SnowClim: Pre-industrial Snow Data

Authors:
A.C. LuteJohn AbatzoglouTimothy Link
Owners: A. C. Lute
  • Contributions
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Type: Resource
Storage: The size of this resource is 32.2 GB
Created: Oct 25, 2021 at 10:38 p.m.
Last updated: Jul 04, 2022 at 2:19 p.m. (Metadata update)
Published date: Jul 04, 2022 at 2:19 p.m.
DOI: 10.4211/hs.fc621d75985c4695b6758ade312241c6
Citation: See how to cite this resource
Content types: Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content  Geographic Raster Content 
Sharing Status: Published
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Abstract

This resource contains snow metrics for the pre-industrial period and represents a subset of the SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/) The SnowClim Dataset was developed following the methods presented in Lute et al., (in prep). The pre-industrial snow data was created by first downscaling 4 km climate forcings from the Weather Research and Forecasting (WRF) model (Rasmussen and Liu, 2017) over a thirteen year period (1 Oct 2000 to 30 Sep 2013) and then perturbing the downscaled data using multi-model mean deltas from CMIP5 to create climate forcing data that reflects conditions during 1850-1879. This climate data was then used to force the SnowClim snow model. Snow model outputs were summarized into snow metrics at ~210 m spatial resolution for the western US.

Additional details about forcing data preparation, model physics, model calibration, and application to the western US domain can be found in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Contiguous Western United States
North Latitude
50.0007°
East Longitude
-101.9979°
South Latitude
28.9987°
West Longitude
-125.0007°

Temporal

Start Date: 10/01/2000
End Date: 09/30/2013
Leaflet Map data © OpenStreetMap contributors

Content

    No files to display.

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Web Map Service

https://geoserver.hydroshare.org/geoserver/HS-fc621d75985c4695b6758ade312241c6/wms?request=GetCapabilities

Web Coverage Service

https://geoserver.hydroshare.org/geoserver/HS-fc621d75985c4695b6758ade312241c6/wcs?request=GetCapabilities

THREDDS Data Service

https://thredds.hydroshare.org/thredds/catalog/hydroshare/resources/fc621d75985c4695b6758ade312241c6/data/contents/catalog.html

THREDDS Documentation    OPeNDAP Documentation

Related Resources

The content of this resource is derived from Rasmussen, R., and C. Liu. 2017. High Resolution WRF Simulations of the Current and Future Climate of North America. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6V40SXP. Accessed 24 Sep 2018.
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
SnowClim Model and Dataset A. Lute  Published Open Access

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) Hydroinformatics Innovation Fellowship NSF Cooperative Agreement No. EAR-1849458
National Science Foundation Integrative Graduate Education and Research Traineeship (IGERT) Program 1249400

How to Cite

Lute, A., J. Abatzoglou, T. Link (2022). SnowClim: Pre-industrial Snow Data, HydroShare, https://doi.org/10.4211/hs.fc621d75985c4695b6758ade312241c6

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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