Ocean-surface optical parameters: reflectances

Advanced Along-Track Scanning Radiometer multimission data have been reprocessed to provide update retrievals of Sea Surface Temperature (SST) to produce the AATSR Reprocessing for Climate (ARC) dataset.

Barystatic and manometric sea level changes represent the mass component of sea level changes at global and regional scales respectively. Barystatic and manometric sea level changes are estimated here using the satellite gravimetry measurements from the GRACE and GRACE-FO missions. Two products are distributed over the April 2002 to August 2022 period: - Barystatic sea level changes from satellite gravimetry with uncertainties at 1-sigma: monthly time series, - Manometric sea level changes from satellite gravimetry with uncertainties at 1-sigma: monthly grids with 1x1 degree.

Ssalto/Duacs multimission gridded sea surface heights products. From January 1993 to the last extension of the Delayed-time products, the long delayed-time dataset allows to compute statistical means of Maps of Sea Level Anomalies (MSLA) over different periods of time. Computed with respect to a twenty-year mean profile [1993-2012], and including the seasonal variability (no annual cycle is removed).

Eddies detected in Delayed-Time (DT) for the entire period [1993 - present]. Variables provided include day-by-day, and for one rotation type (Cyclonic/Anticyclonic) : - Center position (Longitude and latitude of the center of the best fit circle with the contour of maximum circum-average geostrophic speed); - Amplitude (|SSH(local_extremum) – SSH(outermost_contour)|); - Speed radius (Radius of the best fit circle with the contour of maximum circum-average geostrophic speed); - Speed average (Average geostrophic speed of the contour defining the speed radius); - Speed profile (Profile speed average values from effective contour inwards to smallest inner contour); - Effective contour (Largest contour of the detected eddy); - Speed contour (Contour of maximum circum-average geostrophic speed for the detected eddy).

Along-track altimetric GDR (Geophysical Data Record) products , geophysical and environmental corrections to apply. Available missions are: GFO, Topex/Poseidon, Envisat, Cryosat-2, Jason-1, Jason-2, Jason-3, Saral/AltiKa. Missions with several successive orbital types are treated in their entirety. Compared to the original version of the GDR files distributed by the CNES, ESA, NASA and ISRO agencies, the CTOH proposes new corrections and parameters in these files, which are to be applied to the initial altimetry measurement, according to user needs. Children metadata files are available for each mission.

Eddies detected in Delayed-Time (DT) for the entire period [1993 - present]. Variables provided include day-by-day, and for one rotation type (Cyclonic/Anticyclonic) : - Center position (Longitude and latitude of the center of the best fit circle with the contour of maximum circum-average geostrophic speed); - Amplitude (|SSH(local_extremum) – SSH(outermost_contour)|); - Speed radius (Radius of the best fit circle with the contour of maximum circum-average geostrophic speed); - Speed average (Average geostrophic speed of the contour defining the speed radius); - Speed profile (Profile speed average values from effective contour inwards to smallest inner contour); - Effective contour (Largest contour of the detected eddy); - Speed contour (Contour of maximum circum-average geostrophic speed for the detected eddy).

Monomission altimeter product: OSTM/Jason-2. These products were produced by CLS in the framework of the Pistach project, funded by Cnes.

Multimission altimetry-derived gridded from Ssalto/Duacs products backward-in-time Finite Size Lyapunov Exponents and Orientations of associated eigenvectors

The global mean level of the oceans is one of the most important indicators of climate change. It incorporates the reactions from several different components of the climate system. Precise monitoring of changes in the mean level of the oceans, particularly through the use of altimetry satellites, is vitally important, for understanding not just the climate but also the socioeconomic consequences of any rise in sea level.