Using FY-3 remote sensing to monitor the evolution of El Niño events

Wanjiao Song; Tao Lian; Peng Zhang; Ling Sun

doi:10.1117/12.2628235

26 October 2022 Using FY-3 remote sensing to monitor the evolution of El Niño events

Wanjiao Song, Tao Lian, Peng Zhang, Ling Sun

Proceedings Volume 12267, Image and Signal Processing for Remote Sensing XXVIII; 122670X (2022) https://doi.org/10.1117/12.2628235
Event: SPIE Remote Sensing, 2022, Berlin, Germany

Conference Poster

Abstract

Global outgoing longwave radiation variation is examined for a 6-year (2014-2019) period using reanalysis and FengYun 3B/3C OLR products: the interpolated OLR analyses and the visible and infrared radiometer OLR on FengYun 3 series satellite platforms. Tropical Pacific and Niño key regions are essential range for monitoring El Niño events, which are chosen to investigate the spatial-temporal correlation, seasonal evolution and statistical difference with a variety source of OLR anomalies. Results indicate that monthly OLR anomalies can monitor the Niño variation. OLR anomalies are associated with enhanced amplitude in the EP El Niño, while OLR anomalies exhibit stronger intensity than the CP El Niño index. For FengYun 3B/3C the monthly satellite products have a root mean squared error of 10.94 W/m² and 12.73 W/m² as compared for the interpolated OLR products.

Citation Download Citation

Wanjiao Song, Tao Lian, Peng Zhang, and Ling Sun "Using FY-3 remote sensing to monitor the evolution of El Niño events", Proc. SPIE 12267, Image and Signal Processing for Remote Sensing XXVIII, 122670X (26 October 2022); https://doi.org/10.1117/12.2628235

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