Saturday 24 June 2017
Highlights

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 intended to be 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 generally
  • Theoretical evaluation and benchmark for methods, validation statistics
  • Applications of different homogenization and quality control methods, experiences with different meteorological variables

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 (data assimilation, reanalysis)
  • Applications of different interpolation methods for the meteorological and climatological fields

Recent activities and projects related to homogenization and interpolation 

  • Preparation of a guidance on homogenization by TT HOM (WMO CCl Task Team on Homogenisation)
  • Gridded databases, digital climate atlases, results of the DanubeClim project
  • Climate monitoring products for Europe based on Surface in-situ Observations high-resolution gridded information products is generated in Copernicus Climate Change Service (C3S) Climate Data Store (CDS) project


    wmo_logo 9th Seminar for Homogenization and Quality Control in Climatological Databases and
    4th Conference on Spatial Interpolation Techniques in Climatology and Meteorology