Articles | Volume 18, issue 16
https://doi.org/10.5194/acp-18-12491-2018
https://doi.org/10.5194/acp-18-12491-2018
Research article
 | 
29 Aug 2018
Research article |  | 29 Aug 2018

How reliable are CMIP5 models in simulating dust optical depth?

Bing Pu and Paul Ginoux

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Cited articles

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Short summary
Biases in dust modeling may result in biases in simulating energy budget and regional climate. Output of seven Coupled Model Intercomparison Project Phase 5 (CMIP5) models is examined. Seasonal cycle and spatial pattern of dust optical depth (DOD) in very dusty regions are largely captured by multi-model mean. But observed connections between DOD and local controlling factors such as bareness are not well represented. Future projections by CMIP5 models and a regression model are also analyzed.
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