This is an old revision of the document!
Qc2 Scientific Tasks
Status Draft
Specification of algorithms and general guidelines.
- Defintion of algorithms
- Tests for interdependence, spatial correlation,
- Strategies for interpolation in both space and time,
- Use of station aspect,
- Spatial bivariate, multivariate, tests etc …
- …
- General guidelines
- Optimum number of points to include in an interpolation,
- Recommended statistics (e.g. monthly averagess, normals, medians etc …) to use in comparison with data (e.g. for outlier checks etc., quality control
- Statistical checks to use for checking the performance of interpolation methods (e.g. see Algorithm Gallery)
- Identification of simple tests with little computational overhead and also those more complicated and CPU demanding
- Other
- Use of semivariograms in general as a method to assess spatial homogeneity
- Automating kriging methods: calculation of semivariogram, fitting model, applying the kriging interpolator
- Boundary detection
- First defintion of other algorithms involving satellite, radar data etc …
- General advice on priorities on particular algorithms etc. to develop