An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
ETH Zurich · Arizona State University · +15 more institutions
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Abstract
No abstract available for this paper.
Citation impact
666
total citations
- FWCI
- 30.96
- Percentile
- 100%
- References
- 307
Citations per year
Authors
19Topics & keywords
Topics
Keywords
- Computer science
- Context (archaeology)
- Process (computing)
- Hydrological modelling
- Surface runoff
- Earth system science
- Streamflow
- Hydrology (agriculture)
UN Sustainable Development Goals
- Climate action
No related works found for this paper.
Funding
- NSNational Science FoundationAwards: 1151443, EAR 1151443
- DFDeutsche ForschungsgemeinschaftAward: SFB/TR32
- ETEidgenössische Technische Hochschule ZürichAward: EAR 1151443
- SNStavros Niarchos Foundation
- EZETH Zürich FoundationAward: ETH-29 14-2
- UGU.S. Geological Survey
- NSNational Science Foundation of Sri LankaAward: EAR 1151443