Improving global and regional ocean heat content by consistently combining GRACE gravity, satellite altimetry and Argo profile observations in a joint inversion framework

IF 13.6 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Bernd Uebbing,Kristin Vielberg,Roelof Rietbroek,Bene Aschenneller,Armin Köhl,Jürgen Kusche
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引用次数: 0

Abstract

The current energy imbalance at the top of atmosphere and corresponding heating of the Earth system is the main driver of steric sea level change through ocean heat uptake (OHU). A global constant heat capacity factor is commonly applied to retrieve ocean heat content (OHC) from observed ocean-average steric sea level. We propose an extension to this methodology, which focuses on the leading modes of steric variability, which are derived from an ocean model and fitted to GRACE gravity, satellite altimetry and in situ Argo observations within a joint inversion framework. These modes are utilized to obtain data driven OHC estimates by establishing a mapping between modeled OHC and steric sea level, and rescaling each mode individually based on observed steric sea level change. On global scales for the period January 2005 till December 2024, our OHU results (0.62 W m −2 ) agree well with a variety of published datasets from in situ Argo data, model reanalyses and space-geodetic approaches as well as independent estimates from the CERES project. At basin scales, we demonstrate the global OHU to be driven mainly by warming of the Pacific Ocean (0.23 W m −2 ), followed by contributions from the Indian (0.20 W m −2 ) and Atlantic (0.13 W m −2 ) oceans. Minor contributions are found from the Arctic Ocean (0.01 W m −2 ), the Southern Ocean (0.02 W m −2 ) and the residual ocean (0.03 W m −2 ). Our results also indicate a shift from dominant heating in the Indian Ocean driven by heat transport from the Pacific Ocean, e.g. found during 2005–2015, towards a more evenly distributed global ocean heat budget. Monthly gridded OHC data from our Grace, Altimetry and Argo Mode Rescaling (GAAMR) method together with corresponding error estimates is available from https://doi.org/10.1594/PANGAEA.994058 (Uebbing and Kusche, 2026).
通过在联合反演框架内持续结合GRACE重力、卫星测高和Argo剖面观测,改善全球和区域海洋热含量
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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