Application analysis of GDCSM-Argo in evaluating global ocean heat content

doi:10.3969/j.issn.1001-909X.2024.02.004

Abstract

Abstract:

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.

Key words: ocean heat content, GDCSM-Argo, space-time evolution, climate change

CLC Number:

P733.4

SU Han, CHUANG Ziwei, ZHANG Chunling. Application analysis of GDCSM-Argo in evaluating global ocean heat content[J]. Journal of Marine Sciences, 2024, 42(2): 40-54.

Figures/Tables 8

Fig.1 Spatial distribution of global climate ocean heat content and mean ocean heat content anomaly

Fig.2 Spatial distribution of global ocean heat content change rate and total ocean heat content change from 2004 to 2021

Fig.3 Time series of ocean heat content anomaly at different depths (a) and time series of temperature anomaly from 0 to 2 000 m (b) (Gray shading in figure a represents the range of triple standard deviations of the 0-2 000 m curve.)

Fig.4 Sections of global ocean heat content anomaly with time and depth at different depths (The dashed line represents the beginning year when the ocean heat content anomaly turned from negative to positive.)

Fig.5 Time series of zonal mean (a) and meridional mean (b) of the ocean heat content anomaly at 0-2 000 m from 2004 to 2021 (The solid black lines are the ENSO index of the Niño3.4.)

Fig.6 Correlation analysis of lead/lag relationship between ocean heat content anomaly and ocean heat content change tendency with abnormal climate

Fig.7 Temporal and spatial evolution characteristics of ocean heat contentat at different depths (The figure shows the average OHC from 2013 to 2021 minus the OHC from 2004 to 2012.)

Fig.8 Distribution of the ocean heat content anomaly influenced by the temperature anomaly at different depths during 2004—2012 and 2013—2021

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