Understanding dynamical changes in climate extremes are vital predicting extreme events and lowering their associated impacts on the environment society. The objectives of this study is to analyze spatiotemporal variations temperature association with selected atmospheric circulation indices. We use daily maximum (TX) minimum (TN) data for five glaciers Hunza district central Karakoram period 1...

in this paper by use of mathematical modeling of an observer [14,15] the notion of relative information functional for relative dynamical systemson compact metric spaces is presented. we extract the information function ofan ergodic dynamical system (x,t) from the relative information of t fromthe view point of observer χx, where x denotes the base space of the system.we also generalize the inv...

Title: Dynamical seasonal prediction of tropical Indo-Pacific SST and Australian rainfall with improved ocean initial conditions. CSIRO and the Bureau of Meteorology advise that the information contained in this publication comprises general statements based on scientific research. The reader is advised and needs to be aware that such information may be incomplete or unable to be used in any sp...

X iv :c on dm at /0 51 12 31 v1 [ co nd -m at .s ta tm ec h] 9 N ov 2 00 5 STATISTICAL MECHANICS OF DYNAMICAL SYSTEMS WITH TOPOLOGICAL PHASE TRANSITIONS AJAY PATWARDHAN Physics Department, St Xavier’s college, Mumbai Visitor, Institute of Mathematical Sciences, Chennai ABSTRACT Dynamical system properties give rise to effects in Statistical mechanics. Topological index changes can be the basis ...

Abstract We examine a scalar-tensor model of gravity that is globally scale-invariant. When adapted to spatially flat Robertson-Walker metric, the equations motion describe dynamical system flows from an unstable de Sitter space stable one. show during this transition inflation can occur. Moreover, at final fixed point, mass scale naturally emerges be identified with Planck mass. compute inflat...

In this paper, we introduce a dynamical model for the time evolution of probability density functions incorporating uncertainty in parameters. The follows stochastic processes, thereby defining new class processes with values space densities. purpose is to quantify that can be used probabilistic forecasting. Starting from set traded prices equity indices, do some empirical studies. We apply our...

this paper proposes a novel approach for coherent generators online clustering in a large power system following a wide area disturbance. an interconnected power system may become unstable due to severe contingency when it is operated close to the stability boundaries. hence, the bulk power system controlled islanding is the last resort to prevent catastrophic cascading outages and wide area bl...

the main goal of the present paper is to extend classical results from the measure theory and dynamical systems to the fuzzy subset setting. in this paper, the notion of  dynamic equivalence relation is introduced and then it is proved that this relation is an equivalence relation. also, a new metric on the collection of all equivalence classes is introduced and it is proved that this metric is...