Assessment of the simulated aerosol optical properties and regional meteorology using WRF-Chem model

被引：6
作者：
Ali G. [1 ,2 ]
Bao Y. [1 ]
Asmerom B. [3 ,4 ]
Ullah W. [5 ]
Ullah S. [6 ]
Arshad M. [2 ,7 ]
机构：
[1] Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric physics, Nanjing University of Information Scien
[2] Pakistan Meteorological Department, Sector H-8/2, Islamabad
[3] Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster, Ministry of Education (KLME), International Joint Laboratory on Climate and Environment Change (ILCEC), Key Laboratory for Ae
[4] Department of Physics, Wollo University, P.O. Box 1145, Dessie
[5] Collaborative Innovation Center on Forecast, Evaluation of Meteorological Disasters (CIC-FEMD), School of Geographical Sciences, Nanjing University of Information Science and Technology (NUIST), Nanjing
[6] Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai
[7] School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing
来源：
Arabian Journal of Geosciences | 2021年 / 14卷 / 18期
关键词：
Aerosol; AOD; Atmospheric heating; Radiative forcing; Rainfall;
D O I：
10.1007/s12517-021-08238-1
中图分类号：
学科分类号：
摘要：
The Weather Research and Forecasting model coupled with chemistry (WRF-Chem) has been used to simulate aerosol optical properties and meteorological parameters including rainfall over Pakistan during July 2016. Two identical experiments are designed for simulation. The first one is based on WRF-Chem simulation with feedback from aerosols’ direct and indirect effects, whereas the second one does not include any aerosol effect. The robustness of the model simulations are examined against the data sets obtained from satellite- and ground-based observations. Different meteorological parameters, e.g. temperature, relative humidity, pressure, rainfall distribution, and aerosol optical properties, e.g. aerosol optical depth (AOD), aerosol extinction coefficient, and single scattering albedo (SSA), are simulated reasonably well. The magnitude and spatial distribution of AOD is simulated realistically over the study domain, particularly over eastern and northeastern parts with high aerosol burden due to natural and anthropogenic aerosols. The net atmospheric forcings due to both short waves (SW) and long waves (LW) and the resultant atmospheric heating simulated by the model are positive over the entire study domain with higher values over the northeastern part. It is shown that the rainfall magnitude is reduced by the inclusion of feedback from aerosol direct and indirect effects into the model simulation over different parts of the study area. © 2021, Saudi Society for Geosciences.
引用
收藏
相关论文
共 104 条
[11]  
Bibi S., Alam K., Chishtie F., Bibi H., Rahman S., Observations of black carbon aerosols characteristics over an urban environment: radiative forcing and related implications, Sci Total Environ, 603-604, pp. 319-329, (2017)
[12]  
Boiyo R., Kumar K.R., Zhao T., Optical, microphysical and radiative properties of aerosols over a tropical rural site in Kenya, East Africa: Source identification, modification and aerosol type discrimination, Atmos Environ, 177, pp. 234-252, (2018)
[13]  
Boiyo R., Kumar K.R., Zhao T., Guo J., A 10 - year record of aerosol optical properties and radiative forcing over three environmentally distinct AERONET sites in Kenya, East Africa, J of Geophysical Res Atmos, 124, pp. 1-22, (2019)
[14]  
Bollasina M.A., Ming Y., Ramaswamy V., Anthropogenic aerosols and the weakening of the South Asian summer monsoon, Science, 334, 80, pp. 502-505, (2011)
[15]  
Cazorla A.R.B., Relating aerosol absorption due to soot, organic carbon, and dust to emission sources determined from in-situ chemical measurements mixing state of the particles, Atmos Chem Phys, 13, pp. 9337-9350, (2013)
[16]  
Chakraborty A., Satheesh S.K., Nanjundiah R.S., Srinivasan J., Impact of absorbing aerosols on the simulation of climate over the Indian region in an atmospheric general circulation model, Ann Geophys, 22, pp. 1421-1434, (2004)
[17]  
Chen F., Dudhia J., Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part II: Preliminary Model Validation, Mon Weather Rev, 129, pp. 587-604, (2002)
[18]  
Cherian R., Venkataraman C., Quaas J., Ramachandran S., GCM simulations of anthropogenic aerosol-induced changes in aerosol extinction, atmospheric heating and precipitation over India, J Geophys Res Atmos, 118, pp. 2938-2955, (2013)
[19]  
Das S., Dey S., Dash S.K., Impacts of aerosols on dynamics of Indian summer monsoon using a regional climate model, Clim Dyn, 44, pp. 1685-1697, (2015)
[20]  
Dave P., Bhushan M., Venkataraman C., Aerosols cause intraseasonal short-term suppression of Indian monsoon rainfall, Sci Rep, 1-12, (2017)
12345678910