Assessment of uncertainty in multi‐model means of downscaled South Florida precipitation for projected (2019–2099) climate-Reference-Cited by-同舟云学术

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Assessment of uncertainty in multi‐model means of downscaled South Florida precipitation for projected (2019–2099) climate

Published:2019-11-11 Issue:5 Volume:40 Page:2764-2777
ISSN:0899-8418
Container-title:International Journal of Climatology
language:en
Short-container-title:Int J Climatol

Author:

Infanti Johnna M.¹²³^ORCID,Kirtman Ben P.²,Aumen Nicholas G.⁴,Stamm John⁴,Polsky Colin³

Affiliation:

1. University Corporation for Atmospheric Research Boulder Colorado

2. Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine and Atmospheric Sciences University of Miami Miami Florida

3. Center for Environmental Studies Florida Atlantic University Davie Florida

4. U.S. Geological Survey Reston Virginia

Funder

National Oceanic and Atmospheric Administration

U.S. Geological Survey

Florida Atlantic University

University of Miami

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/joc.6365

Reference62 articles.

1. Reducing bias-corrected precipitation projection uncertainties: a Bayesian-based indicator-weighting approach

2. Predicting Ecological Responses of the Florida Everglades to Possible Future Climate Scenarios: Introduction

3. Significance of model credibility in estimating climate projection distributions for regional hydroclimatological risk assessments

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Future Climate Projections for South Florida: Improving the Accuracy of Air Temperature and Precipitation Extremes With a Hybrid Statistical Bias Correction Technique;Earth's Future;2024-08

2. Aligning Climate Models With Stakeholder Needs: Advances in Communicating Future Rainfall Uncertainties for South Florida Decision Makers;Earth and Space Science;2020-07

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