Use of Hydrological Models in Global Stochastic Flood Modeling
Author:
Affiliation:
1. School of Geographical Sciences University of Bristol Bristol UK
2. Fathom Bristol UK
3. King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia
Funder
Engineering and Physical Sciences Research Council
Royal Society
Natural Environment Research Council
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022WR032743
Reference46 articles.
1. Global Estimates of River Flow Wave Travel Times and Implications for Low-Latency Satellite Data
2. The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset
3. Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow Observations from 9372 Catchments
4. The Rising Costs of Floods: Examining the Impact of Planning and Development Decisions on Property Damage in Florida
5. The ERA-Interim reanalysis: configuration and performance of the data assimilation system
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