17:15 〜 19:15
[ACG40-P10] SST Analysis and Operational Forecast of Marine Heat Waves in Offshore China
キーワード：SST, fusion analysis, MHWs
Sea surface temperature (SST) is the most extensively distributed and widely utilized parameter in marine science. SST observations are derived from a series of means and sources. However, the application of SST data obtained through various observation methods has also posed certain inconveniences. To streamline operations, there are over 20 global SST fusion product datasets, with nearly 10 in operational use. The question remains: which one is the best, and which is the most suitable for China's marginal seas? Additionally, it's worth exploring whether a variety of in - situ observations in China's offshore areas can be incorporated into operational applications.
Against this backdrop, based on simple optimal interpolation, we have developed a set of fusion analysis data products with a horizontal resolution of 1/4 degree. This product demonstrates distinct advantages over other similar ones in the context of China's marginal seas. This SST dataset can be more effectively applied in our numerical forecasting systems, artificial intelligence (AI) - based forecast systems, and marine heatwave (MHW) warning operations.
Marine heatwaves (MHWs) are significantly altering global ecosystems and exerting profound socio - economic impacts. Nevertheless, our understanding of the spatial features, temporal evolution characteristics, and regional disparities within China's marginal seas is still inadequate. In this study, we systematically analyze the spatio - temporal variation characteristics of MHWs in terms of frequency, mean intensity, maximum intensity, cumulative intensity, duration, and total days. The analysis is based on daily sea surface temperature data from the Operational Sea Surface Temperature and Ice Analysis (OSTIA) covering the period from 1983 to 2020. MHWs are classified into four categories: moderate, strong, severe, and extreme. Since 2024, the National Marine Environmental Forecasting Center (NMEFC) has been releasing MHW forecasting and pre - warning products for China Coastal Sea and Adjacent Offshore Waters to the public.
Against this backdrop, based on simple optimal interpolation, we have developed a set of fusion analysis data products with a horizontal resolution of 1/4 degree. This product demonstrates distinct advantages over other similar ones in the context of China's marginal seas. This SST dataset can be more effectively applied in our numerical forecasting systems, artificial intelligence (AI) - based forecast systems, and marine heatwave (MHW) warning operations.
Marine heatwaves (MHWs) are significantly altering global ecosystems and exerting profound socio - economic impacts. Nevertheless, our understanding of the spatial features, temporal evolution characteristics, and regional disparities within China's marginal seas is still inadequate. In this study, we systematically analyze the spatio - temporal variation characteristics of MHWs in terms of frequency, mean intensity, maximum intensity, cumulative intensity, duration, and total days. The analysis is based on daily sea surface temperature data from the Operational Sea Surface Temperature and Ice Analysis (OSTIA) covering the period from 1983 to 2020. MHWs are classified into four categories: moderate, strong, severe, and extreme. Since 2024, the National Marine Environmental Forecasting Center (NMEFC) has been releasing MHW forecasting and pre - warning products for China Coastal Sea and Adjacent Offshore Waters to the public.