Characterizing and understanding systematic biases in the vertical structure of clouds in CMIP5/CFMIP2 models-Reference-Cited by-同舟云学术

Characterizing and understanding systematic biases in the vertical structure of clouds in CMIP5/CFMIP2 models

Published:2016-10-15 Issue:19 Volume:43 Page:10,538-10,546
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys. Res. Lett.

Author:

Cesana G.¹,Waliser D. E.¹

Affiliation:

1. Jet Propulsion Laboratory; California Institute of Technology; Pasadena California USA

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016GL070515/fullpdf

Reference39 articles.

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3. Shallowness of tropical low clouds as a predictor of climate models' response to warming;Brient;Clim. Dyn.,2015

4. How well do climate models simulate cloud vertical structure? A comparison between CALIPSO-GOCCP satellite observations and CMIP5 models;Cesana;Geophys. Res. Lett.,2012

5. Evaluation of the cloud water phase in a climate model using CALIPSO-GOCCP;Cesana;J. Geophys. Res. Atmos.,2013

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