MS007: Snow depth and snow water equivalent measurements from Benchmark Stations, along a road course, and historic snow course in the Andrews Experimental Forest, 1978 to present
Notice
"As Is" Basis: All content, including maps and forecasts, is provided without warranties. Users are advised to independently verify critical information.
Citation
Levno, A.; Schulze, M.; Downing, G. 1000. Snow depth and snow water equivalent measurements from Benchmark Stations, along a road course, and historic snow course in the Andrews Experimental Forest, 1978 to present Long-Term Ecological Research Andrews Forest LTER Site. [Database]. Available: https://andrewsforest-stage.forestry.oregonstate.edu/data/fsdb-data-catalog/MS007 Accessed 2026-05-10.
Abstract
With an increase in emphasis on monitoring climate change impacts and change in the form of precipitation at HJ Andrews Experimental Forest, snow data collection within our climate monitoring program, a snow course to document depths of snow was designed around a dispersed sampling scheme rather than a point intensive scheme as previously employed in the historic Reference Stand snow course. Primary objectives are to document the presence/absence of snow, snow depth, and time of melt-off. Snow depths are verified using stakes placed near the road to allow for routine and frequent observation. Stakes are placed at different locations, elevations and aspects in paired forested/open sites. Time-lapse cameras were deployed at all the stakes to allow for daily measurements beginning in fall 2014. Truthing of points with snow core sampling for snow moisture content (snow water equivalent) is done when possible, usually 1-2 times per year. Cameras are set to take 3 readings per day (09:00, 12:00, 15:00 PST). One snow depth and coverage is extracted from the images per stake per day. Additionally, snow water equivalence (SWE) and snow depth are measured in high precision at a few of the Benchmark Meteorological Stations (BMS). These latter data streams were stored in MS001, but were migrated to MS007 in 2025.
Coverage
Temporal coverage: 1000-01-01 to 1000-01-01
Geographic coverage: The current snow course includes old-growth stands and adjacent open areas along the road network within the H. J. Andrews Experimental Forest of the western Oregon Cascades. The historic snow course survey includes some Andrews Reference Stands and Wildcat RNA sites.
Spatial coverage:
Bounds: W -122.24641700, E -122.09452900, N 44.34393100, S 44.20513900
Purpose
- Provide a baseline for characterizing distribution and variation in snow depth, moisture, and duration in the H.J. Andrews Experimental Forest for climatological and hydrological analyses and modelling and to examine differences in snow accumulation in clearcut and adjacent closed forest stands.
Project
Title: Long-Term Ecological Research
Personnel
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Posy Elizabeth Busby - Principal Investigator Assistant Professor OSU Botany & Plant PathologyEmail: busbyp@science.oregonstate.edu, posybusby@gmail.comORCID: 0000-0002-2837-9820
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Matthew G Betts - Principal Investigator Department of Forest Ecosystems and Society; 201E Richardson Hall; College of Forestry; Oregon State University, Corvallis, OR, 97331Phone: (541) 737-3841Email: matt.betts@oregonstate.eduORCID: 0000-0002-7100-2551
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Brooke E. Penaluna - Principal Investigator Email: brooke.penaluna@usda.gov, Brooke.Penaluna@oregonstate.eduORCID: 0000-0001-7215-770X
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Catalina Segura - Principal Investigator Assistant Professor; Department of Forest Engineering, Resources, and Management; Oregon State University, Corvallis, OR, 97331Phone: 541-737-6568Email: catalina.segura@oregonstate.eduORCID: 0000-0002-0924-1172
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David M. Bell - Principal Investigator Email: david.bell@usda.gov, david.bell@oregonstate.eduORCID: 0000-0002-2673-5836
Abstract
- The H.J. Andrews Experimental Forest is a living laboratory that provides unparalleled opportunities for the study of forest and stream ecosystems in the central Cascade Range of Oregon. Since 1980, as a part of the National Science Foundation Long Term Ecological Research (NSF-LTER) program, the Andrews Experimental Forest has become a leader in the analysis of forest and stream ecosystem dynamics.
- Long-term field experiments and measurement programs have focused on climate dynamics, streamflow, water quality, and vegetation succession. Currently researchers are working to develop concepts and tools needed to predict effects of natural disturbance, land use, and climate change on ecosystem structure, function, and species composition.
- The Andrews Experimental Forest is administered cooperatively by the USDA Forest Service Pacific Northwest Research Station, Oregon State University and the Willamette National Forest. Funding for the research program comes from the National Science Foundation (NSF), US Forest Service Pacific Northwest Research Station, Oregon State University, and other sources.
Funding
Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University. National Science Foundation: DEB2025755
Awards
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LTER: Long-Term Ecological Research at the H.J. Andrews Experimental Forest (LTER8) Award Number: DEB2025755Funder: National Science FoundationFunder Identifier: https://ror.org/021nxhr62
Study Area Description
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Long-Term Ecological Research The Andrews Forest is situated in the western Cascade Range of Oregon, and covers the entire 15,800-acre (6400-ha) drainage basin of Lookout Creek. Elevation ranges from 1350 to 5340 feet (410 to 1630 m). Broadly representative of the rugged mountainous landscape of the Pacific Northwest, the Andrews Forest contains excellent examples of the region's conifer forests and associated wildlife and stream ecosystems. These forests are among the tallest and most productive in the world, with tree heights of often greater than 250 ft (75 m). Streams are steep, cold and clean, providing habitat for numerous aquatic organisms.
Associated Party
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Frederick A. Bierlmaier
Role: Former InvestigatorOR, USA
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Christopher Daly
Role: Other ResearcherPRISM Group;Northwest Alliance for Computational Science and Engineering, 2000 Kelley Engineering Center;Oregon State University, Corvallis, OR, 97331, USAPhone: (541) 737-2531Email: daly@nacse.org
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Greg Downing
Role: Other ResearcherForestry Sciences Lab;3200 SW Jefferson Way, Corvallis, OR, 97333, USAPhone: (541) 750-7283, (541) 822-6301Email: gregdowning242@gmail.com, greg.downing@oregonstate.edu
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Greg Downing
Role: Method ContactForestry Sciences Lab;3200 SW Jefferson Way, Corvallis, OR, 97333, USAPhone: (541) 750-7283, (541) 822-6301Email: gregdowning242@gmail.com, greg.downing@oregonstate.edu
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Greg Downing
Role: CreatorForestry Sciences Lab;3200 SW Jefferson Way, Corvallis, OR, 97333, USAPhone: (541) 750-7283, (541) 822-6301Email: gregdowning242@gmail.com, greg.downing@oregonstate.edu
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Donald L. Henshaw
Role: AbstractorPacific Northwest Research Station; Corvallis Forestry Sciences Lab; 3200 SW Jefferson Way, Corvallis, Oregon, 97331Email: hja_admin@lists.oregonstate.edu
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Sherri L. Johnson
Role: Principal InvestigatorUS Forest Service ;Pacific NW Research Station ;3200 SW Jefferson Way, Corvallis, OR, 97331, USAPhone: 541-758-7771Email: sherri.johnson@oregonstate.edu
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Alfred B. Levno
Role: CreatorCorvallis, OR, 97331, USAEmail: ablevno@comcast.net, allevno@hotmail.com
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John Moreau
Role: Former InvestigatorBlue River, OR, 97413, USAEmail: john.b.moreau@icloud.com
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Suzanne M. Remillard
Role: Other ResearcherOffice: FSL 354;; Forest Science Department;; Oregon State University, Corvallis, OR, 97331, USAPhone: (541) 758-8767Email: suzanne.remillard@oregonstate.edu
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Anne W. Nolin
Role: Former InvestigatorDirector, Graduate Program of Hydrologic Sciences and; Professor, Department of Geography; University of Nevada-Reno, Reno, NV, USAPhone: 775-682-8148Email: anne.nolin@gmail.com
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Adam M Kennedy
Role: Other ResearcherOR, USPhone: 541-822-6302Email: adam.kennedy@oregonstate.edu
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Adam B. Mazurkiewicz
Role: Former InvestigatorCAEmail: amazurkiewicz@sfwater.org
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Mark D Schulze
Role: Principal InvestigatorH.J. Andrews Experimental Forest; PO Box 300, Blue River, OR, 97413Phone: 541-822-6336Email: mark.schulze@oregonstate.edu
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Mark D Schulze
Role: CreatorH.J. Andrews Experimental Forest; PO Box 300, Blue River, OR, 97413Phone: 541-822-6336Email: mark.schulze@oregonstate.edu
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Stephanie A Schmidt
Role: Other ResearcherUSDA Forest Service; 3200 SW Jefferson Way, Corvallis, Oregon, 97331Email: stephanie.schmidt@oregonstate.edu, stephanie.schmidt2@usda.gov
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Don Henshaw
Role: Former InvestigatorEmail: donny.henshaw@gmail.com
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Benjamin E. Nash
Role: Other ResearcherEmail: benjamin.nash@usda.gov
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Benjamin E. Nash
Role: Method ContactEmail: benjamin.nash@usda.gov
Contact
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Information Manager
Andrews Forest LTER Program, US Forest Service Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR, 97331Email: hjaweb@lists.oregonstate.edu
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Stephanie A Schmidt
USDA Forest Service; 3200 SW Jefferson Way, Corvallis, Oregon, 97331Email: stephanie.schmidt@oregonstate.edu, stephanie.schmidt2@usda.gov
Publisher
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Andrews Forest LTER Site
Role: PublisherForest Ecosystems and Society Department in Forestry, Oregon State University, 201K Richardson Hall, Corvallis, OR, 97331-5752Phone: (541) 737-8480Email: lterweb@lists.oregonstate.edu
Study Description
With an increase in emphasis on monitoring climate change impacts and change in the form of precipitation at HJ Andrews Experimental Forest, snow data collection within our climate monitoring program, a snow course to document depths of snow was designed around a dispersed sampling scheme rather than a point intensive scheme as previously employed in the historic Reference Stand snow course. Primary objectives are to document the presence/absence of snow, snow depth, and time of melt-off. Snow depths are verified using stakes placed near the road to allow for routine and frequent observation. Stakes are placed at different locations, elevations and aspects in paired forested/open sites. Time-lapse cameras were deployed at all the stakes to allow for daily measurements beginning in fall 2014. Truthing of points with snow core sampling for snow moisture content (snow water equivalent) is done when possible, usually 1-2 times per year. Cameras are set to take 3 readings per day (09:00, 12:00, 15:00 PST). One snow depth and coverage is extracted from the images per stake per day. Additionally, snow water equivalence (SWE) and snow depth are measured in high precision at a few of the Benchmark Meteorological Stations (BMS). These latter data streams were stored in MS001, but were migrated to MS007 in 2025. Provide a baseline for characterizing distribution and variation in snow depth, moisture, and duration in the H.J. Andrews Experimental Forest for climatological and hydrological analyses and modelling and to examine differences in snow accumulation in clearcut and adjacent closed forest stands. Field Methods - MS007: Snow lysimeter
Purpose: Provide a baseline for characterizing distribution and variation in snow depth, moisture, and duration in the H.J. Andrews Experimental Forest for climatological and hydrological analyses and modelling and to examine differences in snow accumulation in clearcut and adjacent closed forest stands.
Methods
Method Steps
Field Methods - MS007: Snow lysimeter
- The follow link describes data collection methods (by date range and resolution) that have been used by each unique probe. Results are filtered by database code, sitecode, parameter, and probe.
- https://andlter.forestry.oregonstate.edu/MethodCode/View_History.aspx
- Please follow this link to view climate data collection methods that have been used over time at select stations. Results can be filtered by parameter, climate station, and date range. A general text search is also available.
- https://hjandrews.shinyapps.io/im_methods_history/
- Precipitation and melting snow runoff are measured by a tipping bucket with tips summarized in 5 minute intervals. General installation: The lysmeter collection pan was constructed from 2 x 12s and plywood. The pan was covered with hyplon (white vinyl polymer), and a bathtub drain installed in one corner. The pan was installed on the ground surface and was leveled such that the collected water would flow to the corner with the drain. The water is then directed to a tipping bucket (TB) in the basement of the structure by pvc pipe which is buried to prevent freezing. The final deminsions of the lysimeter pan are 92" x 93" x 12", so a volume of water equal to .01" of ppt is 1.4032 L.
Instrumentation:
- The Campbell data logger records the Tipping Bucket snow lysimeter tips (.01" of ppt/snowmelt input). An electromagnetic counter acts as a check to recorded tips. Sensors are connected to the data logger through a Campbell wiring panel.
Field Methods - MS007: Snow moisture and depth
- The follow link describes data collection methods (by date range and resolution) that have been used by each unique probe. Results are filtered by database code, sitecode, parameter, and probe.
- https://andlter.forestry.oregonstate.edu/MethodCode/View_History.aspx
- Please follow this link to view climate data collection methods that have been used over time at select stations. Results can be filtered by parameter, climate station, and date range. A general text search is also available.
- https://hjandrews.shinyapps.io/im_methods_history/
- Snow water equivalence (SWE) and snow depth are measured every 5 minutes. Due to high variability in readings, particularly of snow depth, values may only be posted every hour for some data. Snow moisture is measured with a Park Mechanical pressure pillow and Druck pressure transducer. Snow depth is measured with a Campbell Scientific model SR50 sonic ranging snow depth sensor or Judd communications snow depth sensor. The snow depth sensor takes up to 10 readings, performs error checking and outputs a reading in mm every 5 minutes. Depth sensor measurement range is 0.5 to 10 meters. The snow sensor is mounted on a long pipe extending from the shelter. The snow pillow readings are instantaneous at 5 minute intervals. Campbell Scientific data logger is used. Snow moisture and snow depth are merged in the output files.
Instrumentation:
- Snow moisture is measured with a Park Mechanical pressure pillow and Druck pressure trandsducer. Snow depth is measured with a Campbell Scientific model SR50 sonic ranging snow depth sensor or Judd communications snow depth sensor. Campbell Scientific data loggers are used.
Field Methods - MS007: Snow course
- Snow moisture and snow depth are measured with snow cores at 5 points across a transect (see entity 20). This station snow course (transect) is near the station and tries to follow a single contour. The average of these 5 points provides a check of the snow pillow and snow depth sensor. Snow depth is also measured at each corner of the station snow pillow using a permanently set graduated stake (pvc pipe). The average depth is converted to snow water equivalence using the density calculated from the station snow course.
Instrumentation:
- Mt Rose snow core sampler
Field Methods - MS007: Road snow course
- A snow stake is established at each site with a metal fence post driven into the ground to support a 2" PVC pipe that slides over the post. Survey rod decals are placed on most of the PVC pipes except at lower elevation sites where shorter stakes are adequate and stream level metal guys are used as the calibration system. Slope and aspect are recorded for all sites, as well as the initial stake tare reading relative to the ground (not all stakes have zero at the ground level).
- Before 2014, depth measurements at the stake were recorded, and high and low depth values were visually estimated only. These data were routinely recorded at the stakes while driving to other field activities. Typically, the Upper Lookout stakes on Rd. 1506 and Rd. 350 stakes were read once every 3 weeks. The 1507 stakes were sampled only once or twice a year. A check sheet was established to keep the collected field data organized.
- In 2014, timelapse cameras (mounted on trees with a small overhanging shelter) were tested to capture daily images of the snow stakes. In 2015, they were deployed at all snow stake locations as the primary means of data collection, but not replacing in-person site visits and data collection with check sheets. The cameras are set up to capture 3 images a day at 09:00, 12:00, and 15:00 PST. One of the three images, usually 12:00 by default, is interpreted later during data entry for snow depth and snow cover.
- A special trip is also made at least once per year to collect snow water equivalent (SWE) measurements as a way of ground truthing the snow in the vicinity of the stake for snow moisture. The nearby snow stake is measured at the same time. SWE Measurements at each stake are conducted by taking three snow core measurements with the Mt. Rose or “federal” snow tube sampling equipment to establish a relationship between snowpack water equivalence and depth. The snow tube core sampler is pushed down to the soil surface interface, depth is recorded, and snow is extracted. The snow core is measured, any soil plug removed, and the core weighed on a spring balance, with the tare weight of the corer subtracted, and the actual snow weight is converted to millimeters of equivalent water.
- The snow tube sampling procedure generally follows the NRCS snow sampling procedure except only three cores are taken. If there is a complete snowpack around the snow stake, 3 points are taken in the immediate vicinity of the snow stake (3 points approximately 1 meter equidistant from stake) and averaged. If the snow coverage is patchy, core sample placement becomes more subjective with limited spots where a useful core can be sampled. In the NRCS snow course a particular point not having any snow would be recorded as zero, but here all of our ground truthing cores have some amount of snow because points are selected for representation of the density of the snow (and not for representative depth). The % snow cover is estimated from camera images to document snow patchiness.
Instrumentation:
- <para>Mt. Rose or “federal” snow core sampler. Note that a new snow core sampler was put into use on approximately March 1, 1999. The new scale can measure greater weights. Generally, comparable snow cores weigh less on the new scale in comparison to the older one.</para> <para>Wingscapes timelapse cameras, including Birdcam Pro WCB-00019 and TimelapseCam Pro WCT-00121, WCT-00122, and WCT-00126 with SD card and C or AA batteries, depending on the model.</para>
Field Methods - MS007: Reference Stand snow course
- At each site, snow is sampled at 10 points along a transect at 5 meter intervals. In 1988 the number of points was reduced to 5 per site. The snow tube core sampler is pushed to soil surface interface, depth is recorded, and snow is extracted. The length of the snow core is measured as an indicator of snow compaction. The snow is weighed on a spring balance, the tare weight of the corer is subtracted, and actual snow weight is converted to inches of equivalent water. In Reference Stands 4,12,13,14 paired transects in closed forest and open areas are taken. An open site was added at RS03 and RS26 for 1 year (WY90). At RS04, the open canopy site was moved to the road beginning WY91. Throughout the 1990's only RS04 and Wildcat RNA sites (RS13, RS14 open-closed canopy pairs) are measured, and only RS13 and RS14 after 2000. These measurement s were discontinued in 2003.
Instrumentation:
- Mt. Rose or “federal” snow core sampler.
Processing Procedures - MS007
- The cameras are removed from the field at the end of the snow season (usually May). The files are downloaded to directories by snow year and stake (sitecode). An in-house C# program was written to allow a person to review and record data from each image. Data then undergo a suite of QA/QC procedures. The data are converted to metric units and flags are applied.
Data Entry - MS007
- The snow stake data from the field check sheets were originally entered into a spreadsheet. An in-house C# program was developed to make image interpretation and data entry easier for a quantity of images that can exceed 20,000 in each season. This program is used for sequencing images and entry from the field check sheets. Depth is entered in increments of 0.1 foot, and non-zero values less than 0.05 feet are interpreted as a ‘trace’ amount of snow. In some cases, high and low depths were estimated from the images as well, but this was discontinued following snow year 2017 due to its difficulty and low confidence in the numbers produced.
- Snow cover is considered only for the relevant open or closed canopy areas with consideration for site specific factors such as vegetation, roads, tracks from vehicles, field of view, camera angle and height, and “stake” well or mound. For example, the snow stake can accelerate melting (e.g. albedo effect), which creates a depression around the stake (i.e. “stake” well), or through wind, can cause a small snowdrift or snow to mound up around the stake, issues which are accounted for by assessing the area around the stake to compensate for its effects. Data obtained from blurry or obscured images (with variability in megapixels between camera models) is sometimes inferred when reasonable and flagged as Q (questionable or estimated) and left blank when not able to read.
Quality Assurance - MS007
- The time-lapse cameras are removed every summer (usually May) and reinstalled in fall (usually November), and because of this, the exact orientation of the cameras differs slightly from year to year. Efforts are made annually to maintain the snow stake sites, such as clearing vegetation, trimming low branches, etc., but there is always some environmental variability. A few stakes have been moved, which is indicated by the position attribute in the data.
- To ensure quality data, those assessing data in the field and processing snow stake images are trained by more experienced personnel and given guidance on visual interpretation and data entry. However, with assistance from a variety of personnel over the years, the human factor in interpretation, the difficulty in assessing percent cover from a vertical camera, the limits of equipment in winter conditions, and uncontrollable environmental variables, there is a degree of imprecision in the data that should be acknowledged.
- After data entry, there is a stepwise review that occurs on both the data entered online and through spreadsheets and programs by data managers and field personnel. The data is flagged and corrected for issues such as mistakes and typos, illogical values, and inconsistencies. The entry notes are also used to help flag data appropriately. The snow depth is eventually converted to metric units and made available. The snow images and data sheets are also archived.
Quality Assurance - Fire effects on data
- The HJ Andrews Experimental Forest was affected by wildfires in 2020, 2023, and, to a lesser degree, 2024. Documentation is being developed that will describe the potential impacts on long-term records, provide the date ranges of direct impact, and describe specific site or data impacts. The use of the BURNED event_code was expanded to include wildfire, and a code was added to each relevant attribute flag to indicate when fire effects are visible in the data (P=Pyro).
Sampling
Study Extent
- Measurement sites include recent clearcuts and adjacent old-growth stands in the H. J. Andrews and vicinity from Reference Stands at 430 -1450 meter elevation, and include two open-forest paired sites in the Wildcat Research Natural Area.
- Sampling frequency: daily
Sampling Description
- Four Benchmark Meteorological Stations (BMS) and two second-level stations are included in the MS001 database. The Primary Meteorological and Vanilla Leaf Meteorological BMS are retained. Two new BMS are installed. In 1994, the Upper Lookout Meteorological Station was established at high elevation (4200 ft, ENE aspect) on clearcut L708 in the SE Andrews. In 1995 the Central Meteorological BMS was established at a centrally located site on clearcut L351 (3300 ft, WSW aspect) in the east-central Andrews. A GIS analysis of elevation and aspect indicated the average elevation (3170 ft., 966 m) and average aspect (267 degrees) of the Andrews Forest, and the Central Met Station was located to represent these general averages. Modifications are made to the Primary and Vanilla Leaf Stations to standardize measured variables, temporal resolution, methods, and instrumention across all BMS. Sites will be cleared and required openings maintained following standards of the National Weather Service, the LTER network, and where appropriate, the NADP network. Telemetering of all BMS was completed in 1996. Second-level stations (SLS) at the Hi-15 and WS 2 Climatic Station will continue to be maintained for measurement of precipitation, temperature, and other data to maintain continuity of historical records. These sites also follow established procedural standards.
- The BMS include meteorological measurement of air and soil temperature, relative humidity, calculated dew point temperature and vapor pressure deficit, wind speed and direction measurement, incoming solar radiation, photosynthetically active radiation (PAR), soil moisture, snow melt, and snow moisture and depth.
- Snow stakes were established starting at the Primary Met Station (430 meters elevation) and at approximately 150 meter elevation increments along Andrews Forest roads. Sites are established in open canopy/closed forest pairs, with stakes at each paired location as close together as possible. One stake is placed in a forest opening (no canopy interference with snow accumulation) and one stake is placed in an older forest (preferably an old growth stand). Before snow year 2015 that starts in fall 2014, observations of snow depth were made in person and not on any schedule. Since fall 2014, daily depths of snow in the vicinity of the snow stake are recorded from camera images. Snow water equivalent measurements (snow moisture content) are collected once or twice per year with 3 snow cores taken in the vicinity of the snow stake and averaged. The historic Reference Stand snow course included paired open and closed canopy locations within the Andrews Reference Stands and Wildcat RNA thermograph sites.
Spatial Sampling Units
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Reference Stand RS03 air/soil temperature site
W -122.15846354, E -122.15846354, N 44.25886274, S 44.25886274Altitude: 978 to 978 meter
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Reference Stand RS04 air/soil temperature site
W -122.13686341, E -122.13686341, N 44.27307944, S 44.27307944Altitude: 1307 to 1307 meter
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Reference Stand RS12 air/soil temperature site
W -122.12067463, E -122.12067463, N 44.22586082, S 44.22586082Altitude: 987 to 987 meter
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Reference Stand RS13 air/soil temperature site
W -122.12321700, E -122.12321700, N 44.34393100, S 44.34393100Altitude: 1350 to 1350 meter
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Reference Stand RS14 air/soil temperature site
W -122.09452900, E -122.09452900, N 44.32745400, S 44.32745400Altitude: 1430 to 1430 meter
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Reference Stand RS26 air/soil temperature site
W -122.17440170, E -122.17440170, N 44.26757433, S 44.26757433Altitude: 1037 to 1037 meter
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Reference Stand RS38 air/soil temperature site (formerly TS38__)
W -122.18110079, E -122.18110079, N 44.26403748, S 44.26403748Altitude: 957 to 957 meter
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Mack West raingage
W -122.17117700, E -122.17117700, N 44.21180000, S 44.21180000Altitude: 1167 to 1167 meter
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Midway raingage
W -122.18503100, E -122.18503100, N 44.25113900, S 44.25113900Altitude: 767 to 767 meter
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Road 320 forest site 1 snow stake
W -122.20174200, E -122.20174200, N 44.24209400, S 44.24209400Altitude: 675 to 675 meter
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Road 320 forest site 2 snow stake
W -122.18273900, E -122.18273900, N 44.25210800, S 44.25210800Altitude: 805 to 805 meter
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Road 320 forest site 3 snow stake
W -122.17370800, E -122.17370800, N 44.26465800, S 44.26465800Altitude: 935 to 935 meter
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Road 320 forest site 4 snow stake
W -122.18490300, E -122.18490300, N 44.26346700, S 44.26346700Altitude: 978 to 978 meter
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Road 320 open site 1 snow stake
W -122.20133600, E -122.20133600, N 44.24231900, S 44.24231900Altitude: 661 to 661 meter
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Road 320 open site 2 snow stake
W -122.18181100, E -122.18181100, N 44.25333600, S 44.25333600Altitude: 793 to 793 meter
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Road 320 open site 3 snow stake
W -122.17390600, E -122.17390600, N 44.26435800, S 44.26435800Altitude: 916 to 916 meter
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Road 320 open site 4 snow stake
W -122.17673600, E -122.17673600, N 44.26657200, S 44.26657200Altitude: 997 to 997 meter
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Road 350 forest site 1 snow stake
W -122.15224900, E -122.15224900, N 44.23884400, S 44.23884400Altitude: 919 to 919 meter
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Road 350 forest site 2 snow stake
W -122.15223200, E -122.15223200, N 44.24724500, S 44.24724500Altitude: 1057 to 1057 meter
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Road 350 forest site 3 snow stake
W -122.14758700, E -122.14758700, N 44.26136800, S 44.26136800Altitude: 1233 to 1233 meter
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Road 350 forest site 4 snow stake
W -122.13978800, E -122.13978800, N 44.27693200, S 44.27693200Altitude: 1408 to 1408 meter
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Road 350 open site 1 snow stake
W -122.15193900, E -122.15193900, N 44.23760500, S 44.23760500Altitude: 892 to 892 meter
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Road 350 open site 2 snow stake
W -122.15286300, E -122.15286300, N 44.24768100, S 44.24768100Altitude: 1063 to 1063 meter
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Road 350 open site 3 snow stake
W -122.14359100, E -122.14359100, N 44.26367200, S 44.26367200Altitude: 1263 to 1263 meter
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Road 350 open site 4 snow stake
W -122.13901500, E -122.13901500, N 44.27641000, S 44.27641000Altitude: 1387 to 1387 meter
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Road 360 forest site 1 snow stake
W -122.19413000, E -122.19413000, N 44.23154400, S 44.23154400Altitude: 622 to 622 meter
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Road 360 forest site 2 snow stake
W -122.16940200, E -122.16940200, N 44.22220000, S 44.22220000Altitude: 761 to 761 meter
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Road 360 open site 1 snow stake
W -122.19334000, E -122.19334000, N 44.23108900, S 44.23108900Altitude: 629 to 629 meter
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Road 360 open site 2 snow stake
W -122.16975200, E -122.16975200, N 44.22222000, S 44.22222000Altitude: 769 to 769 meter
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Road 1506 forest site 1 snow stake
W -122.24641700, E -122.24641700, N 44.21576700, S 44.21576700Altitude: 453 to 453 meter
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Road 1506 forest site 2 snow stake
W -122.22297500, E -122.22297500, N 44.22731100, S 44.22731100Altitude: 574 to 574 meter
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Road 1506 forest site 3 snow stake
W -122.18417800, E -122.18417800, N 44.23240800, S 44.23240800Altitude: 629 to 629 meter
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Road 1506 forest site 4 snow stake
W -122.16105800, E -122.16105800, N 44.23290000, S 44.23290000Altitude: 780 to 780 meter
-
Road 1506 forest site 5 snow stake
W -122.12591400, E -122.12591400, N 44.23078100, S 44.23078100Altitude: 1006 to 1006 meter
-
Road 1506 forest site 6 snow stake
W -122.11292800, E -122.11292800, N 44.21371900, S 44.21371900Altitude: 1164 to 1164 meter
-
Road 1506 open site 1 snow stake
W -122.20588900, E -122.20588900, N 44.21184200, S 44.21184200Altitude: 430 to 430 meter
-
Road 1506 open site 2 snow stake
W -122.22970200, E -122.22970200, N 44.22692400, S 44.22692400Altitude: 568 to 568 meter
-
Road 1506 open site 3 snow stake
W -122.18324200, E -122.18324200, N 44.23222800, S 44.23222800Altitude: 632 to 632 meter
-
Road 1506 open site 4 snow stake
W -122.16731700, E -122.16731700, N 44.23025800, S 44.23025800Altitude: 739 to 739 meter
-
Road 1506 open site 5 snow stake
W -122.12786700, E -122.12786700, N 44.23107800, S 44.23107800Altitude: 970 to 970 meter
-
Road 1506 open site 6 snow stake
W -122.11356700, E -122.11356700, N 44.21491100, S 44.21491100Altitude: 1125 to 1125 meter
-
Road 1507 forest site 1 snow stake
W -122.21875100, E -122.21875100, N 44.22067900, S 44.22067900Altitude: 780 to 780 meter
-
Road 1507 forest site 2 snow stake
W -122.20488400, E -122.20488400, N 44.21894800, S 44.21894800Altitude: 946 to 946 meter
-
Road 1507 forest site 3 snow stake
W -122.20711100, E -122.20711100, N 44.21523900, S 44.21523900Altitude: 1069 to 1069 meter
-
Road 1507 forest site 4 snow stake
W -122.16847300, E -122.16847300, N 44.20736500, S 44.20736500Altitude: 1193 to 1193 meter
-
Road 1507 open site 1 snow stake
W -122.21871200, E -122.21871200, N 44.21922700, S 44.21922700Altitude: 766 to 766 meter
-
Road 1507 open site 2 snow stake
W -122.20464200, E -122.20464200, N 44.21963500, S 44.21963500Altitude: 927 to 927 meter
-
Road 1507 open site 3 snow stake
W -122.20448900, E -122.20448900, N 44.21483200, S 44.21483200Altitude: 1098 to 1098 meter
-
Road 1507 open site 4 snow stake
W -122.16812700, E -122.16812700, N 44.20752300, S 44.20752300Altitude: 1180 to 1180 meter
-
Roads End raingage
W -122.13794700, E -122.13794700, N 44.20513900, S 44.20513900Altitude: 1348 to 1348 meter
-
Road 350 forest site 4 snow stake, alternative site
W -122.13978800, E -122.13978800, N 44.27693200, S 44.27693200Altitude: 1408 to 1408 meter
-
H.J. Andrews Snow Stakes
W -122.24641700, E -122.11292800, N 44.27693200, S 44.20736500Altitude: 1408 to 1408 meter
-
Andrews Forest and vicinity Reference Stands
W -122.25882600, E -122.11525700, N 44.27566300, S 44.20057900Altitude: 1305 to 1305 meter
-
Central Meteorological Station
W -122.14109300, E -122.14109300, N 44.24348200, S 44.24348200Altitude: 1028 to 1028 meter
-
Upper Lookout Meteorological Station
W -122.11976300, E -122.11976300, N 44.20709700, S 44.20709700Altitude: 1284 to 1284 meter
-
Vanilla Leaf Meteorological Station
W -122.14936800, E -122.14936800, N 44.27161800, S 44.27161800Altitude: 1268 to 1268 meter
-
High 15 Meteorological Station
W -122.17378247, E -122.17378247, N 44.26425069, S 44.26425069Altitude: 909 to 909 meter
-
Vanilla Leaf Meadow Meteorological Station
W -122.14966300, E -122.14966300, N 44.27332900, S 44.27332900Altitude: 1300 to 1300 meter
Software
No software entries listed in this EML file.
Keywords
- LTER controlled vocabulary: hydrology (theme), climatology (theme), microclimate (theme), precipitation (theme), snow water equivalence (theme), snow depth (theme), reference stands (theme), modeling (theme), canopy gaps (theme)
- Andrews Experimental Forest site thesaurus: forest management (theme)
Taxonomic Hierarchy
No taxonomic hierarchy listed in this EML file.
Data Entities
| # | Entity | Metadata | Data |
|---|---|---|---|
| 1 |
MS00701
Snow depth and snow water equivalent measurements along road course Snow depth and coverage data from actual site visits, beginning in 1994, and snow stake camera readings, beginning in snow year 2015 |
METADATA | DATA |
| 2 |
MS00702
Reference Stand snow depth and snow water equivalent measurements Originally measured at 18 sites; Measurements at the final four sites were discontinued in 2003 |
METADATA | DATA |
| 3 |
MS00709
Snowmelt lysimeter (daily) Total daily snow/rain water runoff is post-calculated from high resolution snowmelt lysimeter measurements (entity 19); this measurement is now discontinued. |
METADATA | DATA |
| 4 |
MS00710
Snow water equivalence (SWE) and snow depth (daily midnight) Data is the median snow water equivalence (SWE) and snow depth for the last hour of each day at VANMET, UPLMET, CENMET, and VARMET |
METADATA | DATA |
| 5 |
MS00719
Snowmelt lysimeter (fine temporal resolution) Snowmelt lysimeter measurements occurred at H15MET, UPLMET, and CENMET starting in the early 1990's through water year 2018; this measurement is now discontinued. |
METADATA | DATA |
| 6 |
MS00720
Snow water equivalence (SWE) and snow depth (median depth for each hour) Data is the median snow water equivalence (SWE) and snow depth for each hour of at VANMET, UPLMET, CENMET, and VARMET |
METADATA | DATA |
| 7 |
MS00730
Snow water equivalence (SWE) and snow depth based on episodic snow course measurements near the station Met Station snow course data is taken every 3 weeks at CENMET, VANMET, UPLMET, and VARMET on fixed transects and around the snow pillow |
METADATA | DATA |
Metadata
MS00701 - Snow depth and snow water equivalent measurements along road course
Object name: MS00701_v4.csv
Records: 57781
Attributes: 20
Temporal coverage: 1000-01-01 to 1000-01-01
File size: 4280049 byte
Checksum (MD5): 7f95b63a79c3c3f77bf5f02ef761ef62
Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column
Constraints (2)
-
primaryKey: PRIMARY MS00701.DATE_TIME, MS00701.SITECODE, MS00701.POSITION, MS00701.SNOW_DEPTH_METHOD, MS00701.SNOW_YEAR
-
notNullConstraint: NOTNULL MS00701.DATE_TIME, MS00701.DBCODE, MS00701.SITECODE, MS00701.ENTITY, MS00701.POSITION, MS00701.SNOW_DEPTH_METHOD, MS00701.SNOW_YEAR
Attributes (20)
DBCODE - char(5) (nominal)
ID: MS00701.DBCODE
Database code MS007
Type system: Microsoft SQL Server 2019
Code definitions (1)
-
MS007
Study code MS007
ENTITY - numeric(1,0) (ratio)
ID: MS00701.ENTITY
Entity number
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1.000000
Numeric domain: type=natural, min=1.0000 (exclusive=false), max=1.0000 (exclusive=false)
SNOW_YEAR - numeric(4,0) (interval)
ID: MS00701.SNOW_YEAR
Snow year represents the winter season that typically starts in the fall of the previous calendar year
Type system: Microsoft SQL Server 2019
Unit: year (yyyy)
Precision: 1
Numeric domain: type=whole, min=1995.0000 (exclusive=false), max=2022.0000 (exclusive=false)
SITECODE - char(6) (nominal)
ID: MS00701.SITECODE
Site code for the snow measurement site
Type system: Microsoft SQL Server 2019
Code definitions (64)
-
CENMET
Central Meteorological Station
-
UPLMET
Upper Lookout Meteorological Station
-
VANMET
Vanilla Leaf Meteorological Station
-
H15MET
High 15 Meteorological Station
-
RS03__
Reference Stand RS03 air/soil temperature site
-
RS04__
Reference Stand RS04 air/soil temperature site
-
RS12__
Reference Stand RS12 air/soil temperature site
-
RS13__
Reference Stand RS13 air/soil temperature site
-
RS14__
Reference Stand RS14 air/soil temperature site
-
RS26__
Reference Stand RS26 air/soil temperature site
-
RS38__
Reference Stand RS38 air/soil temperature site (formerly TS38__)
-
RS13O_
Reference Stand RS13 Open canopy air/soil temperature site
-
MACKWE
Mack West raingage
-
MIDWAY
Midway raingage
-
R320F1
Road 320 forest site 1 snow stake
-
R320F2
Road 320 forest site 2 snow stake
-
R320F3
Road 320 forest site 3 snow stake
-
R320F4
Road 320 forest site 4 snow stake
-
R320O1
Road 320 open site 1 snow stake
-
R320O2
Road 320 open site 2 snow stake
-
R320O3
Road 320 open site 3 snow stake
-
R320O4
Road 320 open site 4 snow stake
-
R350F1
Road 350 forest site 1 snow stake
-
R350F2
Road 350 forest site 2 snow stake
-
R350F3
Road 350 forest site 3 snow stake
-
R350F4
Road 350 forest site 4 snow stake
-
R350O1
Road 350 open site 1 snow stake
-
R350O2
Road 350 open site 2 snow stake
-
R350O3
Road 350 open site 3 snow stake
-
R350O4
Road 350 open site 4 snow stake
-
R360F1
Road 360 forest site 1 snow stake
-
R360F2
Road 360 forest site 2 snow stake
-
R360O1
Road 360 open site 1 snow stake
-
R360O2
Road 360 open site 2 snow stake
-
R506F1
Road 1506 forest site 1 snow stake
-
R506F2
Road 1506 forest site 2 snow stake
-
R506F3
Road 1506 forest site 3 snow stake
-
R506F4
Road 1506 forest site 4 snow stake
-
R506F5
Road 1506 forest site 5 snow stake
-
R506F6
Road 1506 forest site 6 snow stake
-
R506O1
Road 1506 open site 1 snow stake
-
R506O2
Road 1506 open site 2 snow stake
-
R506O3
Road 1506 open site 3 snow stake
-
R506O4
Road 1506 open site 4 snow stake
-
R506O5
Road 1506 open site 5 snow stake
-
R506O6
Road 1506 open site 6 snow stake
-
R507F1
Road 1507 forest site 1 snow stake
-
R507F2
Road 1507 forest site 2 snow stake
-
R507F3
Road 1507 forest site 3 snow stake
-
R507F4
Road 1507 forest site 4 snow stake
-
R507O1
Road 1507 open site 1 snow stake
-
R507O2
Road 1507 open site 2 snow stake
-
R507O3
Road 1507 open site 3 snow stake
-
R507O4
Road 1507 open site 4 snow stake
-
RDSEND
Roads End raingage
-
RS03O_
Reference Stand RS03 Open canopy snow course site
-
RS04O_
Reference Stand RS04 Open canopy snow course site
-
RS05O_
Reference Stand RS05 Open canopy snow course site
-
RS12O_
Reference Stand RS12 Open canopy snow course site
-
RS14O_
Reference Stand RS14 Open canopy snow course site
-
RS18O_
Reference Stand RS18 Open canopy snow course site
-
RS26O_
Reference Stand RS26 Open canopy snow course site
-
VARMET
Vanilla Leaf Meadow Meteorological Station
-
R350E4
Road 350 forest site 4 snow stake, alternative site
POSITION - numeric(1,0) (ratio)
ID: MS00701.POSITION
Position number is '1' unless the snow stake location has been moved from the original location, in which case the position number is incremented by 1
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1.000000
Numeric domain: type=natural, min=1.0000 (exclusive=false), max=3.0000 (exclusive=false)
DATE_TIME - datetime (dateTime)
ID: MS00701.DATE_TIME
Date and time in Pacific Standard Time (PST) of sensor reading
Type system: Microsoft SQL Server 2019
Date format: YYYY-MM-DD hh:mm:ss
SNOW_DEPTH_METHOD - char(1) (nominal)
ID: MS00701.SNOW_DEPTH_METHOD
Snow depth method indicates whether depth has been measured directly during a site visit or is determined from a snow camera image
Type system: Microsoft SQL Server 2019
Code definitions (2)
-
V
Snow depth at the stake is measured directly during a site visit
-
I
Snow depth at the stake is determined from a snow camera image
SNOW_DEPTH_INST - numeric(4,0) (ratio)
ID: MS00701.SNOW_DEPTH_INST
Instantaneous snow depth as measured against an established snow stake
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 15.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=3414.0000 (exclusive=false)
SNOW_DEPTH_INST_FLAG - char(1) (nominal)
ID: MS00701.SNOW_DEPTH_INST_FLAG
Instantaneous snow depth qualifier flag
Type system: Microsoft SQL Server 2019
Code definitions (5)
-
A
Accepted value
-
+
Snow depth exceeds height of snow stake - a snow core depth will be used if taken, otherwise the maximum stake height is used
-
M
Missing value
-
Q
Questionable value
-
T
Trace of snow (<0.05 ft.)
SNOW_COVER - numeric(3,0) (ratio)
ID: MS00701.SNOW_COVER
Visual estimate of percent of area covered with snow in immediate vicinity
Type system: Microsoft SQL Server 2019
Unit: percent
Precision: 10.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=100.0000 (exclusive=false)
SNOW_COVER_FLAG - char(1) (nominal)
ID: MS00701.SNOW_COVER_FLAG
Snow coverage percent qualifier flag
Type system: Microsoft SQL Server 2019
Code definitions (4)
-
A
Accepted value
-
M
Missing
-
Q
Questionable
-
T
Trace of snow (<0.05 ft., 3-15 mm)
SNOW_DEPTH_LOW - numeric(4,0) (ratio)
ID: MS00701.SNOW_DEPTH_LOW
Visual estimate of lowest snow depth in the immediate vicinity based on variation from the observed depth measurement at the survey stake
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 50.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=3353.0000 (exclusive=false)
SNOW_DEPTH_LOW_FLAG - char(1) (nominal)
ID: MS00701.SNOW_DEPTH_LOW_FLAG
Low snow depth qualifier flag
Type system: Microsoft SQL Server 2019
Code definitions (4)
-
A
Accepted value
-
M
Missing value
-
Q
Questionable value
-
T
Trace of snow (<0.05 ft., 3-15 mm)
SNOW_DEPTH_HI - numeric(4,0) (ratio)
ID: MS00701.SNOW_DEPTH_HI
Visual estimate of highest snow depth in the immediate vicinity based on variation from the observed depth measurement at the survey stake
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 50.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=3475.0000 (exclusive=false)
SNOW_DEPTH_HI_FLAG - char(1) (nominal)
ID: MS00701.SNOW_DEPTH_HI_FLAG
High snow depth qualifier flag
Type system: Microsoft SQL Server 2019
Code definitions (4)
-
A
Accepted value
-
M
Missing value
-
Q
Questionable value
-
T
Trace of snow (<0.05 ft., 3-15 mm)
SWE_INST - numeric(4,0) (ratio)
ID: MS00701.SWE_INST
Instantaneous snow water equivalent measurement using a Mt. Rose snow tube sampler (represents an average of multiple sample cores) - measurement location varies within the vicinity of the site snow stake
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 15.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=1397.0000 (exclusive=false)
SWE_INST_FLAG - char(1) (nominal)
ID: MS00701.SWE_INST_FLAG
Instantaneous snow water equivalent qualifier flag
Type system: Microsoft SQL Server 2019
Code definitions (6)
-
A
Accepted value
-
B
Bulk sample taken due to low snow depth - 3 samples combined using weighted average
-
M
Missing value
-
N
Insufficient snow depth for core sampler measurement of snow moisture
-
S
Single snow core sample point only - usually 3 cores are taken
-
+
Full depth was not recorded by snow core - depth exceeds length of core sampler
TUBE_DEPTH - numeric(4,0) (ratio)
ID: MS00701.TUBE_DEPTH
Snow depth as measured by the Mt. Rose snow tube sampler (represents an average of multiple depth readings) - measurement location varies within the vicinity of the site snow stake
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 15.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=3454.0000 (exclusive=false)
TUBE_DEPTH_FLAG - char(1) (nominal)
ID: MS00701.TUBE_DEPTH_FLAG
Snow tube depth qualifier flag
Type system: Microsoft SQL Server 2019
Code definitions (7)
-
A
Accepted value
-
M
Missing value
-
N
Insufficient snow depth for core sampler measurement of snow depth
-
Q
Questionable value
-
T
Trace of snow (<0.05 ft., 1-15 mm)
-
S
Single snow core sample point only - usually 3 cores are taken
-
B
Bulk core sample - one bulk sample is used rather than multiple independent samples to determine SWE
NOTES - char(254) (nominal)
ID: MS00701.NOTES
Data entry notes with either camera or field conditions
Type system: Microsoft SQL Server 2019
MS00702 - Reference Stand snow depth and snow water equivalent measurements
Object name: MS00702_v4.csv
Records: 826
Attributes: 8
Temporal coverage: 1000-01-01 to 1000-01-01
File size: 40997 byte
Checksum (MD5): 772dfca96a266f8088d99afb54d428e9
Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column
Constraints (2)
-
primaryKey: PRIMARY MS00702.DATE_TIME, MS00702.SITECODE
-
notNullConstraint: NOTNULL MS00702.DATE_TIME, MS00702.DBCODE, MS00702.SITECODE, MS00702.ENTITY
Attributes (8)
DBCODE - char(5) (nominal)
ID: MS00702.DBCODE
Database code MS007
Type system: Microsoft SQL Server 2019
Code definitions (1)
-
MS007
Study code MS007
ENTITY - numeric(1,0) (ratio)
ID: MS00702.ENTITY
Entity number
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1.000000
Numeric domain: type=natural, min=2.0000 (exclusive=false), max=2.0000 (exclusive=false)
SITECODE - char(6) (nominal)
ID: MS00702.SITECODE
Site code for the snow measurement site
Type system: Microsoft SQL Server 2019
Code definitions (64)
-
CENMET
Central Meteorological Station
-
UPLMET
Upper Lookout Meteorological Station
-
VANMET
Vanilla Leaf Meteorological Station
-
H15MET
High 15 Meteorological Station
-
RS03__
Reference Stand RS03 air/soil temperature site
-
RS04__
Reference Stand RS04 air/soil temperature site
-
RS12__
Reference Stand RS12 air/soil temperature site
-
RS13__
Reference Stand RS13 air/soil temperature site
-
RS14__
Reference Stand RS14 air/soil temperature site
-
RS26__
Reference Stand RS26 air/soil temperature site
-
RS38__
Reference Stand RS38 air/soil temperature site (formerly TS38__)
-
RS13O_
Reference Stand RS13 Open canopy air/soil temperature site
-
MACKWE
Mack West raingage
-
MIDWAY
Midway raingage
-
R320F1
Road 320 forest site 1 snow stake
-
R320F2
Road 320 forest site 2 snow stake
-
R320F3
Road 320 forest site 3 snow stake
-
R320F4
Road 320 forest site 4 snow stake
-
R320O1
Road 320 open site 1 snow stake
-
R320O2
Road 320 open site 2 snow stake
-
R320O3
Road 320 open site 3 snow stake
-
R320O4
Road 320 open site 4 snow stake
-
R350F1
Road 350 forest site 1 snow stake
-
R350F2
Road 350 forest site 2 snow stake
-
R350F3
Road 350 forest site 3 snow stake
-
R350F4
Road 350 forest site 4 snow stake
-
R350O1
Road 350 open site 1 snow stake
-
R350O2
Road 350 open site 2 snow stake
-
R350O3
Road 350 open site 3 snow stake
-
R350O4
Road 350 open site 4 snow stake
-
R360F1
Road 360 forest site 1 snow stake
-
R360F2
Road 360 forest site 2 snow stake
-
R360O1
Road 360 open site 1 snow stake
-
R360O2
Road 360 open site 2 snow stake
-
R506F1
Road 1506 forest site 1 snow stake
-
R506F2
Road 1506 forest site 2 snow stake
-
R506F3
Road 1506 forest site 3 snow stake
-
R506F4
Road 1506 forest site 4 snow stake
-
R506F5
Road 1506 forest site 5 snow stake
-
R506F6
Road 1506 forest site 6 snow stake
-
R506O1
Road 1506 open site 1 snow stake
-
R506O2
Road 1506 open site 2 snow stake
-
R506O3
Road 1506 open site 3 snow stake
-
R506O4
Road 1506 open site 4 snow stake
-
R506O5
Road 1506 open site 5 snow stake
-
R506O6
Road 1506 open site 6 snow stake
-
R507F1
Road 1507 forest site 1 snow stake
-
R507F2
Road 1507 forest site 2 snow stake
-
R507F3
Road 1507 forest site 3 snow stake
-
R507F4
Road 1507 forest site 4 snow stake
-
R507O1
Road 1507 open site 1 snow stake
-
R507O2
Road 1507 open site 2 snow stake
-
R507O3
Road 1507 open site 3 snow stake
-
R507O4
Road 1507 open site 4 snow stake
-
RDSEND
Roads End raingage
-
RS03O_
Reference Stand RS03 Open canopy snow course site
-
RS04O_
Reference Stand RS04 Open canopy snow course site
-
RS05O_
Reference Stand RS05 Open canopy snow course site
-
RS12O_
Reference Stand RS12 Open canopy snow course site
-
RS14O_
Reference Stand RS14 Open canopy snow course site
-
RS18O_
Reference Stand RS18 Open canopy snow course site
-
RS26O_
Reference Stand RS26 Open canopy snow course site
-
VARMET
Vanilla Leaf Meadow Meteorological Station
-
R350E4
Road 350 forest site 4 snow stake, alternative site
DATE_TIME - datetime (dateTime)
ID: MS00702.DATE_TIME
Date and time in Pacific Standard Time (PST) of sensor reading
Type system: Microsoft SQL Server 2019
Date format: YYYY-MM-DD hh:mm:ss
SWE_INST2 - numeric(4,0) (ratio)
ID: MS00702.SWE_INST2
Instantaneous snow water equivalent measurement (snow moisture) using a Mt. Rose snow tube sampler along a fixed snow course transect (represents an average of multiple sample cores)
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 1
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=1537.0000 (exclusive=false)
SWE_INST_FLAG - char(1) (nominal)
ID: MS00702.SWE_INST_FLAG
Instantaneous snow water equivalent qualifier flag
Type system: Microsoft SQL Server 2019
Code definitions (6)
-
A
Accepted value
-
B
Bulk sample taken due to low snow depth - 3 samples combined using weighted average
-
M
Missing value
-
N
Insufficient snow depth for core sampler measurement of snow moisture
-
S
Single snow core sample point only - usually 3 cores are taken
-
+
Full depth was not recorded by snow core - depth exceeds length of core sampler
TUBE_DEPTH2 - numeric(4,0) (ratio)
ID: MS00702.TUBE_DEPTH2
Snow depth as measured by the Mt.Rose snow tube sampler along a fixed snow course transect (represents an average of multiple sample cores)
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 1
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=3531.0000 (exclusive=false)
TUBE_DEPTH_FLAG - char(1) (nominal)
ID: MS00702.TUBE_DEPTH_FLAG
Snow tube depth qualifier flag
Type system: Microsoft SQL Server 2019
Code definitions (7)
-
A
Accepted value
-
M
Missing value
-
N
Insufficient snow depth for core sampler measurement of snow depth
-
Q
Questionable value
-
T
Trace of snow (<0.05 ft., 1-15 mm)
-
S
Single snow core sample point only - usually 3 cores are taken
-
B
Bulk core sample - one bulk sample is used rather than multiple independent samples to determine SWE
MS00709 - Snowmelt lysimeter (daily)
Object name: MS00709_v7.csv
Records: 28404
Attributes: 9
Temporal coverage: 1000-01-01 to 1000-01-01
File size: 1478006 byte
Checksum (MD5): 7f7ce299363466afb9b0549d039de06a
Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column
Constraints (2)
-
primaryKey: PRIMARY MS00709.SITECODE, MS00709.DATE
-
notNullConstraint: NOTNULL MS00709.DBCODE, MS00709.SITECODE, MS00709.ENTITY, MS00709.DATE, MS00709.SNOWMELT_TOT_FLAG, MS00709.EVENT_CODE, MS00709.QC_LEVEL, MS00709.SNOWMELT_METHOD
Attributes (9)
DBCODE - char(5) (nominal)
ID: MS00709.DBCODE
Database code MS007
Type system: Microsoft SQL Server 2019
Code definitions (1)
-
MS007
Study code MS007
ENTITY - numeric(1,0) (ratio)
ID: MS00709.ENTITY
Entity number
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1.000000
Numeric domain: type=natural, min=9.0000 (exclusive=false), max=9.0000 (exclusive=false)
SITECODE - char(6) (nominal)
ID: MS00709.SITECODE
Site code for the snow measurement site
Type system: Microsoft SQL Server 2019
Code definitions (64)
-
CENMET
Central Meteorological Station
-
UPLMET
Upper Lookout Meteorological Station
-
VANMET
Vanilla Leaf Meteorological Station
-
H15MET
High 15 Meteorological Station
-
RS03__
Reference Stand RS03 air/soil temperature site
-
RS04__
Reference Stand RS04 air/soil temperature site
-
RS12__
Reference Stand RS12 air/soil temperature site
-
RS13__
Reference Stand RS13 air/soil temperature site
-
RS14__
Reference Stand RS14 air/soil temperature site
-
RS26__
Reference Stand RS26 air/soil temperature site
-
RS38__
Reference Stand RS38 air/soil temperature site (formerly TS38__)
-
RS13O_
Reference Stand RS13 Open canopy air/soil temperature site
-
MACKWE
Mack West raingage
-
MIDWAY
Midway raingage
-
R320F1
Road 320 forest site 1 snow stake
-
R320F2
Road 320 forest site 2 snow stake
-
R320F3
Road 320 forest site 3 snow stake
-
R320F4
Road 320 forest site 4 snow stake
-
R320O1
Road 320 open site 1 snow stake
-
R320O2
Road 320 open site 2 snow stake
-
R320O3
Road 320 open site 3 snow stake
-
R320O4
Road 320 open site 4 snow stake
-
R350F1
Road 350 forest site 1 snow stake
-
R350F2
Road 350 forest site 2 snow stake
-
R350F3
Road 350 forest site 3 snow stake
-
R350F4
Road 350 forest site 4 snow stake
-
R350O1
Road 350 open site 1 snow stake
-
R350O2
Road 350 open site 2 snow stake
-
R350O3
Road 350 open site 3 snow stake
-
R350O4
Road 350 open site 4 snow stake
-
R360F1
Road 360 forest site 1 snow stake
-
R360F2
Road 360 forest site 2 snow stake
-
R360O1
Road 360 open site 1 snow stake
-
R360O2
Road 360 open site 2 snow stake
-
R506F1
Road 1506 forest site 1 snow stake
-
R506F2
Road 1506 forest site 2 snow stake
-
R506F3
Road 1506 forest site 3 snow stake
-
R506F4
Road 1506 forest site 4 snow stake
-
R506F5
Road 1506 forest site 5 snow stake
-
R506F6
Road 1506 forest site 6 snow stake
-
R506O1
Road 1506 open site 1 snow stake
-
R506O2
Road 1506 open site 2 snow stake
-
R506O3
Road 1506 open site 3 snow stake
-
R506O4
Road 1506 open site 4 snow stake
-
R506O5
Road 1506 open site 5 snow stake
-
R506O6
Road 1506 open site 6 snow stake
-
R507F1
Road 1507 forest site 1 snow stake
-
R507F2
Road 1507 forest site 2 snow stake
-
R507F3
Road 1507 forest site 3 snow stake
-
R507F4
Road 1507 forest site 4 snow stake
-
R507O1
Road 1507 open site 1 snow stake
-
R507O2
Road 1507 open site 2 snow stake
-
R507O3
Road 1507 open site 3 snow stake
-
R507O4
Road 1507 open site 4 snow stake
-
RDSEND
Roads End raingage
-
RS03O_
Reference Stand RS03 Open canopy snow course site
-
RS04O_
Reference Stand RS04 Open canopy snow course site
-
RS05O_
Reference Stand RS05 Open canopy snow course site
-
RS12O_
Reference Stand RS12 Open canopy snow course site
-
RS14O_
Reference Stand RS14 Open canopy snow course site
-
RS18O_
Reference Stand RS18 Open canopy snow course site
-
RS26O_
Reference Stand RS26 Open canopy snow course site
-
VARMET
Vanilla Leaf Meadow Meteorological Station
-
R350E4
Road 350 forest site 4 snow stake, alternative site
SNOWMELT_METHOD - char(6) (nominal)
ID: MS00709.SNOWMELT_METHOD
An indication of the the general methodology and instrumentation used to collect this snow melt data
Type system: Microsoft SQL Server 2019
Code definitions (4)
-
LYS001
Snow/rain water runoff is measured by a custom-made tipping bucket with a lysimeter pan constructed with plywood with dimensions 92"x93"x12". An A-35 chart recorder marks each tip on the chart and the number of tips are compiled every 15 minutes
-
LYS002
Snow/rain water runoff is measured by a custom-made tipping bucket with a lysimeter pan constructed with plywood with dimensions 92"x93"x12". A Campbell data logger records each tip and outputs the number of tips every 5 minutes
-
LYS101
Total daily snow/rain water runoff is post-calculated from the number of tips measured by a custom-made tipping bucket with a lysimeter pan constructed with plywood with dimensions 92"x93"x12" with an A-35 chart recorder (See Method LYS001)
-
LYS102
Total daily snow/rain water runoff is post-calculated from the number of tips measured by a custom-made tipping bucket with a lysimeter pan constructed with plywood with dimensions 92"x93"x12" with a Campbell Scientific data logger (See Method LYS002)
QC_LEVEL - char(2) (nominal)
ID: MS00709.QC_LEVEL
Quality control flag indicates level of quality checking performed including an indication of "provisional" data.
Type system: Microsoft SQL Server 2019
Code definitions (5)
-
1P
Data is provisional and subject to revision - preliminary quality checks have been performed
-
1A
Data is published and unlikely to change - automated range checking and manual review has been conducted. Quality is indicated in data value qualifier flags.
-
2A
Data is published and unlikely to change - Level 1A data has been modified such that data gaps may be filled or problem data may be removed
-
2D
Data is published and unlikely to change - data is derived or aggregated from published data of level 2A
-
1D
Data is published and unlikely to change - data is derived or aggregated from published data of level 1A
DATE - datetime (dateTime)
ID: MS00709.DATE
Date of measurement
Type system: Microsoft SQL Server 2019
Date format: YYYY-MM-DD
SNOWMELT_TOT_DAY - numeric(5,1) (ratio)
ID: MS00709.SNOWMELT_TOT_DAY
Daily total snowmelt
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 0.300000
Numeric domain: type=real, min=0.0000 (exclusive=false), max=252.8000 (exclusive=false)
SNOWMELT_TOT_FLAG - char(1) (nominal)
ID: MS00709.SNOWMELT_TOT_FLAG
Total snowmelt flag
Type system: Microsoft SQL Server 2019
Code definitions (6)
-
A
Accepted value has passed all QC tests applied as represented by the quality level
-
E
Estimated value
-
M
Missing
-
Q
Questionable
-
U
Snow lysimeter is undercatching snowmelt
-
P
Fire effects are visible in the data
EVENT_CODE - char(6) (nominal)
ID: MS00709.EVENT_CODE
Any event, disruption in protocol, or unusual conditions that occur at the given date or time and may have an effect on the data values; contact information manager for access to specific details from the field 'Notes' database
Type system: Microsoft SQL Server 2019
Code definitions (11)
-
INSREM
Sensor is installed or removed
-
LOGGER
Change in data logger, data logger program, or wiring
-
METHOD
Change in data collection method
-
NA
No event is reported (not applicable)
-
QUALTY
Event may directly affect data quality (individual activities tracked in field notes database)
-
MAINTE
A maintenance event has occurred
-
INTPRO
Internal processing may produce an anomalous reading
-
WEATHR
A weather event has occurred that may affect reading
-
CALIBR
Associated with the inspection or replacement of sensors for calibration
-
CLEARD
Site clearing of trees and brush around the meteorological station is being conducted
-
BURNED
Burning, including cleared trees and brush or wildfire, around the meteorological station or within the watershed (code begins at event initiation)
MS00710 - Snow water equivalence (SWE) and snow depth (daily midnight)
Object name: MS00710_v3.csv
Records: 25629
Attributes: 12
Temporal coverage: 1000-01-01 to 1000-01-01
File size: 1905335 byte
Checksum (MD5): 921675f4755a63cb10accaab878eb0e3
Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column
Constraints (2)
-
primaryKey: PRIMARY MS00710.DATE_TIME, MS00710.SITECODE
-
notNullConstraint: NOTNULL MS00710.DATE_TIME, MS00710.DBCODE, MS00710.SITECODE, MS00710.ENTITY, MS00710.EVENT_CODE, MS00710.QC_LEVEL, MS00710.SNOW_METHOD, MS00710.SWE_DAY_FLAG, MS00710.SNOWDEP_DAY_FLAG
Attributes (12)
DBCODE - char(5) (nominal)
ID: MS00710.DBCODE
Database code MS007
Type system: Microsoft SQL Server 2019
Code definitions (1)
-
MS007
Study code MS007
ENTITY - numeric(1,0) (ratio)
ID: MS00710.ENTITY
Entity number
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1.000000
Numeric domain: type=natural, min=10.0000 (exclusive=false), max=10.0000 (exclusive=false)
SITECODE - char(6) (nominal)
ID: MS00710.SITECODE
Site code for the snow measurement site
Type system: Microsoft SQL Server 2019
Code definitions (64)
-
CENMET
Central Meteorological Station
-
UPLMET
Upper Lookout Meteorological Station
-
VANMET
Vanilla Leaf Meteorological Station
-
H15MET
High 15 Meteorological Station
-
RS03__
Reference Stand RS03 air/soil temperature site
-
RS04__
Reference Stand RS04 air/soil temperature site
-
RS12__
Reference Stand RS12 air/soil temperature site
-
RS13__
Reference Stand RS13 air/soil temperature site
-
RS14__
Reference Stand RS14 air/soil temperature site
-
RS26__
Reference Stand RS26 air/soil temperature site
-
RS38__
Reference Stand RS38 air/soil temperature site (formerly TS38__)
-
RS13O_
Reference Stand RS13 Open canopy air/soil temperature site
-
MACKWE
Mack West raingage
-
MIDWAY
Midway raingage
-
R320F1
Road 320 forest site 1 snow stake
-
R320F2
Road 320 forest site 2 snow stake
-
R320F3
Road 320 forest site 3 snow stake
-
R320F4
Road 320 forest site 4 snow stake
-
R320O1
Road 320 open site 1 snow stake
-
R320O2
Road 320 open site 2 snow stake
-
R320O3
Road 320 open site 3 snow stake
-
R320O4
Road 320 open site 4 snow stake
-
R350F1
Road 350 forest site 1 snow stake
-
R350F2
Road 350 forest site 2 snow stake
-
R350F3
Road 350 forest site 3 snow stake
-
R350F4
Road 350 forest site 4 snow stake
-
R350O1
Road 350 open site 1 snow stake
-
R350O2
Road 350 open site 2 snow stake
-
R350O3
Road 350 open site 3 snow stake
-
R350O4
Road 350 open site 4 snow stake
-
R360F1
Road 360 forest site 1 snow stake
-
R360F2
Road 360 forest site 2 snow stake
-
R360O1
Road 360 open site 1 snow stake
-
R360O2
Road 360 open site 2 snow stake
-
R506F1
Road 1506 forest site 1 snow stake
-
R506F2
Road 1506 forest site 2 snow stake
-
R506F3
Road 1506 forest site 3 snow stake
-
R506F4
Road 1506 forest site 4 snow stake
-
R506F5
Road 1506 forest site 5 snow stake
-
R506F6
Road 1506 forest site 6 snow stake
-
R506O1
Road 1506 open site 1 snow stake
-
R506O2
Road 1506 open site 2 snow stake
-
R506O3
Road 1506 open site 3 snow stake
-
R506O4
Road 1506 open site 4 snow stake
-
R506O5
Road 1506 open site 5 snow stake
-
R506O6
Road 1506 open site 6 snow stake
-
R507F1
Road 1507 forest site 1 snow stake
-
R507F2
Road 1507 forest site 2 snow stake
-
R507F3
Road 1507 forest site 3 snow stake
-
R507F4
Road 1507 forest site 4 snow stake
-
R507O1
Road 1507 open site 1 snow stake
-
R507O2
Road 1507 open site 2 snow stake
-
R507O3
Road 1507 open site 3 snow stake
-
R507O4
Road 1507 open site 4 snow stake
-
RDSEND
Roads End raingage
-
RS03O_
Reference Stand RS03 Open canopy snow course site
-
RS04O_
Reference Stand RS04 Open canopy snow course site
-
RS05O_
Reference Stand RS05 Open canopy snow course site
-
RS12O_
Reference Stand RS12 Open canopy snow course site
-
RS14O_
Reference Stand RS14 Open canopy snow course site
-
RS18O_
Reference Stand RS18 Open canopy snow course site
-
RS26O_
Reference Stand RS26 Open canopy snow course site
-
VARMET
Vanilla Leaf Meadow Meteorological Station
-
R350E4
Road 350 forest site 4 snow stake, alternative site
SNOW_METHOD - char(6) (nominal)
ID: MS00710.SNOW_METHOD
An indication of the the general methodology and instrumentation used to collect this snow water equivalence and snow depth data
Type system: Microsoft SQL Server 2019
Code definitions (27)
-
SNO001
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow with Druck pressure transducer and instantaneous values are output at sunrise, sunset and midnight; no snow depth is recorded
-
SNO002
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow with Druck pressure transducer and instantaneous values are output hourly; no snow depth is recorded
-
SNO003
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow with Druck pressure transducer and instantaneous values are recorded every 5 minutes with median values output hourly; no snow depth is recorded
-
SNO004
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with a CS SR50 sonic ranging sensor attached to an independent pole near shelter; median 5-minute values are output hourly
-
SNO005
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with a Judd communications sensor attached to pole extension from shelter; median 5-minute values are output hourly
-
SNO006
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with a Judd communications sensor attached to pole extension from tower; median 5-minute values are output hourly
-
SNO007
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with a CS SR50 sonic ranging sensor attached to pole extension from tower; median 5-minute values are output hourly
-
SNO008
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with a Judd communications sensor attached to pole from tower over gravel pad; median 5-minute values are output hourly
-
SNO009
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with CS SR50 sonic ranging sensor attached to pole from shelter over gravel pad; median 5-minute values are output hourly
-
SNO010
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with CS SR50A sonic ranging sensor attached to pole from shelter over gravel pad; median 5-minute values are output hourly
-
SNO011
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with CS SR50A sonic ranging sensor attached to pole from tower over gravel pad; median 5-minute values are output hourly
-
SNO012
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with CS SR50A sonic ranging sensor attached from small tower over snow pillow; median 5-minute values are output hourly
-
SNO013
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with CS SR50 sonic ranging sensor attached from small tower over snow pillow; median 5-minute values are output hourly
-
SNO101
Daily snow water equivalence (SWE) is the instantaneous midnight value; Park Mechanical pressure pillow with Druck pressure transducer (See Method SNO001)
-
SNO102
Daily snow water equivalence (SWE) is the instantaneous midnight value; Park Mechanical pressure pillow with Druck pressure transducer (See Method SNO002)
-
SNO103
Daily snow water equivalence (SWE) is the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer (See Method SNO003)
-
SNO104
Daily snow water equivalence (SWE) and snow depth are the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer; CS SR50 sonic ranging sensor attached to pole (See Method SNO004)
-
SNO105
Daily snow water equivalence (SWE) and snow depth are the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer; Judd communications sensor attached to shelter (See Method SNO005)
-
SNO106
Daily snow water equivalence (SWE) and snow depth are the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer; Judd communications sensor attached to tower (See Method SNO006)
-
SNO107
Daily snow water equivalence (SWE) and snow depth are the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer; CS SR50 sonic ranging sensor attached to tower (See Method SNO007)
-
SNO108
Daily snow water equivalence (SWE) and snow depth are the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer; Judd communications sensor at tower over gravel pad (See Method SNO008)
-
SNO109
Daily snow water equivalence (SWE) and snow depth are the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer;CS SR50 sonic ranging sensor at shelter over gravel pad (See Method SNO009)
-
SNO110
Daily snow water equivalence (SWE) and snow depth are the running median of preceding 5 minute values at midnight; Park Mechanical pressure pillow with Druck pressure transducer;CS SR50A sonic ranging sensor at shelter over gravel pad(See Method SNO010)
-
SNO111
Daily snow water equivalence (SWE) and snow depth are the running median of preceding 5 minute values at midnight; Park Mechanical pressure pillow with Druck pressure transducer; CS SR50A sonic ranging sensor at tower over gravel pad (See Method SNO011)
-
SNO112
Daily snow water equivalence (SWE) and snow depth are the running median of preceding 5 minute values at midnight; Park Mechanical pressure pillow with Druck pressure transducer;CS SR50A sonic ranging sensor/sm.tower over snow pillow (See Method SNO012)
-
SNO113
Daily snow water equivalence (SWE) and snow depth are the running median of preceding 5 minute values at midnight; Park Mechanical pressure pillow with Druck pressure transducer; CS SR50 sonic ranging sensor/sm.tower over snow pillow (See Method SNO013)
-
SNO014
Snow depth only is recorded with CS SR50 sonic ranging sensor attached from small tower over snow pillow; median of 10-minute instantaneous values are output hourly
QC_LEVEL - char(2) (nominal)
ID: MS00710.QC_LEVEL
Quality control flag indicates level of quality checking performed including an indication of "provisional" data.
Type system: Microsoft SQL Server 2019
Code definitions (5)
-
1P
Data is provisional and subject to revision - preliminary quality checks have been performed
-
1A
Data is published and unlikely to change - automated range checking and manual review has been conducted. Quality is indicated in data value qualifier flags.
-
2A
Data is published and unlikely to change - Level 1A data has been modified such that data gaps may be filled or problem data may be removed
-
2D
Data is published and unlikely to change - data is derived or aggregated from published data of level 2A
-
1D
Data is published and unlikely to change - data is derived or aggregated from published data of level 1A
PROBE_CODE - char(1) (nominal)
ID: MS00710.PROBE_CODE
Probe number code indicates the measurement type, site, and sensor number (e.g., SNOPRI01)
Type system: Microsoft SQL Server 2019
DATE_TIME - datetime (dateTime)
ID: MS00710.DATE_TIME
Date and time in Pacific Standard Time (PST) of sensor reading
Type system: Microsoft SQL Server 2019
Date format: YYYY-MM-DD hh:mm:ss
SWE_DAY - numeric(4,0) (ratio)
ID: MS00710.SWE_DAY
Daily snow water equivalence (SWE) value is median value of last hour of day
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 1.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=1600.0000 (exclusive=false)
SWE_DAY_FLAG - char(1) (nominal)
ID: MS00710.SWE_DAY_FLAG
Daily snow water equivalence flag
Type system: Microsoft SQL Server 2019
Code definitions (5)
-
A
Accepted value has passed all QC tests applied as represented by the quality level
-
E
Estimated value
-
M
Missing value
-
Q
Questionable value
-
P
Fire effects are visible in the data
SNOWDEP_DAY - numeric(4,0) (interval)
ID: MS00710.SNOWDEP_DAY
Daily snow depth value is median value of last hour of day
Type system: Microsoft SQL Server 2019
Unit: milliliters
Precision: 1
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=4437.0000 (exclusive=false)
SNOWDEP_DAY_FLAG - char(1) (nominal)
ID: MS00710.SNOWDEP_DAY_FLAG
Daily snow depth flag
Type system: Microsoft SQL Server 2019
Code definitions (5)
-
A
Accepted value has passed all QC tests applied as represented by the quality level
-
E
Estimated value
-
M
Missing value
-
Q
Questionable value
-
P
Fire effects are visible in the data
EVENT_CODE - char(6) (nominal)
ID: MS00710.EVENT_CODE
Any event, disruption in protocol, or unusual conditions that occur at the given date or time and may have an effect on the data values; contact information manager for access to specific details from the field 'Notes' database
Type system: Microsoft SQL Server 2019
Code definitions (11)
-
INSREM
Sensor is installed or removed
-
LOGGER
Change in data logger, data logger program, or wiring
-
METHOD
Change in data collection method
-
NA
No event is reported (not applicable)
-
QUALTY
Event may directly affect data quality (individual activities tracked in field notes database)
-
MAINTE
A maintenance event has occurred
-
INTPRO
Internal processing may produce an anomalous reading
-
WEATHR
A weather event has occurred that may affect reading
-
CALIBR
Associated with the inspection or replacement of sensors for calibration
-
CLEARD
Site clearing of trees and brush around the meteorological station is being conducted
-
BURNED
Burning, including cleared trees and brush or wildfire, around the meteorological station or within the watershed (code begins at event initiation)
MS00719 - Snowmelt lysimeter (fine temporal resolution)
Object name: MS00719_v5.txt
Records: 3452659
Attributes: 10
Temporal coverage: 1000-01-01 to 1000-01-01
File size: 247665944 byte
Checksum (MD5): edfac01d8435a14c572edba42ee4cbd6
Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column
Constraints (2)
-
primaryKey: PRIMARY MS00719.DATE_TIME, MS00719.SITECODE
-
notNullConstraint: NOTNULL MS00719.DATE_TIME, MS00719.DBCODE, MS00719.SITECODE, MS00719.ENTITY, MS00719.SNOWMELT_TOT_FLAG, MS00719.EVENT_CODE, MS00719.QC_LEVEL, MS00719.SNOWMELT_METHOD
Attributes (10)
DBCODE - char(5) (nominal)
ID: MS00719.DBCODE
Database code MS007
Type system: Microsoft SQL Server 2019
Code definitions (1)
-
MS007
Study code MS007
ENTITY - numeric(1,0) (ratio)
ID: MS00719.ENTITY
Entity number
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1.000000
Numeric domain: type=natural, min=19.0000 (exclusive=false), max=19.0000 (exclusive=false)
SITECODE - char(6) (nominal)
ID: MS00719.SITECODE
Site code for the snow measurement site
Type system: Microsoft SQL Server 2019
Code definitions (64)
-
CENMET
Central Meteorological Station
-
UPLMET
Upper Lookout Meteorological Station
-
VANMET
Vanilla Leaf Meteorological Station
-
H15MET
High 15 Meteorological Station
-
RS03__
Reference Stand RS03 air/soil temperature site
-
RS04__
Reference Stand RS04 air/soil temperature site
-
RS12__
Reference Stand RS12 air/soil temperature site
-
RS13__
Reference Stand RS13 air/soil temperature site
-
RS14__
Reference Stand RS14 air/soil temperature site
-
RS26__
Reference Stand RS26 air/soil temperature site
-
RS38__
Reference Stand RS38 air/soil temperature site (formerly TS38__)
-
RS13O_
Reference Stand RS13 Open canopy air/soil temperature site
-
MACKWE
Mack West raingage
-
MIDWAY
Midway raingage
-
R320F1
Road 320 forest site 1 snow stake
-
R320F2
Road 320 forest site 2 snow stake
-
R320F3
Road 320 forest site 3 snow stake
-
R320F4
Road 320 forest site 4 snow stake
-
R320O1
Road 320 open site 1 snow stake
-
R320O2
Road 320 open site 2 snow stake
-
R320O3
Road 320 open site 3 snow stake
-
R320O4
Road 320 open site 4 snow stake
-
R350F1
Road 350 forest site 1 snow stake
-
R350F2
Road 350 forest site 2 snow stake
-
R350F3
Road 350 forest site 3 snow stake
-
R350F4
Road 350 forest site 4 snow stake
-
R350O1
Road 350 open site 1 snow stake
-
R350O2
Road 350 open site 2 snow stake
-
R350O3
Road 350 open site 3 snow stake
-
R350O4
Road 350 open site 4 snow stake
-
R360F1
Road 360 forest site 1 snow stake
-
R360F2
Road 360 forest site 2 snow stake
-
R360O1
Road 360 open site 1 snow stake
-
R360O2
Road 360 open site 2 snow stake
-
R506F1
Road 1506 forest site 1 snow stake
-
R506F2
Road 1506 forest site 2 snow stake
-
R506F3
Road 1506 forest site 3 snow stake
-
R506F4
Road 1506 forest site 4 snow stake
-
R506F5
Road 1506 forest site 5 snow stake
-
R506F6
Road 1506 forest site 6 snow stake
-
R506O1
Road 1506 open site 1 snow stake
-
R506O2
Road 1506 open site 2 snow stake
-
R506O3
Road 1506 open site 3 snow stake
-
R506O4
Road 1506 open site 4 snow stake
-
R506O5
Road 1506 open site 5 snow stake
-
R506O6
Road 1506 open site 6 snow stake
-
R507F1
Road 1507 forest site 1 snow stake
-
R507F2
Road 1507 forest site 2 snow stake
-
R507F3
Road 1507 forest site 3 snow stake
-
R507F4
Road 1507 forest site 4 snow stake
-
R507O1
Road 1507 open site 1 snow stake
-
R507O2
Road 1507 open site 2 snow stake
-
R507O3
Road 1507 open site 3 snow stake
-
R507O4
Road 1507 open site 4 snow stake
-
RDSEND
Roads End raingage
-
RS03O_
Reference Stand RS03 Open canopy snow course site
-
RS04O_
Reference Stand RS04 Open canopy snow course site
-
RS05O_
Reference Stand RS05 Open canopy snow course site
-
RS12O_
Reference Stand RS12 Open canopy snow course site
-
RS14O_
Reference Stand RS14 Open canopy snow course site
-
RS18O_
Reference Stand RS18 Open canopy snow course site
-
RS26O_
Reference Stand RS26 Open canopy snow course site
-
VARMET
Vanilla Leaf Meadow Meteorological Station
-
R350E4
Road 350 forest site 4 snow stake, alternative site
SNOWMELT_METHOD - char(6) (nominal)
ID: MS00719.SNOWMELT_METHOD
An indication of the the general methodology and instrumentation used to collect this snow melt data
Type system: Microsoft SQL Server 2019
Code definitions (4)
-
LYS001
Snow/rain water runoff is measured by a custom-made tipping bucket with a lysimeter pan constructed with plywood with dimensions 92"x93"x12". An A-35 chart recorder marks each tip on the chart and the number of tips are compiled every 15 minutes
-
LYS002
Snow/rain water runoff is measured by a custom-made tipping bucket with a lysimeter pan constructed with plywood with dimensions 92"x93"x12". A Campbell data logger records each tip and outputs the number of tips every 5 minutes
-
LYS101
Total daily snow/rain water runoff is post-calculated from the number of tips measured by a custom-made tipping bucket with a lysimeter pan constructed with plywood with dimensions 92"x93"x12" with an A-35 chart recorder (See Method LYS001)
-
LYS102
Total daily snow/rain water runoff is post-calculated from the number of tips measured by a custom-made tipping bucket with a lysimeter pan constructed with plywood with dimensions 92"x93"x12" with a Campbell Scientific data logger (See Method LYS002)
QC_LEVEL - char(2) (nominal)
ID: MS00719.QC_LEVEL
Quality control flag indicates level of quality checking performed including an indication of "provisional" data.
Type system: Microsoft SQL Server 2019
Code definitions (5)
-
1P
Data is provisional and subject to revision - preliminary quality checks have been performed
-
1A
Data is published and unlikely to change - automated range checking and manual review has been conducted. Quality is indicated in data value qualifier flags.
-
2A
Data is published and unlikely to change - Level 1A data has been modified such that data gaps may be filled or problem data may be removed
-
2D
Data is published and unlikely to change - data is derived or aggregated from published data of level 2A
-
1D
Data is published and unlikely to change - data is derived or aggregated from published data of level 1A
PROBE_CODE - char(1) (nominal)
ID: MS00719.PROBE_CODE
Probe number code indicates the measurement type, site, and sensor number (e.g., SNOPRI01)
Type system: Microsoft SQL Server 2019
DATE_TIME - datetime (dateTime)
ID: MS00719.DATE_TIME
Date and time in Pacific Standard Time (PST) of sensor reading
Type system: Microsoft SQL Server 2019
Date format: YYYY-MM-DD hh:mm:ss
SNOWMELT_TOT - numeric(6,2) (ratio)
ID: MS00719.SNOWMELT_TOT
Total snowmelt over the past interval (e.g., 5 minutes or 60 minutes)
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 0.250000
Numeric domain: type=real, min=0.0000 (exclusive=false), max=9.1400 (exclusive=false)
SNOWMELT_TOT_FLAG - char(1) (nominal)
ID: MS00719.SNOWMELT_TOT_FLAG
Total snowmelt flag
Type system: Microsoft SQL Server 2019
Code definitions (6)
-
A
Accepted value has passed all QC tests applied as represented by the quality level
-
E
Estimated value
-
M
Missing
-
Q
Questionable
-
U
Snow lysimeter is undercatching snowmelt
-
P
Fire effects are visible in the data
EVENT_CODE - char(6) (nominal)
ID: MS00719.EVENT_CODE
Any event, disruption in protocol, or unusual conditions that occur at the given date or time and may have an effect on the data values; contact information manager for access to specific details from the field 'Notes' database
Type system: Microsoft SQL Server 2019
Code definitions (11)
-
INSREM
Sensor is installed or removed
-
LOGGER
Change in data logger, data logger program, or wiring
-
METHOD
Change in data collection method
-
NA
No event is reported (not applicable)
-
QUALTY
Event may directly affect data quality (individual activities tracked in field notes database)
-
MAINTE
A maintenance event has occurred
-
INTPRO
Internal processing may produce an anomalous reading
-
WEATHR
A weather event has occurred that may affect reading
-
CALIBR
Associated with the inspection or replacement of sensors for calibration
-
CLEARD
Site clearing of trees and brush around the meteorological station is being conducted
-
BURNED
Burning, including cleared trees and brush or wildfire, around the meteorological station or within the watershed (code begins at event initiation)
MS00720 - Snow water equivalence (SWE) and snow depth (median depth for each hour)
Object name: MS00720_v3.csv
Records: 589281
Attributes: 12
Temporal coverage: 1000-01-01 to 1000-01-01
File size: 43849221 byte
Checksum (MD5): ebf9e3519d07a69a539721e2866873e4
Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column
Constraints (2)
-
primaryKey: PRIMARY MS00720.DATE_TIME, MS00720.SITECODE
-
notNullConstraint: NOTNULL MS00720.DATE_TIME, MS00720.DBCODE, MS00720.SITECODE, MS00720.ENTITY, MS00720.SWE_MED_FLAG, MS00720.SNOWDEP_MED_FLAG, MS00720.EVENT_CODE, MS00720.QC_LEVEL, MS00720.SNOW_METHOD
Attributes (12)
DBCODE - char(5) (nominal)
ID: MS00720.DBCODE
Database code MS007
Type system: Microsoft SQL Server 2019
Code definitions (1)
-
MS007
Study code MS007
ENTITY - numeric(1,0) (ratio)
ID: MS00720.ENTITY
Entity number
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1.000000
Numeric domain: type=natural, min=20.0000 (exclusive=false), max=20.0000 (exclusive=false)
SITECODE - char(6) (nominal)
ID: MS00720.SITECODE
Site code for the snow measurement site
Type system: Microsoft SQL Server 2019
Code definitions (64)
-
CENMET
Central Meteorological Station
-
UPLMET
Upper Lookout Meteorological Station
-
VANMET
Vanilla Leaf Meteorological Station
-
H15MET
High 15 Meteorological Station
-
RS03__
Reference Stand RS03 air/soil temperature site
-
RS04__
Reference Stand RS04 air/soil temperature site
-
RS12__
Reference Stand RS12 air/soil temperature site
-
RS13__
Reference Stand RS13 air/soil temperature site
-
RS14__
Reference Stand RS14 air/soil temperature site
-
RS26__
Reference Stand RS26 air/soil temperature site
-
RS38__
Reference Stand RS38 air/soil temperature site (formerly TS38__)
-
RS13O_
Reference Stand RS13 Open canopy air/soil temperature site
-
MACKWE
Mack West raingage
-
MIDWAY
Midway raingage
-
R320F1
Road 320 forest site 1 snow stake
-
R320F2
Road 320 forest site 2 snow stake
-
R320F3
Road 320 forest site 3 snow stake
-
R320F4
Road 320 forest site 4 snow stake
-
R320O1
Road 320 open site 1 snow stake
-
R320O2
Road 320 open site 2 snow stake
-
R320O3
Road 320 open site 3 snow stake
-
R320O4
Road 320 open site 4 snow stake
-
R350F1
Road 350 forest site 1 snow stake
-
R350F2
Road 350 forest site 2 snow stake
-
R350F3
Road 350 forest site 3 snow stake
-
R350F4
Road 350 forest site 4 snow stake
-
R350O1
Road 350 open site 1 snow stake
-
R350O2
Road 350 open site 2 snow stake
-
R350O3
Road 350 open site 3 snow stake
-
R350O4
Road 350 open site 4 snow stake
-
R360F1
Road 360 forest site 1 snow stake
-
R360F2
Road 360 forest site 2 snow stake
-
R360O1
Road 360 open site 1 snow stake
-
R360O2
Road 360 open site 2 snow stake
-
R506F1
Road 1506 forest site 1 snow stake
-
R506F2
Road 1506 forest site 2 snow stake
-
R506F3
Road 1506 forest site 3 snow stake
-
R506F4
Road 1506 forest site 4 snow stake
-
R506F5
Road 1506 forest site 5 snow stake
-
R506F6
Road 1506 forest site 6 snow stake
-
R506O1
Road 1506 open site 1 snow stake
-
R506O2
Road 1506 open site 2 snow stake
-
R506O3
Road 1506 open site 3 snow stake
-
R506O4
Road 1506 open site 4 snow stake
-
R506O5
Road 1506 open site 5 snow stake
-
R506O6
Road 1506 open site 6 snow stake
-
R507F1
Road 1507 forest site 1 snow stake
-
R507F2
Road 1507 forest site 2 snow stake
-
R507F3
Road 1507 forest site 3 snow stake
-
R507F4
Road 1507 forest site 4 snow stake
-
R507O1
Road 1507 open site 1 snow stake
-
R507O2
Road 1507 open site 2 snow stake
-
R507O3
Road 1507 open site 3 snow stake
-
R507O4
Road 1507 open site 4 snow stake
-
RDSEND
Roads End raingage
-
RS03O_
Reference Stand RS03 Open canopy snow course site
-
RS04O_
Reference Stand RS04 Open canopy snow course site
-
RS05O_
Reference Stand RS05 Open canopy snow course site
-
RS12O_
Reference Stand RS12 Open canopy snow course site
-
RS14O_
Reference Stand RS14 Open canopy snow course site
-
RS18O_
Reference Stand RS18 Open canopy snow course site
-
RS26O_
Reference Stand RS26 Open canopy snow course site
-
VARMET
Vanilla Leaf Meadow Meteorological Station
-
R350E4
Road 350 forest site 4 snow stake, alternative site
SNOW_METHOD - char(6) (nominal)
ID: MS00720.SNOW_METHOD
An indication of the the general methodology and instrumentation used to collect this snow water equivalence and snow depth data
Type system: Microsoft SQL Server 2019
Code definitions (27)
-
SNO001
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow with Druck pressure transducer and instantaneous values are output at sunrise, sunset and midnight; no snow depth is recorded
-
SNO002
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow with Druck pressure transducer and instantaneous values are output hourly; no snow depth is recorded
-
SNO003
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow with Druck pressure transducer and instantaneous values are recorded every 5 minutes with median values output hourly; no snow depth is recorded
-
SNO004
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with a CS SR50 sonic ranging sensor attached to an independent pole near shelter; median 5-minute values are output hourly
-
SNO005
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with a Judd communications sensor attached to pole extension from shelter; median 5-minute values are output hourly
-
SNO006
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with a Judd communications sensor attached to pole extension from tower; median 5-minute values are output hourly
-
SNO007
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with a CS SR50 sonic ranging sensor attached to pole extension from tower; median 5-minute values are output hourly
-
SNO008
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with a Judd communications sensor attached to pole from tower over gravel pad; median 5-minute values are output hourly
-
SNO009
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with CS SR50 sonic ranging sensor attached to pole from shelter over gravel pad; median 5-minute values are output hourly
-
SNO010
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with CS SR50A sonic ranging sensor attached to pole from shelter over gravel pad; median 5-minute values are output hourly
-
SNO011
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with CS SR50A sonic ranging sensor attached to pole from tower over gravel pad; median 5-minute values are output hourly
-
SNO012
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with CS SR50A sonic ranging sensor attached from small tower over snow pillow; median 5-minute values are output hourly
-
SNO013
Snow water equivalence (SWE) is measured by a Park Mechanical pressure pillow w/ Druck pressure transducer; snow depth is recorded with CS SR50 sonic ranging sensor attached from small tower over snow pillow; median 5-minute values are output hourly
-
SNO101
Daily snow water equivalence (SWE) is the instantaneous midnight value; Park Mechanical pressure pillow with Druck pressure transducer (See Method SNO001)
-
SNO102
Daily snow water equivalence (SWE) is the instantaneous midnight value; Park Mechanical pressure pillow with Druck pressure transducer (See Method SNO002)
-
SNO103
Daily snow water equivalence (SWE) is the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer (See Method SNO003)
-
SNO104
Daily snow water equivalence (SWE) and snow depth are the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer; CS SR50 sonic ranging sensor attached to pole (See Method SNO004)
-
SNO105
Daily snow water equivalence (SWE) and snow depth are the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer; Judd communications sensor attached to shelter (See Method SNO005)
-
SNO106
Daily snow water equivalence (SWE) and snow depth are the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer; Judd communications sensor attached to tower (See Method SNO006)
-
SNO107
Daily snow water equivalence (SWE) and snow depth are the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer; CS SR50 sonic ranging sensor attached to tower (See Method SNO007)
-
SNO108
Daily snow water equivalence (SWE) and snow depth are the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer; Judd communications sensor at tower over gravel pad (See Method SNO008)
-
SNO109
Daily snow water equivalence (SWE) and snow depth are the median of 5 minute values over the last hour of the day; Park Mechanical pressure pillow with Druck pressure transducer;CS SR50 sonic ranging sensor at shelter over gravel pad (See Method SNO009)
-
SNO110
Daily snow water equivalence (SWE) and snow depth are the running median of preceding 5 minute values at midnight; Park Mechanical pressure pillow with Druck pressure transducer;CS SR50A sonic ranging sensor at shelter over gravel pad(See Method SNO010)
-
SNO111
Daily snow water equivalence (SWE) and snow depth are the running median of preceding 5 minute values at midnight; Park Mechanical pressure pillow with Druck pressure transducer; CS SR50A sonic ranging sensor at tower over gravel pad (See Method SNO011)
-
SNO112
Daily snow water equivalence (SWE) and snow depth are the running median of preceding 5 minute values at midnight; Park Mechanical pressure pillow with Druck pressure transducer;CS SR50A sonic ranging sensor/sm.tower over snow pillow (See Method SNO012)
-
SNO113
Daily snow water equivalence (SWE) and snow depth are the running median of preceding 5 minute values at midnight; Park Mechanical pressure pillow with Druck pressure transducer; CS SR50 sonic ranging sensor/sm.tower over snow pillow (See Method SNO013)
-
SNO014
Snow depth only is recorded with CS SR50 sonic ranging sensor attached from small tower over snow pillow; median of 10-minute instantaneous values are output hourly
QC_LEVEL - char(2) (nominal)
ID: MS00720.QC_LEVEL
Quality control flag indicates level of quality checking performed including an indication of "provisional" data.
Type system: Microsoft SQL Server 2019
Code definitions (5)
-
1P
Data is provisional and subject to revision - preliminary quality checks have been performed
-
1A
Data is published and unlikely to change - automated range checking and manual review has been conducted. Quality is indicated in data value qualifier flags.
-
2A
Data is published and unlikely to change - Level 1A data has been modified such that data gaps may be filled or problem data may be removed
-
2D
Data is published and unlikely to change - data is derived or aggregated from published data of level 2A
-
1D
Data is published and unlikely to change - data is derived or aggregated from published data of level 1A
PROBE_CODE - char(1) (nominal)
ID: MS00720.PROBE_CODE
Probe number code indicates the measurement type, site, and sensor number (e.g., SNOPRI01)
Type system: Microsoft SQL Server 2019
DATE_TIME - datetime (dateTime)
ID: MS00720.DATE_TIME
Date and time in Pacific Standard Time (PST) of sensor reading
Type system: Microsoft SQL Server 2019
Date format: YYYY-MM-DD hh:mm:ss
SWE_MED - numeric(4,0) (ratio)
ID: MS00720.SWE_MED
Median value of snow water equivalence (snow moisture) over the past interval (typically hourly)
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 1.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=1600.0000 (exclusive=false)
SWE_MED_FLAG - char(1) (nominal)
ID: MS00720.SWE_MED_FLAG
Snow water equivalence median flag
Type system: Microsoft SQL Server 2019
Code definitions (6)
-
A
Accepted value has passed all QC tests applied as represented by the quality level
-
M
Missing
-
E
Estimated value
-
Q
Questionable
-
B
Bulk sample taken due to low snow depth - 3 samples combined using weighted average
-
P
Fire effects are visible in the data
SNOWDEP_MED - numeric(4,0) (ratio)
ID: MS00720.SNOWDEP_MED
Median value of snow depth over the past interval (typically hourly)
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 3.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=4437.0000 (exclusive=false)
SNOWDEP_MED_FLAG - char(1) (nominal)
ID: MS00720.SNOWDEP_MED_FLAG
Snow depth median flag
Type system: Microsoft SQL Server 2019
Code definitions (5)
-
A
Accepted value has passed all QC tests applied as represented by the quality level
-
M
Missing
-
E
Estimated value
-
Q
Questionable
-
P
Fire effects are visible in the data
EVENT_CODE - char(6) (nominal)
ID: MS00720.EVENT_CODE
Any event, disruption in protocol, or unusual conditions that occur at the given date or time and may have an effect on the data values; contact information manager for access to specific details from the field 'Notes' database
Type system: Microsoft SQL Server 2019
Code definitions (11)
-
INSREM
Sensor is installed or removed
-
LOGGER
Change in data logger, data logger program, or wiring
-
METHOD
Change in data collection method
-
NA
No event is reported (not applicable)
-
QUALTY
Event may directly affect data quality (individual activities tracked in field notes database)
-
MAINTE
A maintenance event has occurred
-
INTPRO
Internal processing may produce an anomalous reading
-
WEATHR
A weather event has occurred that may affect reading
-
CALIBR
Associated with the inspection or replacement of sensors for calibration
-
CLEARD
Site clearing of trees and brush around the meteorological station is being conducted
-
BURNED
Burning, including cleared trees and brush or wildfire, around the meteorological station or within the watershed (code begins at event initiation)
MS00730 - Snow water equivalence (SWE) and snow depth based on episodic snow course measurements near the station
Object name: MS00730_v3.csv
Records: 1432
Attributes: 15
Temporal coverage: 1000-01-01 to 1000-01-01
File size: 124489 byte
Checksum (MD5): ea7afc6be9e104603870873ab148d7f3
Format: headers=1, recordDelimiter=\r\n, fieldDelimiter=,, quoteCharacter=", orientation=column
Constraints (2)
-
primaryKey: PRIMARY MS00730.DATE_TIME, MS00730.SITECODE
-
notNullConstraint: NOTNULL MS00730.DATE_TIME, MS00730.DBCODE, MS00730.SITECODE, MS00730.ENTITY, MS00730.SWE_METHOD, MS00730.EVENT_CODE, MS00730.QC_LEVEL, MS00730.SWE_MEAN_FLAG, MS00730.SNOWDEP_MEAN_FLAG, MS00730.SNOWDEP_CHECK_FLAG
Attributes (15)
DBCODE - char(5) (nominal)
ID: MS00730.DBCODE
Database code MS007
Type system: Microsoft SQL Server 2019
Code definitions (1)
-
MS007
Study code MS007
ENTITY - numeric(1,0) (ratio)
ID: MS00730.ENTITY
Entity number
Type system: Microsoft SQL Server 2019
Unit: number
Precision: 1.000000
Numeric domain: type=natural, min=30.0000 (exclusive=false), max=30.0000 (exclusive=false)
SITECODE - char(6) (nominal)
ID: MS00730.SITECODE
Site code for the snow measurement site
Type system: Microsoft SQL Server 2019
Code definitions (64)
-
CENMET
Central Meteorological Station
-
UPLMET
Upper Lookout Meteorological Station
-
VANMET
Vanilla Leaf Meteorological Station
-
H15MET
High 15 Meteorological Station
-
RS03__
Reference Stand RS03 air/soil temperature site
-
RS04__
Reference Stand RS04 air/soil temperature site
-
RS12__
Reference Stand RS12 air/soil temperature site
-
RS13__
Reference Stand RS13 air/soil temperature site
-
RS14__
Reference Stand RS14 air/soil temperature site
-
RS26__
Reference Stand RS26 air/soil temperature site
-
RS38__
Reference Stand RS38 air/soil temperature site (formerly TS38__)
-
RS13O_
Reference Stand RS13 Open canopy air/soil temperature site
-
MACKWE
Mack West raingage
-
MIDWAY
Midway raingage
-
R320F1
Road 320 forest site 1 snow stake
-
R320F2
Road 320 forest site 2 snow stake
-
R320F3
Road 320 forest site 3 snow stake
-
R320F4
Road 320 forest site 4 snow stake
-
R320O1
Road 320 open site 1 snow stake
-
R320O2
Road 320 open site 2 snow stake
-
R320O3
Road 320 open site 3 snow stake
-
R320O4
Road 320 open site 4 snow stake
-
R350F1
Road 350 forest site 1 snow stake
-
R350F2
Road 350 forest site 2 snow stake
-
R350F3
Road 350 forest site 3 snow stake
-
R350F4
Road 350 forest site 4 snow stake
-
R350O1
Road 350 open site 1 snow stake
-
R350O2
Road 350 open site 2 snow stake
-
R350O3
Road 350 open site 3 snow stake
-
R350O4
Road 350 open site 4 snow stake
-
R360F1
Road 360 forest site 1 snow stake
-
R360F2
Road 360 forest site 2 snow stake
-
R360O1
Road 360 open site 1 snow stake
-
R360O2
Road 360 open site 2 snow stake
-
R506F1
Road 1506 forest site 1 snow stake
-
R506F2
Road 1506 forest site 2 snow stake
-
R506F3
Road 1506 forest site 3 snow stake
-
R506F4
Road 1506 forest site 4 snow stake
-
R506F5
Road 1506 forest site 5 snow stake
-
R506F6
Road 1506 forest site 6 snow stake
-
R506O1
Road 1506 open site 1 snow stake
-
R506O2
Road 1506 open site 2 snow stake
-
R506O3
Road 1506 open site 3 snow stake
-
R506O4
Road 1506 open site 4 snow stake
-
R506O5
Road 1506 open site 5 snow stake
-
R506O6
Road 1506 open site 6 snow stake
-
R507F1
Road 1507 forest site 1 snow stake
-
R507F2
Road 1507 forest site 2 snow stake
-
R507F3
Road 1507 forest site 3 snow stake
-
R507F4
Road 1507 forest site 4 snow stake
-
R507O1
Road 1507 open site 1 snow stake
-
R507O2
Road 1507 open site 2 snow stake
-
R507O3
Road 1507 open site 3 snow stake
-
R507O4
Road 1507 open site 4 snow stake
-
RDSEND
Roads End raingage
-
RS03O_
Reference Stand RS03 Open canopy snow course site
-
RS04O_
Reference Stand RS04 Open canopy snow course site
-
RS05O_
Reference Stand RS05 Open canopy snow course site
-
RS12O_
Reference Stand RS12 Open canopy snow course site
-
RS14O_
Reference Stand RS14 Open canopy snow course site
-
RS18O_
Reference Stand RS18 Open canopy snow course site
-
RS26O_
Reference Stand RS26 Open canopy snow course site
-
VARMET
Vanilla Leaf Meadow Meteorological Station
-
R350E4
Road 350 forest site 4 snow stake, alternative site
SWE_METHOD - char(6) (nominal)
ID: MS00730.SWE_METHOD
Method used to calculate snow water equivalence: standard snow course calculation procedures or estimated based on snow depth at snow stakes and snow density along snow course
Type system: Microsoft SQL Server 2019
Code definitions (3)
-
SWE001
Station snow course is used to calculate SWE; course consists of five snow cores taken along a transect at the station; snow depth is the average of sample core depths; insufficient snow or snow conditions may prevent SWE measurement
-
SWE003
Snow depth measured at four snow stakes positioned at each corner of the snow pillow is used in conjunction with snow density measured along the station snow course transect to calculate SWE; depth is average at snow stakes
-
SWE002
Snow pillow course is used to calculate SWE; course consists of four snow cores taken near each corner of the snow pillow; snow depth is the average of sample core depths; insufficient snow or snow conditions may prevent SWE measurement
QC_LEVEL - char(2) (nominal)
ID: MS00730.QC_LEVEL
Quality control flag indicates level of quality checking performed including an indication of "provisional" data.
Type system: Microsoft SQL Server 2019
Code definitions (5)
-
1P
Data is provisional and subject to revision - preliminary quality checks have been performed
-
1A
Data is published and unlikely to change - automated range checking and manual review has been conducted. Quality is indicated in data value qualifier flags.
-
2A
Data is published and unlikely to change - Level 1A data has been modified such that data gaps may be filled or problem data may be removed
-
2D
Data is published and unlikely to change - data is derived or aggregated from published data of level 2A
-
1D
Data is published and unlikely to change - data is derived or aggregated from published data of level 1A
PROBE_CODE - char(1) (nominal)
ID: MS00730.PROBE_CODE
Probe number code indicates the measurement type, site, and sensor number (e.g., SNOPRI01)
Type system: Microsoft SQL Server 2019
DATE_TIME - datetime (dateTime)
ID: MS00730.DATE_TIME
Date and time in Pacific Standard Time (PST) of sensor reading
Type system: Microsoft SQL Server 2019
Date format: YYYY-MM-DD hh:mm:ss
SWE_MEAN - numeric(4,0) (ratio)
ID: MS00730.SWE_MEAN
Mean snow water equivalence determined from the station snow course - snow cores are taken along a transect or at four corners of the snow pillow
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 13.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=1875.0000 (exclusive=false)
SWE_MEAN_FLAG - char(1) (nominal)
ID: MS00730.SWE_MEAN_FLAG
Mean snow water equivalence flag
Type system: Microsoft SQL Server 2019
Code definitions (6)
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A
Accepted value has passed all QC tests applied as represented by the quality level
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B
Bulk sample taken due to low snow depth - 3 samples combined using weighted average
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E
Estimated value
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M
Missing vlaue
-
Q
Questionable value
-
P
Fire effects are visible in the data
SNOWDEP_MEAN - numeric(4,0) (ratio)
ID: MS00730.SNOWDEP_MEAN
Mean snow depth determined from the station snow course - snow depth is measured from snow cores along a transect, and either snow cores or snow stakes measure depth near each corner of a snow pillow
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 13.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=4229.0000 (exclusive=false)
SNOWDEP_MEAN_FLAG - char(1) (nominal)
ID: MS00730.SNOWDEP_MEAN_FLAG
Mean snow depth flag
Type system: Microsoft SQL Server 2019
Code definitions (5)
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A
Accepted value has passed all QC tests applied as represented by the quality level
-
E
Estimated value
-
M
Missing value
-
Q
Questionable value
-
P
Fire effects are visible in the data
SNOWDEP_CHECK - numeric(4,0) (ratio)
ID: MS00730.SNOWDEP_CHECK
Snow depth is measured under the snow depth sensor as a check reading (begins WY 1999) - only listed in conjunction with probes: CENMET02, UPLMET02, VANMET02
Type system: Microsoft SQL Server 2019
Unit: millimeters
Precision: 25.000000
Numeric domain: type=whole, min=0.0000 (exclusive=false), max=4115.0000 (exclusive=false)
SNOWDEP_CHECK_FLAG - char(1) (nominal)
ID: MS00730.SNOWDEP_CHECK_FLAG
Check snow depth reading flag
Type system: Microsoft SQL Server 2019
Code definitions (3)
-
M
Missing value
-
A
Accepted value has passed all QC tests applied as represented by the quality level
-
P
Fire effects are visible in the data
EVENT_CODE - char(6) (nominal)
ID: MS00730.EVENT_CODE
Any event, disruption in protocol, or unusual conditions that occur at the given date or time and may have an effect on the data values; contact information manager for access to specific details from the field 'Notes' database
Type system: Microsoft SQL Server 2019
Code definitions (11)
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INSREM
Sensor is installed or removed
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LOGGER
Change in data logger, data logger program, or wiring
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METHOD
Change in data collection method
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NA
No event is reported (not applicable)
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QUALTY
Event may directly affect data quality (individual activities tracked in field notes database)
-
MAINTE
A maintenance event has occurred
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INTPRO
Internal processing may produce an anomalous reading
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WEATHR
A weather event has occurred that may affect reading
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CALIBR
Associated with the inspection or replacement of sensors for calibration
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CLEARD
Site clearing of trees and brush around the meteorological station is being conducted
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BURNED
Burning, including cleared trees and brush or wildfire, around the meteorological station or within the watershed (code begins at event initiation)
COMMENT - char(60) (nominal)
ID: MS00730.COMMENT
Comment regarding data measurement
Type system: Microsoft SQL Server 2019
Units
| percent | % | dimensionless | number | dimensionless | 100 | percent; a number |
| year (yyyy) | YYYY | datetime | YYYY | YYYY-MM-DDThh:mm:ss | N/A | year (4 character) portion of date |
| milliliters | ml | volume | milliliter | meterCubed | 0.000001 | milliliters; 1/1000 of a liter |
| number | number | dimensionless | number | dimensionless | 1 | dimensionless number, i.e., ratio, count |
| millimeters | mm | length | millimeter | meter | 0.001 | millimeters; .001 meters |
Intellectual Rights
Data Use Agreement:
The re-use of scientific data has the potential to greatly increase communication, collaboration and synthesis within and among disciplines, and thus is fostered, supported and encouraged. This Data Set is released under the Creative Commons license CC BY "Attribution" (see: https://creativecommons.org/licenses/by/4.0/). Creative Commons license CC BY - Attribution is a license that allows others to distribute, remix, tweak, and build upon your work (even commercially), as long as you are credited for the original creation. This license accommodates maximum dissemination and use of licensed materials.
It is considered professional conduct and an ethical obligation to acknowledge the work of other scientists. The Data User is asked to provide attribution of the original work if this data package is shared in whole or by individual parts or used in the derivation of other products. A recommended citation is provided for each Data Set in the Andrews LTER data catalog (see: http://andlter.forestry.oregonstate.edu/data/catalog/datacatalog.aspx). A generic citation is also provided for this Data Set on the website https://portal.edirepository.org in the summary metadata page. Data Users are thus strongly encouraged to consider consultation, collaboration and/or co-authorship with the Data Set Creator.
While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed and all data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data.
General acknowledgement: Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University.
Licensed
License: Creative Commons Attribution 4.0 International Public License
Identifier: CC-BY-4.0
Maintenance
Maintenance update frequency: annually
Description
- An update history is logged and maintained with each new version of every dataset.
Change History
-
Version1 (1000-01-01) Original metadata creation
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Version2 (1000-01-01) The historic Reference Stand snow course data set was developed with the 10 individual snow core measurements (only 5 were taken after 1988) averaged for each site.
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Version3 (1000-01-01) The snow course data was prepared and processed through the FSDB quality assurance system.
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Version4 (1000-01-01) The metadata is updated and prepared for placement in the FSDB online metadata system.
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Version6 (1000-01-01) This is a major update and restructuring. Former Enities 1 & 2 are combined into a single Entity 1 (both snow depth and snow water equivalent are merged). Data for Entity 1 road course is updated for WY2004- WY2007. Data for Entity 2 (now Reference Stand snow course) is updated from WY1995-WY2003 from old check sheets and is now complete as this snow course is no longer collected. Metadata abstract and methods are revised, and attribute and entity defintions are improved. - DH
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Version7 (1000-01-01) Wateryear 2008 snow stake data is updated (MS00701) through June 2008.
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Version8 (1000-01-01) Snow stake data (entity 1) is updated through 29 Dec 2010. Corrections were made to "position" from last update, 2006-2008. Duplicate record errors were found and corrected from 12 Jan 1999, 23 Dec 1997, and more recent ones - errors were due to incorrect entry of sitecode.
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Version11 (1000-01-01) Snow stake data is updated through 9 April 2014 (end of snow season for WY 2014).
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Version13 (1000-01-01) Entity 1 is updated. Attribute names are revised for consistency with MS001 and other climate data. Snow depth data for WY 2015 and WY 2016 are added, primarily based on images from new snow cameras.
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Version14 (1000-01-01) Entity 2 attributes are renamed to accommodate changes made to similar attributes in Entity 1. Aslo corrects check sum and corrects intellectual rights
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Version15 (1000-01-01) Major push to enter snow stake camera image data. Years updated include 2017- 2022. Data structure to include snow_year and notes. Data has never been uploaded to PASTA because there was not adequate metadata.
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Version16 (1000-01-01) Entities 9, 19, 10, 20, 30 were migrated from MS001 to MS007. This is a version of the data as it was in MS001, except with new dbcode assigned. New CSV files created. Minor edits to the metadata to accommodate the MS001 data.