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Remote camera data on snow presence, snow depth, and wildlife detections on Moscow Mountain in Latah County, ID, USA. Reconyx Hyperfire I and Hyperfire II cameras were used and set to take hourly timelapse images and motion-triggered images. The cameras were deployed from October 2020 - May 2021. Snow presence was assessed up to 15 m from the camera. Snow depth was measured using virtual snow stakes created with the edger R package created by the author. Wildlife were marked as present in all photos in which they appear, and new individuals were counted. Snow density was collected using a federal or prairie snow sampler. Snow hardness was collected using a ram penetrometer. Solar radiation was calculated using hemispherical...
Categories: Data,
Publication;
Types: Citation;
Tags: Idaho,
Latah,
Moscow Mountain,
Odocoileus hemionus,
Odocoileus virginianus,
We collected snow density measurements at camera sites from December 2020 - April 2021, at the same time as snow hardness measurements. We took measurements every few weeks as logistics allowed. We took samples near the camera site in snow visually similar to the snow in the camera viewshed (the geographical area that is visible from a location) to prevent snow conditions from being disturbed beyond normal camera deployment. We took snow density samples using a homemade prairie sampler in snow depths < 100 cm and using a federal snow sampler in snow depths > 100 cm. The sampler was inserted into the snow to remove a snow core. We retained the core if the depth of snow in the sampler was at least 90% of the actual...
Categories: Data,
Publication;
Types: Citation;
Tags: Idaho,
Latah,
Moscow Mountain,
Odocoileus virginianus,
biota,
This set of 4 rasters shows precipitation as snow (mm) for Western North America under the B1 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published here, were converted...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: 2020s,
2050s,
2080s,
B1,
ClimateWNA,
Ground-based discrete snowpack measurements were collected during winter field campaigns starting in 2020. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation between snow dynamics and water resources. This data release consists of three child items. Each child item contains snow depth, snow density, snow temperature, or snow water equivalent values measured discretely in the field. The data are provided in comma separated value (CSV) files.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado,
Colorado River,
Hydrology,
Integrated Water Science,
Rocky Mountains,
The Database was built to enable data integration across sources, as well as to support program planning and observational network design. The Imiq Data Portal provides a snapshot of available hydroclimate data – a map-based view of where , what , and when data have been obtained. Users can submit a custom data query, specifying variable of interest, geographic bounds, and time step. Imiq will aggregate and export data records from multiple sources in a common format, with full metadata records that provide information about the source data.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ABLATION,
ABLATION,
ACTIVE LAYER,
ACTIVE LAYER,
ALBEDO,
Final Report - Executive Summary: This final project report is prepared to summarize the research project titled “Assessing evapotranspiration rate changes for proposed restoration of the forested uplands of the Desert Landscape Conservation Cooperatives (LCC)” for the Desert LCC of the Bureau of Reclamation as a requirement for closing out the project. This report includes the scope of work, summary of research project, results, and conclusions.Among all of the components of the terrestrial water cycle, evapotranspiration (ET) consumes the largest amount of water. Accurate estimation of ET is very important to understand the influence of ET to the hydrologic response of recharge and runoff processes in the water...
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
ATMOSPHERE,
ATMOSPHERE,
ATMOSPHERIC WATER VAPOR,
ATMOSPHERIC WATER VAPOR,
This dataset includes Snow Free Date(sfdy) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Free Date is defined as day of the end of the core snow period(day of year). The core snow season is defined to be the longest period of continuous snow cover in each year. The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.“Day-of-year” (doy) output is expressed in Ordinal dates (“1” on 1 January, and “365” on 31 December). Dates have not been corrected for leap years. This output is appropriate for display purposes, as it is readily interpreted as calendar day of year. It is not recommended as input for analysis, as it may produce incorrect...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AIR TEMPERATURE,
AIR TEMPERATURE,
ALBEDO,
ALBEDO,
Academics & scientific researchers,
This dataset includes Snow Depth(snod) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Depth is defined as depth on 1 March(m). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The dataset is delivered in the ZIP archive file format. Each year is output in a separate GeoTiff file, where the year is indicated by the filename.Over the last 20 years, under a variety of NOAA, NSF, and NASA research programs, a snow-evolution modeling system has been developed that includes the MicroMet micrometeorological model, the SnowModel snow-process model, and the SnowAssim data assimilation model. These modeling tools can be thought of as...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AIR TEMPERATURE,
AIR TEMPERATURE,
ALBEDO,
ALBEDO,
Academics & scientific researchers,
This data release includes simulation output from SnowModel (Liston and Elder, 2006), a well-validated process-based snow modeling system, and supporting snow, meteorological, and streamflow observations from the water years 2011 through 2015 (October 1, 2010, through September 30, 2015) across a 3,600 square kilometer model domain in the north-central Colorado Rocky Mountains. For each water year, SnowModel simulations were completed for a (1) baseline simulation, (2) bark-beetle disturbance condition simulation, (3) 2016 - 2035 future climate condition simulation (S1), and (4) 2046 - 2065 future climate condition simulation (S2). Sexstone and others (2018) provide details and summarize findings from each of the...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bark beetles,
Climate warming,
Climatology,
Colorado Rocky Mountains,
Eddy covariance,
This file includes satellite sensor-derived data on evapotranspiration, vegetation response (normalized difference vegetation index), and snow and weather-station data used to derive weekly growing degree units and total precipitation used in analyses described in the paper, "Challenges in complementing data from ground-based sensors with satellite-derived products to measure ecological changes in relation to climate – lessons from temperate wetland-upland landscapes."
Access database with terrestrial invertebrate abundance and biomass data in addition to weather data. Arctic Shorebird Demographic Network Camp locations: Nome, Cape Krusenstern, Barrow, Ikpikpuk, Colville, Prudhoe Bay, Canning River, Mackenzie Delta, and East Bay. Latitude and Longitude for each camp are provided in a table in the database.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/INVERTEBRATES,
ANIMALS/INVERTEBRATES,
ANIMALS/INVERTEBRATES,
ANIMALS/INVERTEBRATES,
ARTHROPODS,
The Imiq Hydroclimate Database houses hydrologic, climatologic, and soils data collected in Alaska and Western Canada from the early 1900s to the present. This database unifies and preserves numerous data collections that have, until now, been stored in field notebooks, on desktop computers, as well as in disparate databases. Synthesizing and analyzing the large-scale hydroclimate characteristics of this important climatic region have been made easier with this searchable database. The data, originally collected in a Microsoft SQL Server 2008 relational database, has been migrated to an open source PostgreSQL and PostGIS environment. The Imiq Data Portal provides public access to portions of the Imiq Hydroclimate...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ABLATION,
ABLATION,
ACTIVE LAYER,
ACTIVE LAYER,
ALBEDO,
This data release contains historical SnowModel (Liston and Elder, 2006) output for the Crown of the Continent and surrounding areas in Montana and Idaho, USA; and Alberta and British Columbia, Canada from September 1, 1981 through August 31, 2020. Fifteen daily variables were simulated or derived for this release: (1) snow water equivalent (swed), (2) liquid precipitation (rpre), (3) solid precipitation (spre), (4) albedo (albd), (5) glacial ice melt (glmt), (6) total precipitation (prec), (7) runoff (roff), (8) snow covered area (sca), (9) snow density (sden), (10) snowmelt (smlt), (11) snow depth (snod), (12) snow sublimation (ssub), (13) air temperature (tair), (14) wind speed (wspd), and (15) wind direction...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alberta,
British Columbia,
Crown of the Continent,
Glacier National Park,
Idaho,
The files on this page contain the data used for the research described in in the paper, "Challenges in complementing data from ground-based sensors with satellite-derived products to measure ecological changes in relation to climate – lessons from temperate wetland-upland landscapes" (Gallant, A.L., Sadinski, W., Brown, J.F., Senay, G.B., Roth, M.F. 2018. Sensors). Supplementary Datafile 1 contains data on evapotranspiration, vegetation response (Normalized Difference Vegetation Index), snow-off timing, growing degree units, and precipitation. Supplementary Datafile 2 contains the corner coordinates of the study blocks to which the environmental data apply. The field "BlockSite" is common to both files and can...
This data release supports the study by Sexstone and others (2019) and contains simulation output from a hydrological modeling experiment using a specific calibration of the conterminous United States (CONUS) application of the Precipitation-Runoff Modeling System (PRMS) (Hay, 2019) as implemented in the National Hydrologic Model (NHM) infrastructure (Regan and others, 2018). The by hydrologic response unit (byHRU) calibrated, baseline version of the NHM-PRMS (Hay, 2019) was used to evaluate the sensitivity of simulated runoff to the representation of snow depletion curves (SDCs) within the NHM-PRMS across the CONUS. The model experiment consisted of seven NHM-PRMS model simulations using the calibrated NHM-PRMS...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC),
United States,
hydrologic processes,
hydrology,
snow,
This dataset includes Snow Up Date(sudt) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Up Date is defined as day of the start of the core snow period(day of simulation). The core snow season is defined to be the longest period of continuous snow cover in each year. The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The simulation period runs from 1 September – 31 August. “Day-of-simulation” takes the value of “1” on 1 September, “123” on 1 January, and “365” on 31 August. “Day-of-simulation” files should be used for analysis (trend, mean, etc.).The dataset is delivered in the ZIP archive file format. Each year is output in a...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AIR TEMPERATURE,
AIR TEMPERATURE,
ALBEDO,
ALBEDO,
Academics & scientific researchers,
Accurate estimation of evapotranspiration (ET) is essential for assessments of water balance and hydrologic responses to forest restoration treatments in uplands adjacent to the Desert LCC. As part of the Four Forests Restoration Initiative, a new paired watershed study is being planned to assess the hydrologic effects of mechanically thinning and restoring a more frequent fire regime to the ponderosa pine forests of Arizona. Water and energy balances will be measured and modeled in these paired watersheds to help inform and better plan for the hydrologic responses of future forest restoration actions. Researchers at Northern Arizona University have collected six years of eddy covariance measurements of ET in the...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
ATMOSPHERE,
ATMOSPHERE,
ATMOSPHERIC WATER VAPOR,
ATMOSPHERIC WATER VAPOR,
To determine minimum coverage of perennial snow and ice cover for Glacier National Park, the minimum extent of glaciers and multi-year snow features were digitized from satellite imagery (10-meter NAPP 2003, NAIP 2005, and NAIP 2013, and 30-cm resolution, multispectral, pansharpened Digital Globe WorldView satellite imagery collected in late summer and fall 2015). Features were digitized in ArcGIS version 10.2 using a Wacom Intuos 4 digitizing tablet. Snow and ice features were classified as glacier, large ice mass, or perennial snow/ice. Glaciers were based on current, named glaciers. Remnant ice features not large enough to be classified as glaciers, but showing evidence of crevasses, were classified as large...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Glacier National Park,
Montana,
biota,
cryosphere,
geospatial,
The comma-delimited fields in this dataset provide values for the remotely sensed variables analyzed for landscape blocks described in the paper, "Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions," by Sadinski et al. (submitted). The field labeled “BlockSite” links the records in this file with a set of boundaries in a shapefile called “Study_Block_Boundaries.shp” The records represent weekly measurements of normalized difference vegetation index (BlockNDVI) values and total evapotranspiration (BlockETmm), as well as the annual snow-off date (BlockDOYsnowfree) for the study blocks from...
Starting in 2003, the U.S. Geological Survey (USGS) Northern Rocky Mountain Science Center in West Glacier, MT, in collaboration with the National Park Service, collected avalanche observations along the Going to the Sun Road during the spring road-clearing operations. The spring road-clearing along Going to the Sun Road utilized a team of avalanche specialists from the USGS and Glacier National Park to communicate the potential avalanche hazard to crews working to clear the road of snow in preparation for summer visitation. The operations typically begin around April 1st and continue through mid-June each year. The dataset includes all of the specific details collected for each avalanche occurrence and conforms...
Categories: Data,
Data Release - Revised;
Tags: CCME-avalanche,
Glacier National Park,
Going-to-the-Sun Road,
Montana,
North West Montana,
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