QC2 Acceptance Test & Other Possible Tests

Subject: Acceptance test of precipitation re-distribution algorithms in QC2 (if precip. missing for >= 1 days)

Participants: Per-Ove, Solfrid, Ole Einar, Matthias (author of this page) Forfall: Paul

• Test with different kinds of precipitation data: Convective, terrain (complex/flat), proximity to Swedish border

• Precipitation measurements have already 10% measurement inaccuracy; good result if we can achieve say 100% accuracy in estimated values

• Convective case especially challenging: Half of stations could have precipitation, other half not.

• Automatic QC2 should give better result than HQC –> Could this be tested? (Hypothetical HQC test dataset could be used and compared with automatic QC2)
• Tests of QC2 should be carried out using historic data. Results should be compared with measurements.
• We have enough data for extensive evaluation and reliable statistical error estimations.
• Should HQC still check results of automatic QC2 (probably not)
• Is QC2 giving better results than values of numerical models that are stored in KDVH. –> Test

Acceptance tests with different datasets/precipitation types:

1. Precipitation type (convective/frontal)
2. Regions/topography/catchment areas
3. Station edensity/coverage