DocumentCode
576127
Title
Multi-resolution data assimilation for missing data interpolation in geophysical sequences
Author
Ba, Sileye ; Chapron, Bertrand ; Fablet, Ronan
Author_Institution
Lab.-STICC, Univ. Eur. de Bretagne, Plouzane, France
fYear
2012
fDate
22-27 July 2012
Firstpage
1010
Lastpage
1013
Abstract
To evaluate the proposed model we used SST and SSS observations. High resolution SST observations are taken from the METOP dataset and corresponding low resolution observations from the REMSS database. High and low resolution SSS observations are taken from the ESA/SMOS (European Space Agency/Soil Moisture and Ocean Salinity) database.
Keywords
data assimilation; geophysical image processing; ocean temperature; oceanographic techniques; ESA/SMOS database; European Space Agency/Soil Moisture and Ocean Salinity; METOP dataset; REMSS database; geophysical sequences; high resolution SSS observations; high resolution SST observations; low resolution SSS observations; missing data interpolation; multiresolution data assimilation; Data assimilation; Data models; Image resolution; Interpolation; Ocean temperature; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351231
Filename
6351231
Link To Document