Progress and Application of Outgoing Longwave Radiation Dataset from Fengyun Satellites

Outgoing longwave radiation (OLR) at the top of the atmosphere (TOA) is a crucial parameter for understanding and interpreting the interactions between clouds, radiation, and climate. It has been one of the operational products of the Fengyun (FY) meteorological satellites. The accuracy of OLR has gradually improved due to advancements in satellite payload performance and the OLR retrieval algorithm. The Fengyun-3 (FY-3) satellite represents China's second generation of polar-orbiting meteorological satellites. Since the operational release of the OLR product from the FY-3A satellite in 2008, more than 17 years have passed. Throughout this time, the operational calibration and product retrieval algorithms have been continuously updated, resulting in variations in the accuracy of the operational products over different periods.

To address these inconsistencies, we conducted calibration consistency processing on the historical data from the Fengyun satellites and implemented a unified retrieval algorithm to reprocess the OLR products. This effort has led to the creation of a long-term dataset of outgoing longwave radiation from the top of the atmosphere for Fengyun satellites, covering the period from 2011 to the present. The dataset builds upon the original operational products and achieves multi-satellite consistency through the development of bias correction algorithms for inter-satellite discrepancies, as well as for correcting data biases caused by current orbital drifts. This dataset provides stable long-term support for climate services and scientific research, making it suitable for climate change monitoring and analysis. Furthermore, applications in monitoring climate events such as the Madden-Julian Oscillation (MJO) and the El Niño-Southern Oscillation (ENSO) are also explored.