Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Authors: |
|
|
---|---|---|
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 2.9 GB | |
Created: | Jan 24, 2017 at 2:57 p.m. | |
Last updated: | Jan 29, 2017 at 8:23 p.m. (Metadata update) | |
Published date: | Jan 29, 2017 at 8:23 p.m. | |
DOI: | 10.4211/hs.ff2a6f87817544a08c82ebcf119bae80 | |
Citation: | See how to cite this resource | |
Content types: | Multidimensional Content |
Sharing Status: | Published |
---|---|
Views: | 2035 |
Downloads: | 230 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
The data set contains the daily statistics for the EVPsfc variable (total evapotranspiration) 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 gamma distribution
Subject Keywords
Coverage
Spatial
Temporal
Start Date: | |
---|---|
End Date: |
Content
Data Services
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
This resource is shared under the Creative Commons Attribution-NoCommercial CC BY-NC.
http://creativecommons.org/licenses/by-nc/4.0/
Comments
There are currently no comments
New Comment