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Article

Online-Coupled Aerosol Effects on Cloud Microphysics and Surface Solar Irradiance in WRF-Solar

1
State Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
4
Key Laboratory for Middle Atmosphere and Global Environment Observation (LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
5
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100081, China
6
School of Automation and Information Engineering, Sichuan University of Science & Engineering, Yibin 644005, China
7
Intelligent Perception and Control Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Yibin 644005, China
8
Meteorological Observation Center of China Meteorological Administration, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(16), 2829; https://doi.org/10.3390/rs17162829
Submission received: 1 July 2025 / Revised: 8 August 2025 / Accepted: 8 August 2025 / Published: 14 August 2025

Abstract

The online coupling of aerosols and clouds and its effect on surface global horizontal irradiance (GHI) has not yet been thoroughly investigated in the Weather Research and Forecasting Model with Solar extensions (WRF-Solar), despite its potential significance for solar energy applications. This study addresses this critical gap by implementing a computationally efficient, coupled aerosol–cloud scheme and evaluating its impacts on GHI predictability. Simulations with online aerosol–cloud coupling are systematically compared to uncoupled simulations during March 2021, a period marked by two distinct pollution episodes over north China. The online coupling enhances aerosol optical depth (AOD) simulations, increasing the correlation coefficient from 0.19 to 0.51 while reducing the absolute bias from 0.54 to 0.48 and root mean square error from 0.82 to 0.72, compared to uncoupled simulations. Enhanced cloud microphysics (droplet concentration, water path) yields better cloud optical depth estimates, reducing all-sky GHI bias by 14.5% (63.5 W/m2 for the uncoupled scenario and 54.3 W/m2 for the coupled scenario) through improved aerosol–cloud–meteorology interactions. Notably, the simultaneous spatiotemporal improvement of both AOD and GHI suggests enhanced internal consistency in aerosol–cloud–radiation interactions, which is crucial for operational solar irradiance forecasting in pollution-prone regions. The results also highlight the practical value of incorporating online aerosol coupling in solar forecasting models.
Keywords: aerosol-cloud interactions; WRF-Chem-Solar; global horizontal irradiance aerosol-cloud interactions; WRF-Chem-Solar; global horizontal irradiance

Share and Cite

MDPI and ACS Style

Wang, S.; Huang, G.; Dai, T.; Xia, X.; Husi, L.; Ma, R.; Li, C. Online-Coupled Aerosol Effects on Cloud Microphysics and Surface Solar Irradiance in WRF-Solar. Remote Sens. 2025, 17, 2829. https://doi.org/10.3390/rs17162829

AMA Style

Wang S, Huang G, Dai T, Xia X, Husi L, Ma R, Li C. Online-Coupled Aerosol Effects on Cloud Microphysics and Surface Solar Irradiance in WRF-Solar. Remote Sensing. 2025; 17(16):2829. https://doi.org/10.3390/rs17162829

Chicago/Turabian Style

Wang, Su, Gang Huang, Tie Dai, Xiang’ao Xia, Letu Husi, Run Ma, and Cuina Li. 2025. "Online-Coupled Aerosol Effects on Cloud Microphysics and Surface Solar Irradiance in WRF-Solar" Remote Sensing 17, no. 16: 2829. https://doi.org/10.3390/rs17162829

APA Style

Wang, S., Huang, G., Dai, T., Xia, X., Husi, L., Ma, R., & Li, C. (2025). Online-Coupled Aerosol Effects on Cloud Microphysics and Surface Solar Irradiance in WRF-Solar. Remote Sensing, 17(16), 2829. https://doi.org/10.3390/rs17162829

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