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(Effects on daily and monthly averages)
(Validation against A-Train observations)
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== Validation against A-Train observations ==
== Validation against A-Train observations ==
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some pictures and conclusions here
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Following diagram shows the comparison of the cloud height against measurements from CALIOP and CPR.<br>
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<center>
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[[File:CTH_validation_Atrain.jpg|400px|Validation of the Cloud top height with A-train measurements]]
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</center>
== Calculation of meaningful Level 3 product ==
== Calculation of meaningful Level 3 product ==
In the third workshop CREW3 in November 2011, another field of investigation is added to the present fields of investigations. We will analyse how to calculate temporal averages of cloud properties (daily and monthly). The effects of different level 2 datasets and of different level 2 to level 3 algorithms will be investigated. In addition the propagation of the uncertainty will be analysed.
In the third workshop CREW3 in November 2011, another field of investigation is added to the present fields of investigations. We will analyse how to calculate temporal averages of cloud properties (daily and monthly). The effects of different level 2 datasets and of different level 2 to level 3 algorithms will be investigated. In addition the propagation of the uncertainty will be analysed.

Revision as of 16:37, 31 March 2011

Results from the inter-comparison

The first workshop CREW-1 concentrated on the inter-comparion of SEVIRI algorithms

Cloud mask of 3 retrieval algorithms

Up to now a detailed analysis was done for cloud mask and cloud top height. In future a detailed analysis of all available parameters is planed.

Validation against A-Train observations

Following diagram shows the comparison of the cloud height against measurements from CALIOP and CPR.

Validation of the Cloud top height with A-train measurements

Calculation of meaningful Level 3 product

In the third workshop CREW3 in November 2011, another field of investigation is added to the present fields of investigations. We will analyse how to calculate temporal averages of cloud properties (daily and monthly). The effects of different level 2 datasets and of different level 2 to level 3 algorithms will be investigated. In addition the propagation of the uncertainty will be analysed.