Recovery of the Carbon Monoxide Product from S5P-TROPOMI by Fusing Multiple Datasets: A Case Study in Hubei Province, China

Abstract

Tropospheric Monitoring Instrument (TROPOMI) carried onboard the Sentinel-5 Precursor (S5P) satellite could provide a daily global product of carbon monoxide (CO) total column at a high spatial resolution of $7^{\ast}7 \text{km}^{2}$ . However, data gaps exist in the TROPOMI CO product, which likely blocks the researches on the atmospheric CO. Therefore, a fusing method based on XGBoost is purposed in this study to recover the missing data in the TROPOMI CO product. The results show that the R and RMSE for the sample-based cross validation are 0.952 and 0.00303, respectively. It's believed that the proposed method could accurately predict the TROPOMI CO total column. Meanwhile, the spatial patterns of the daily predicted CO total column are similar to those of the TROPOMI. For temporal variations, the proposed method is able to mitigate the rapid fluctuations of the region-averaged TROPOMI CO total column in time series.