Both, the professional and the wider society have an increasing need for high-resolution spatially distributed information about past and future weather and climate. Such information is more and more important for assessing the impact of weather and climate on various environmental and social phenomena. This demands new methods and approaches for the estimation of spatially distributed climate data and for efficient analysis and management of climatological and meteorological information at different temporal and spatial scales.

The aim of this session is to bring together experts, scientists and other interested people working in spatial interpolation and GIS modelling within meteorology and climatology.

In this context contributions on the following topics are invited:
- GIS-based tools and methods for atmospheric data modelling, processing, integration, and analysis
- Spatial interpolation methods for meteorological variables: progress, limitations and possibilities
- GIS applications in climatology and meteorology, including contributions on weather observations and prediction as well as global climate modelling
- Tailored (expert) applications for spatial analysis
- Applications in linking meteorological and climatological information to other Earth sciences (e.g. hydrology, oceanography, biology) and social sciences
- Progress and future development of representing dynamic multidimensional atmospheric phenomena in GIS
- Gridded climatological databases: structures and methods for grids calculation
- Development of GIS modelling and spatial interpolation training programs for meteorologists and climatologists.

According to the main topic of this year’s conference, the contributions on GIS solutions and applications in high spatial resolution are especially encouraged.

Keywords: GIS, meteorology, climatology, spatial data, gridded data, interpolation, GIS analyses, downscaling