Articles | Volume 16, issue 9
https://doi.org/10.5194/essd-16-4021-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-4021-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
12 Sep 2024
Data description paper |
| 12 Sep 2024
| 12 Sep 2024
A database of deep convective systems derived from the intercalibrated meteorological geostationary satellite fleet and the TOOCAN algorithm (2012–2020)
Université de Toulouse, LEGOS (CNRS/UT3), Toulouse, France
Rémy Roca
Université de Toulouse, LEGOS (CNRS/UT3), Toulouse, France
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Convective systems are the primary drivers of rainfall and climate on Earth, yet the spatial organisation of associated convection remains poorly understood. This study presents a simple approach to describing this organisation. First, the convective field is decomposed into elementary structures. Then, four scores are computed to describe the size, density, spacing scale and departure from randomness of the cores. This method robustly characterises the organisation of convection.
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Convective systems are the primary drivers of rainfall and climate on Earth, yet the spatial organisation of associated convection remains poorly understood. This study presents a simple approach to describing this organisation. First, the convective field is decomposed into elementary structures. Then, four scores are computed to describe the size, density, spacing scale and departure from randomness of the cores. This method robustly characterises the organisation of convection.
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The RAPSODI dataset compiles 624 radiosonde profiles collected during the 2024 ORCESTRA campaign across the tropical Atlantic—from Cape Verde (INMG), the R/V Meteor, and the Barbados Cloud Observatory. It provides high-resolution temperature, humidity, wind, and pressure data to study convection, tropical waves, and ITCZ dynamics. Data are quality-controlled and openly available in Zarr format via IPFS.
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Short summary
This paper presents a database of tropical deep convective systems over the 2012–2020 period, built from a cloud-tracking algorithm called TOOCAN, which has been applied to homogenized infrared observations from a fleet of geostationary satellites. This database aims to analyze the tropical deep convective systems, the evolution of their associated characteristics over their life cycle, their organization, and their importance in the hydrological and energy cycle.
This paper presents a database of tropical deep convective systems over the 2012–2020 period,...
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