| Title | WRF-GC (v2.0): online two-way coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.7.2) for modeling regional atmospheric chemistry-meteorology interactions |
| Authors | Feng, Xu Lin, Haipeng Fu, Tzung-May Sulprizio, Melissa P. Zhuang, Jiawei Jacob, Daniel J. Tian, Heng Ma, Yaping Zhang, Lijuan Wang, Xiaolin Chen, Qi Han, Zhiwei |
| Affiliation | Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing, Peoples R China Harvard Univ, John A Paulson Sch Engn & Appl Sci, Cambridge, MA 02138 USA Southern Univ Sci & Technol, Sch Environm Sci & Engn, State Environm Protect Key Lab Integrated Surface, Shenzhen, Guangdong, Peoples R China Southern Univ Sci & Technol, Shenzhen Inst Sustainable Dev, Shenzhen, Guangdong, Peoples R China China Meteorol Adm, Natl Meteorol Informat Ctr, Beijing, Peoples R China Shanghai Cent Meteorol Observ, Shanghai, Peoples R China Peking Univ, Coll Environm Sci & Engn, State Key Joint Lab Environm Simulat & Pollut Con, Beijing, Peoples R China Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Temperate East Asia, Beijing, Peoples R China |
| Keywords | SINGLE-PARAMETER REPRESENTATION AIR-QUALITY MICROPHYSICAL PROPERTIES TROPOSPHERIC CHEMISTRY HYGROSCOPIC GROWTH TRANSPORT MODEL OPTICAL DEPTH AEROSOL SURFACE IMPACT |
| Issue Date | 23-Jun-2021 |
| Publisher | GEOSCIENTIFIC MODEL DEVELOPMENT |
| Abstract | We present the WRF-GC model v2.0, an online two-way coupling of the Weather Research and Forecasting (WRF) meteorological model (v3.9.1.1) and the GEOS-Chem model (v12.7.2). WRF-GC v2.0 is built on the modular framework of WRF-GC v1.0 and further includes aerosol-radiation interaction (ARI) and aerosol-cloud interaction (ACI) based on bulk aerosol mass and composition, as well as the capability to nest multiple domains for high-resolution simulations. WRF-GC v2.0 is the first implementation of the GEOS-Chem model in an open-source dynamic model with chemical feedbacks to meteorology. In WRFGC, meteorological and chemical calculations are performed on the exact same 3-D grid system; grid-scale advection of meteorological variables and chemical species uses the same transport scheme and time steps to ensure mass conservation. Prescribed size distributions are applied to the aerosol types simulated by GEOS-Chem to diagnose aerosol optical properties and activated cloud droplet numbers; the results are passed to the WRF model for radiative and cloud microphysics calculations. WRF-GC is computationally efficient and scalable to massively parallel architectures. We use WRF-GC v2.0 to conduct sensitivity simulations with different combinations of ARI and ACI over China during January 2015 and July 2016. Our sensitivity simulations show that including ARI and ACI improves the model's performance in simulating regional meteorology and air quality. WRF-GC generally reproduces the magnitudes and spatial variability of observed aerosol and cloud properties and surface meteorological variables over East Asia during January 2015 and July 2016, although WRF-GC consistently shows a low bias against observed aerosol optical depths over China. WRFGC simulations including both ARI and ACI reproduce the observed surface concentrations of PM2.5 in January 2015 (normalized mean bias of -9.3 %, spatial correlation r of 0.77) and afternoon ozone in July 2016 (normalized mean bias of 25.6 %, spatial correlation r of 0.56) over eastern China. WRF-GC v2.0 is open source and freely available from http://wrf.geos-chem.org (last access: 20 June 2021). |
| URI | http://hdl.handle.net/20.500.11897/618393 |
| ISSN | 1991-959X |
| DOI | 10.5194/gmd-14-3741-2021 |
| Indexed | SCI(E) |
| Appears in Collections: | 物理学院 环境科学与工程学院 环境模拟与污染控制国家重点联合实验室 |
