Global sea-level budget and ocean-mass budget, with a focus on advanced data products and uncertainty characterisation

Abstract. Studies of the global sea-level budget (SLB) and ocean-mass (OMB) are essential to assess reliability our knowledge change its contributors. Here we present datasets for times series SLB OMB elements developed in framework ESA's Climate Change Initiative. We use these simultaneously, utilising a consistent uncertainty characterisation. The time series, given at monthly sampling available https://doi.org/10.5285/17c2ce31784048de93996275ee976fff (Horwath et al., 2021), include mean (GMSL) anomalies from satellite altimetry, steric component Argo drifter data with incorporation sea surface temperature data, Gravity Recovery Experiment (GRACE) gravimetry, contribution glacier mass changes assessed by model, Greenland Ice Sheet Antarctic radar altimetry GRACE, land water storage hydrological model WaterGAP (Water Global Assessment Prognosis). Over period January 1993–December 2016 (P1, covered records), rate (linear trend) GMSL is 3.05 ± 0.24 mm yr?1. 1.15 0.12 yr?1 (38 % trend), 1.75 (57 %). includes 0.64 0.03 (21 glaciers outside Antarctica, 0.60 0.04 (20 %) Greenland, 0.19 (6 0.32 0.10 (10 storage. In 2003–August (P2, GRACE system), rise higher than P1 3.64 0.26 This due an increase contributions, now about 2.40 0.13 (66 largest contributed while remained similar 1.19 0.17 (now 33 linear trends closed P2; that is, trend agrees sum components within their combined uncertainties. OMB, which can be evaluated only P2, shows preferred GRACE-based estimate contributions 1.5 or 0.8 1? uncertainties, depending on way assessing contributions. Combined uncertainties (1?) involved budgets between 0.29 0.42 yr?1, order 10 rise. Interannual variations overlie long-term coherently represented OMB. Even level also indicating possible origins remaining misclosures.