2022
DOI: 10.3390/rs14236090
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Spatial and Temporal Variations in Spring Dust Concentrations from 2000 to 2020 in China: Simulations with WRF-Chem

Abstract: Dust emitted from arid and semi-arid areas of China is a main contributor to the global atmospheric aerosols. However, the long-term spatial and temporal variations in dust concentrations in China is still unknown. Here, we simulated the spatial and temporal variations in spring dust concentrations in China from 2000 to 2020 using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem). The results showed that the configured WRF-Chem model in this study reproduced the spatial patterns and … Show more

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Cited by 5 publications
(2 citation statements)
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“…In this paper, data from 413 meteorological stations nationwide in spring 2000-2020 and 219 pollution monitoring stations in the northern region in spring 2015-2020 were used. The simulation of AOD was evaluated in a previous study [37]. The accuracy of the WRF-Chem model for each climatic conditions simulation was evaluated based on the root mean square error (RMSE), normalized mean deviation (NMB), mean deviation (MB), correlation coefficient (R) and normalized mean error (NME) [38].…”
Section: Model Performance Evaluationmentioning
confidence: 99%
“…In this paper, data from 413 meteorological stations nationwide in spring 2000-2020 and 219 pollution monitoring stations in the northern region in spring 2015-2020 were used. The simulation of AOD was evaluated in a previous study [37]. The accuracy of the WRF-Chem model for each climatic conditions simulation was evaluated based on the root mean square error (RMSE), normalized mean deviation (NMB), mean deviation (MB), correlation coefficient (R) and normalized mean error (NME) [38].…”
Section: Model Performance Evaluationmentioning
confidence: 99%
“…Dust is one of the main contributors to the atmospheric aerosols (Wang, Wang, et al, 2022). It has been estimated that the annual mean mineral dust emitted from the land surface into the atmosphere is approximately 2000 Mt, and it can travel thousands of kilometers (Shao et al, 2011).…”
Section: Introductionmentioning
confidence: 99%