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Parameters of Global Surface Soil Moisture Drydown using SMAP
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Created: Sep 25, 2019 at 12:12 a.m.
Last updated: Feb 03, 2024 at 4:56 p.m. (Metadata update)
Published date: Dec 22, 2020 at 9:23 p.m.
DOI: 10.4211/hs.e24fdc11692a44368018a790b4d86b27
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Content types: Geographic Raster Content 
Sharing Status: Published
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Abstract

We provide the pathways and parameters of surface soil moisture (SM) drydown using global observations from NASA's Soil Moisture Active Passive (SMAP) at 36 KM spatial resolution. Globally dominant canonical shapes of SM drydowns are identified using a non-parametric approach. A pixel-wise fitting of the selected canonical forms using a non-linear least-squares approach provide the pathways and parameters of SM drydown. The data generated from this study can be used for diverse applications including (and not limited to) identification of dominant soil hydrologic regimes, understanding land-surface coupling strength, and estimating effective soil water retention parameters at remote-sensing footprint scale etc.
Details can be found in our paper: Sehgal, V., Gaur, N., & Mohanty, B. P. (2020). Global Surface Soil Moisture Drydown Patterns. Water Resources Research, 56, e2020WR027588. https://doi.org/10.1029/2020WR027588

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
83.6320°
East Longitude
179.8133°
South Latitude
-83.6320°
West Longitude
-179.8133°

Temporal

Start Date:
End Date:

Content

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-e24fdc11692a44368018a790b4d86b27/wms?request=GetCapabilities

Web Coverage Service

https://geoserver.hydroshare.org/geoserver/HS-e24fdc11692a44368018a790b4d86b27/wcs?request=GetCapabilities

Related Resources

The content of this resource is derived from Sehgal, V., Gaur, N., & Mohanty, B. P. (2020). Global Surface Soil Moisture Drydown Patterns. Water Resources Research, 56, e2020WR027588. https://doi.org/10.1029/2020WR027588

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
NASA Root Zone Soil Hydraulic Property Estimation by SMAP NNX16AQ58G

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Vinit Sehgal Texas A&M University Texas, US ORCID
BINAYAK MOHANTY Texas A&M University 2117 TAMU, 301E Scoates Hall, Texas A&M University ORCID
NANDITA GAUR Crop and Soil Sciences Department, University of Georgia Miller Plant Sciences Bldg, Room 3105, Athens, Georgia ORCID

How to Cite

Sehgal, V. (2020). Parameters of Global Surface Soil Moisture Drydown using SMAP, HydroShare, https://doi.org/10.4211/hs.e24fdc11692a44368018a790b4d86b27

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

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

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