DocumentCode :
2202253
Title :
Ocean Colour Climate Change Initiative — Approach and initial results
Author :
Sathyendranath, Shubha ; Brewin, Bob ; Mueller, Dagmar ; Doerffer, Roland ; Krasemann, Hajo ; Mélin, Frédéric ; Brockmann, Carsten ; Fomferra, Norman ; Peters, Marco ; Grant, Mike ; Steinmetz, Francois ; Deschamps, Pierre-Yves ; Swinton, John ; Smyth, Tim
Author_Institution :
Plymouth Marine Lab., Plymouth, UK
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
2024
Lastpage :
2027
Abstract :
The Ocean-Colour Climate-Change Initiative (OC-CCI) aims to create a long-term, consistent, error-characterised time series of ocean-colour products, for use in climate change studies. Climate Change Initiative is a programme of the European Space Agency devoted to using satellites to generate climate quality time series data of Essential Climate Variables (ECVs) identified by the Global Climate Observing System (GCOS). Within the ocean colour CCI project, a user consultation was undertaken, targeting both the climate modelling community and the Earth Observation community. Taking the user requirements into account, a set of criteria was developed, for selecting the best ocean-colour algorithms for climate research. Candidate atmospheric correction algorithms and in water algorithms have been submitted to a round robin comparison. The overall best performers are being used to generate test products, to be evaluated further.
Keywords :
climatology; oceanographic techniques; time series; Earth Observation community; European Space Agency; Global Climate Observing System; atmospheric correction algorithms; climate modelling community; climate quality time series data; essential climate variables; long-term consistent error-characterised time series; ocean colour CCI project; ocean colour climate change initiative; ocean-colour algorithms; ocean-colour products; water algorithms; Algorithm design and analysis; Atmospheric modeling; Biological system modeling; Europe; Image color analysis; Meteorology; Oceans; MERIS; MODIS Aqua; SeaWiFS; chlorophyll concentration; climate change initiative; essential climate variables; inherent optical properties; ocean colour; water-leaving radiances;
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.2012.6350979
Filename :
6350979
Link To Document :
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