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Spatial-temporal statistics of daily soil moisture data from the NLDAS model (1979-2013)


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Type: Resource
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Created: Jan 24, 2017 at 2:53 p.m.
Last updated: Jan 29, 2017 at 8:23 p.m.
DOI: 10.4211/hs.c9fb977bae21432b8b202f13b62285b1
Citation: See how to cite this resource
Content types: Multidimensional Content 
Sharing Status: Published
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Abstract

The data set contains the daily statistics for the SOILM0-100cm variable (0-100 cm top 1 meter soil moisture content) of the North American Land Data Assimilation System Version 2 (NLDAS-2) model. The period of analysis is from 1979-01-02 to 2013-12-31. The statistics for each calendar month are the mean, standard deviation, minimum, maximum, and percentiles in 0.05 interval. The data set also includes a p-value per calendar day of the Kolmogorov-Smirnov (KS) test. The p-value of the KS test shows if the computed empirical cumulative distribution function (CDF) comes from a fitted normal distribution

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
49.5000°
East Longitude
-67.0000°
South Latitude
25.1250°
West Longitude
-124.7500°

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.

Related Resources

The content of this resource references Espinoza-Dávalos, G. E., Arctur, D. K., Teng, W., Maidment, D. R., García-Martí, I., & Comair, G. (2016). Studying soil moisture at a national level through statistical analysis of NASA NLDAS data. Journal of Hydroinformatics, 18(2), 277–287. http://doi.org/10.2166/hydro.2015.231
The content of this resource references Espinoza-Dávalos, G. E. (2016). Large-scale statistical analysis of NLDAS variables and hydrologic web applications. The University of Texas at Austin. Retrieved from http://hdl.handle.net/2152/39608
The content of this resource is derived from NLDAS-2

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
NASA ROSES NNH11ZDA001N-ACCESS: Bridging the Digital Divide
Texas Advanced Computing Center (TACC)

How to Cite

Espinoza-Dávalos, G., D. Maidment, D. Arctur, W. Teng, G. Comair (2017). Spatial-temporal statistics of daily soil moisture data from the NLDAS model (1979-2013), HydroShare, https://doi.org/10.4211/hs.c9fb977bae21432b8b202f13b62285b1

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

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

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