Bias Correction of Hydrologic Projections Strongly Impacts Inferred Climate Vulnerabilities in Institutionally Complex Water Systems-Reference-Cited by-同舟云学术

Bias Correction of Hydrologic Projections Strongly Impacts Inferred Climate Vulnerabilities in Institutionally Complex Water Systems

Published:2022-01 Issue:1 Volume:148 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Malek Keyvan¹^ORCID,Reed Patrick²^ORCID,Zeff Harrison³,Hamilton Andrew⁴^ORCID,Wrzesien Melissa⁵^ORCID,Holtzman Natan⁶,Steinschneider Scott⁷,Herman Jonathan⁸^ORCID,Pavelsky Tamlin⁹

Affiliation:

1. Principal Data Scientist, Nutrien Ag Solutions, Champaign, IL (corresponding author). ORCID: .

2. Professor, Dept. of Civil and Environmental Engineering, Cornell Univ., Hollister Hall, 527 College Ave., Ithaca, NY 14853. ORCID:

3. Research Scientist, School of Global Public Health, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC.

4. Ph.D. Candidate and Research Assistant, School of Global Public Health, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC. ORCID:

5. Assistant Research Scientist, Hydrological Sciences Lab, NASA Goddard Space Flight Center, Greenbelt, MD 20771. ORCID:

6. Ph.D. Student, Dept. of Earth System Science, Stanford Univ., Stanford, CA 94305.

7. Assistant Professor, Dept. of Biological and Environmental Engineering, Cornell Univ., Hollister Hall, 527 College Ave., Ithaca, NY 14853.

8. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616. ORCID:

9. Professor, Dept. of Geological Sciences, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001493

Reference83 articles.

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5. Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication

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