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The threat of global warming and the demand for reliable climate predictions pose a formidable challenge being the climate system multiscale, high-dimensional and nonlinear. Spatiotemporal recurrences of the system hint to the presence of a…

Atmospheric and Oceanic Physics · Physics 2022-03-17 Fabrizio Falasca , Annalisa Bracco

The correlation dimension and K2-entropy are estimated from meteorological time- series. The results lead us to claim that seasonal variability of weather is under influence of low dimensional dynamics, whereas changes of weather from day…

chao-dyn · Physics 2007-05-23 Ales Raidl

The series of mean daily temperature of air recorded over a period of 215 years is used for analysing the dimensionality and the predictability of the atmospheric system. The total number of data points of the series is 78527. Other 37…

comp-gas · Physics 2009-10-28 Ales Raidl

Determining the maximum potential limit in the accuracy of hurricane intensity prediction is important for operational practice. Using the phase-space reconstruction method for hurricane intensity time series, here we found that hurricane…

Atmospheric and Oceanic Physics · Physics 2021-10-12 Chanh Kieu , Weiran Cai , Wai-Tong , Fan

Many natural systems show emergent phenomena at different scales, leading to scaling regimes with signatures of chaos at large scales and an apparently random behavior at small scales. These features are usually investigated quantitatively…

The correlation dimension and limit capacity serve theoretically as lower and upper bounds, respectively, of the fractal dimension of attractors of dynamic systems. In this paper, we show that estimates of the correlation dimension grow…

chao-dyn · Physics 2008-02-03 Melvin Leok Boon Tiong

Numerous weather parameters affect the occurrence and amount of rainfall. Therefore, it is important to study these parameters and their interdependency. In this paper, different weather and time-related variables -- relative humidity,…

Atmospheric and Oceanic Physics · Physics 2018-05-08 Shilpa Manandhar , Soumyabrata Dev , Yee Hui Lee , Stefan Winkler , Yu Song Meng

An extensive statistical survey of universal approximators shows that as the dimension of a typical dissipative dynamical system is increased, the number of positive Lyapunov exponents increases monotonically and the number of parameter…

Chaotic Dynamics · Physics 2009-11-11 D. J. Albers , J. C. Sprott , J. P. Crutchfield

Generating long-term trajectories of dissipative chaotic systems autoregressively is a highly challenging task. The inherent positive Lyapunov exponents amplify prediction errors over time. Many chaotic systems possess a crucial property -…

Chaotic Dynamics · Physics 2025-05-27 Yi He , Yiming Yang , Xiaoyuan Cheng , Hai Wang , Xiao Xue , Boli Chen , Yukun Hu

Teleconnections between the tropical and the extratropical climates are often considered as a potential source of long-term predictability at seasonal to decadal time scales in the extratropics. This claim is taken up in the present work by…

Atmospheric and Oceanic Physics · Physics 2023-10-17 Stephane Vannitsem

Predictability of the North Atlantic thermohaline circulation (THC) variability as simulated in the GFDL coupled ocean-atmosphere general circulation model is established for a set of ensemble experiments. The ensembles consist of identical…

ao-sci · Physics 2016-08-30 Stephen M. Griffies , Kirk Bryan

Rainfall in coastal areas of the tropics is often shaped by the presence of circulations directly associated with the topography, such as land-sea and/or mountain-valley breezes. In many regions the coastally-affected rainfall consitutes…

Atmospheric and Oceanic Physics · Physics 2016-05-09 Martin Bergemann , Christian Jakob , Todd P. Lane

Tropical monsoons play a critical role in shaping regional and global climate systems, with profound ecological and socio-economic impacts. However, their long-term prediction remains challenging due to the complex interplay of regional…

Geophysics · Physics 2025-02-24 Guanghao Ran , Jun Meng , Jingfang Fan

The first step in exploring the properties of dynamical systems like the Earth climate is to identify the different phase space regions where the trajectories asymptotically evolve, called `attractors'. In a given system, multiple…

Atmospheric and Oceanic Physics · Physics 2019-09-04 Maura Brunetti , Jérôme Kasparian , Christian Vérard

The Miles-Krasnopolskaya system is considered, which is used to study the nonlinear interaction of a tank with a liquid and the source of excitation of its oscillations. Additionally, delay time of impulse from the source of excitation of…

Chaotic Dynamics · Physics 2025-12-09 Aleksandr Shvets , Ilmi Seit-Dzhelil

We study the variability of the cataclysmic variable DO Dra, on time-scales of between minutes and decades. The characteristic decay time dt/dm=0.902(3) days/mag was estimated from our 3 nights of CCD R observations. The quiescent data show…

Astrophysics · Physics 2008-06-13 I. L. Andronov , L. L. Chinarova , W. Han , Y. Kim , J. -N. Yoon

We consider an autonomous system constructed as modification of the logistic differential equation with delay that generates successive trains of oscillations with phases evolving according to chaotic maps. The system contains two feedback…

Chaotic Dynamics · Physics 2014-04-17 D. S. Arzhanukhina , S. P. Kuznetsov

One characterization of a chaotic system is the quick delocalization of quantum information (fast scrambling). One therefore expects that in such a system a state quickly becomes locally indistinguishable from its perturbations. In this…

High Energy Physics - Theory · Physics 2018-08-01 Yuya O. Nakagawa , Gábor Sárosi , Tomonori Ugajin

In this paper, we consider a nonlinear interaction system between the barotropic mode and the first baroclinic mode of the tropical atmosphere with moisture; that was derived in [Frierson, D.M.W.; Majda, A.J.; Pauluis, O.M.: Dynamics of…

Analysis of PDEs · Mathematics 2016-08-24 Jinkai Li , Edriss S. Titi

Tropical cyclone (TC) intensity forecasts are issued by human forecasters who evaluate spatio-temporal observations (e.g., satellite imagery) and model output (e.g., numerical weather prediction, statistical models) to produce forecasts…

Machine Learning · Statistics 2021-12-01 Trey McNeely , Galen Vincent , Rafael Izbicki , Kimberly M. Wood , Ann B. Lee
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