Graphical Abstract

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Ito, K., 2022: Bias in near-real-time global sea surface temperature analysis of Japan Meteorological Agency associated with tropical cyclone passages in western North Pacific. J. Meteor. Soc. Japan, 100, 321 - 341.
https://doi.org/10.2151/jmsj.2022-016
Graphical Abstract Published

Plain Language Summary: The near-real-time merged satellite and in-situ data global sea surface temperature (SST) of the Japan Meteorological Agency (hereafter, R-MGD) is subjected to the exceeding filtering of short-time-scale fluctuations. Therefore, the rapid SST change due to the passage of tropical cyclones (TCs) causes biases. The issue can be alleviated by putting more weight on the observations within 72 h.

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Highlights:

• Bias in R-MGD associated with the passage of TCs is qualitatively analyzed.
• Statistically significant biases range between -1 day and 4 days for positive biases and between +7 days and +14 days for negative biases within 500 km relative to the TC approach. The magnitude of positive SST biases is largely associated with cold subsurface water and intense TCs.
• The issue can be alleviated by putting more weight on the observations within 72 h through additional optimal interpolation. It also impacts on the intensity forecast of a succeeding TC.