Model-based insights into aerosol perturbation on pristine continental convective precipitation
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Published:2023-04-14
Issue:7
Volume:23
Page:4545-4557
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Jiang Mengjiao, Li Yaoting, Hu Weiji, Yang Yinshan, Brasseur GuyORCID, Zhao XiORCID
Abstract
Abstract. The Tibetan Plateau (TP) is of great importance for weather and climate due
to its role as a heat and water resource. Relatively clean aerosol conditions
over the Plateau make the study on the aerosol–cloud–precipitation
interactions in this pristine continental region distinctive. In order to
investigate the impacts of aerosols on small-scale convection processes over
the TP, a convective event with precipitation observed on 24 July 2014 in
Naqu was selected to explore the influence of aerosols on the onset and
intensity of precipitation. We use the Modern-Era Retrospective analysis for
Research and Applications Version 2 (MERRA-2) reanalysis to derive the cloud
condensation nuclei (CCN) number concentration, which can be regarded as the
real-time background. These values are adopted to initialize the regional Weather Research Forecast (WRF) 4.0 meteorological model and to simulate the onset of convective events
and the formation of precipitation. Four sets of experiments, named clean
(1/10 CCN), control (default setting), Tibetan Plateau (CCN calculated
from MERRA-2 reanalysis), and polluted (10 times CCN), were adopted for our
simulations. A detailed analysis of the microphysical processes shows that
the conversion of cloud water into rain is enhanced by small increases in
aerosol concentration, while it is suppressed by larger increases in
concentration. However, the transformation of cloud water to graupel and the
development of convective clouds are favored under a polluted situation. As a
result, the onset of the precipitation is delayed and cold-rain intensity
increases.
Funder
Ministry of Science and Technology of the People's Republic of China National Natural Science Foundation of China China Scholarship Council
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference53 articles.
1. Andreae, M. O., Rosenfeld, D., Artaxo, P., Costa, A. A., Frank, G. P., Longo, K. M., and Silva-Dias, M. A. F,: Smoking rain clouds over the Amazon, Science, 303, 1337–1342, https://doi.org/10.1126/science.1092779, 2004. 2. Asher, E., Thornberry, T., Fahey, D. W., McComiskey, A., Carslaw, K., Grunau, S., Chang, K. L., Telg, H., Chen, P., and Gao, R. S.: A Novel Network-Based Approach to Determining Measurement Representation Error for Model Evaluation of Aerosol Microphysical Properties, J. Geophys. Res.-Atmos., 127, e2021JD035485, https://doi.org/10.1029/2021JD035485, 2022. 3. Cheng, X., Shi, Y., and Gao, W.: A Study of One Local-Scale Convective Precipitation Event Over Central Tibetan Plateau with Large Eddy Simulations, Earth and Space Science, 9, e2021EA001870, https://doi.org/10.1029/2021EA001870, 2022. 4. Chin, M., Ginoux, P., Kinne, S., Torres, O., Holben, B. N., Duncan, B. N., Martin, R. V., Logan, J. A., Higurashi, A., and Nakajima, T.: Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and Sun photometer measurements, J. Atmos. Sci., 59, 461–483, https://doi.org/10.1175/1520-0469(2002)059<0461:TAOTFT>2.0.CO;2, 2002. 5. Chin, M., Diehl, T., Tan, Q., Prospero, J. M., Kahn, R. A., Remer, L. A., Yu, H., Sayer, A. M., Bian, H., Geogdzhayev, I. V., Holben, B. N., Howell, S. G., Huebert, B. J., Hsu, N. C., Kim, D., Kucsera, T. L., Levy, R. C., Mishchenko, M. I., Pan, X., Quinn, P. K., Schuster, G. L., Streets, D. G., Strode, S. A., Torres, O., and Zhao, X.-P.: Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model, Atmos. Chem. Phys., 14, 3657–3690, https://doi.org/10.5194/acp-14-3657-2014, 2014.
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