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DOI | 10.1016/j.atmosenv.2021.118832 |
Impact of meteorological parameterization schemes on CTM model simulations | |
Srivastava N.; Blond N. | |
发表日期 | 2022 |
ISSN | 1352-2310 |
卷号 | 268 |
英文摘要 | Meteorology plays a key role in regional aerosol concentration and distribution. Microphysics and cloud formation processes in the atmosphere is interlinked with aerosol and their removal processes. To characterize their role in modulating the aerosols/pollutants concentration simulation by a chemical transport model (CTM, here we have taken CHIMERE model); we have performed this study with different microphysical (MP) schemes (Kessler Scheme/Lin Scheme/WRF single Moment 3-class (WSM3) scheme) and cumulus cloud parameterization (CU) schemes (Kain-Fritsch Scheme/Betts-Miller-Janjic Scheme/Grell 3D) of Weather Research and Forecasting Model (WRF). We have used the WRF model over a domain (3°S-41.8°N; 59.5°-102.5°E) with the resolution of (0.25° × 0.25°) while CHIMERE model simulations are performed over the domain (6°-37.5°N; 67°-95.5°E) with the similar resolution for a selected period of monsoon. In total nine combinations are framed with MP and CU schemes to observe the sensitivity of CTM to these schemes. Simulated results are compared with the satellite (TRMM/MODIS) and reanalysis data (MERRA-2) to appraise the model's performance with various parameterization scheme combinations. Results indicate that despite the same initial and boundary conditions and model configuration, notable differences occurred in the simulated meteorological parameters with different scheme combinations. Results suggested that CTM performed in a reliable range with cumulus scheme Betts-Miller-Janjic Scheme (BMJ) and Grell 3D scheme with microphysical parameterization scheme Purdue Lin Scheme over Indian continent. The study also suggests that a single set may not produce good results for all the parameters/pollutants; thus, we have to choose the parameterization schemes which give optimal results for all the parameters/pollutants. These results also infer that ensemble modeling could also lead to a better option than using single simulations. © 2021 Elsevier Ltd |
关键词 | AerosolsChemical transport modelCumulus parameterization schemeMicrophysics parameterization schemesSensitivity studyWRF |
语种 | 英语 |
scopus关键词 | Clouds; Parameterization; Weather forecasting; Aerosol distribution; Chemical transport models; Cloud parameterizations; Cumulus parameterization schemes; Microphysic parameterization scheme; Microphysics parameterization; Modeling simulation; Parameterization schemes; Sensitivity studies; Weather research and forecasting models; Aerosols; aerosol; boundary condition; cloud microphysics; concentration (composition); cumulus; parameterization; pollutant; simulation; aerosol; article; forecasting; meteorology; pollutant; simulation; weather; Acronicta leporina |
来源期刊 | ATMOSPHERIC ENVIRONMENT |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/248139 |
作者单位 | Department of Physics, Birla Institute of Technology, Mesra, Ranchi, 835215, India; Laboratoire Image Ville Environnement, UMR 7362, CNRS/UDS, 3, rue de l'ArgonneStrasbourg 67000, France |
推荐引用方式 GB/T 7714 | Srivastava N.,Blond N.. Impact of meteorological parameterization schemes on CTM model simulations[J],2022,268. |
APA | Srivastava N.,&Blond N..(2022).Impact of meteorological parameterization schemes on CTM model simulations.ATMOSPHERIC ENVIRONMENT,268. |
MLA | Srivastava N.,et al."Impact of meteorological parameterization schemes on CTM model simulations".ATMOSPHERIC ENVIRONMENT 268(2022). |
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