Articles | Volume 16, issue 8
https://doi.org/10.5194/hess-16-2825-2012
© Author(s) 2012. 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-16-2825-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Value of medium range weather forecasts in the improvement of seasonal hydrologic prediction skill
S. Shukla
Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, 98195, USA
N. Voisin
Pacific Northwest National Laboratory, Richland, WA, 99352, USA
D. P. Lettenmaier
Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, 98195, USA
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- The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models M. Demirel et al. 10.5194/hess-19-275-2015
- Future Climate Change Impacts on Snow and Water Resources of the Fraser River Basin, British Columbia S. Islam et al. 10.1175/JHM-D-16-0012.1
- Post-Processing Ensemble Precipitation Forecasts and Their Applications in Summer Streamflow Prediction over a Mountain River Basin Y. Xiang et al. 10.3390/atmos14111645
- Seasonal streamflow forecasting by conditioning climatology with precipitation indices L. Crochemore et al. 10.5194/hess-21-1573-2017
- Prediction of Flash Droughts over the United States K. Mo & D. Lettenmaier 10.1175/JHM-D-19-0221.1
- Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
- Subseasonal to seasonal streamflow forecasting in a semiarid watershed P. Broxton et al. 10.1111/1752-1688.13147
- Soil Moisture Drought Monitoring and Forecasting Using Satellite and Climate Model Data over Southwestern China X. Zhang et al. 10.1175/JHM-D-16-0045.1
- Integrating weather and climate prediction: Toward seamless hydrologic forecasting X. Yuan et al. 10.1002/2014GL061076
- Evaluation of TIGGE Precipitation Forecast and Its Applicability in Streamflow Predictions over a Mountain River Basin, China Y. Xiang et al. 10.3390/w14152432
- Hydrologic Prediction over the Conterminous United States Using the National Multi-Model Ensemble K. Mo & D. Lettenmaier 10.1175/JHM-D-13-0197.1
- Performance of Post-Processed Methods in Hydrological Predictions Evaluated by Deterministic and Probabilistic Criteria X. Li et al. 10.1007/s11269-019-02302-y
- Probabilistic Forecasts of Snow Water Equivalent and Runoff in Mountainous Areas* S. Jörg-Hess et al. 10.1175/JHM-D-14-0193.1
- Utility of Global Ensemble Forecast System (GEFS) Reforecast for Medium-Range Drought Prediction in India R. Shah & V. Mishra 10.1175/JHM-D-15-0050.1
- A Bernoulli-Gamma hierarchical Bayesian model for daily rainfall forecasts C. Lima et al. 10.1016/j.jhydrol.2021.126317
- Global seasonal climate predictability in a two tiered forecast system: part I: boreal summer and fall seasons V. Misra et al. 10.1007/s00382-013-1812-y
- Bias correction of ensemble precipitation forecasts in the improvement of summer streamflow prediction skill C. Yang et al. 10.1016/j.jhydrol.2020.124955
- Making the most of data: An information selection and assessment framework to improve water systems operations M. Giuliani et al. 10.1002/2015WR017044
17 citations as recorded by crossref.
- On the Changing Contribution of Snow to the Hydrology of the Fraser River Basin, Canada D. Kang et al. 10.1175/JHM-D-13-0120.1
- Inferred inflow forecast horizons guiding reservoir release decisions across the United States S. Turner et al. 10.5194/hess-24-1275-2020
- The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models M. Demirel et al. 10.5194/hess-19-275-2015
- Future Climate Change Impacts on Snow and Water Resources of the Fraser River Basin, British Columbia S. Islam et al. 10.1175/JHM-D-16-0012.1
- Post-Processing Ensemble Precipitation Forecasts and Their Applications in Summer Streamflow Prediction over a Mountain River Basin Y. Xiang et al. 10.3390/atmos14111645
- Seasonal streamflow forecasting by conditioning climatology with precipitation indices L. Crochemore et al. 10.5194/hess-21-1573-2017
- Prediction of Flash Droughts over the United States K. Mo & D. Lettenmaier 10.1175/JHM-D-19-0221.1
- Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
- Subseasonal to seasonal streamflow forecasting in a semiarid watershed P. Broxton et al. 10.1111/1752-1688.13147
- Soil Moisture Drought Monitoring and Forecasting Using Satellite and Climate Model Data over Southwestern China X. Zhang et al. 10.1175/JHM-D-16-0045.1
- Integrating weather and climate prediction: Toward seamless hydrologic forecasting X. Yuan et al. 10.1002/2014GL061076
- Evaluation of TIGGE Precipitation Forecast and Its Applicability in Streamflow Predictions over a Mountain River Basin, China Y. Xiang et al. 10.3390/w14152432
- Hydrologic Prediction over the Conterminous United States Using the National Multi-Model Ensemble K. Mo & D. Lettenmaier 10.1175/JHM-D-13-0197.1
- Performance of Post-Processed Methods in Hydrological Predictions Evaluated by Deterministic and Probabilistic Criteria X. Li et al. 10.1007/s11269-019-02302-y
- Probabilistic Forecasts of Snow Water Equivalent and Runoff in Mountainous Areas* S. Jörg-Hess et al. 10.1175/JHM-D-14-0193.1
- Utility of Global Ensemble Forecast System (GEFS) Reforecast for Medium-Range Drought Prediction in India R. Shah & V. Mishra 10.1175/JHM-D-15-0050.1
- A Bernoulli-Gamma hierarchical Bayesian model for daily rainfall forecasts C. Lima et al. 10.1016/j.jhydrol.2021.126317
3 citations as recorded by crossref.
- Global seasonal climate predictability in a two tiered forecast system: part I: boreal summer and fall seasons V. Misra et al. 10.1007/s00382-013-1812-y
- Bias correction of ensemble precipitation forecasts in the improvement of summer streamflow prediction skill C. Yang et al. 10.1016/j.jhydrol.2020.124955
- Making the most of data: An information selection and assessment framework to improve water systems operations M. Giuliani et al. 10.1002/2015WR017044
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