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
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
[1]  
Ackermann I.J., Hass H., Memmesheimer M., Ebel A., Binkowski F.S., Shankar U., Modal aerosol dynamics model for Europe, Atmos Environ, 32, pp. 2981-2999, (2002)
[2]  
Adesina A.J., Kumar K.R., Sivakumar V., Variability in aerosol optical properties and radiative forcing over Gorongosa (18.97oS, 34.35oE) in Mozambique, Meteorog Atmos Phys, 127, pp. 217-228, (2015)
[3]  
Alam K., Qureshi S., Blaschke T., Monitoring spatio-temporal aerosol patterns over Pakistan based on MODIS, TOMS and MISR satellite data and a HYSPLIT model, Atmos Environ, 45, pp. 4641-4651, (2011)
[4]  
Alam K., Trautmann T., Blaschke T., Majid H., Aerosol optical and radiative properties during summer and winter seasons over Lahore and Karachi, Atmos Environ, 50, pp. 234-245, (2012)
[5]  
Ali G., Bao Y., Boiyo R., Tang W., Lu Q., Min J., Evaluating MODIS and MISR aerosol optical depth retrievals over environmentally distinct sites in Pakistan, J Atmos Solar-Terrestrial Phys, 183, pp. 19-35, (2019)
[6]  
An W.J., Pathak R.K., Lee B.H., Pandis S.N., Aerosol volatility measurement using an improved thermodenuder: application to secondary organic aerosol, J Aerosol Sci, 38, pp. 305-314, (2007)
[7]  
Angstrom A., Techniques of determining the turbidity of the atmosphere, Tellus A, 13, pp. 214-223, (1961)
[8]  
Bao Y., Zhu L., Guan Q., Guan Y., Lu Q., Petropoulos G.P., Che H., Ali G., Dong Y., Tang Z., Gu Y., Assessing the impact of Chinese FY-3/MERSI AOD data assimilation on air quality forecasts: sand dust events in northeast China, Atmos Environ, 205, pp. 78-89, (2019)
[9]  
Bibi H., Alam K., Bibi S., Estimation of shortwave direct aerosol radiative forcing at four locations on the Indo-Gangetic plains: Model results and ground measurement, Atmos Environ, 163, pp. 166-181, (2017)
[10]  
Bibi S., Alam K., Chishtie F., Bibi H., Characterization of absorbing aerosol types using ground and satellites based observations over an urban environment, Atmos Environ, 150, pp. 126-135, (2017)