Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91805" target="_blank" >RIV/60460709:41330/22:91805 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2214581822002828" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2214581822002828</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ejrh.2022.101269" target="_blank" >10.1016/j.ejrh.2022.101269</a>
Alternative languages
Result language
angličtina
Original language name
Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran
Original language description
Study region Karkheh and Karun basins are two large river basins with complex topography in southwest Iran. Study focus Access to spatio-temporally consistent precipitation data is a key requirement for hydrological studies, especially in data-scarce regions. This study evaluated 14 global precipitation products against gauge observations from 2003 to 2012 in Karun and Karkheh basins, southwest Iran. Different categorical and statistical indices at varying spatial and temporal resolution, including Kling-Gupta Efficiency, bias, correlation coefficient, and variability ratio, were used to evaluate the products. New hydrological insights for the region For daily time steps, TMPA-3B42V7,0, MERRA-2, and CMORPH-BLDV1,0 outperformed all other products, with KGE greater than 0,3. TMPA-3B42V7,0, MERRA-2, and PERSIANN-CDR were the best-performing products for monthly time steps, with KGE greater than 0,5. ERA5-Land showed the highest positive bias (bias greater than 1,5) compared with in-situ observation
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10501 - Hydrology
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Hydrology-Regional Studies
ISSN
2214-5818
e-ISSN
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Volume of the periodical
2022
Issue of the periodical within the volume
44
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
24
Pages from-to
10126-10149
UT code for WoS article
000894507800002
EID of the result in the Scopus database
2-s2.0-85144022776