EO:EUM:DAT:0986
Deep Convective Cloud System Monitoring Database - TOOCAN v2.08 AfricaThe TOOCAN database is a level-2 product of Deep Convective Cloud Systems (DCS) parameters
         derived from Meteosat measurements. Fundamental Climate Data Records of Meteosat First
         and Second Generation instruments MVIRI and SEVIRI (John et al., 2019) are used as
         input for the TOOCAN (Fiolleau and Roca 2013) which is a cloud tracking algorithm
         to detect and track DCS from the geostationary infrared observations. TOOCAN data
         provides integrated morphological parameters of tropical DCS such as location and
         time of initiation and dissipation, lifetime duration, propagated distance, and maximum
         extent. The data are available for region with boundaries 40° S to 40° N and 55° W
         to 55° E for the 1981-2023 period. The data has been used to reveal changes in convective
         organisation over tropical Africa and Atlantic Ocean (Rocal et al., 2024).
         
         The TOOCAN database is composed by two types of files:
         1.            Regional segmented images at a 0.04° spatial resolution and a 30-minute
         temporal frequency (in NETCDF).
         2.            Regional and monthly tracking files (in ASCII and in NETCDF) documenting
         the DCS morphological parameters at each 30 minute-step of their life cycles.
         
         Each DCS is then described by a unique label, which is useful for making the link
         between a given DCS described in the tracking files and the same DCS identified in
         the segmented images. Thus, using both the tracking file and the segmented images
         provides access to all the pixels of a given DCS identified in the segmented images,
         as well as to its morphological parameters in the monthly tracking files.
         
         
Satellite: Instrument: Temporal Extent: 1981-08-16 -
         					2023-12-31
         
         
Orbit Type: GEO
         
         
Data Policy: Third-partyLicence
         
         
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