Post-processing Altimeter Data Towards Coastal Applications and Integration into Coastal Models

  • L. Roblou
  • J. Lamouroux
  • J. Bouffard
  • F. Lyard
  • M. Le Hénaff
  • A. Lombard
  • P. Marsaleix
  • P. De Mey
  • F. Birol
Chapter

Abstract

Altimetry missions in the last 16 years (TOPEX/Poseidon, ERS-1/2, GFO, Jason-1 and ENVISAT) and the recently-launched Jason-2 mission have resulted in great advances in deep ocean research and operational oceanography. However, oceanographic applications using satellite altimeter data have become very challenging over regions extending from near-shore to the continental shelf and slope (Cipollini et al. 2008). In these regions, intrinsic difficulties in the corrections (e.g., the high frequency ocean response to tidal and atmospheric loading, the mean sea level, etc.) and issues of land contamination in the radar altimeter and radiometer footprints result in systematic flagging and rejection of these data. Forthcoming altimeter missions (SARAL/AltiKa, SWOT, Sentinel-3, etc.) are designed to be better-suited for use in the coastal ocean. However, a number of studies have dealt with the problem of re-analysing, improving and exploiting the existing archive to monitor coastal dynamics. The early encouraging results (Vignudelli et al. 2005; Bouffard et al. 2008, Birol et al. submitted J Mar Syst 2009) support the need for continued research in coastal altimetry, with the opportunity of providing input and recommendations for future missions.

This chapter reviews the current status of the X-TRACK processing application (Roblou et al. 2007), whose objectives are to improve both the quantity and quality of altimeter sea surface height (SSH) estimates in coastal regions by reprocessing a posteriori (the standard Geophysical Data Records) (GDR) as delivered by operational centres, i.e. by improving the post-processing stage. Latest improvements on along-track spatial resolution (high rate data streams and removal of large-scale errors) that promise improved monitoring of coastal dynamics are also detailed. In addition, with a view to integrating coastal-oriented altimeter datasets into models for coastal ocean state analysis, methodologies for matching models with observations are discussed.

Keywords

Coastal altimetry Data correction retrieval Data editing Post-processing Regional de-aliasing Synergy with coastal models 

Abbreviations

ALBICOCCA

ALtimeter-Based Investigations in COrsica, Capraia and Contiguous Areas

ASI

Agenzia Spaziale Italiana

AVISO

Archivage, Validation et Interprétation des données des Satellites Océanographiques

CLS

Collecte Localisation Satellites

CNES

Centre National d’Études Spatiales

COASTALT

ESA development of COASTal ALTimetry

CTOH

Centre de Topographie des Océans et de l’Hydrosphère

DUACS

Data Unification and Altimeter Combination System

ENVISAT

ENVIronmental SATellite

ESA

European Space Agency

EU

European Union

FES

Finite Element Solution

GDR

Geophysical data record

GEOSAT

GEodetic & Oceanographic SATellite

GFO

GEOSAT Follow-On

GMES

Global Monitoring for Environment and Security

GOCE

Gravity field and steady-state Ocean Circulation Explorer

GODAE

Global Ocean Data Assimilation Experiment

GOT

Global Ocean Tide

IB

Inverted Barometer

IMBER

Integrated Marine Biogeochemistry and Ecosystem Research

LA

Laboratoire d’Aérologie

LEGOS

Laboratoire d’Études en Géophysique et Océanographie Spatiales

LPC

Liguro-Provençal-Catalan

LSER

Large-scale error reduction

MARINA

MARgin INtegrated Approach

MDT

Mean dynamic topography

MERSEA

Marine Environment and Security for the European Area

MFSTEP

Mediterranean Forecasting System Toward Environmental Prediction

Mog2D

Modèle d’Ondes de Gravité 2D

MSS

Mean Sea Surface

NWMED

North-Western MEDiterranean

OGCM

Ocean General Circulation Model

OSTST

Ocean Surface Topography Science Team

PISTACH

Prototype Innovant de Système de Traitement pour l’Altimétrie Côtière et l’Hydrologie

SARAL

Satellite with ARgos and ALtika

SLA

Sea Level Anomaly

SSALTO

Segment Sol multimissions d’ALTimétrie, d’Orbitographie et de locali-sation précise

SSH

Sea Surface Height

SST

Sea Surface Temperature

SVD

Singular Value Decomposition

SWOT

Surface Water and Ocean Topography

TOPEX

TOPography EXperiment

TOSCA

Terre, Ocean, Surfaces Continentales, Atmosphère

T-UGOm

Toulouse Unstructured Grid Ocean Model

UNESCO

United Nations Educational, Scientific and Cultural Organization

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • L. Roblou
    • 1
    • 2
  • J. Lamouroux
    • 4
  • J. Bouffard
    • 5
  • F. Lyard
    • 1
    • 2
  • M. Le Hénaff
    • 1
    • 2
  • A. Lombard
    • 6
  • P. Marsaleix
    • 1
    • 2
    • 3
  • P. De Mey
    • 1
    • 2
  • F. Birol
    • 1
    • 2
  1. 1.Laboratoire d’Etudes en Géophysique et Océanographie Spatiales (LEGOS), UPS (OMP-PCA)Université de ToulouseToulouseFrance
  2. 2.LEGOSCNRSToulouseFrance
  3. 3.Laboratoire d’Aérologie (LA)CNRSToulouseFrance
  4. 4.NOVELTIS SARamonville-Saint-AgneFrance
  5. 5.Institut Mediterrani d’Estudis AvançatsEsporlesSpain
  6. 6.Centre National d’Études Spatiales (CNES)ToulouseFrance

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