Application analysis of GDCSM-Argo in evaluating global ocean heat content
The ocean heat content is one of the most critical and stable indicators of the global climate change research.It's systematic and accurate evaluation depends on the ocean internal observation of long time series and global coverage.Based on a global multi-parameter reanalysis data set(gradient dependent correlation scale method Argo,GDCSM-Argo)as well as the trend analysis,spatiotemporal series analysis and delayed regression analysis,the spatiotemporal evolution of global ocean heat content was investigated,and the relationship between ocean heat content change and the abnormal climate during 2004-2021 were discussed.The results showed that the global ocean heat content of 0-2 000 m had increased with different levels since 2004,with a increment of more than 2×108 J/m2.After 2013,the deep sea(700-2 000 m)had shown a continuous warming trend.The warming of all depths ranging from 0 to 2000 m was intensified after 2017.The temperature anomaly of 700 m made a prominent contribution to the overall change of the ocean heat content.The tropical eastern Pacific Ocean accumulated heat before El Niño,lost heat and distributed heat to the north and south during/after El Niño in order to offset the accumulated heat from earlier stages.The warming range extended to the north and south of the equator.The positive peak of heat content anomaly in the tropical Pacific Ocean preceded the ENSO(El Niño-Southern Oscillation)index by about 0-1 month.All of the results indicate that GDCSM-Argo will be able to provide more detailed of the ocean heat content evolution.
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