Articles | Volume 19, issue 2
https://doi.org/10.5194/os-19-321-2023
https://doi.org/10.5194/os-19-321-2023
Research article
 | 
23 Mar 2023
Research article |  | 23 Mar 2023

Revisiting the global mean ocean mass budget over 2005–2020

Anne Barnoud, Julia Pfeffer, Anny Cazenave, Robin Fraudeau, Victor Rousseau, and Michaël Ablain

Data sets

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

Climate Data Store, Sea level daily gridded data from satellite observations for the global ocean from 1993 to present Copernicus Climate Change Service https://doi.org/10.24381/cds.4c328c78

EN.4.2.2 data EN4 https://www.metoffice.gov.uk/hadobs/en4/

ISAS temperature and salinity gridded fields N. Kolodziejczyk https://doi.org/10.17882/52367

GSFC mascon monthy data B. D. Loomis, S. B. Luthcke, and T. J. Sabaka https://earth.gsfc.nasa.gov/geo/data/grace-mascons

The global water resources and use model WaterGAP v2.2d -- Standard model output H. Müller Schmied, D. Cáceres, S. Eisner, M. Flörke, C. Herbert, C. Niemann, T. A. Peiris, E. Popat, F. T. Portmann, R. Reinecke, S. Shadkam, T. Trautmann, and P. Döll https://doi.org/10.1594/PANGAEA.918447

NOAA Argo temperature and salinity data NOAA https://www.ncei.noaa.gov/ access/global-ocean-heat-content/

Monthly Mean Total Precipitable Water Data Set on a 1 degree grid made from Remote Sensing Systems Version-7 Microwave Radiometer Data Remote Sensing Systems https://www.remss.com

Antarctic and Greenland Ice Sheet mass balance 1992--2020 for IPCC AR6 (Version 1.0) A. Shepherd et al. https://doi.org/10.5285/77B64C55-7166-4A06-9DEF-2E400398E452

Roemmich-Gilson Argo climatology data Version 2019 SIO http://sioargo.ucsd.edu/RG_Climatology.html

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Short summary
The increase in ocean mass due to land ice melting is responsible for about two-thirds of the global mean sea level rise. The ocean mass variations are monitored by GRACE and GRACE Follow-On gravimetry satellites that faced instrumental issues over the last few years. In this work, we assess the robustness of these data by comparing the ocean mass gravimetry estimates to independent observations (other satellite observations, oceanographic measurements and land ice and water models).