The absorptive properties of dust aerosols largely determine the magnitude of their radiative impacts on the climate system. Currently, climate models use globally constant values of dust imaginary refractive index (IRI), a parameter describing the dust absorption efficiency of solar radiation, although it is highly variable. Here we show with model experiments that the dust-induced Indian summer monsoon (ISM) rainfall differences (with dust minus without dust) change from â'9% to 23% of long-Term climatology as the dust IRI is changed from zero to the highest values used in the current literature. A comparison of the model results with surface observations, satellite retrievals, and reanalysis data sets indicates that the dust IRI values used in most current climate models are too low, tending to significantly underestimate dust radiative impacts on the ISM system. This study highlights the necessity for developing a parameterization of dust IRI for climate studies.
|Original language||English (US)|
|State||Published - Jul 28 2016|
Bibliographical noteKAUST Repository Item: Exported on 2022-06-02
Acknowledgements: This work is funded by King Abdullah University of Science and Technology and the Jackson School of Geosciences. The authors thank Dr. Bing Pu for discussion of the results and suggestions, and Adam Papendieck for his proofreading.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
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