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Filters: partyWithName: Water Resources (X) > partyWithName: Graham A Sexstone (X)

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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.
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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...
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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...
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This data release documents the data used for the associated publication "Evaluating hydrologic region assignment techniques for ungaged watersheds in Alaska, USA" (Barnhart and others, 2022) The data sets within this release are stored in 14 files: (1) Streamflow observations and sites used. (2) Statistically estimated streamflow values computed for each site. (3) Streamflow statistics computed from observed and estimated streamflow values at each site, basin characteristics for each site, and hydrologic regions (clusters) for each site. (4) A dataset describing the optimal number of hydrologic regions into which the considered sites were grouped. (5) P-values from a multiple comparisons analysis testing for statistical...
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This data release consists of three child items distinguishing the following types of data: light detection and ranging (lidar) point clouds (LPCs), digital elevation models (DEMs), and snow depth raster maps. These three data types are all derived from lidar data collected on small, uncrewed aircraft systems (sUAS) at study areas in the Upper Colorado River Basin, Colorado, from 2020 to 2022. These data were collected and generated as part of the U.S. Geological Survey's (USGS) Next Generation Water Observing Systems (NGWOS) Upper Colorado River Basin project.
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This data release contains input data for hydrologic simulations of the Alaska Domain application of the U.S. Geological Survey (USGS) Precipitation Runoff Modelling System (PRMS) as implemented in the National Hydrologic Model (NHM) infrastructure (Regan and others, 2018). The NHM Alaska Domain parameter database consists of 114 parameter files in ASCII format (CSV), two files needed to run the Alaska Domain PRMS (control.fy19deliverable and fy19_deliv.param), two xml files (dimensions.xml and parameters.xml) containing descriptive information about the parameters, and a table that defines each parameter (AK_paramDB_datadictionary.csv). The Entity and Attribute element of this metadata record describe the data...
Abstract This data release contains historical SnowModel (Liston and Elder, 2006) output for the Lake Sherburne, MT watershed and surrounding area. The two quantities simulated for this release were snow water equivalent depth (swed), the liquid water equivalent depth stored as snow in the simulation domain, and runoff (roff), which includes snowmelt at the snow-soil interface and rainfall on pixels without snow cover. The simulation used to produce these outputs was conducted on a 30 m geospatial grid and was forced using meteorology from the National Land Data Assimilation System (NLDAS-2, Mitchell and others, 2004; Xia and others, 2012). This simulation used daily snow water equivalent time series from two National...
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This data release includes SnowModel output for three headwater study areas in Colorado at seven spatial resolutions and from two forcing datasets over a 40-year period from water year 1980 to 2019. The resolutions include 30 m, 50 m, 100 m, 150 m, 250 m, 500 m, and 1,000 m. The model was run with a 3-hour temporal resolution from September 1, 1980 to August 31, 2019. Two meteorology forcing datasets were used, including National Land Data Assimilation System-2 at 1/8th degree (about 12 km) resolution data and the Weather Research and Forecasting model data at 4 km resolution. Output variables include snow-water equivalent depth (swed), runoff (roff), air temperature (tair), snow-covered area (sca), snow depth (snod),...
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This data release contains a geospatial dataset for the U.S. Geological Survey Precipitation Runoff Modeling System (PRMS) used to drive the National Hydrologic Model (NHM). The Alaska Geospatial Fabric v1 is the spatial representation of the hydrologic response units (HRUs) used for the PRMS NHM Alaska domain. These HRUs were generated using the twelve-digit Hydrologic Unit Code (HUC12) watershed from the U.S. Geological Survey's Watershed Boundary Dataset (USGS, 2019), the Natural Resources Canada National Hydrographic Network (NHN) Work Units (NHN, 2019), similar to USGS eight-digit HUC watersheds, and stream gage locations from the U.S. Geological Survey (USGS, 2019) and Natural Resources Canada (NHN, 2019)....
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Discrete snow depth data were collected during multiple winter campaigns during 2020–22. 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 of snow dynamics and water resources. Snow depth was measured using either an avalanche probe and handheld global positioning system (GPS) unit or a snow depth probe with attached Juniper Systems Geode GPS receiver and a Mesa tablet. These data are released in a comma separated value file.
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Discrete snowpack data were collected during winter field campaigns from 2020 to 2022. 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. After a snow pit was dug, the pit face was analyzed for discrete snowpack measurements. Measurements taken were mass, temperature, and total depth. Using the mass values taken with a density cutter, the snow density and snow water equivalent were calculated. These data are released in a comma separated value file.
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This data release supports the study by Sexstone and others (2020) and contains simulation output from SnowModel (Liston and Elder, 2006), a well-validated process-based snow modeling system. Simulations are for water years 1984 through 2017 (October 1, 1983 through September 30, 2017) across a 11,200 square kilometer model domain in the San Juan Mountains of southwestern Colorado, United States that encompasses the Rio Grande Basin headwaters (HUC8 13010001). This data release also contains supporting field-based snow and meteorological station observations collected within the model domain during water years 2016 and 2017 that were used to evaluate SnowModel simulations. Sexstone and others (2020) provide details...
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Discrete snow data were collected during multiple winter field campaigns from 2021 to 2022. This data was collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) project focusing on the relation between snow dynamics and the water cycle of a basin. A Snow Water Equivalent (SWE) Coring Tube was used to measure snow depth and mass of snow within the core. These values were used to calculate snow density and snow water equivalent of the core. These data were released in a comma separated value file.


map background search result map search result map SnowModel simulations and supporting observations for the north-central Colorado Rocky Mountains during water years 2011 through 2015 Data release in support of runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model SnowModel simulations and supporting observations for the Rio Grande Headwaters, southwestern Colorado, United States, 1984 - 2017 National Hydrologic Model Alaska Domain parameter database, version 1 Geospatial Fabric for the National Hydrologic Model Alaska Domain, version 1 Basin Characteristics and Streamflow Statistics for Selected Gages, Alaska, USA (ver. 2.0, September, 2022) NGWOS Ground Based Discrete Snowpack Measurements Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth Raster Maps Derived from Lidar Data Collected on Small, Uncrewed Aircraft Systems in the Upper Colorado River Basin, Colorado, 2020-22 Discrete Snowpack Measurements of Snow Density and Snow Water Equivalent in the Upper Colorado River Basin, 2020-22 Discrete Snow Core Measurements of Snow Depth, Density, and Snow Water Equivalent in the Upper Colorado River Basin, 2020-22 Discrete Snow Depth Measurements in the Upper Colorado River Basin, 2020-22 Simulated snowpack and meteorology at multiple resolutions for three headwater study areas in Colorado, USA, water years 1980-2019 SnowModel simulations and supporting observations for the north-central Colorado Rocky Mountains during water years 2011 through 2015 Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth Raster Maps Derived from Lidar Data Collected on Small, Uncrewed Aircraft Systems in the Upper Colorado River Basin, Colorado, 2020-22 SnowModel simulations and supporting observations for the Rio Grande Headwaters, southwestern Colorado, United States, 1984 - 2017 NGWOS Ground Based Discrete Snowpack Measurements Discrete Snowpack Measurements of Snow Density and Snow Water Equivalent in the Upper Colorado River Basin, 2020-22 Discrete Snow Core Measurements of Snow Depth, Density, and Snow Water Equivalent in the Upper Colorado River Basin, 2020-22 Discrete Snow Depth Measurements in the Upper Colorado River Basin, 2020-22 Simulated snowpack and meteorology at multiple resolutions for three headwater study areas in Colorado, USA, water years 1980-2019 National Hydrologic Model Alaska Domain parameter database, version 1 Geospatial Fabric for the National Hydrologic Model Alaska Domain, version 1 Basin Characteristics and Streamflow Statistics for Selected Gages, Alaska, USA (ver. 2.0, September, 2022) Data release in support of runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model