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Get Free Access. Ocean observational gridded products are vital for climate monitoring, ocean and climate research, model evaluation, and supporting climate mitigation and adaptation measures. This paper describes the 4th version of the Institute of Atmospheric Physics (IAPv4) ocean temperature and ocean heat content (OHC) objective analysis product. It accounts for recent developments in quality control (QC) procedures, climatology, bias correction, vertical and horizontal interpolation, and mapping and is available for the upper 6000 m (119 levels) since 1940 (more reliable after ~1957) for monthly and 1° × 1° temporal and spatial resolutions. The IAPv4 is compared with the previous version, IAPv3, and to the other data products, sea surface temperatures (SSTs), and satellite observations. It has a slightly stronger long-term upper 2000 m OHC increase than IAPv3 for 1955–2023, mainly because of newly developed bias corrections. IAPv4 OHC 0–2000 m trend is also higher during 2005–2023 than IAPv3. The first level of IAPv4 is consistent with independent SST datasets. The month-to-month OHC variability for IAPv4 is desirably less than IAPv3 and other OHC products investigated in this study; annual variations are consistent with the net energy imbalance at the top of the atmosphere, and the sea level budget can be closed within uncertainty. The gridded product is freely accessible at: http://dx.doi.org/10.12157/IOCAS.20240117.002 for temperature data (Cheng et al., 2024a) and http://dx.doi.org/10.12157/IOCAS.20240117.001 for ocean heat content data (Cheng et al., 2024b).
Lijing Cheng, Yuying Pan, Zhetao Tan, Huayi Zheng, Yujing Zhu, Wangxu Wei, Juan Du, Huifeng Yuan, Guancheng Li, Hanlin Ye, Viktor Gouretski, Yuanlong Li, Kevin E Trenberth, John Abraham, Yuchun Jin, Franco Reseghetti, Xiaopei Lin, Bing Zhang, Gengxin Chen, Michael Mann, Jiang Zhu (2024). IAPv4 ocean temperature and ocean heat content gridded dataset. , DOI: 10.5194/essd-2024-42.
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Type
Preprint
Year
2024
Authors
21
Datasets
0
Total Files
0
Language
English
DOI
10.5194/essd-2024-42
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