SnowClim: Future Snow Data


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Resource type: Composite Resource
Storage: The size of this resource is 23.7 GB
Created: Jul 22, 2021 at 10:06 p.m.
Last updated: Jul 04, 2022 at 2:23 p.m.
DOI: 10.4211/hs.96cba44cd74843639f855d7c9e22024b
Citation: See how to cite this resource
Content types: Multidimensional Content  Geographic Raster Content 
Sharing Status: Published
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Abstract

This resource contains snow metrics for a future climate scenario 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 future 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 representing conditions under RCP 8.5 during 2071-2100 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

Resource Level 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:
End Date:

Content

README.txt

Readme file for: SnowClim: Future Snow Data
(https://www.hydroshare.org/resource/96cba44cd74843639f855d7c9e22024b/)


This .txt file was generated on 4 Nov 2021 by A.C. Lute.


Summary:
------------------------------------------------------------------------
This directory contains snow metrics for a future climate scenario 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 future 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 representing conditions under RCP 8.5 during 2071-2100 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 '_PGW'
indicates that the data represents conditions under the future,
pseudo-global warming scenario. 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 Present Snow Data
(https://www.hydroshare.org/resource/2dbd6e849a754c0981b99ee7c09031eb/)
SnowClim Future Climate Data
(https://www.hydroshare.org/resource/36895c3a2c53409893f5ba02ee142767/)

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

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.

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. C., J. Abatzoglou, T. Link (2022). SnowClim: Future Snow Data, HydroShare, https://doi.org/10.4211/hs.96cba44cd74843639f855d7c9e22024b

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

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

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