TY - JOUR
T1 - Parameter regionalization of the FLEX-Global hydrological model
AU - Wang, Jingjing
AU - Gao, Hongkai
AU - Liu, Min
AU - Ding, Yongjian
AU - Wang, Yan
AU - Zhao, Fang
AU - Xia, Jun
N1 - Publisher Copyright:
© 2021, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2021/4
Y1 - 2021/4
N2 - Global hydrological models (GHMs) are important tools for addressing worldwide change-related water resource problems from a global perspective. However, the development of these models has long been hindered by their low accuracy. In order to improve the streamflow simulation accuracy of GHMs, we developed a GHM—the FLEX-Global—based on the regionalization of hydrological model parameters. The FLEX-Global model is primarily based on the framework of the FLEX hydrological model coupled with the HAND-based Storage Capacity curve (HSC) runoff generation module to calculate net rainfall, and uses the global river-routing CaMa-Flood model to calculate river network routing. This new model allows for streamflow simulation at a spatial resolution of 0.5°×0.5° and a temporal resolution of 1 day in global catchments. To validate FLEX-Global accuracy, the FLEX-Global-simulated streamflow of 26 major rivers distributed in five different climate zones was compared with the observed data from the Global Runoff Data Center (GRDC). Next, the model performance of FLEX-Global was further verified by comparing it with that of seven existing GHMs with varying accuracy in the five climate zones. Multi-metric evaluation indicated that the streamflow simulation accuracy was improved by the FLEX-Global model with regionalized parameters, especially in the tropical and dry climate zones. This newly-developed GHM with regionalized parameters can provide scientific support for the assessment of climate change impact, optimization of global water resource mangement, simulation of Earth’s multi-sphere coupling, and implementation of the Inter-Sectoral Impact Model Inter-comparison Project (ISIMIP).
AB - Global hydrological models (GHMs) are important tools for addressing worldwide change-related water resource problems from a global perspective. However, the development of these models has long been hindered by their low accuracy. In order to improve the streamflow simulation accuracy of GHMs, we developed a GHM—the FLEX-Global—based on the regionalization of hydrological model parameters. The FLEX-Global model is primarily based on the framework of the FLEX hydrological model coupled with the HAND-based Storage Capacity curve (HSC) runoff generation module to calculate net rainfall, and uses the global river-routing CaMa-Flood model to calculate river network routing. This new model allows for streamflow simulation at a spatial resolution of 0.5°×0.5° and a temporal resolution of 1 day in global catchments. To validate FLEX-Global accuracy, the FLEX-Global-simulated streamflow of 26 major rivers distributed in five different climate zones was compared with the observed data from the Global Runoff Data Center (GRDC). Next, the model performance of FLEX-Global was further verified by comparing it with that of seven existing GHMs with varying accuracy in the five climate zones. Multi-metric evaluation indicated that the streamflow simulation accuracy was improved by the FLEX-Global model with regionalized parameters, especially in the tropical and dry climate zones. This newly-developed GHM with regionalized parameters can provide scientific support for the assessment of climate change impact, optimization of global water resource mangement, simulation of Earth’s multi-sphere coupling, and implementation of the Inter-Sectoral Impact Model Inter-comparison Project (ISIMIP).
KW - Global hydrological model
KW - Model performance
KW - Parameter regionalization
UR - https://www.scopus.com/pages/publications/85100870726
U2 - 10.1007/s11430-020-9706-3
DO - 10.1007/s11430-020-9706-3
M3 - 文章
AN - SCOPUS:85100870726
SN - 1674-7313
VL - 64
SP - 571
EP - 588
JO - Science China Earth Sciences
JF - Science China Earth Sciences
IS - 4
ER -