Jing Li, Ralph A. Kahn, Jing Wei, Barbara E. Carlson, Andrew A. Lacis, Zhanqing Li, Xichen Li, Oleg Dubovik, Teruyuki Nakajima
Satellite‐ and ground‐based remote sensing are two widely used techniques to measure aerosol properties. However, neither is perfect in that satellite retrievals suffer from various sources of uncertainties, and ground observations have limited spatial coverage. In this study, focusing on improving estimates of aerosol information on large scale, we develop a data synergy technique based on the ensemble Kalman filter (EnKF) to effectively combine these two types of measurements and yield a monthly me…
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