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This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Resource | |
Storage: | The size of this resource is 29.8 GB | |
Created: | Jul 22, 2021 at 8:57 p.m. | |
Last updated: | Jul 04, 2022 at 2:21 p.m. (Metadata update) | |
Published date: | Jul 04, 2022 at 2:21 p.m. | |
DOI: | 10.4211/hs.2dbd6e849a754c0981b99ee7c09031eb | |
Citation: | See how to cite this resource | |
Content types: | Multidimensional Content Geographic Raster Content |
Sharing Status: | Published |
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Views: | 1473 |
Downloads: | 420 |
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Abstract
This resource contains snow metrics for the present-day 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 present-day 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 using this climate data 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
Temporal
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Content
README.txt
Readme file for: SnowClim: Present Snow Data (https://www.hydroshare.org/resource/2dbd6e849a754c0981b99ee7c09031eb/) This .txt file was generated on 4 Nov 2021 by A.C. Lute. Summary: ------------------------------------------------------------------------ This directory contains snow metrics for the present-day 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 present-day 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 using this climate data 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 et al., (in prep). File Organization: ------------------------------------------------------------------------ Snow metrics are available in separate files. For accessibility, metrics are available in both GeoTiff and netCDF format. The suffix '_CTRL' indicates that the data represents conditions under the control scenario (aka present-day climate). Metrics with values for each year use snow years, which we define as September 1 - August 31. For example, snow year 2001 is the year starting on September 1, 2000 and ending on August 31, 2001. Metrics with values for each month have values for January through December. Metrics: ------------------------------------------------------------------------ - annual maximum SWE units: meters (m) Annual maximum snow water equivalent (m), averaged across years. - date of annual maximum SWE units: Julian day of year Julian day of annual maximum snow water equivalent (m), averaged across years. - largest snowfall event units: meters (m) Liquid water equivalent thickness of the largest three consecutive day snowfall total each year (m). - date of largest snowfall event units: Julian day of year Julian day of the largest three consecutive day snowfall total each year. - snow cover days units: days Monthly number of days with snow depth greater than 10 mm, averaged across years. - snow duration units: days Number of days between the start and end of snow cover, averaged across years. The start of snow cover is defined as the first day of the first period of 5 consecutive days with snow depth greater than 10 mm, and day of snow cover end is defined as the last day of the last period of 5 consecutive days with snow depth greater than 10 mm. - snow free days units: days Annual number of days with snow depth less than 10 mm between the start and end of snow cover, averaged across years. The start of snow cover is defined as the first day of the first period of 5 consecutive days with snow depth greater than 10 mm, and day of snow cover end is defined as the last day of the last period of 5 consecutive days with snow depth greater than 10 mm. - date of snow cover start units: Julian day of year Julian day of beginning of snow cover, averaged across years. The day of beginning of snow cover is defined as the first day of the first period of 5 consecutive days with snow depth greater than 10 mm. - date of snow cover end units: Julian day of year Julian day of end of snow cover, averaged across years. The day of the end of snow cover is defined as the last day of the last period of 5 consecutive days with snow depth greater than 10 mm. - min snow depth: units: meters (m) Monthly minimum snow depth (m), averaged across years. - mean snow depth units: meters (m) Monthly mean snow depth (m), averaged across years. - max snow depth units: meters (m) Monthly maximum snow depth (m), averaged across years. - min SWE units: meters (m) Monthly minimum snow water equivalent (m), averaged across years. - mean SWE units: meters (m) Monthly mean snow water equivalent (m), averaged across years. - max SWE units: meters (m) Monthly maximum snow water equivalent (m), averaged across years. - snowfall units: meters (m) Monthly total snowfall water equivalent (m), averaged across years. Sharing and access information: ------------------------------------------------------------------------ 1. Licenses/restrictions placed on the data: This resource is shared under the Creative Commons Attribution CC BY. 2. Links to publications that cite or use the data: none yet 3. Links to other publicly accessible locations of the data: none 4. Links/relationships to ancillary data sets: SnowClim Model and Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/) SnowClim Model Code (https://www.hydroshare.org/resource/dc3a40e067bf416d82d87c664d2edcc7/) SnowClim Pre-industrial Climate Data (https://www.hydroshare.org/resource/0c852b12f668438fb9f0188a1cc6e8a9/) SnowClim Pre-industrial Snow Data (https://www.hydroshare.org/resource/fc621d75985c4695b6758ade312241c6/) SnowClim Present Climate Data (https://www.hydroshare.org/resource/7e3678f00ad74bfd881f91d6f6f81494/) SnowClim Future Climate Data (https://www.hydroshare.org/resource/36895c3a2c53409893f5ba02ee142767/) SnowClim Future Snow Data (https://www.hydroshare.org/resource/96cba44cd74843639f855d7c9e22024b/) 5. Was data derived from another source? yes. Climate forcing data was downscaled from the dataset of Rasmussen and Liu, 2017. 6. To cite this data, please reference both of the following: Lute, A., J. Abatzoglou, T. Link (2021). SnowClim Model and Dataset, HydroShare, http://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0 Lute, A.C., John Abatzoglou, and Timothy Link (in prep), SnowClim: high-resolution snow model and data for the Western United States. In preparation for submission to Geoscientific Model Development. Authors: ------------------------------------------------------------------------ A.C. Lute, University of Idaho John Abatzoglou, University of California, Merced Timothy Link, University of Idaho Contact Information: ------------------------------------------------------------------------ Please contact A.C. Lute with questions, concerns, or comments. Current contact information is available on the webpage this file was downloaded from. References: ------------------------------------------------------------------------ Lute, A.C., John Abatzoglou, and Timothy Link (in prep), SnowClim: high-resolution snow model and data for the Western United States. In preparation for submission to Geoscientific Model Development. 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.
Data Services
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. |
Title | Owners | Sharing Status | My Permission |
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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 |
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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
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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