Abstract. Geostrophic current data near the coast of the Red Sea have large gaps.
Hence, the sea level anomaly (SLA) data from Jason-2 have been reprocessed and
extended towards the coast of the Red Sea and merged with AVISO data at the
offshore region. This processing has been applied to build a gridded dataset
to achieve the best results for the SLA and geostrophic current. The results
obtained from the new extended data at the coast are more consistent with the
observed data (conductivity–temperature–depth, CTD) and hence geostrophic current calculation. The patterns
of SLA distribution and geostrophic currents are divided into two seasons:
winter (October–May) and summer (June–September). The geostrophic currents
in summer are flowing southward over the Red Sea except for narrow
northward flow along the east coast. In winter, currents flow to the north
for the entire Red Sea except for a small southward flow near the central
eastern and western coast. This flow is modified by the presence of cyclonic
and anticyclonic eddies, which are more concentrated in the central and
northern Red Sea. The results show anticyclonic eddies (AEs) on the eastern
side of the Red Sea and cyclonic eddies (CEs) on the western side during
winter. In summer, cyclonic eddies are more dominant for the entire Red Sea.
The result shows a change in some eddies from anticyclonic during winter to
cyclonic during summer in the north between 26.3 and 27.5∘ N.
Furthermore, the life span of cyclonic eddies is longer than that of
anticyclonic eddies.
An improved Fourier series model (FSM01) method is used in geophysical and environmental corrections to enhance the final product of the along-track Jason-2 sea level anomaly (SLA) data and extend it near the Red Sea borders. In this study, the ionospheric correction range, wet tropospheric correction range, sea state bias correction range, and dry tropospheric correction range are enhanced and improved using FSM01, which helped to retrieve three more tracks (106, 170, and 234) earlier neglected by the distribution centers and extend the tracks toward the coast. The FSM01 SLA is compared with Jason-2 SLA and Archiving Validation and Interpretation of Satellite Oceanographic (AVISO) SLA for the available five tracks, in which the FSM01 SLA shows a good agreement and higher correlation with the Jason-2 SLA compared with that of AVISO, in addition to filling the gaps in the times series of all tracks. The newly retrieved tracks are also compared with those retrieved by AVISO, and both data points show similar variability, with FSM01 SLA showing no gaps in the time series. The FSM01 SLA was also extended toward the coast and showed high correlation with the coastal tide measurements.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.