Convective organization and 3D structure of tropical cloud systems deduced from synergistic A-Train observations and machine learning

Stubenrauch, Claudia J.; Mandorli, Giulio; Lemaitre, Elisabeth

doi:https://doi.org/10.5194/acp-23-5867-2023

Articles | Volume 23, issue 10

https://doi.org/10.5194/acp-23-5867-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-5867-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 10

Research article

|

26 May 2023

Research article |

| 26 May 2023

Convective organization and 3D structure of tropical cloud systems deduced from synergistic A-Train observations and machine learning

Claudia J. Stubenrauch, Giulio Mandorli, and Elisabeth Lemaitre

Supplement

https://doi.org/10.5194/acp-23-5867-2023-supplement

Data sets

The ERA-Interim reanalysis: configuration and performance of the data assimilation system (https://www.icare.univ-lille.fr/) D. P. Dee, S. M. Uppala, A. J. Simmons, P. Berrisford, P. Poli, S. Kobayashi, U. Andrae, M. A. Balmaseda, G. Balsamo, P. Bauer, P. Bechtold, A. C. M. Beljaars, L. van de Berg, J. Bidlot, N. Bormann, C. Delsol, R. Dragani, M. Fuentes, A. J. Geer, L. Haimberger, S. B. Healy, H. Hersbach, E. V. Hólm, L. Isaksen, P. Kållberg, M. Köhler, M. Matricardi, A. P. McNally, B. M. Monge-Sanz, J.-J. Morcrette, B.-K. Park, C. Peubey, P. de Rosnay, C. Tavolato, J.-N. Thépaut, and F. Vitart https://doi.org/10.1002/qj.828

Extended Reconstructed Sea Surface Temperature, Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons (https://origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/detrend.nino34.ascii.txt) Boyin Huang, Peter W. Thorne, Viva F. Banzon, Tim Boyer, Gennady Chepurin, Jay H. Lawrimore, Matthew J. Menne, Thomas M. Smith, Russell S. Vose, and Huai-Min Zhang https://doi.org/10.1175/JCLI-D-16-0836.1

Spectral Retrieval of Latent Heating Profiles from TRMM PR Data. Part IV: Comparisons of Lookup Tables from Two- and Three-Dimensional Cloud-Resolving Model Simulations (https://disc.gsfc.nasa.gov/datasets/GPM_3HSLH_TRMM_DAY_07/summary) Shoichi Shige, Yukari N. Takayabu, Satoshi Kida, Wei-Kuo Tao, Xiping Zeng, Chie Yokoyama, and Tristan L’Ecuyer https://doi.org/10.1175/2009JCLI2919.1

Cloud climatologies from the InfraRed Sounders AIRS and IASI: Strengths and Applications (https://cirs.aeris-data.fr) Claudia J. Stubenrauch, Artem G. Feofilov, Sofia E. Protopapadaki, and Raymond Armante https://doi.org/10.5194/acp-17-13625-2017

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Short summary

Organized convection leads to large convective cloud systems and intense rain and may change with a warming climate. Their complete 3D description, attained by machine learning techniques in combination with various satellite observations, together with a cloud system concept, link convection to anvil properties, while convective organization can be identified by the horizontal structure of intense rain.