Articles | Volume 24, issue 8
https://doi.org/10.5194/hess-24-3933-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-3933-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A coupled atmospheric–hydrologic modeling system with variable grid sizes for rainfall–runoff simulation in semi-humid and semi-arid watersheds: how does the coupling scale affects the results?
Jiyang Tian
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Jia Liu
CORRESPONDING AUTHOR
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Yang Wang
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Swanson School of Engineering, University of Pittsburgh,
Pittsburgh, PA 15261, USA
Wei Wang
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China
Chuanzhe Li
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Chunqi Hu
Bureau of Water Resources Survey of Hebei, Shijiazhuang, 050031, China
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- Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity W. Wang et al. 10.3390/rs13040595
- Comprehensive study of extreme rainfall events using model simulations and remotely sensed observations S. Budakoti & C. Singh 10.1080/02626667.2023.2235349
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19 citations as recorded by crossref.
- Coupling WRF with HEC-HMS and WRF-Hydro for flood forecasting in typical mountainous catchments of northern China S. Jam-Jalloh et al. 10.5194/nhess-24-3155-2024
- Framework for Improving Land Boundary Conditions in Ocean Regional Products F. Campuzano et al. 10.3390/jmse10070852
- Application of the WRF model rainfall product for the localized flood hazard modeling in a data-scarce environment Y. Umer et al. 10.1007/s11069-021-05117-6
- Estimation of rainfall-induced surface runoff for the Assam region, India, using the GIS-based NRCS-CN method L. Gupta & J. Dixit 10.1080/17445647.2022.2076624
- A distributed hydrological model for semi-humid watersheds with a thick unsaturated zone under strong anthropogenic impacts: A case study in Haihe River Basin X. Chen et al. 10.1016/j.jhydrol.2023.129765
- Influence of Calibration Parameter Selection on Flash Flood Simulation for Small to Medium Catchments with MISDc-2L Model N. Nguyen et al. 10.3390/w12113255
- Spatial downscaling of precipitation for hydrological modelling: Assessing a simple method and its application under climate change in Britain A. Kay et al. 10.1002/hyp.14823
- An efficient flash flood forecasting system for the un-gaged Meghna basin using open source platform Delft-FEWS M. Chowdhury et al. 10.1016/j.envsoft.2022.105614
- Water conservation appraisal using surface runoff estimated by an integrated SCS-CN and MCDA-AHP technique S. Baghel et al. 10.1007/s12040-023-02133-x
- A Review on the Development of Two-Way Coupled Atmospheric-Hydrological Models Q. Xia et al. 10.3390/su15032803
- A WRF/WRF-Hydro coupling system with an improved structure for rainfall-runoff simulation with mixed runoff generation mechanism W. Wang et al. 10.1016/j.jhydrol.2022.128049
- Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity W. Wang et al. 10.3390/rs13040595
- Comprehensive study of extreme rainfall events using model simulations and remotely sensed observations S. Budakoti & C. Singh 10.1080/02626667.2023.2235349
- Possibility of global gridded streamflow dataset correction: applications of large-scale watersheds with different climates H. Barkhordari et al. 10.1007/s00704-023-04388-2
- Development of A Distributed Modeling Framework Considering Spatiotemporally Varying Hydrological Processes for Sub-Daily Flood Forecasting in Semi-Humid and Semi-Arid Watersheds X. Li et al. 10.1007/s11269-024-03837-5
- Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study of four watersheds with different hydro-climatic regions across the CONUS T. Kim et al. 10.1016/j.jhydrol.2021.126423
- Generating high-resolution climatological precipitation data using SinGAN Y. Wang & H. Karimi 10.1080/20964471.2022.2140868
- iRainSnowHydro v1.0: A distributed integrated rainfall-runoff and snowmelt-runoff simulation model for alpine watersheds Y. Luo et al. 10.1016/j.jhydrol.2024.132220
- A modified hydrologic model for examining the capability of global gridded PET products in improving hydrological simulation accuracy of surface runoff, streamflow and baseflow Z. Luo & Q. Shao 10.1016/j.jhydrol.2022.127960
Latest update: 20 Nov 2024
Short summary
The aim of this study is to explore the appropriate coupling scale of the coupled atmospheric–hydrologic modeling system, which is established by the Weather Research and Forecasting (WRF) model and the gridded Hebei model with different sizes. The results show that the flood simulation results may not always be improved with higher-dimension precision and a more complicated system, and the grid size selection has a strong relationship with the rainfall evenness.
The aim of this study is to explore the appropriate coupling scale of the coupled...