The CAWA project comprises the development of novel retrieval techniques and is separated in the following objectives:
CAWA is structured in seven major tasks, which are shortly summarised:
• Task 1: Scientific Review and Requirements Consolidation
• Task 2: Algorithm Development/Improvement
• Task 3: Product Generation
• Task 4: Algorithm Evaluation and Validation
• Task 5: Sensitivity Analysis of Atmospheric Correction
• Task 6: Sentinel-3 OLCI
• Task 7: Project Outreach
After a scientific review and a consolidation of the appropriate requirements, the algorithms are developed so that a diagnostic dataset can be produced. This dataset allows a first evaluation and validation and hence a feed back to the algorithm improvement. The improved and evaluated algorithms are then used for the production of the full MERIS mission datasets. This data will be analysed, validated and compared to standard algorithms. The outcomes will be distributed to the scientific community, i.e. to support the GEWEX Water Vapor Assessment (G-VAP). Furthermore, the achieved uncertainties can be used to estimate their impact on an improved atmospheric correction. After launch of Sentinel-3, six months of OLCI data will be processed with the new CAWA algorithms and validated.
CAWA started in July 2014, with a duration of 24-months.
The Requirements Baseline Document (RB) and the Algorithm Theoretical Baseline Documents for all CAWA products have been written, however, updates of all documents will be performed at the end of the project to address the progress of the algorithm development.
The product validation and evolution of the algorithm are currently performed.
After the 12 months of algorithm development and validation the complete MERIS dataset will be processed and the results will be analysed.
08 September 2015
Improvements of the TCWV algorithm have reduced the uncertainties in the products. The main changes are related to a more accurate description of the vertical temperature profile, provided by ERA-interim data files. The OLCI-like TCWV algorithm, considering 2 channels within the rst-H2O absorption band has been developed and tested by applying MODIS data.