Intelligent integration of open-access weather-climate data on local urban areas

Abstract

The paper concerns one of the practical applications of advanced IT in the field of present-day climatology. In particular, we discuss the problem of “missing data” on weather and climate in local urban areas, where “missing data” represent the difference between the available and desired data which seem to be necessary in the context of coming climate changes. Then integration of open-access data provided by meteo-services becomes the main way to begin to solve this problem. In this case the inevitable conflict-of-units between essentially heterogeneous data on weather events and climate processes in different timescales occurs. Usually, weather and climate time scales are used separately in order to avoid such conflict; however, in this case useful information can be missed. We follow by an alternate viewpoint, when the conflict-of-units is resolved by experts on the basis of the bifurcation analysis. So, tools of several information technologies and expert opinions are attracted in order to provide uninterruptedly the following stages without the conflict-of-units: data collection from meteo-websites; data parsing and translation; filling the specialized database and visual updating the useful information. The pilot version of such intelligent data integration is presented, where spatial and temporal heterogeneities of only temperature effects are taken into account. We believe that the discussion could be interesting as for scientists as for IT-designers and audience of the meteorological websites.