Articles | Volume 18, issue 4
https://doi.org/10.5194/hess-18-1539-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-1539-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Apr 2014
Research article |
| 29 Apr 2014
Climate information based streamflow and rainfall forecasts for Huai River basin using hierarchical Bayesian modeling
X. Chen
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430010, China
Z. Hao
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
N. Devineni
Department of Civil Engineering, The City University of New York (City College), New York, NY 10031, USA
NOAA-Cooperative Remote Sensing Science and Technology Center, The City University of New York (City College), New York, NY 10031, USA
Columbia Water Center, The Earth Institute, Columbia University, New York, NY 10027, USA
Department of Earth and Environmental Engineering, Columbia University, New York, NY 10027, USA
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Cited
28 citations as recorded by crossref.
- The effects of pre‐season high flows, climate, and the Three Gorges Dam on low flow at the Three Gorges Region, China Z. Su et al. 10.1002/hyp.13714
- AltEx: An open source web application and toolkit for accessing and exploring altimetry datasets K. Markert et al. 10.1016/j.envsoft.2019.03.021
- A stepwise-cluster forecasting approach for monthly streamflows based on climate teleconnections Y. Fan et al. 10.1007/s00477-015-1048-y
- Comparison of nonstationary models in analyzing bivariate flood frequency at the Three Gorges Dam X. Zhang et al. 10.1016/j.jhydrol.2019.124208
- The impact of the Three Gorges Dam on summer streamflow in the Yangtze River Basin Z. Su et al. 10.1002/hyp.13619
- Challenges and Evolution of Water Level Monitoring towards a Comprehensive, World-Scale Coverage with Remote Sensing M. Machefer et al. 10.3390/rs14153513
- Improving hydrological projection performance under contrasting climatic conditions using spatial coherence through a hierarchical Bayesian regression framework Z. Pan et al. 10.5194/hess-23-3405-2019
- Probabilistic subseasonal precipitation forecasts using preceding atmospheric intraseasonal signals in a Bayesian perspective Y. Li et al. 10.5194/hess-26-4975-2022
- An improved nonstationary model for flood frequency analysis and its implication for the Three Gorges Dam, China Q. Dong et al. 10.1080/02626667.2019.1596274
- Monthly drought prediction based on ensemble models M. Shaukat et al. 10.7717/peerj.9853
- Spatially coherent trends of annual maximum daily precipitation in the United States X. Sun & U. Lall 10.1002/2015GL066483
- Spatiotemporal patterns of precipitation regimes in the Huai River basin, China, and possible relations with ENSO events Y. Wang et al. 10.1007/s11069-016-2303-3
- Quantifying the effect of climate variability on seasonal precipitation using Bayesian clustering approach in Kebir Rhumel Basin, Algeria L. Belkhiri & N. Krakauer 10.1007/s00477-023-02488-z
- A hierarchical Bayesian model for decomposing the impacts of human activities and climate change on water resources in China X. Zhang et al. 10.1016/j.scitotenv.2019.02.189
- A review of methods for monitoring streamflow for sustainable water resource management P. Dobriyal et al. 10.1007/s13201-016-0488-y
- Quantifying predictive uncertainty of streamflow forecasts based on a Bayesian joint probability model T. Zhao et al. 10.1016/j.jhydrol.2015.06.043
- Impacts of various types of El Niño–Southern Oscillation (ENSO) and ENSO Modoki on the rainy season over the Huaihe River basin Q. Cao et al. 10.1002/joc.6002
- Changing Seasonality of Annual Maximum Floods over the Conterminous US: Potential Drivers and Regional Synthesis B. Basu et al. 10.1061/JHYEFF.HEENG-5768
- China’s socioeconomic risk from extreme events in a changing climate: a hierarchical Bayesian model X. Yuan et al. 10.1007/s10584-016-1749-3
- A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information D. Tian et al. 10.1007/s00477-021-02023-y
- Diagnosing the impacts of landscape characteristics on hydrologic signatures in the Krycklan catchment in Sweden using a flexible hydrological model R. Guo et al. 10.1016/j.pce.2024.103565
- On the Predictability of Daily Rainfall during Rainy Season over the Huaihe River Basin Q. Cao et al. 10.3390/w11050916
- Entropy‐based spatiotemporal patterns of precipitation regimes in the Huai River basin, China Q. Zhang et al. 10.1002/joc.4498
- Hierarchical Bayesian clustering for nonstationary flood frequency analysis: Application to trends of annual maximum flow in Germany X. Sun et al. 10.1002/2015WR017117
- Reducing the uncertainty of time-varying hydrological model parameters using spatial coherence within a hierarchical Bayesian framework Z. Pan et al. 10.1016/j.jhydrol.2019.123927
- Forecasting China’s regional energy demand by 2030: A Bayesian approach X. Yuan et al. 10.1016/j.resconrec.2017.08.016
- Comparison of ensemble models for drought prediction based on climate indexes X. Zhang et al. 10.1007/s00477-019-01650-w
- Streamflow Simulation Using Bayesian Regression with Multivariate Linear Spline to Estimate Future Changes R. Das Bhowmik et al. 10.3390/w10070875
28 citations as recorded by crossref.
- The effects of pre‐season high flows, climate, and the Three Gorges Dam on low flow at the Three Gorges Region, China Z. Su et al. 10.1002/hyp.13714
- AltEx: An open source web application and toolkit for accessing and exploring altimetry datasets K. Markert et al. 10.1016/j.envsoft.2019.03.021
- A stepwise-cluster forecasting approach for monthly streamflows based on climate teleconnections Y. Fan et al. 10.1007/s00477-015-1048-y
- Comparison of nonstationary models in analyzing bivariate flood frequency at the Three Gorges Dam X. Zhang et al. 10.1016/j.jhydrol.2019.124208
- The impact of the Three Gorges Dam on summer streamflow in the Yangtze River Basin Z. Su et al. 10.1002/hyp.13619
- Challenges and Evolution of Water Level Monitoring towards a Comprehensive, World-Scale Coverage with Remote Sensing M. Machefer et al. 10.3390/rs14153513
- Improving hydrological projection performance under contrasting climatic conditions using spatial coherence through a hierarchical Bayesian regression framework Z. Pan et al. 10.5194/hess-23-3405-2019
- Probabilistic subseasonal precipitation forecasts using preceding atmospheric intraseasonal signals in a Bayesian perspective Y. Li et al. 10.5194/hess-26-4975-2022
- An improved nonstationary model for flood frequency analysis and its implication for the Three Gorges Dam, China Q. Dong et al. 10.1080/02626667.2019.1596274
- Monthly drought prediction based on ensemble models M. Shaukat et al. 10.7717/peerj.9853
- Spatially coherent trends of annual maximum daily precipitation in the United States X. Sun & U. Lall 10.1002/2015GL066483
- Spatiotemporal patterns of precipitation regimes in the Huai River basin, China, and possible relations with ENSO events Y. Wang et al. 10.1007/s11069-016-2303-3
- Quantifying the effect of climate variability on seasonal precipitation using Bayesian clustering approach in Kebir Rhumel Basin, Algeria L. Belkhiri & N. Krakauer 10.1007/s00477-023-02488-z
- A hierarchical Bayesian model for decomposing the impacts of human activities and climate change on water resources in China X. Zhang et al. 10.1016/j.scitotenv.2019.02.189
- A review of methods for monitoring streamflow for sustainable water resource management P. Dobriyal et al. 10.1007/s13201-016-0488-y
- Quantifying predictive uncertainty of streamflow forecasts based on a Bayesian joint probability model T. Zhao et al. 10.1016/j.jhydrol.2015.06.043
- Impacts of various types of El Niño–Southern Oscillation (ENSO) and ENSO Modoki on the rainy season over the Huaihe River basin Q. Cao et al. 10.1002/joc.6002
- Changing Seasonality of Annual Maximum Floods over the Conterminous US: Potential Drivers and Regional Synthesis B. Basu et al. 10.1061/JHYEFF.HEENG-5768
- China’s socioeconomic risk from extreme events in a changing climate: a hierarchical Bayesian model X. Yuan et al. 10.1007/s10584-016-1749-3
- A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information D. Tian et al. 10.1007/s00477-021-02023-y
- Diagnosing the impacts of landscape characteristics on hydrologic signatures in the Krycklan catchment in Sweden using a flexible hydrological model R. Guo et al. 10.1016/j.pce.2024.103565
- On the Predictability of Daily Rainfall during Rainy Season over the Huaihe River Basin Q. Cao et al. 10.3390/w11050916
- Entropy‐based spatiotemporal patterns of precipitation regimes in the Huai River basin, China Q. Zhang et al. 10.1002/joc.4498
- Hierarchical Bayesian clustering for nonstationary flood frequency analysis: Application to trends of annual maximum flow in Germany X. Sun et al. 10.1002/2015WR017117
- Reducing the uncertainty of time-varying hydrological model parameters using spatial coherence within a hierarchical Bayesian framework Z. Pan et al. 10.1016/j.jhydrol.2019.123927
- Forecasting China’s regional energy demand by 2030: A Bayesian approach X. Yuan et al. 10.1016/j.resconrec.2017.08.016
- Comparison of ensemble models for drought prediction based on climate indexes X. Zhang et al. 10.1007/s00477-019-01650-w
- Streamflow Simulation Using Bayesian Regression with Multivariate Linear Spline to Estimate Future Changes R. Das Bhowmik et al. 10.3390/w10070875
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