English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Based on the sea level budget closure approach, this study investigates theresiduals between observed global mean sea level (GMSL) and the sum ofcomponents (steric sea level and ocean mass) for the period January 2005 toDecember 2013. The objective is to identify the impact of errors in one orseveral components of the sea level budget on the residual time series. Thisis a key issue if we want to constrain missing contributions such as thecontribution to sea level rise from the deep ocean (depths not covered byobservations). For that purpose, we use several data sets as processed bydifferent groups: six altimetry products for the GMSL, four Argo productsplus the ORAS4 ocean reanalysis for the steric sea level and threeGRACE-based ocean mass products. We find that over the study time span, theobserved differences in trend of the residuals of the sea level budgetequation can be as large as ~ 0.55 mm yr<sup>−1</sup> (i.e.,~ 17 % of the observed GMSL rate of rise). These trend differencesessentially result from differences in trends of the GMSL time series. Usingthe ORAS4 reanalysis (providing complete geographical coverage of the stericsea level component), we also show that lack of Argo data in the Indonesianregion leads to an overestimate of the absolute value of the residual trendby about 0.25 mm yr<sup>−1</sup>. Accounting for this regional contribution leadsto closure of the sea level budget, at least for some GMSL products. At shorttimescales (from sub-seasonal to interannual), residual anomalies aresignificantly correlated with ocean mass and steric sea level anomalies(depending on the time span), suggesting that the residual anomalies arerelated to errors in both GRACE-based ocean mass and Argo-based steric data.Efforts are needed to reduce these various sources of errors before using thesea level budget approach to estimate missing contributions such as the deepocean heat content

Sea level budget over 2005–2013: missing contributions and data errors