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|Storage:||The size of this resource is 2.9 GB|
|Created:||Jan 24, 2017 at 2:53 p.m.|
|Last updated:|| Jan 29, 2017 at 8:23 p.m.
|Citation:||See how to cite this resource|
|Content types:||Multidimensional Content|
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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
|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|
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)|
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This resource is shared under the Creative Commons Attribution-NoCommercial CC BY-NC.http://creativecommons.org/licenses/by-nc/4.0/
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