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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Test cases for the Geospatial Probabilistic Estimation Package (GPEP)

Authors: Guoqiang Tang; Andy Wood;

Test cases for the Geospatial Probabilistic Estimation Package (GPEP)

Abstract

The dataset contains test cases for the Geospatial Probabilistic Estimation Package (GPEP, https://github.com/NCAR/GPEP) and relevant publications. The two current test cases are based on prior implementations for GMET version 2.0 (https://github.com/NCAR/GMET and https://zenodo.org/records/5498408) for applications, and include: a GMET version 2.0 test case of daily meteorological forcing generation at 1/16th degree resolution for February 2017 for a region of the US Southwest encompassing California, US (Bunn et al, 2022). a test case for daily meteorological forcing generation at 0.01 degree resolution from 1970-2022 for a smaller region of the US Southwest encompassing the upper Colorado River basin and Colorado Front Range. The associated meteorological station forcings and gridded parameter inputs were developed for water resources research projects at NCAR (PI A. Wood) sponsored by the United States Army Corps of Engineers Climate Preparedness and Resilience Program and the United States Bureau of Reclamation Science and Technology Program. References: Bunn, PTW, AW Wood, AJ Newman, H Chang, CL Castro, MP Clark and JR Arnold, 2022, Improving station-based ensemble surface meteorological analyses using numerical weather prediction: A case study of the Oroville Dam crisis precipitation event. J. Hydromet. 23(7), 1155-1169. https://doi-org.cuucar.idm.oclc.org/10.1175/JHM-D-21-0193.1 

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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