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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
Tests of different datasets/precipitation types:
- Precipitation type (convective/frontal)
- Regions/topography/catchment areas
- Station edensity/coverage