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

• Published in: Tellus A: Dynamic Meteorology and Oceanography
• Main Authors: Yano, Jun-Ichi, Ambaum, Maarten, H P, Dacre, Helen, F, Manzato, Agostino
• Other Authors: Centre national de recherches météorologiques (CNRM), 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)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2020
• Subjects: dynamical system; precipitation; column-integrated water vapor; CAPE; empirical forecast; discharge-recharge; [SDE.MCG]Environmental Sciences/Global Changes; Pacific; North Atlantic
• Online Access: https://hal.science/hal-02985704; https://hal.science/hal-02985704v2/document; https://hal.science/hal-02985704v2/file/tellus.pdf; https://doi.org/10.1080/16000870.2020.1847939

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.