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Parameters of Global Surface Soil Moisture Drydown using SMAP
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Resource type: Composite Resource
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Created: Sep 25, 2019 at 12:12 a.m.
Last updated: Oct 14, 2020 at 10:33 p.m.
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Content types: Geographic Raster Content 
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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.
The paper can be found here: Sehgal, V., Gaur, N., & Mohanty, B. P. (2020). Global Surface Soil Moisture Drydown Patterns. Earth and Space Science Open Archive, 28. https://doi.org/10.1002/essoar.10502723.1

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Resource Level 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°

Content

References

Sources

Derived From: Sehgal, V., Gaur, N., & Mohanty, B. P. (2020). Global Surface Soil Moisture Drydown Patterns. Earth and Space Science Open Archive, 28. https://doi.org/10.1002/essoar.10502723.1

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 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
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, http://www.hydroshare.org/resource/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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