Development of Chemistry-Weather Fully Interacted Model System GRAPES_Meso5.1/CUACE CW v1.0 and Its Application in Better Air Quality Forecasting in China

The updated Chinese Unified Atmospheric Chemistry Environment (CUACE) model is driven by the operational mesoscale version of Global/Regional Assimilation and PrEdiction System (GRAPES_Meso 5.1) developed by China Meteorological Administration (CMA) to build the single way online atmosphere chemical model GRAPES-Meso v5.1/CUACE. Based on this, the aerosol-cloud-radiation interaction and its’ feedback on numerical weather prediction (NWP) is achieved leading to chemistry-weather interaction in GRAPES-Meso v5.1/CUACE and the first version t(v 1.) of double way model GRAPES-Meso v5.1/CUACE CW v1 is established in this study, which is used in the in Better Air Quality Forecasting in China

 The cloud condensation nuclei (CCN) number concentration activated from aerosols is crucial for understanding aerosol indirect effects and characterizing these effects in models. Morrison two moment cloud microphysical scheme combine with a size-resolved CCN parameterization scheme based on situ measurements of aerosol activation properties in China in implemented in meso-scale atmospheric chemical model GRAPES_CUACE to study the aerosols effects on cloud macro, micro features and radiation process under heavy polluted condition in East China.