EGU24-10543, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-10543
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Evaluation of MERRA-2 reanalysis for Sulfur dioxide aerosol in China

Abdallah Shaheen1, Robabeh Yousefi1, Fang Wang1, Quansheng Ge1, and Renguang Wu2
Abdallah Shaheen et al.
  • 1University of Chinese Academy of sciences , Institute of Geographic Sciences and Natural Resources Research, Beijing, China
  • 2School of Earth Sciences, Zhejiang University, Hangzhou, China

Considering the uncertainty of the reanalysis data is essential, the uncertainty of Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) SO2 concentration still is lacking. In this talk, we evaluated the MERRA-2 SO2 concentrations in China. Monthly SO2 concentrations from 100 ground observation during the years 2015-2021 were used to evaluate the monthly MERRA-2 SO2 data. Our results showed that the MERRA-2 SO2 concentrations exhibit a moderate Pearson correlation coefficient (R) with ground-based SO2 measurements (R = 0.62). In terms of root-mean square error (RMSE) and mean absolute error (MAE), biases (≤ 10 μg m-3) were found mainly for extensive regions (about 70%) of the Chinese sites. According to the results, the relative mean bias (RMB) and fractional gross error (FGE) showed values greater than 1 and 0, respectively, in the eastern China, which indicates that MERRA-2 overestimates the SO2 measurements in the urban regions, while underestimation of MERRA-2 SO2 was found in rural regions of China. A parameterized method could be suggested to improve the quality of MERRA-2 SO2

How to cite: Shaheen, A., Yousefi, R., Wang, F., Ge, Q., and Wu, R.: Evaluation of MERRA-2 reanalysis for Sulfur dioxide aerosol in China, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10543, https://doi.org/10.5194/egusphere-egu24-10543, 2024.

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