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-stat...

An objective method for homogenization of early (pre $1850) instrumental near surface air temperature records is developed. The method is grounded on the same variational principle as used in the objective analysis of meteorological ®elds; i.e. the method consists of a statistically optimal spatial-coherence-based adjustment of nearby station temperature records. The adjustments are made for se...

BACKGROUND Hot and cold temperatures have been associated with childhood asthma. However, the relationship between daily temperature variation and childhood asthma is not well understood. This study aimed to examine the relationship between diurnal temperature range (DTR) and childhood asthma. METHODS A Poisson generalized linear model combined with a distributed lag non-linear model was used...

In this work we address the feasibility of estimating and isolating the stationary and deterministic content of observational time series, Ots, which in general have very limited characteristics. In particular, we study the valuable earth’s surface mean temperature time series, Tts, by applying several treatments intended to isolate the stationary and deterministic content. We give particular a...