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Spatial-temporal statistics of daily surface runoff data from the NLDAS model (1979-2013)

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Type:	Resource
Storage:	The size of this resource is 3.1 GB
Created:	Jan 24, 2017 at 8:34 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.fbc7af608a324a7a9cbbdd415d0a9499
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 SSRUNsfc variable (surface runoff - non-infiltrating) 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, probability of event, 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 given that there was a runoff event.

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

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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/fbc7af608a324a7a9cbbdd415d0a9499/data/contents/catalog.html

THREDDS Documentation OPeNDAP Documentation

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.
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 surface runoff data from the NLDAS model (1979-2013), HydroShare, https://doi.org/10.4211/hs.fbc7af608a324a7a9cbbdd415d0a9499

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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