{"id":318,"date":"2023-02-16T10:51:54","date_gmt":"2023-02-16T10:51:54","guid":{"rendered":"https:\/\/hygeos.com\/?post_type=avada_portfolio&p=318"},"modified":"2024-04-23T08:11:30","modified_gmt":"2024-04-23T08:11:30","slug":"metim_ctp","status":"publish","type":"avada_portfolio","link":"https:\/\/hygeos.com\/en\/project\/metim_ctp\/","title":{"rendered":"METimage Cloud Top Pressure"},"content":{"rendered":"
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METimage Cloud Top Pressure<\/h1><\/div>

Context<\/h2><\/div>

METimage sensor is intended to provide high quality imagery data for global and regional numerical weather prediction and now-casting, and to support the sounding instruments on EPS-SG<\/a>. Taking advantage of its large spectral range (0.44-13.5 \u03bcm), METimage will provide, among others, cloud top pressure (CTP)<\/strong> products based on the use of visible imaging.<\/p>\n

This project aimed to establish the basis of an operational algorithm for the retrieval of CTP<\/a> from the information supplied by the Oxygen A-band channels of the METimage instrument. HYGEOS managed and contributed mainly to this project which was operated in partnership with the Laboratoire d’Optique Atmosph\u00e9rique<\/a>.<\/p>\n<\/div><\/div><\/div><\/div>

HYGEOS Activities<\/h2><\/div>

A retrieval method based on optimal estimate approach<\/strong> (see poster<\/a>) has been designed, prototyped and tested using simulated METimage and real MERIS data. This included the following steps:<\/p>\n