Global daily high-resolution surface carbon monoxide concentrations (2019-2020)

A brand-new framework is developed to estimate daily globally distributed surface carbon monoxide (CO) concentrations (2019-2020) at a high spatial resolution (0.05º) through data-driven fusion. Evaluation results (historical) show that the proposed framework presents a desired estimation accuracy over the globe, with the Rs/RMSEs of 0.73/0.273 ppm and 0.77/0.215 ppm at daily and monthly scales, respectively. Compared to GEOS Composition Forecasting replay CO product, the proposed framework also performs distinctly better, of which the R increases by 0.4 and RMSE decreases by 0.185 ppm. This dataset will be open-access after the related paper is accepted.

Related Organizations

Wuhan University
China (People's Republic of)

Keywords

High spatial resolution, Global surface CO, Data-driven fusion, Daily

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