Chemistry‐Weather Interacted Model System GRAPES_Meso5.1/CUACE CW V1.0: Development, Evaluation and Application in Better Haze/Fog Prediction in China

Abstract The Chinese Meteorology Administration chemistry model Unified Atmospheric Chemistry Environment (CUACE) is online integrated into the mesoscale operational numerical weather prediction (NWP) (GRAPES_Meso5.1) and aerosol‐cloud‐radiation interaction achieved to establish first version (V1) of chemistry‐weather (CW) interacted GRAPES‐Meso5.1/CUACE CW V1. most polluted winter 2016–2017 selected study meteorology impacts on haze/fog prediction, impact aerosol‐radiation, aerosol‐cloud (ARI, ACI, CWI) NWP. Single way without CWI displays reasonable PM 2.5 visibility in general. However, modeled peaks are underestimated valleys overestimated during pollution, underestimation relative humidity (RH) contributes major this misestimation; cut negative bias positive valleys. improvement 5 3 km low by severe period more obvious than that 10 km, which just compensates for largest deficiency related with single model; NWP including sea level pressures, RH, temperature, wind speed also improved from surface upper troposphere; ARI larger predicted ,visibility their contributions varies vertical height overlapping condition cloud aerosols. Due joint contribution RH , CWI's improving . This illustrates importance air quality model.