Runoff Ensemble Simulation based on Multiple Satellite Precipitation Products and Multiple Rainfall Runoff Models in Xijiang River Basin
Because of uncertainty of hydrological simulation, it's difficult for simulation resultof runoff which is obtained by single method to satisfy the requirement of hydrological accuracy.However, the ensemble simulation is an effective method to reduce uncertainty and improvesimulation accuracy. O...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Pearl River
2020-01-01
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| Series: | Renmin Zhujiang |
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| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.05.004 |
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| _version_ | 1841535656910651392 |
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| author | SHU Peng XIONG Lihua CHEN Shilei ZHA Xini |
| author_facet | SHU Peng XIONG Lihua CHEN Shilei ZHA Xini |
| author_sort | SHU Peng |
| collection | DOAJ |
| description | Because of uncertainty of hydrological simulation, it's difficult for simulation resultof runoff which is obtained by single method to satisfy the requirement of hydrological accuracy.However, the ensemble simulation is an effective method to reduce uncertainty and improvesimulation accuracy. Only in consideration of uncertainty of model structure, current researchesoften synthesize the simulation results from different hydrological models. But the uncertainty ofmodel input is also the important source of uncertainty of hydrological simulation. Based on theBayesian model averaging (BMA) method, and considering the uncertainty of the model structure andinput, this paper formulates three ensemble schemes, and synthesizes the runoff series obtained byinputting two satellite precipitation products, i.e. TRMM, CMORPH to three hydrological modelsi.e. DDRM model , Xin'anjiang model, GR4J model, and analyzes the simulation accuracy anduncertainty of each ensemble scheme. The results show thatrunoff series simulated by the distributed hydrological model DDRM with different satellite precipitation inputs, had goodcomplementarity. In addition, the ensemble simulation on these series performed by BMA caneffectively improve accuracy of simulation, and reduce the uncertainty of runoff simulation. |
| format | Article |
| id | doaj-art-d3370ee1f783464786319ae4592dc30b |
| institution | Kabale University |
| issn | 1001-9235 |
| language | zho |
| publishDate | 2020-01-01 |
| publisher | Editorial Office of Pearl River |
| record_format | Article |
| series | Renmin Zhujiang |
| spelling | doaj-art-d3370ee1f783464786319ae4592dc30b2025-01-15T02:30:51ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352020-01-014147651084Runoff Ensemble Simulation based on Multiple Satellite Precipitation Products and Multiple Rainfall Runoff Models in Xijiang River BasinSHU PengXIONG LihuaCHEN ShileiZHA XiniBecause of uncertainty of hydrological simulation, it's difficult for simulation resultof runoff which is obtained by single method to satisfy the requirement of hydrological accuracy.However, the ensemble simulation is an effective method to reduce uncertainty and improvesimulation accuracy. Only in consideration of uncertainty of model structure, current researchesoften synthesize the simulation results from different hydrological models. But the uncertainty ofmodel input is also the important source of uncertainty of hydrological simulation. Based on theBayesian model averaging (BMA) method, and considering the uncertainty of the model structure andinput, this paper formulates three ensemble schemes, and synthesizes the runoff series obtained byinputting two satellite precipitation products, i.e. TRMM, CMORPH to three hydrological modelsi.e. DDRM model , Xin'anjiang model, GR4J model, and analyzes the simulation accuracy anduncertainty of each ensemble scheme. The results show thatrunoff series simulated by the distributed hydrological model DDRM with different satellite precipitation inputs, had goodcomplementarity. In addition, the ensemble simulation on these series performed by BMA caneffectively improve accuracy of simulation, and reduce the uncertainty of runoff simulation.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.05.004runoff ensemble simulationBayesian model averagingsatellite precipitationuncertainty in hydrological modelXijiang River Basin |
| spellingShingle | SHU Peng XIONG Lihua CHEN Shilei ZHA Xini Runoff Ensemble Simulation based on Multiple Satellite Precipitation Products and Multiple Rainfall Runoff Models in Xijiang River Basin Renmin Zhujiang runoff ensemble simulation Bayesian model averaging satellite precipitation uncertainty in hydrological model Xijiang River Basin |
| title | Runoff Ensemble Simulation based on Multiple Satellite Precipitation Products and Multiple Rainfall Runoff Models in Xijiang River Basin |
| title_full | Runoff Ensemble Simulation based on Multiple Satellite Precipitation Products and Multiple Rainfall Runoff Models in Xijiang River Basin |
| title_fullStr | Runoff Ensemble Simulation based on Multiple Satellite Precipitation Products and Multiple Rainfall Runoff Models in Xijiang River Basin |
| title_full_unstemmed | Runoff Ensemble Simulation based on Multiple Satellite Precipitation Products and Multiple Rainfall Runoff Models in Xijiang River Basin |
| title_short | Runoff Ensemble Simulation based on Multiple Satellite Precipitation Products and Multiple Rainfall Runoff Models in Xijiang River Basin |
| title_sort | runoff ensemble simulation based on multiple satellite precipitation products and multiple rainfall runoff models in xijiang river basin |
| topic | runoff ensemble simulation Bayesian model averaging satellite precipitation uncertainty in hydrological model Xijiang River Basin |
| url | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.05.004 |
| work_keys_str_mv | AT shupeng runoffensemblesimulationbasedonmultiplesatelliteprecipitationproductsandmultiplerainfallrunoffmodelsinxijiangriverbasin AT xionglihua runoffensemblesimulationbasedonmultiplesatelliteprecipitationproductsandmultiplerainfallrunoffmodelsinxijiangriverbasin AT chenshilei runoffensemblesimulationbasedonmultiplesatelliteprecipitationproductsandmultiplerainfallrunoffmodelsinxijiangriverbasin AT zhaxini runoffensemblesimulationbasedonmultiplesatelliteprecipitationproductsandmultiplerainfallrunoffmodelsinxijiangriverbasin |