Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10501 - Hydrology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Hydrology-Regional Studies

ISSN

2214-5818

e-ISSN

—

Svazek periodika

2022

Číslo periodika v rámci svazku

44

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

24

Strana od-do

10126-10149

Kód UT WoS článku

000894507800002

EID výsledku v databázi Scopus

2-s2.0-85144022776