Testing the mHM-MPR Reliability for Parameter Transferability across Locations in North-Central Nigeria

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91483" target="_blank" >RIV/60460709:41330/22:91483 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/2306-5338/9/9/158" target="_blank" >https://www.mdpi.com/2306-5338/9/9/158</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/hydrology9090158" target="_blank" >10.3390/hydrology9090158</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Testing the mHM-MPR Reliability for Parameter Transferability across Locations in North-Central Nigeria

Popis výsledku v původním jazyce

Hydrologic modeling in Nigeria is plagued by non-existent or paucity of hydro-metrological/ morphological records, which has detrimental impacts on sustainable water resource management and agricultural production. Nowadays, freely accessible remotely sensed products are used as inputs in hydrologic modeling, especially in regions with deficient observed records. Therefore, it is appropriate to utilize the fine-resolution spatial coverage offered by these products in a parameter regionalization method that supports sub-grid variability. This study assessed the transferability of optimized model parameters from a gauged to an ungauged basin using the mesoscale Hydrologic Model (mHM) Multiscale Parameter Regionalization (MPR) technique. The ability of the fifth generation European Centre for Medium-Range Weather Forecasts Reanalysis product (ERA5), Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), Global Precipitation Climatology Centre (GPCC), and Multi-Source Weighted

Název v anglickém jazyce

Testing the mHM-MPR Reliability for Parameter Transferability across Locations in North-Central Nigeria

Popis výsledku anglicky

Hydrologic modeling in Nigeria is plagued by non-existent or paucity of hydro-metrological/ morphological records, which has detrimental impacts on sustainable water resource management and agricultural production. Nowadays, freely accessible remotely sensed products are used as inputs in hydrologic modeling, especially in regions with deficient observed records. Therefore, it is appropriate to utilize the fine-resolution spatial coverage offered by these products in a parameter regionalization method that supports sub-grid variability. This study assessed the transferability of optimized model parameters from a gauged to an ungauged basin using the mesoscale Hydrologic Model (mHM) Multiscale Parameter Regionalization (MPR) technique. The ability of the fifth generation European Centre for Medium-Range Weather Forecasts Reanalysis product (ERA5), Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), Global Precipitation Climatology Centre (GPCC), and Multi-Source Weighted

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

HYDROLOGY

ISSN

2306-5338

e-ISSN

2306-5338

Svazek periodika

9

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

23

Strana od-do

1-23

Kód UT WoS článku

000858349500001

EID výsledku v databázi Scopus

2-s2.0-85139035221