HelioWebShervan Gharari
flowchart
A[Shervan Gharari]
AC["Associated Concepts (21)"]
AW["Authored Works (13)"]
CA["Linked Co-Authors (29)"]
CI["Linked Collaborating Institutions (15)"]
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AW== author ==>CA
AW== affil ==>CI
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click AW "#authored-works"
click CA "#co-authors"
click CI "#collaborating-institutions"
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- ORCiD
- https://orcid.org/0000-0002-5358-5714
- OpenAlex ID
- https://openalex.org/A5016047793 (API record)
Associated Concepts [?]
- Computer science
- Engineering
- Geology
- Mathematics
- Geography
- Environmental science
- Biology
- Physics
- Ecology
- Statistics
- Geotechnical engineering
- Hydrology (agriculture)
- Economics
- Quantum mechanics
- Artificial intelligence
- Cartography
- Programming language
- Philosophy
- Operating system
- Drainage basin
- Climatology
Authored Works
sorted by decreasing year, and then by display-name
- The impact of meteorological forcing uncertainty on hydrological modeling in representative cryosphere basins on the global scale
- Development of an open-source workflow for community large-scale hydrological modeling
- Advancing capabilities of terrestrial system models
- A New Spin on Global Sensitivity Analysis: Sensitivity Analysis of the SUMMA Model on the Global Scale
- Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data
- The anatomy and uncertainty of a Canadian National River Gauging Network
- The abuse of popular performance metrics in hydrologic modeling
- Implementing Reservoir Operation in a Global River Routing Model for Integration in Earth System Models
- Creating an open-source, reproducible water resources modelling workflow
- Community modeling: supporting large-domain water resources modeling through an open-source model configuration toolbox
- Characterizing global hydrological modeling uncertainties using the Ensemble Meteorological Dataset for Planet Earth (EM-Earth)
- Advancing the science and practice of community hydrologic modeling: Development of open-source models, methods, and datasets to enable process-based hydrologic prediction across North America (and beyond)
- A new spin on global sensitivity analysis: worldwide sensitivity analysis of the SUMMA model
Linked Co-Authors
- A. W. Wood
- Alain Pietroniro
- Andrew Bennett
- Andrew J. Newman
- Ashley E. Van Beusekom
- Bart Nijssen
- Bruce Davison
- Christopher B. Marsh
- David G. Tarboton
- David M. Lawrence
- Fabrizio Fenicia
- Guoqiang Tang
- Hongli Liu
- Hylke E. Beck
- Inne Vanderkelen
- John W. Pomeroy
- Jonathan R. Lamontagne
- Kevin Shook
- Louise Arnal
- Markus Hrachowitz
- Martyn P. Clark
- Paul H. Whitfield
- Raymond J. Spiteri
- S. Papalexiou
- Sean Swenson
- Tricia A. Stadnyk
- Wim Thiery
- Wouter Knoben
- Yadu Pokhrel
Linked Collaborating Institutions
- Environment Canada
- Ispra, European Commission Joint Research Centre, Italy
- Luxembourg Institute of Science and Technology
- Michigan State University
- National Center for Atmospheric Research, Colorado
- Swiss Federal Institute of Aquatic Science and Technology
- Technical University of Delft, Netherlands
- Tufts University, Massachusetts
- University of Arizona
- University of Arizona, Department of Hydrology and Water Resources
- University of Calgary, Canada
- University of Saskatchewan, Canada
- University of Washington, Seattle
- Utah State University
- Vrije Universiteit, Brussels, Belgium
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