106.ARCSS138_Global_Snow-Water-Equivalent_Depth_Coefficient-of-Variation_Classification_ISO.xml
eng; USA
utf8
dataset
Glen E. Liston
Colorado State University
Senior Research Scientist
(970) 491-8220
Cooperative Institute for Research in the Atmosphere
Colorado State University
1375 Campus Delivery
Fort Collins
CO
80523-1375
USA
liston@cira.colostate.edu
pointOfContact
Larry Mahrt
Oregon State University
(541)737-5691
College of Oceanic & Atmospheric Sciences, 104 Ocean Admin Bldg.
Corvallis
OR
97331-5503
mahrt@oce.orst.edu
principalInvestigator
Glen E. Liston
Colorado State University
Senior Research Scientist
(970) 491-8220
Cooperative Institute for Research in the Atmosphere
Colorado State University
1375 Campus Delivery
Fort Collins
CO
80523-1375
USA
liston@cira.colostate.edu
author
Matthew Sturm
US Army
(970) 353-5183
Cold Regions Research and Engineering Laboratory
PO Box 35170
Ft Wainwright
AK
99703-0170
msturm@crrel.usace.army.mil
principalInvestigator
Glen E. Liston
Colorado State University
Senior Research Scientist
(970) 491-8220
Cooperative Institute for Research in the Atmosphere
Colorado State University
1375 Campus Delivery
Fort Collins
CO
80523-1375
USA
liston@cira.colostate.edu
principalInvestigator
Charles H. Racine
252-482-0244
219 East King Street
Edenton
North Carolina
27932
USA
charles_racine@yahoo.com
principalInvestigator
Glen E. Liston
Colorado State University
Senior Research Scientist
(970) 491-8220
Cooperative Institute for Research in the Atmosphere
Colorado State University
1375 Campus Delivery
Fort Collins
CO
80523-1375
USA
liston@cira.colostate.edu
originator
2024-03-29
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
https://data.eol.ucar.edu/dataset/106.ARCSS138
Global Snow-Water-Equivalent Depth Coefficient-of-Variation Classification
2009-04-10T13:03:25Z
publication
1.0
2009-04-10T13:03:25Z
Global Snow-Water-Equivalent Depth Coefficient-of-Variation Classification
2009-04-10T13:03:25Z
creation
UCAR/NCAR - Earth Observing Laboratory
EOL Data Support
PO Box 3000
Boulder
CO
80307-3000
datahelp@eol.ucar.edu
https://data.eol.ucar.edu/
homepage
resourceProvider
106.ARCSS138
doi:10.5065/D6GF0RMX
UCAR/NCAR - Earth Observing Laboratory
EOL Data Support
PO Box 3000
Boulder
CO
80307-3000
datahelp@eol.ucar.edu
https://data.eol.ucar.edu/
homepage
custodian
Glen E. Liston
Colorado State University
Senior Research Scientist
(970) 491-8220
Cooperative Institute for Research in the Atmosphere
Colorado State University
1375 Campus Delivery
Fort Collins
CO
80523-1375
USA
liston@cira.colostate.edu
author
This data set provides a global distribution of nine subgrid snow-depth-variability categories and a coefficient of variation applicable to each category, as the result of the Subgrid SNOW Distribution (SSNOWD) submodel that defines subgrid snow-depth and snow-cover variability. This data set provides the distribution of those nine categories and their coefficient-of-variation values on a global, 2.5 arc-min latitude-longitude (approximately 5-km) grid. The time period covered is 1 January 1994 through 1 January 2004. The SSNOWD submodel was formulated to improve the depiction of autumn through spring land-atmosphere interactions and feedbacks within global weather, climate, and hydrologic models. From both atmospheric and hydrologic perspectives, the subgrid snow-depth distribution is an important quantity to account for within large-scale models. In the natural system, these subgrid snow-depth distributions are largely responsible for the mosaic of snow-covered and snow-free areas that develop as the snow melts, and the impacts of these fractional areas must be quantified in order to realistically simulate grid-averaged surface fluxes. SSNOWD's formulation incorporates observational studies showing that snow distributions can be described by a lognormal distribution and the snow-depth coefficient-of-variation (CV). Using an understanding of the physical processes that lead to these observed snow-depth variations, a global distribution of nine subgrid snow-depth-variability categories was developed, and coefficient-of-variation values were assigned to each category based on published measurements. Data are in binary format.
Glen E. Liston
Colorado State University
Senior Research Scientist
(970) 491-8220
Cooperative Institute for Research in the Atmosphere
Colorado State University
1375 Campus Delivery
Fort Collins
CO
80523-1375
USA
liston@cira.colostate.edu
pointOfContact
Models
platform
Arctic
Snow and Land Ice
Hydrology
Models/Analyses
grid
eng
climatologyMeteorologyAtmosphere
-180.00000
180.00000
-90.00000
90.00000
1994-01-01T00:00:00Z
2004-01-01T23:59:59Z
https://data.eol.ucar.edu/dataset/106.ARCSS138
https
Global Snow-Water-Equivalent Depth Coefficient-of-Variation Classification homepage
Dataset homepage
https://data.eol.ucar.edu/project/ARCSS
https
NSF Arctic System Science
Project homepage