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Weaker Links Between Zonal Convective Clustering and ITCZ Width in Climate Models Than in Observations.
Popp, Max; Lutsko, Nicholas J; Bony, Sandrine.
Afiliación
  • Popp M; Laboratoire de Météorologie Dynamique (LMD/IPSL), Sorbonne Université, Centre National de la Recherche Scientifique (CNRS), École Polytechnique, École Normale Supérieure Paris France.
  • Lutsko NJ; Scripps Institution of Oceanography University of California, San Diego La Jolla CA USA.
  • Bony S; Laboratoire de Météorologie Dynamique (LMD/IPSL), Sorbonne Université, Centre National de la Recherche Scientifique (CNRS), École Polytechnique, École Normale Supérieure Paris France.
Geophys Res Lett ; 47(22): e2020GL090479, 2020 Nov 28.
Article en En | MEDLINE | ID: mdl-33380761
ABSTRACT
Strong links are seen in observations between convective clustering and several properties of the Intertropical Convergence Zone (ITCZ). These links suggest that biases in how climate models simulate the ITCZ may be related to model biases in convective clustering or that there may be biases in how models represent the relationship between clustering and the ITCZ. We investigate these issues by analyzing convective clustering, and the link between clustering and ITCZ properties in 18 climate models. We find that the links between variability in convective clustering and variability of ITCZ properties are generally weaker and less robust in models than in observations. By contrast, model biases in the climatological convective clustering explain a substantial fraction of the climatological double-ITCZ bias, though they do not explain biases in the climatological ITCZ width.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Geophys Res Lett Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Geophys Res Lett Año: 2020 Tipo del documento: Article