FN Archimer Export Format
PT DATASET
TI New network of virtual altimetry stations for measuring sea level along the world coastlines
BT 
AF Cazenave, Anny
   Gouzenes, Yvan
   Birol, Florence
   Legér, Fabien
   Passaro, Marcello
   Calafat, Francisco M
   Shaw, Andrew
   Niño, Fernando
   Legeais, Jean François
   Oelsmann, Julius
   Benveniste, Jérôme
AS 1:1;2:1;3:1;4:1;5:2;6:3;7:4;8:1;9:5;10:2;11:6;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;
C1 LEGOS, Toulouse, France
   Technical University of Munich, Munich, Germany
   NOCS, Southampton, UK
   SKYMAT Ltd., Southampton, UK
   CLS, Ramonville-Saint-Agne, France
   European Space Agency (ESA-ESRIN), Frascati, Italy
C2 LEGOS, Toulouse, France
   Technical University of Munich, Munich, Germany
   NOCS, Southampton, UK
   SKYMAT Ltd., Southampton, UK
   CLS, Ramonville-Saint-Agne, France
   European Space Agency (ESA-ESRIN), Frascati, Italy
DT Dataset
DE ;Satellite altimetry;coastal sea level;coastal sea level trends
AB 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 December 2019 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 756 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 about 80% 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). In the remaining 20%, the sea level rate in the  last 3-4 km to the coast is either faster or slower than offshore.   
PY 2022
PD FEB
DI 10.17882/74354
ID 74354
ER

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