The aim of session "Statistics and climatology" is to promote the discussion of statistics in the climatology field in both theoretical and applied aspects.
Statistics is the eldest and one of the main tools in the investigation of climate. This session focuses mostly on the statistical methods and partly on their applications. The methodologies apply to spatial, temporal and combined methods.
- Homogenization
- - Methods for homogenization and data quality control on different time scale
- - Test procedures for evaluation of methods
- - Filtration of trend-like inhomogeneities from the time series, etc.
- Time series analysis
- - Trend analysis
- - EMD
- - Spectrum analysis
- - Models (univariate, multivariate)
- Extreme value distributions
- - GEV distribution
- - POT method
- - Data quality issues (outlyer vs. extreme value)
- Spatial statistics
- - Spatial interpolation methods
- - Benchmarking
- - Interpolation in a complex terrain
- - Data quality issues
- Multidimensional statistical methods
- Verification of numerical models
- - Comparison the model results with the climate and weather
- - Systematic errors
Preliminary List of Solicited Speakers
Co-Sponsorship
General Statement
The information contained hereafter has been compiled and
uploaded by the Session Organizers via the "Organizer Session Form".
The Session Organizers have therefore the sole responsibility
that this information is true and accurate at the date of publication,
and the conference organizer cannot accept any legal responsibility
for any errors or omissions that may be made, and he makes no warranty,
expressed or implied, with regard to the material published.
Back