Filters: Tags: snow and ice cover (X)
52 results (13ms)|
Filters
Date Range
Extensions Types
Contacts
Categories Tag Types
|
The "MasterDB-csv-final2" dataset includes 548 laboratory measurements of sediment total mercury (STHg, nanograms per gram of soil, dry), bulk density (BD, grams per cm3 of soil, dry), percent of soil organic matter (%OM, loss on ignition, LOI), percent of soil organic carbon (%SOC, calculated using the Redfield's number), RHgC (Hg to carbon ratio), and age (YBP) from 13 permafrost cores collected from 2004 to 2012 in the interoir and northern slope of Alaska by trained personnel from the U.S. Geological Survey National Research Program and the National Snow and Ice Data Center in Boulder, Colorado.
This part of the Data Release contains the raster representation of the water-level altitude and water-level change maps developed every 5 years from 1980-2015 for the upper Rio Grande Focus Area Study. The input point data used to generate the water-level altitude maps can be found in the "Groundwater level measurement data used to develop water-level altitude maps in the upper Rio Grande Alluvial Basins" child item of this data release. These digital data accompany Houston, N.A., Thomas, J.V., Foster, L.K., Pedraza, D.E., and Welborn, T.L., 2020, Hydrogeologic framework, groundwater-level altitudes, groundwater-level changes, and groundwater-storage changes in selected alluvial basins of the upper Rio Grande...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Abiquiu Reservoir,
Ahumada,
Alamosa,
Alamosa County,
Alamosa Creek,
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...
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...
We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to...
This repository contains CSV files summarizing tabular data associated with analyses of proglacial geomorphic change presented in Anderson and Shean (2021). The included zip file contains three CSVs summarizing volumetric change, Landsat NDVI values, and longitudinal profiles along valley floors presented in that publication. Each CSV has an associated metadata file contained in the zip file providing details of individual datasets.
Note: this data release has been superseded by version 5.0, available here: https://doi.org/10.5066/F7HT2NNP Ice breakup dates of Chequamegon Bay, Lake Superior from 1911 to 2021 were compiled by Lori Evrard (USGS, GLSC, Lake Superior Biological Station, Ashland, WI). Ice breakup date is the day in spring when winter ice cover substantially leaves a water body. Local residents deem "ice breakup" as when the ice moves northeast of a line straight across Chequamegon Bay out from Ellis Avenue (State highway 13). Another way ice breakup was determined has been if you could drive a boat from the outlet of Fish Creek to Houghton Point. The ice may move back and forth over that line but the ice is breaking up, moving...
Categories: Data,
Data Release - Revised;
Tags: Ashland,
Chequamegon Bay,
Climatology,
Great Lakes,
Lake Superior,
We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to...
We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Contiguous United States. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 General Circulation Models (GCMs) from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. This dataset supports the USGS National Climate Change Viewer. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to...
The 1966 polygons included in this data release represent the main body portion of the 37 named glaciers of Glacier National Park (GNP) and 2 named glaciers on the U.S. Forest Service’s Flathead National Forest land. This is a subset of the original mapping effort derived from 1:24000 scale mapping of named glaciers and permanent snowfields within Glacier National Park, Montana which were digitized by Richard Menicke (Glacier National Park) and Carl Key (U.S. Geological Survey) in 1993. These data are based on USGS 7.5 minute quadrangle mapping published from 1966 through 1968 which were the result of the earliest park-wide aerial surveys of snow and ice features in GNP. Examination of the aerial photographs shows...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 1966,
CCME-glacier,
Flathead County,
GLAC,
Glacier County,
USGS and NPS biologists used distance sampling to estimate abundance of hoary marmots (Marmota caligata) in North Cascades National Park, Washington, USA during 2007-2008 and 2016-2017. Biologists resurveyed hoary marmots in 2016 and 2017 at 78 point-count stations across 19 sites surveyed by NPS in 2007-2008. Data include marmot detection distances and survey conditions used to estimate abundances at each site in each year. Data also include estimated marmot abundances and covariates used to evaluate effects of weather, snowpack, and vegetative phenology and productivity on marmot abundances. Marmots are classified as adult, subadult, or juvenile for observations in which age was evident.
Categories: Data;
Tags: Ecology,
North Cascades National Park,
USGS Science Data Catalog (SDC),
Washington,
Wildlife Biology,
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,
The mid-Piacenzian is known as a period of relative warmth when compared to the present day. A comprehensive understanding of conditions during the Piacenzian serves as both a conceptual model and a source for boundary conditions as well as means of verification of global climate model experiments. These data are provided as digital representations of mid Pliocene boundary conditions stored in NetCDF format for use with climate models.
Attributes of remote camera stations on Moscow Mountain in Latah County, ID including georeferencing information and camera deployment information. Remote cameras were used to collect 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.
These polygon features represent the maximum extent of the 37 named glaciers in Glacier National Park and two glaciers on U.S. Forest Service’s Flathead National Forest land during the peak of the Little Ice Age (mid-nineteenth century). Glacial margins are based on moraine deposits that result from active glaciation, and do not depict perennial snow and ice. Moraines were digitized based on WorldView imagery acquired on the following dates: 20141019, 20150822, 20150912, 20150925, 20160821, 20160915 (World View 01 and World View 03 satellites). High resolution imagery was supplemented with oblique aerial photographs flown in 2009 and 2016, historic photographs from the USGS photograph collection, and field notes...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: CCME-glacier,
Flathead National Forest,
Glacier National Park,
Montana,
aerial imagery,
We apply a monthly water-balance model (MWBM) to simulate components of the water balance for the period 1950-2099 under RCP4.5 and RCP8.5 for the Greater Yellowstone Climate Assessment. We use the statistically downscaled MACAv2-METDATA temperature and precipitation data from 20 GCMs from the Climate Model Intercomparison Program Phase 5 (CMIP5) as input to the water balance model. The statistically downscaled dataset is: MACAv2-METDATA: Multivariate Adaptive Constructed Analogs (Abatzoglou & Brown, 2012, bias corrected by METDATA, Abatzoglou, 2013) Users interested in the downscaled temperature and precipitation files are referred to the dataset home page: MACAv2-METDATA: http://maca.northwestknowledge.net The...
These polygon features represent digitization of the glacier margins for the 37 named glaciers of Glacier National Park (GNP) and two glaciers on U.S. Forest Service’s Flathead National Forest land, derived from 2015 satellite imagery. The polygons represent only the main body portion of each glacier as it appeared in 2015 satellite imagery. Disconnected patches are not included as this dataset represents only the main body features of the named glaciers in GNP and environs. Polygons were digitized from WorldView imagery acquired on the following source dates: 20150822, 20150912, 20150915, 20150925 (World View 01 satellite). Initial digitization was completed by Melissa Brett, PSU graduate student. This set of polygons...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 2015,
CCME-glacier,
Flathead National Forest,
Glacier National Park,
Montana,
These data can be used to replicate the application of MWBMglacier as described in two journal articles: 1) Enhancement of a parsimonious water balance model to simulate surface hydrology in a glacierized watershed (in review), and 2) Hydrologic regime changes in a high-latitude glacierized watershed under future climate conditions (doi:10.3390/w10020128). These simulations provide results from historical and 12 future general circulation model scenarios for the period 1949-2099 to determine the potential effects of climate change on the hydrology and water quality of a snow-dominated mountainous environment. In addition to the inputs and outputs, this Data Release includes summaries of the input and output data...
Categories: Data;
Tags: Climatology,
Glaciers and Permafrost,
Million Dollar Bridge,
Northwest CASC,
Rivers, Streams and Lakes,
Bacterial Data include results of incubations of lakewater bacteria with dissolved organic matter extracted from Colorado glacier or rock glacier outflows in 2015. Cells were counted pre- and post- incubations. The “Counts” tab is the number of cells counted in each view of the microscope using the acridine orange method. “C Calculations” tab is the calculation of carbon as bacterial biomass from cell counts. ”Change in cell counts” is the difference in the number of bacterial cells from the pre-incubation microbial culture and in each assay bottle after the biological oxygen demand incubation. The third tab, “Carbon use efficiency” is calculated as the amount of DOM from oxygen demand assays converted to microbial...
Climate change information simulated by global climate models is downscaled using statistical methods to translate spatially course regional projections to finer resolutions needed by researchers and managers to assess local climate impacts. Several statistical downscaling methods have been developed over the past fifteen years, resulting in multiple datasets derived by different methods. We apply a simple monthly water-balance model (MWBM) to demonstrate how the differences among these datasets result in disparate projections of snow loss and future changes in runoff. We apply the MWBM to six statistically downscaled datasets for 14 general circulation models (GCMs) from the Climate Model Intercomparison Program...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: BCCA,
BCSD,
Climatology,
Contiguous United States,
LOCA,
|
|
