Articles | Volume 24, issue 3
https://doi.org/10.5194/hess-24-1275-2020
© 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-24-1275-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Mar 2020
Research article |
| 19 Mar 2020
| 19 Mar 2020
Inferred inflow forecast horizons guiding reservoir release decisions across the United States
Energy and Environment Directorate, Pacific Northwest National Laboratory, Seattle, WA, USA
Wenwei Xu
Energy and Environment Directorate, Pacific Northwest National Laboratory, Seattle, WA, USA
Nathalie Voisin
Energy and Environment Directorate, Pacific Northwest National Laboratory, Seattle, WA, USA
Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA
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35 citations as recorded by crossref.
- Applying wavelet transformation and artificial neural networks to develop forecasting-based reservoir operating rule curves S. Ashrafi et al. 10.1080/02626667.2020.1784902
- Quick large-scale spatiotemporal flood inundation computation using integrated Encoder-Decoder LSTM with time distributed spatial output models G. Wei et al. 10.1016/j.jhydrol.2024.130993
- Forecast Families: A New Method to Systematically Evaluate the Benefits of Improving the Skill of an Existing Forecast C. Rougé et al. 10.1061/JWRMD5.WRENG-5934
- Analyzing the spatial interactions between rainfall levels and flooding prediction in São Paulo W. Billa et al. 10.1111/tgis.13116
- Simulation of hydropower at subcontinental to global scales: a state-of-the-art review S. Turner & N. Voisin 10.1088/1748-9326/ac4e38
- A Typology for Characterizing Human Action in MultiSector Dynamics Models J. Yoon et al. 10.1029/2021EF002641
- Coupling large-scale climate indices with a stochastic weather generator to improve long-term streamflow forecasts in a Canadian watershed S. Sohrabi et al. 10.1016/j.jhydrol.2020.125925
- The application of sub‐seasonal to seasonal (S2S) predictions for hydropower forecasting R. Graham et al. 10.1002/met.2047
- Reservoir Operators React to Uncertainty in Snowmelt Runoff Forecasts T. Stillinger et al. 10.1061/(ASCE)WR.1943-5452.0001437
- Soft-cooperation via data sharing eases transboundary conflicts in the Lancang-Mekong River Basin J. Gao et al. 10.1016/j.jhydrol.2022.127464
- Turkey’s Hydropower Potential in the Near Future and the Possible Impacts of Climate Change—A Case Study of the Euphrates–Tigris Basin G. Guzey & B. Onoz 10.3390/cli12100156
- ResOpsUS, a dataset of historical reservoir operations in the contiguous United States J. Steyaert et al. 10.1038/s41597-022-01134-7
- Embedding communication concepts in forecasting training increases students' understanding of ecological uncertainty W. Woelmer et al. 10.1002/ecs2.4628
- Valuing the Codesign of Streamflow Forecast and Reservoir Operation Models G. Yang et al. 10.1061/JWRMD5.WRENG-6023
- Physical and Economic Determinants on Forecast Horizon for Long-Term Reservoir Operation W. Meng et al. 10.1061/JWRMD5.WRENG-5973
- Synthesis of historical reservoir operations from 1980 to 2020 for the evaluation of reservoir representation in large-scale hydrologic models J. Steyaert & L. Condon 10.5194/hess-28-1071-2024
- Near‐term forecasts of stream temperature using deep learning and data assimilation in support of management decisions J. Zwart et al. 10.1111/1752-1688.13093
- Direct Integration of Numerous Dams and Reservoirs Outflow in Continental Scale Hydrologic Modeling A. Tavakoly et al. 10.1029/2020WR029544
- Unfolding the relationship between seasonal forecast skill and value in hydropower production: a global analysis D. Lee et al. 10.5194/hess-26-2431-2022
- Exploring the use of seasonal forecasts to adapt flood insurance premiums V. Nguyen et al. 10.5194/nhess-24-2923-2024
- Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling I. Vanderkelen et al. 10.5194/gmd-15-4163-2022
- Water storage and release policies for all large reservoirs of conterminous United States S. Turner et al. 10.1016/j.jhydrol.2021.126843
- Data‐Driven Reservoir Simulation in a Large‐Scale Hydrological and Water Resource Model S. Turner et al. 10.1029/2020WR027902
- mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model T. Thurber et al. 10.21105/joss.03221
- Dam System and Reservoir Operational Safety: A Meta-Research A. Badr et al. 10.3390/w15193427
- Progress and opportunities in advancing near‐term forecasting of freshwater quality M. Lofton et al. 10.1111/gcb.16590
- Scale-invariant sensitivity for multi-purpose water reservoirs management with temporal scale-dependent modeling K. Ren et al. 10.1016/j.jenvman.2023.117862
- Optimal advanced release scheme based on effective forecast horizon to minimize flood at downstream of a hydroelectric project D. Devi & A. Kumar Sarma 10.1016/j.jhydrol.2024.130822
- Scale effects of physically based TOPKAPI model in reservoir inflow flood forecasting for ungauged basins Y. Sheng et al. 10.1016/j.ejrh.2024.102104
- Forecast Informed Reservoir Operations Using Ensemble Streamflow Predictions for a Multipurpose Reservoir in Northern California C. Delaney et al. 10.1029/2019WR026604
- A Hierarchical Temporal Scale Framework for Data‐Driven Reservoir Release Modeling Q. Longyang & R. Zeng 10.1029/2022WR033922
- Toward hyper-resolution global hydrological models including human activities: application to Kyushu island, Japan N. Hanasaki et al. 10.5194/hess-26-1953-2022
- Policy Representation Learning for Multiobjective Reservoir Policy Design With Different Objective Dynamics M. Zaniolo et al. 10.1029/2020WR029329
- General Assessment of the Operational Utility of National Water Model Reservoir Inflows for the Bureau of Reclamation Facilities F. Viterbo et al. 10.3390/w12102897
- Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling C. Rougé et al. 10.5194/hess-25-1365-2021
Latest update: 13 Dec 2024
Short summary
To understand human vulnerability to flood and drought risk across large regions, researchers increasingly use large-scale hydrological models that convert climate to river flows. These models include the important effects of river regulation by dams but do not currently capture dam operators' use of flow forecasts to mitigate risk. This research addresses this problem by developing an approach to infer the forecast horizons contributing to the operations of a large sample of dams.
To understand human vulnerability to flood and drought risk across large regions, researchers...
