Filters: partyWithName: Graham A Sexstone (X)
Folders: ROOT > ScienceBase Catalog > USGS Data Release Products ( Show direct descendants )
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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.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado,
Colorado River,
Hydrology,
Integrated Water Science,
Rocky Mountains,
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 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 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...
Categories: Data,
Data Release - Revised;
Tags: Alaska,
USGS Science Data Catalog (SDC),
hydrologic region,
inlandWaters,
random forest,
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.
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Canada,
Geography,
Glaciology,
Hydrology,
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...
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),...
These data include snow depth and snow water equivalence (SWE) for the 2022 and 2023 water years during 16 separate field campaigns. The field area is comprised of 311 surveyed points in, on the perimeter of, and surrounding six forest openings next to Coal Creek off Coal Bank Pass in the San Juan Mountains in Southwest Colorado, USA. These measurements were taken to look at the relationship between snow accumulation and snow melt patterns between forest gaps of various sizes, and forest edges of various sizes (edge of forest gaps). Canopy metrics, including canopy height, total gap area, mean distance to canopy, canopy closure, leaf area index, non-directional edginess, canopy edginess with a southern aspect, and...
These digital elevation models (DEMs) were generated from light detection and ranging (lidar) point clouds (LPCs) derived from lidar data collected during multiple field campaigns at three study areas near Winter Park, Colorado. Small, uncrewed aircraft systems (sUAS) were used to collect lidar datasets to represent snow-covered and snow-free periods.
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)....
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Canada,
Geography,
Hydrology,
Remote Sensing,
These light detection and ranging (lidar) point clouds (LPCs) were generated from lidar data collected during multiple field campaigns in three study areas near Winter Park, Colorado. Small, uncrewed aircraft systems (sUAS) collected lidar datasets to represent snow-covered and snow-free periods. More information regarding the sUAS used and data collection methods can be found in the Supplemental Information and process step sections of each study area metadata file.
These snow depth raster maps were generated from digital elevation models (DEMs) derived from light detection and ranging (lidar) data collected during multiple field campaigns in the three study areas near Winter Park, Colorado. Small, uncrewed aircraft systems (sUAS) collected lidar datasets to represent snow-covered and snow-free periods. More information regarding the sUAS used and data collection methods can be found in the Supplemental Information and process step sections of each study area individual metadata file.
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Colorado,
Rio Grande headwaters,
USGS Science Data Catalog (SDC),
Upper Rio Grande,
climatology,
Canopy density and canopy structure metrics were derived for the San Juan Mountains of southwest Colorado from aerial point cloud data at a 1-meter (m) resolution. The aerial lidar data originated from the ‘CO_Southwest_NRCS_2018’ project prepared by Quantum Spatial for the U.S. Geological Survey (USGS) from a series of flyovers between 2018 and 2019 and were made available in 2021. Canopy density metrics include Canopy Closure (CC) and Leaf Area Index (LAI). Canopy Structure metrics include total gap area, mean distance to canopy, canopy edginess to the south and canopy edginess to the north. These data were used to partition 100 m grid cells over the same area for a snow melt model called SNOWMODEL. Each grid...
This data release contains SnowModel snow evolution simulation output on a 100-meter (m) geospatial grid for a 311 kilometer (km) × 300 km model domain in Colorado, United States, encompassing the Colorado and Gunnison River Basin headwaters in the Upper Colorado River Basin. Weather Research and Forecasting (WRF) Model convection-permitting and orography-resolving (4-km grid spacing) regional climate simulations provided the atmospheric forcing conditions to drive SnowModel in both a current and future climate scenario. A pair of continuous 13-water-year (2001-13) WRF model simulations was utilized: (1) a current climate control (CTL) simulation forced using ERA-Interim reanalysis, and (2) a future climate simulation...
This data release contains SnowModel snow evolution simulation output from water years 2022 to 2023 (October 1, 2021, through September 30, 2023) on a 100-meter (m) geospatial grid for a 3 kilometer (km) × 2 km model domain near Coal Creek off Coal Bank Pass in the San Juan Mountains in southwest Colorado, USA. The three quantities simulated for this release were snow water equivalent for the standard model configuration (swe_standard), snow water equivalent for an open canopy model configuration (swe_open), and incoming shortwave radiation for the open canopy model configuration (qsin_open). The simulation used to produce these outputs was forced using meteorology from the National Land Data Assimilation System...
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