| EUMETSAT

Candidate Locations for Copernicus Ocean Colour System Vicarious Calibration Infrastructure

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Study into five candidate locations for optimal placement for potential OC-SVC infrastructure.

Characterisation of candidate OC-SVC sites - El Hierro

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Climatological characterisation of candidate ocean sites for Copernicus OC-SVC infrastructure - El Hierro.

Characterisation of candidate OC-SVC sites - Crete

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Climatological characterisation of candidate ocean sites for Copernicus OC-SVC infrastructure - Crete.

Characterisation of candidate OC-SVC sites - BOUSSOLE

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Climatological characterisation of candidate ocean sites for Copernicus OC-SVC infrastructure - BOUSSOLE.

Characterisation of candidate OC-SVC sites - Madeira

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Climatological characterisation of candidate ocean sites for Copernicus OC-SVC infrastructure - Madeira.

Characterisation of candidate OC-SVC sites - Lampedusa

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Climatological characterisation of candidate ocean sites for Copernicus OC-SVC infrastructure - Lampedusa.

Supporting Marine Earth Observation Applications

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Supporting Marine Earth Observation Applications course held online, 31 October-25 November 2022.

S6VT: Sentinel-6 Validation Team Meeting

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The Sentinel-6 Validation Team (S6VT#4) 4th Meeting will be fully virtual on WebEx on 11-13 July 2022.

The focus of this forth meeting is on the reprocessed Sentinel-6 products (AMR-C, Poseidon-4, Low and Hight Resolution), their performances, stability, and applicability to climate studies. You are also invited to present operational applications and other cal/val activities.

EUMETSAT to explore new artificial intelligence approaches

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EUMETSAT’s new strategy focuses on artificial intelligence approaches.

EUMETSAT maps out its plans to make best scientific use of satellite data

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The EUMETSAT Council, meeting in Amsterdam, today adopted three new, or updated, roadmaps for scientific development of marine and meteorological pathfinders, of wind products and of aerosol products derived by satellite instruments. It also adopted a roadmap for the use of artificial intelligence and machine learning to improve weather prediction.

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