Accessibility navigation

A dynamical–system description of precipitation over the tropics and the midlatitudes

Yano, J.-I., Ambaum, M. ORCID:, Dacre, H. ORCID: and Manzato, A. (2020) A dynamical–system description of precipitation over the tropics and the midlatitudes. Tellus Series A: Dynamic Meteorology and Oceanography, 72 (1). pp. 1-17. ISSN 0280-6495

Text (Open Access) - Published Version
· Available under License Creative Commons Attribution Non-commercial.
· Please see our End User Agreement before downloading.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1080/16000870.2020.1847939


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 North–East 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 correlation-based 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.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:94526
Publisher:Taylor & Francis


Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation