Articles | Volume 16, issue 8
https://doi.org/10.5194/essd-16-3517-2024
https://doi.org/10.5194/essd-16-3517-2024
Data description paper
 | 
02 Aug 2024
Data description paper |  | 02 Aug 2024

IAPv4 ocean temperature and ocean heat content gridded dataset

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, Bin Zhang, Gengxin Chen, Michael E. Mann, and Jiang Zhu

Data sets

IAPv4 ocean temperature gridded dataset Lijing Cheng, Zhetao Tan, Yuying Pan, Huayi Zheng, Yujing Zhu, Wangxu Wei, Juan Du, Guancheng Li, Hanlin Ye, and Viktor Gourteski https://doi.org/10.12157/IOCAS.20240117.002

IAPv4 ocean heat content gridded dataset Lijing Cheng, Zhetao Tan, Yuying Pan, Huayi Zheng, Yujing Zhu, Wangxu Wei, Juan Du, Guancheng Li, Hanlin Ye, and Viktor Gourteski https://doi.org/10.12157/IOCAS.20240117.001

Heat stored in the Earth system 1960--2020: Where does the energy go? K. von Schuckmann et al. https://hdl.handle.net/21.14106/279f535efb48324f4f604bb390f74deadf268812

Argo float data and metadata from Global Data Assembly Centre (Argo GDAC) Argo https://doi.org/10.17882/42182

Reconstructions of the radiation fluxes at the top of atmosphere and net surface energy flux: DEEP-C version 5.0 C. Liu and R. Allan https://doi.org/10.17864/1947.000347

The causes of sea level rise since 1900 (https://zenodo.org/records/3862995) T. Frederikse et al. https://doi.org/10.1038/s41586-020-2591-3

EN4: Quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates (https://www.metoffice.gov.uk/hadobs/en4/index.html) S. A. Good et al. https://doi.org/10.1002/2013jc009067

Centennial-Scale Sea Surface Temperature Analysis and Its Uncertainty (https://psl.noaa.gov/data/gridded/data.cobe2.html) S. Hirahara et al. https://doi.org/10.1175/JCLI-D-12-00837.1

Extended Reconstructed Sea Surface Temperature, Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons (https://www1.ncdc.noaa.gov/pub/data/cmb/ersst/v5/netcdf/) B. Huang et al. https://doi.org/10.1175/JCLI-D-16-0836.1

Accuracy of Global Upper Ocean Heat Content Estimation Expected from Present Observational Data Sets (https://www.data.jma.go.jp/gmd/kaiyou/english/ohc/ohc_global_en.html) M. Ishii et al. https://doi.org/10.2151/sola.2017-030

World ocean heat content and thermosteric sea level change (0-2000 m) (https://www.ncei.noaa.gov/products/) S. Levitus et al. https://doi.org/10.1029/2012GL051106

Development of a global gridded Argo data set with Barnes successive corrections (https://argo.ucsd.edu/data/argo-data-products/) H. Li et al. https://doi.org/10.1002/2016JC012285

Satellite and Ocean Data Reveal Marked Increase in Earth's Heating Rate (https://asdc.larc.nasa.gov/project/CERES) N. G. Loeb et al. https://doi.org/10.1029/2021gl093047

Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century (https://www.metoffice.gov.uk/hadobs/hadisst/) N. A. Rayner et al. https://doi.org/10.1029/2002JD002670

The 2004-2008 mean and annual cycle of temperature, salinity, and steric height in the global ocean from the Argo Program (http://sio-argo.ucsd.edu/RG_Climatology.html) D. Roemmich and J. Gilson https://doi.org/10.1016/j.pocean.2009.03.004

Improved methods for observing Earth's time variable mass distribution with GRACE using spherical cap mascons (https://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons/) M. M. Watkins et al. https://doi.org/10.1002/2014JB011547

Model code and software

IAP ocean data bias correction techniques (XBT, MBT, APB, Bottle) Lijing Cheng http://www.ocean.iap.ac.cn/pages/dataService/dataService.html?navAnchor=dataService

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Short summary
Observational gridded products are essential for understanding the ocean, the atmosphere, and climate change; they support policy decisions and socioeconomic developments. This study provides an update of an ocean subsurface temperature and ocean heat content gridded product, named the IAPv4 data product, which is available for the upper 6000 m (119 levels) since 1940 (more reliable after ~1955) for monthly and 1° × 1° temporal and spatial resolutions.
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