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

Resource type: Composite Resource
Storage: The size of this resource is 99.0 MB
Created: Jan 24, 2017 at 11:34 a.m.
Last updated: Jan 29, 2017 at 8:21 p.m.
DOI: 10.4211/hs.7f0392828f01467386102ae4b52c3b5a
Citation: See how to cite this resource
Content types: Multidimensional Content 
Sharing Status: Published
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The data set contains the monthly 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 month 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

Resource Level Coverage


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


Start Date:
End Date:


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.



Derived From: NLDAS-2

Related Resources

This resource cites: 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.
This resource cites: Espinoza-Dávalos, G. E. (2016). Large-scale statistical analysis of NLDAS variables and hydrologic web applications. The University of Texas at Austin. Retrieved from


Funding Agencies

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

How to Cite

Espinoza-Dávalos, G., D. Maidment, D. Arctur, W. Teng, G. Comair (2017). Spatial-temporal statistics of monthly soil moisture data from the NLDAS model (1979-2013), HydroShare,

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


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