Corrigendum
Citable URI
https://hdl.handle.net/1912/3982As published
https://doi.org/10.1175/2009JCLI3566.1DOI
10.1175/2009JCLI3566.1Keyword
Probability forecasts/models; Climate prediction; Anthropogenic effects; Numerical analysis/modeling; FeedbackAbstract
Corrigendum: Sokolov, A., and Coauthors, 2009: Probabilistic forecast for twenty-first-century climate based on uncertainties
in emissions (without policy) and climate parameters. J. Climate, 22, 5175–5204.
Description
Author Posting. © American Meteorological Society, 2010. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Climate 23 (2010): 2230–2231, doi:10.1175/2009JCLI3566.1.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Modeling for understanding v. modeling for numbers
(2016-11)I draw a distinction between Modeling for Numbers, which aims to address how much, when, and where questions, and Modeling for Understanding, which aims to address how and why questions. For-numbers models are often ... -
Application of an inverse model in the community modeling effort results
(Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1995-02)Inverse modeling activities in oceanography have recently been intensified, aided by the oncoming observational data stream of WOCE and the advance of computer power. However, interpretations of inverse model results ... -
Desert dust and anthropogenic aerosol interactions in the Community Climate System Model coupled-carbon-climate model
(Copernicus Publications on behalf of the European Geosciences Union, 2011-02-15)Coupled-carbon-climate simulations are an essential tool for predicting the impact of human activity onto the climate and biogeochemistry. Here we incorporate prognostic desert dust and anthropogenic aerosols into the ...
