In downloading this resource contents you are ethically bound to respect the terms of this license.
Please confirm that you accept the terms of this license below before you can do any downloads for this resource.
Resource License Agreement
This resource is shared under the Creative Commons Attribution CC BY.
In downloading this resource contents you are ethically bound to respect the terms of this license.
Please confirm that you accept the terms of this license below before you can do any downloads for this resource.
Copy resource bag to your iRODS user zone
Are you sure you want to copy this resource bag to your iRODS user zone?
Please wait for the process to complete.
Redirecting to the referenced web URL
The content you have requested to access is not stored in HydroShare, and we can’t guarantee its availability,
quality, security, or size. If the externally linked content is large, access may take time.
Get file URL
You have requested the URL for a file that is within a Discoverable resource.
This resource has Private Link Sharing enabled.
This means that anyone with the link will be able to access the file,
but users without the link will not be permitted unless they have "view" permission on this resource.
You have requested the URL for a file that is within a Discoverable resource.
Only you and other HydroShare users who have been granted at least "view" permission will be able to access this URL.
If you want this URL to be publicly available,
change the sharing status of your resource to "public" or enable Private Link Sharing.
You have requested the URL for a file that is within a Private resource.
This resource has Private Link Sharing enabled.
This means that anyone with the link will be able to access the file,
but users without the link will not be permitted unless they have "view" permission on this resource.
You have requested the URL for a file that is within a Private resource.
Only you and other HydroShare users who have been granted at least "view" permission will be able to access this URL.
If you want this URL to be publicly available, change the sharing status of your resource to "public" or enable Private Link Sharing.
Choose coordinates
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
The following files/folders contain non-preferred characters in their name.
This may result in problems and you are encouraged to change the name to follow the
HydroShare preferred character set.
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.
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
Confirm files deletion
This file will be permanently deleted. Consider saving a copy if it is
important to you. If this is the last file in the resource and it is public,
the sharing status will revert to private. If you are not the owner of
this resource, then an owner will need to reset this to public after a new
file has been added. If you want to replace this file, add the new file
first then delete the old one, so that sharing status does not change.
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
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.
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.
Comments
There are currently no comments
New Comment