---
res:
  bibo_abstract:
  - Deep Convective Systems (DCSs) reaching scales of 100–1000 km play a pivotal role
    as the primary precipitation source in the tropics. Those systems can have large
    cloud shields, and thus not only affect severe precipitation patterns but also
    play a crucial part in modulating the tropical radiation budget. Understanding
    the complex factors that control how these systems grow and how they will behave
    in a warming climate remain fundamental challenges. Research efforts have been
    directed, on one hand, towards understanding the environmental control on these
    systems, and on the other hand, towards exploring the internal potential of systems
    to develop and self-aggregate in idealized simulations. However, we still lack
    understanding on the relative role of the environment and internal feedbacks on
    DCS mature size and why. The novel high-resolution global SAM simulation from
    the DYAMOND project, combined with the TOOCAN Lagrangian tracking of DCSs and
    machine learning tools, offers an unprecedented opportunity to explore this question.
    We find that a system’s growth rate during the first 2 h of development predicts
    its final size with a Pearson correlation coefficient of 0.65. Beyond this period,
    growth rate emerges as the strongest predictor. However, in the early stages,
    additional factors–such as ice water path heterogeneity, migration distance, interactions
    with neighboring systems, and deep shear–play a more significant role. Our study
    quantitatively assesses the relative influence of internal versus external factors
    on the mature cloud shield size. Our results show that system-intrinsic properties
    exert a stronger influence than environmental conditions, suggesting that the
    initial environment does not strictly constrain final system size, particularly
    for larger systems where internal dynamics dominate.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Sophie
      foaf_name: Abramian, Sophie
      foaf_surname: Abramian
  - foaf_Person:
      foaf_givenName: Caroline J
      foaf_name: Muller, Caroline J
      foaf_surname: Muller
      foaf_workInfoHomepage: http://www.librecat.org/personId=f978ccb0-3f7f-11eb-b193-b0e2bd13182b
    orcid: 0000-0001-5836-5350
  - foaf_Person:
      foaf_givenName: Camille
      foaf_name: Risi, Camille
      foaf_surname: Risi
  - foaf_Person:
      foaf_givenName: Thomas
      foaf_name: Fiolleau, Thomas
      foaf_surname: Fiolleau
  - foaf_Person:
      foaf_givenName: Rémy
      foaf_name: Roca, Rémy
      foaf_surname: Roca
  bibo_doi: 10.1038/s41612-025-01154-1
  bibo_volume: 8
  dct_date: 2025^xs_gYear
  dct_identifier:
  - UT:001524244500001
  dct_isPartOf:
  - http://id.crossref.org/issn/2397-3722
  dct_language: eng
  dct_publisher: Springer Nature@
  dct_title: How key features of early development shape deep convective systems@
...