The homogeneous data series with high quality and the spatial interpolation are indispensable for the climatological and meteorological examinations. The primary goal of this meeting is to promote the discussion about the methodological and theoretical aspects.

The main topics of homogenization and quality control are the following:

• Methods for homogenization and quality control of monthly data series
• Spatial comparison of series, inhomogeneity detection, correction of series
• Methods for homogenization and quality control of daily data series, examination of parallel measurements
• Relation of monthly and daily  homogenization, mathematical formulation of homogenization for climate data series
• Theoretical evaluation and benchmark for methods, validation statistics
• Applications of different homogenization and quality control methods, experiences with different meteorological elements

The main topics of spatial interpolation are the following:

• Temporal scales: from synoptic situations to climatological mean values
• Interpolation formulas and loss functions depending on the spatial probability distribution of climate variables
• Estimation and modelling of statistical parameters (e.g.: spatial trend,  covariance or variogram) for interpolation formulas using spatiotemporal sample and auxiliary model variables (topography)
• Use of auxiliary co-variables, background information (e.g.: dynamical model results, satellite, radar data) for spatial interpolation
• Applications of different interpolation methods for the meteorological and climatological fields
• Gridded databases, digital climate atlases, results of the CARPATCLIM project
  
  

8th Seminar for Homogenization and Quality Control in Climatological Databases and 3rd Conference on Spatial Interpolation Techniques in Climatology and Meteorology