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