Spatial-temporal statistics of daily precipitation data from the NLDAS model (1979-2013)
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| Resource type: | Composite Resource | ||
| Storage: | The size of this resource is 3.1 GB | ||
| Created: | Jan 24, 2017 at 3:04 p.m. | ||
| Last updated: | Jan 29, 2017 at 8:23 p.m.
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| DOI: | 10.4211/hs.f42f1387d7d54d7a9228888381d7c30e | ||
| Citation: | See how to cite this resource | ||
| Content types: | Multidimensional Content |
| Sharing Status: | Published |
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| Views: | 1257 |
| Downloads: | 153 |
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Abstract
The data set contains the daily statistics for the APCPsfc variable (precipitation total) 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 precipitation event.
Subject Keywords
Resource Level 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: | |
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| 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.
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 precipitation data from the NLDAS model (1979-2013), HydroShare, https://doi.org/10.4211/hs.f42f1387d7d54d7a9228888381d7c30e
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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