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Characteristics of Global Surface Soil Moisture Preferential Hydrologic States

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Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type:	Resource
Storage:	The size of this resource is 63.2 MB
Created:	Jan 19, 2023 at 2:38 a.m.
Last updated:	Jun 17, 2024 at 12:24 a.m.
Citation:	See how to cite this resource
Content types:	Multidimensional Content

Sharing Status:	Public
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Abstract

This resource contains seasonal estimates of global characteristics of surface soil moisture preferential hydrologic states using SMAP observations from March 2015- September 2022. Three tipping characteristics are defined to estimate the intensity (Mean Tipping Depth, epsilon_bar), frequency (Tipping Count, eta), and duration (Mean Tipped Time, tau_bar) of the excursion of SMAP soil moisture from wet− to dry−average conditions.
For details, please refer to our affiliated paper here: Sehgal and Mohanty, Preferential Hydrologic States and Tipping Characteristics of Global Surface Soil Moisture (2023, WRR); https://doi.org/10.1029/2023WR034858

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

North Latitude

86.8775°

East Longitude

-178.3765°

South Latitude

-86.8345°

West Longitude

178.3215°

Content

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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.

THREDDS Data Service

https://thredds.hydroshare.org/thredds/catalog/hydroshare/resources/09da0247bed0447ba5476dacdfbaf658/data/contents/catalog.html

THREDDS Documentation OPeNDAP Documentation

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; SMAP Science using Data Fusion: Forecasting Flash Drought to Flash Flood	NNX16AQ58G; 80NSSC20K1807

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
Binayak Mohanty	Texas A&M University;Biological and Agricultural Engineering;Texas Water Observatory	Texas, US

How to Cite

Sehgal, V., B. Mohanty (2024). Characteristics of Global Surface Soil Moisture Preferential Hydrologic States, HydroShare, http://www.hydroshare.org/resource/09da0247bed0447ba5476dacdfbaf658

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

http://creativecommons.org/licenses/by/4.0/

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