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Coastal sea level anomalies and associated trends from Jason satellite altimetry over 2002–2018

Authors :
Habib B. Dieng
Marcello Passaro
Jean François Legeais
Yvan Gouzenes
Anny Cazenave
Jérôme Benveniste
Fabien Léger
Andy Shaw
Fernando Niño
Christian Schwatke
Florence Birol
Francisco M. Calafat
Deutsches Geodätisches Forschungsinstitut (DGFI-TUM)
Source :
Scientific Data, Vol 7, Iss 1, Pp 1-17 (2020), Scientific Data
Publication Year :
2020
Publisher :
Nature Publishing Group, 2020.

Abstract

Climate-related sea level changes in the world coastal zones result from the superposition of the global mean rise due to ocean warming and land ice melt, regional changes caused by non-uniform ocean thermal expansion and salinity changes, and by the solid Earth response to current water mass redistribution and associated gravity change, plus small-scale coastal processes (e.g., shelf currents, wind & waves changes, fresh water input from rivers, etc.). So far, satellite altimetry has provided global gridded sea level time series up to 10–15 km to the coast only, preventing estimation of sea level changes very close to the coast. Here we present a 16-year-long (June 2002 to May 2018), high-resolution (20-Hz), along-track sea level dataset at monthly interval, together with associated sea level trends, at 429 coastal sites in six regions (Northeast Atlantic, Mediterranean Sea, Western Africa, North Indian Ocean, Southeast Asia and Australia). This new coastal sea level product is based on complete reprocessing of raw radar altimetry waveforms from the Jason-1, Jason-2 and Jason-3 missions.<br />Measurement(s) coastal sea level changes Technology Type(s) satellite imaging of a planet • computational modeling technique Factor Type(s) year of data collection Sample Characteristic - Environment coastal sea water • sea coast • ocean Sample Characteristic - Location Northeast Atlantic Ocean • Mediterranean Sea • West Africa • North Indian Ocean • Southeast Asia • Australia Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12999596

Details

Language :
English
ISSN :
20524463
Volume :
7
Issue :
1
Database :
OpenAIRE
Journal :
Scientific Data
Accession number :
edsair.doi.dedup.....ddd424ff95a52063300bd1aceff70c31
Full Text :
https://doi.org/10.1038/s41597-020-00694-w