New network of virtual altimetry stations for measuring sea level along the world coastlines

DOI

Until recently, classical radar altimetry could not provide reliable sea level data  within 10 km to the coast. However dedicated reprocessing of radar waveform  together with geophysical corrections adapted for the coastal regions now allows  to fill this gap at a large number of coastal sites. In the context of the Climate Change Initiative Sea Level project of the European Space Agency, we have recently performed a complete reprocessing of high resolution (20 Hz, i.e., 350m)  along-track altimetry data of the Jason-1, Jason-2 and Jason-3 missions over  January 2002 to June 2021 along the coastal zones of Northeast Atlantic,  Mediterranean Sea, whole African continent, North Indian Ocean, Southeast Asia,  Australia and North and South America. This reprocessing has provided valid sea  level data in the 0-20 km band from the coast. A total of 1189 altimetry-based  virtual coastal stations have been selected and sea level anomalies time series  together with associated coastal sea level trends have been computed over the study time span. In the coastal regions devoid from tide gauges  (e.g., African coastlines), these virtual stations offer a unique tool for estimating  sea level change close to the coast (typically up to 3 km to the coast but in many  instances up to 1 km or even closer). Results show that at most of the virtual  stations, the rate of sea level rise at the coast is similar to the rate offshore (15 km away from the coast). However, at some stations, the sea level rate in the last 3-4 km to the coast is either faster or slower than offshore.

Identifier
DOI https://doi.org/10.17882/74354
Metadata Access http://www.seanoe.org/oai/OAIHandler?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:seanoe.org:74354
Provenance
Creator Cazenave, Anny; Gouzenes, Yvan; Lancelot, Leclercq; Birol, Florence; Legér, Fabien; Passaro, Marcello; Calafat, Francisco M; Shaw, Andrew; Niño, Fernando; Legeais, Jean François; Oelsmann, Julius; Benveniste, Jérôme
Publisher SEANOE
Publication Year 2024
Rights CC-BY
OpenAccess true
Contact SEANOE
Representation
Resource Type Dataset
Discipline Marine Science