Edited by: S.Ekinović; S. Yalcin; J.Vivancos Journal of Trends in the Development of Machinery and Associated Technology Vol. 16, No. 1, 2012, ISSN 2303-4009 (online), p.p. 147-150 ANALYSIS OF TEMPERATURE TIME SERIES MEASURED IN ECOSYSTEMS Milan Hofreiter, Pavel Trnka CTU in Prague, Faculty of Mechanical Engineering Technicka 4, 166 07 Prague 6 Czech Republic ABSTRACT This paper concerns the analysis of temperature time series using the empirical mode decomposition (EMD) and classical identification methods. The temperature time series were measured by meteorological stations which were deployed in the southern part of the Czech Republic. The data analysis was performed in both time and frequency domains. The focus of the work was to investigate the non-stationary stochastic temperature processes and to identify the structure and parameters of the dynamic model which describes the properties of this ecosystem. The data was processed using the Matlab programming environment. Keywords: ecosystem, analysis, temperature 1. INTRODUCTION The status of each ecosystem in terms of biodiversity and stability is directly dependent on two factors. The first is the energy balance, including the incoming and outgoing energy flows; the second is the hydrological balance. The monitoring and examination of ecosystems allows us to express the link between the directly and indirectly measured values as well as the landscape elements. Monitored ecosystems are examples of complex dynamic systems with distributed parameters which have a number of interactive variables [1,12]. Temperature is one of the most important parameters of all ecosystems. It is directly measurable and reflects both energy and hydrological conditions. For monitoring the landscape of southern Bohemia near the town of Trebon, twelve meteorological stations were installed to monitor an area of about 50 km 2 in diverse biotopes; e.g. a drained field, a meadow, an urbanized area, a concrete panel surface of a sewage water treatment plant, the surface of a artificial lake, etc. [8]. Ground meteorological stations (Figure 1) were equipped with sensors making it possible to measure the energy fluxes on the sites under observation. The following quantities were monitored and Figure 1. The ground meteorological station