The role and value of distributed precipitation data in hydrological models

被引:21
作者
Loritz, Ralf [1 ]
Hrachowitz, Markus [2 ]
Neuper, Malte [1 ]
Zehe, Erwin [1 ]
机构
[1] Karlsruhe Inst Technol KIT, Inst Water & River Basin Management, Karlsruhe, Germany
[2] Delft Univ Technol, Fac Civil Engn & Geosci, Delft, Netherlands
关键词
HESS OPINIONS; RAINFALL VARIABILITY; RICHARDS EQUATION; SOIL-MOISTURE; WATER-FLOW; RUNOFF; SIMILARITY; UNCERTAINTY; SENSITIVITY; SCALE;
D O I
10.5194/hess-25-147-2021
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This study investigates the role and value of distributed rainfall for the runoff generation of a mesoscale catchment (20 km(2)). We compare four hydrological model setups and show that a distributed model setup driven by distributed rainfall only improves the model performances during certain periods. These periods are dominated by convective summer storms that are typically characterized by higher spatiotemporal variabilities compared to stratiform precipitation events that dominate rainfall generation in winter. Motivated by these findings, we develop a spatially adaptive model that is capable of dynamically adjusting its spatial structure during model execution. This spatially adaptive model allows the varying relevance of distributed rainfall to be represented within a hydrological model without losing predictive performance compared to a fully distributed model. Our results highlight that spatially adaptive modeling has the potential to reduce computational times as well as improve our understanding of the varying role and value of distributed precipitation data for hydrological models.
引用
收藏
页码:147 / 167
页数:21
相关论文
共 75 条