Quantitative analysis of meteorological data |
Rafał Rak ^{1}, Second Bwanakare ^{2} |
1. Faculty of Mathematics and Natural Sciences, University of Rzeszów, Rzeszów 35-959, Poland |
Abstract |
We present interactive statistical properties of plant main eco-factors i.e. the temperature underground and over ground, the wind speed and the humidity. The study is based upon hourly data statistical observations collected in the region of Lublin, in Poland for the period 2001 - 2009. This paper considers that a plant growth conditions constitutes an emergent response to the above direct eco-factors . Then, the system complexity of each eco-factor is first analyzed alone for its multifractal structure and next an impulse response analysis is carried out to measure dynamical inter causalities within all the considered variables. As far as cross-impact between different eco-variables is concerned, one observes that the wind speed, the underground temperature and the air humidity dynamics are the most influenced, in terms of memory length time, by external temperature. |