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A Dynamical-System Description of Precipitation over The Tropics and the Midlatitudes

Authors :
Jun-Ichi Yano
Maarten H. P. Ambaum
Agostino Manzato
Helen F. Dacre
Centre national de recherches météorologiques (CNRM)
Météo France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
Météo France-Centre National de la Recherche Scientifique (CNRS)
Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP)
Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)
Source :
Tellus A, Tellus A, Co-Action Publishing, 2020, ⟨10.1080/16000870.2020.1847939⟩, Tellus A, Co-Action Publishing, 2020, Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 72, Iss 1, Pp 1-17 (2020), Tellus A, 2020, ⟨10.1080/16000870.2020.1847939⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

International audience; A dynamical-system approach is proposed to describe the relationship between precipitation and a chosen predictor. This is done by constructing a two dimensional phase space spanned by predictor and predictant. This study uses two sounding data sets from the Tropical Western Pacific and Friuli Venezia Giulia (FVG) over NorthEast Italy as representatives of the tropics and midlatitudes, in addition to a basin-scale average over the winter-period North Atlantic from global re-analysis data. In contrast to conventional correlationbased approaches, the proposed approach depicts periodic cycles, as well as discharge-recharge cycles as its nonlinear extension. Discharge-recharge cycles for tropical convection are identified by using both the convective available potential energy (CAPE) and the column-integrated water vapor (CIW) as predictors, as well as the baroclinicity for the winter-period North-Atlantic rain. On the other hand, the midlatitude rain, as seen over FVG as well as the winter-period North Atlantic, does not constitute a well-defined periodic cycle either with CAPE or CIW as a predictor. The inferred phase-space trajectories are more deterministic at peripheries of dense data areas rather than at a middle in the phase space. Data-dense areas in phase space, where traditional approaches primarily focus, are associated with more prediction uncertainties in our analysis due to more phase-velocity fluctuations.

Details

Language :
English
ISSN :
02806495 and 16000870
Database :
OpenAIRE
Journal :
Tellus A, Tellus A, Co-Action Publishing, 2020, ⟨10.1080/16000870.2020.1847939⟩, Tellus A, Co-Action Publishing, 2020, Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 72, Iss 1, Pp 1-17 (2020), Tellus A, 2020, ⟨10.1080/16000870.2020.1847939⟩
Accession number :
edsair.doi.dedup.....30a1da104584e7d8a1f5134cb92e7e22
Full Text :
https://doi.org/10.1080/16000870.2020.1847939⟩