Abstract
New approach of using Newton’s Second Low in the analysis of a non-mechanical system is pre- sented. A force that satisfies Newton’s second law is introduced, where real time series of average monthly temperatures are transformed into time-dependent force parameters. The force acts on a point in data space. This method of data analysis can be considered as a type of information filtering. Extreme values of certain force parameters were analyzed as potential predictors of temperature trend emergence. Specific force pa- rameters were calculated based on the average monthly temperatures values for several cities in Bosnia and Herzegovina. A review and discussion of possible changes in average monthly temperatures in the future are provided, based on the values of the obtained force parameters.
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