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Aerosol Indirect Effects on the Predicted Precipitation in a Global Weather Forecasting Model

Korea Institute of Atmospheric Prediction Systems, Seoul 07071, Korea
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Atmosphere 2019, 10(7), 392; https://doi.org/10.3390/atmos10070392
Received: 23 May 2019 / Revised: 2 July 2019 / Accepted: 9 July 2019 / Published: 12 July 2019
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Abstract

Aerosol indirect effects on precipitation were investigated in this study using a Global/Regional Integrated Model system (GRIMs) linked with a chemistry package devised for reducing the heavy computational burden occurring in common atmosphere–chemistry coupling models. The chemistry package was based on the Goddard Chemistry Aerosol Radiation and Transport scheme of Weather Research and Forecasting with Chemistry (WRF-Chem), and five tracers that are relatively important for cloud condensation nuclei (CCN) formation were treated as prognostic variables. For coupling with the cloud physics processes in the GRIMs, the CCN number concentrations derived from the simplified chemistry package were utilized in the cumulus parameterization scheme (CPS) and the microphysics scheme (MPS). The simulated CCN number concentrations were higher than those used in original cloud physics schemes and, overall, the amount of incoming shortwave radiation reaching the ground was indirectly reduced by an increase in clouds owing to a high CCN. The amount of heavier precipitation increased over the tropics owing to the inclusion of enhanced riming effects under deep precipitating convection. The trend regarding the changes in non-convective precipitation was mixed depending on the atmospheric conditions. The increase in small-size cloud water owing to a suppressed autoconversion led to a reduction in precipitation. More precipitation can occur when ice particles fall under high CCN conditions owing to the accretion of cloud water by snow and graupel, along with their melting. View Full-Text
Keywords: simplified chemistry package; aerosol indirect effect; numerical weather prediction simplified chemistry package; aerosol indirect effect; numerical weather prediction
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Kang, J.-Y.; Bae, S.Y.; Park, R.-S.; Han, J.-Y. Aerosol Indirect Effects on the Predicted Precipitation in a Global Weather Forecasting Model. Atmosphere 2019, 10, 392.

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