Bart Nijssen

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    A[Bart Nijssen]
    AC["Associated Concepts (19)"]
    AW["Authored Works (14)"]
    CA["Linked Co-Authors (27)"]
    CI["Linked Collaborating Institutions (11)"]
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    click CI "#collaborating-institutions"

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ORCiD

https://orcid.org/0000-0002-4062-0322

OpenAlex ID

https://openalex.org/A5012049201 (API record)

Associated Concepts [?]

• Geology
• Environmental science
• Geography
• Physics
• Biology
• Ecology
• Engineering
• Climatology
• Computer science
• Meteorology
• Oceanography
• Geotechnical engineering
• Hydrology (agriculture)
• Cartography
• Climate change
• Drainage basin
• Mathematics
• Quantum mechanics
• Geomorphology

Authored Works

sorted by decreasing year, and then by display-name

• Mapping the Drought Nexus: Characterizing How Different Drought Metrics Observe Impacts in the Columbia River Basin
• LamaH-Ice: Large-Sample Data for Hydrology and Environmental Sciences for Iceland
• Challenges and Opportunities in Predicting Earth-Human Systems of Coastal Regions: A Review of the Puget Sound Region
• A new process-oriented ensemble hydrological prediction system for flood prediction and water management in the US Pacific Northwest
• Where and When Does Streamflow Regulation Significantly Affect Climate Change Outcomes in the Columbia River Basin?
• Using physics-based machine learning to estimate unobserved quantities: A case study for landscape-scale soil and vegetation conductances to heat and water vapor
• The Need to Account for Water Resources Management in Climate Change Impact and Adaptation Studies
• Learning from Observations: The Case for a New Generation of Land Surface Models
• Informing Machine Learning Models with Hydrologic Theory: A Case Study in Land-Atmosphere Interactions
• Earth System Science Advances are Outpacing their Uptake for Informing Adaptation Actions: How can We do Better?
• Community modeling: supporting large-domain water resources modeling through an open-source model configuration toolbox
• Assessing the future climate resilience and complementarity of hydropower resources across the African power pools
• An updated vegetation dataset increases previous runoff projections in the Colorado River Basin
• 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)

Linked Co-Authors

• A. W. Wood
• Adi Stein
• Andrew Bennett
• Andrew J. Newman
• Chris Frans
• Christopher B. Marsh
• Christopher G. Nolte
• Constantine Samaras
• David G. Tarboton
• E. D. Gutmann
• Guillaume Mauger
• Guoqiang Tang
• H. Scott Matthews
• Hongli Liu
• John T. Abatzoglou
• Joseph Hamman
• L. Ruby Leung
• Louise Arnal
• Maoya Bassiouni
• Martyn P. Clark
• Nathalie Voisin
• Ning Sun
• Raymond J. Spiteri
• S. Papalexiou
• Shervan Gharari
• William Ryan Currier
• Wouter Knoben

Linked Collaborating Institutions

• Carnegie Mellon University, Pennsylvania
• Google Inc., California
• National Center for Atmospheric Research, Colorado
• National Oceanic and Atmospheric Administration, Boulder
• Pacific Northwest National Laboratory
• Swedish University of Agricultural Sciences
• University of Arizona
• University of California, Merced
• University of Saskatchewan, Canada
• University of Washington, Seattle
• Utah State University

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