Reference : Error assessment of sea surface temperature satellite data relative to in situ data: ...
Scientific congresses and symposiums : Unpublished conference
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/91802
Error assessment of sea surface temperature satellite data relative to in situ data: effect of spatial and temporal coverage
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) >]
30-Apr-2010
Yes
International
42nd International Liège Colloquium on Ocean Dynamics
from 26-04-2010 to 30-04-2010
[en] Satellite data ; In situ data ; Error assessment
[en] A comparison between satellite and in situ sea surface temperature (SST) data in
the Western Mediterranean Sea in 1999 is shown. The aim of this study is to better understand
the differences between these two data sets, in order to compute 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. Different in situ data sensors and platforms (CTD, XBT, drifter, etc)
are available for the comparison, each with specificities in the nature of the measurement
(accuracy and precision of the measures), and with different spatial and temporal distributions.
A comparison with satellite data needs to take these factors into account. Statistics
about the differences due to the hour of the day, the month of the year, the type of sensor/
platform used and the spatial distribution is therefore realised through a combination
of error measures, diagrams and statistical hypothesis testing. The data used are Advanced
Very High Resolution Radiometer (AVHRR) SST day-time and night-time satellite data,
and in situ temperature data from various databases (World Ocean Database’05, Coriolis,
Medar/Medatlas and ICES).
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/2268/91802

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