Neglecting Model Parametric Uncertainty Can Drastically Underestimate Flood Risks-Reference-Cited by-同舟云学术

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Neglecting Model Parametric Uncertainty Can Drastically Underestimate Flood Risks

Published:2023-01 Issue:1 Volume:11 Page:
ISSN:2328-4277
Container-title:Earth's Future
language:en
Short-container-title:Earth's Future

Author:

Sharma Sanjib¹^ORCID,Lee Benjamin Seiyon²,Hosseini‐Shakib Iman¹,Haran Murali³,Keller Klaus⁴^ORCID

Affiliation:

1. Earth and Environmental Systems Institute Pennsylvania State University University Park PA USA

2. Department of Statistics George Mason University Fairfax VA USA

3. Department of Statistics Pennsylvania State University University Park PA USA

4. Thayer School of Engineering at Dartmouth College Hanover NH USA

Funder

U.S. Department of Energy

Office of Science

Publisher

American Geophysical Union (AGU)

Subject

Earth and Planetary Sciences (miscellaneous),General Environmental Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022EF003050

Reference144 articles.

1. Global projections of river flood risk in a warmer world

2. Using SSURGO data to improve Sacramento Model a priori parameter estimates

3. A review of surrogate models and their application to groundwater modeling

4. Flood Fatalities in the United States

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1. Implementation of a dynamic specific leaf area (SLA) into a land surface model (LSM) incorporated crop-growth model;Computers and Electronics in Agriculture;2023-10

2. Estimating atmospheric motion winds from satellite image data using space‐time drift models;Environmetrics;2023-07-06

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