Estimating changes in temperature extremes from millennial-scale climate simulations using generalized extreme value (GEV) distributions
Changes in extreme weather may produce some of the largest societal impacts of anthropogenic climate change. However, it is intrinsically difficult to estimate changes in extreme events from the short observational record. In this work we use millennial runs from the Community Climate System Model v...
Main Authors: | W. K. Huang, M. L. Stein, D. J. McInerney, S. Sun, E. J. Moyer |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-07-01
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Series: | Advances in Statistical Climatology, Meteorology and Oceanography |
Online Access: | http://www.adv-stat-clim-meteorol-oceanogr.net/2/79/2016/ascmo-2-79-2016.pdf |
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