FN Archimer Export Format
PT J
TI Toward science-oriented validations of coastal altimetry: Application to the Ligurian Sea
BT 
AF Meloni, M.
   Bouffard, J.
   Doglioli, A.M.
   Petrenko, A.A.
   Valladeau, G.
AS 1:1;2:2;3:3;4:3;5:4;
FF 1:;2:;3:;4:;5:;
C1 Serco, Via Sciadonna n.24, Frascati, Italy
   ESA (European Space Agency), Earth Observation Directorate, Via Galileo Galilei, 2–00044 Frascati, Italy
   Aix Marseille Univ., Université de Toulon, CNRS, IRD, MIO UM 110, 13288, Marseille, France
   CLS (Collecte Localisation Satellites), 11 Rue Hermes, 31520 Ramonville-Saint-Agne, France
C2 SERCO, ITALY
   ESA, ITALY
   UNIV AIX MARSEILLE, FRANCE
   CLS, FRANCE
IF 9.085
TC 7
UR https://archimer.ifremer.fr/doc/00482/59395/85209.pdf
LA English
DT Article
CR OSCAHR
BO Téthys II
DE ;Coastal altimetry;Mesoscale;Validation and verification;Northern current
AB This study is a preliminary contribution to the European Space Agency's efforts aimed at establishing reference in situ networks specifically targeted to validate coastal altimetry. For this purpose, we processed and cross-compared conjointly improved altimetry data and in situ measurements acquired over the Ligurian Sea – a coastal region of the Mediterranean characterised by complex, fine-scale and rapidly evolving oceanic features. We made use of several kinds of multi-sensor in situ observations located along SARAL and Jason-2 tracks. The main objectives of the study were to assess improved coastal oriented validation strategies, including the usage of a new in situ platform (Moving Vessel Profiler), while better understanding potential differences owing to physical content inconsistency and instrumental or data processing limitations. The results show remarkable agreements over spatial scales of few tens of kilometres, paving the way for the deployment of future in situ networks and the definition of science-oriented diagnostics targeted to assess the capability of present and future high-resolution altimetric missions in resolving small-scale physical features. 
PY 2019
PD APR
SO Remote Sensing Of Environment
SN 0034-4257
PU Elsevier BV
VL 224
UT 000462421200020
BP 275
EP 288
DI 10.1016/j.rse.2019.01.028
ID 59395
ER

EF