Reference : Comparison between in situ and satellite surface temperature in the Western Mediterra...
Scientific congresses and symposiums : Unpublished conference
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/91805
Comparison between in situ and satellite surface temperature in the Western Mediterranean Sea
English
Alvera Azcarate, Aïda mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Barth, Alexander mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Troupin, Charles mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Beckers, Jean-Marie mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
6-May-2010
Yes
International
EGU General Assembly
from 02-05-2010 to 07-05-2010
European Geosciences Union
Vienna
Austria
[en] Satellite data ; In situ data ; Database comparison
[en] A comparison between satellite and in situ sea surface temperature (SST) data in the Western Mediterranean
Sea in 1999 is realised. The aim of this study is to better understand the differences between these two data
sets, in order to realise merged maps of SST using satellite and in situ data. When merging temperature from
different platforms, it is crucial to take the expected RMS error of the observations into account and to correct
for possible biases. Advanced Very High Resolution Radiometer (AVHRR) SST day-time and night-time satellite
data are used, and the in situ data have been obtained from various databases (World Ocean Database’05, Coriolis,
Medar/Medatlas and ICES). Statistics about the differences due to the hour of the day, the month of the year, the
type of sensor/platform used (CTD, XBT, drifter, etc) and the spatial distribution are made using a combination
of error measures, diagrams and statistical hypothesis testing. In addition to quantify the errors between different
platforms, several assumptions often made when creating gridded analyses will be critically reviewed: unbiased
data sets, non-correlated errors of the observations, spatially uniform variance, and Gaussian-distributed data.
Centre Interfacultaire de Recherches en Océanologie - MARE ; Geohydrodynamics and Environment Research - GHER
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
Researchers
http://hdl.handle.net/2268/91805

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