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Simulated radar measurements in NWP-model validation
Carl ForteliusFinnish Meteorological Institute
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Contents:
1. What are simulated radar measurements
2. Why are they needed
3. What do they tell
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Special thanks to:
Günther Haase and DWD for the RSM code
Harri Hohti for radar data
Sami Niemelä for Hirlam output
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3D NWP model output:T, q, hydrometeors
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Volume backscatteringcoefficient (Mie)
3D NWP model output:T, q, hydrometeors
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Radar ray propagation,extinction
Volume backscatteringcoefficient (Mie)
3D NWP model output:T, q, hydrometeors
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Radar ray propagation,extinction
Volume backscatteringcoefficient (Mie)
Simulated measurements:PPI, RHI,statistics,...
3D NWP model output:T, q, hydrometeors
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Example: Comparing two parameterizations of convectionand moist physics in HIRLAM
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Example: Comparing two parameterizations of convectionand moist physics in HIRLAM
Model: HIRLAM 5.0.0Resolution: 40 levels, 5.5 kmExperiments (Sami Niemelä, Univ. Helsinki):
HHS: Reference version HHK: ''STRACO'' replaced by ''RKKF''
Boundaries & initial state: FMI operational analyses (31 levels, 22 km)
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Example: Comparing two parameterizations of convectionand moist physics in HIRLAM
Model: HIRLAM 5.0.0Resolution: 40 levels, 5.5 kmExperiments (Sami Niemelä, Univ. Helsinki):
HHS: Reference version HHK: ''STRACO'' replaced by ''RKKF''
Boundaries & initial state: FMI operational analyses (31 levels, 22 km)
Radars: Gematronik 5.6 GHz, Sigmet signal processingVantaa, Ikaalinen, Anjalankoski
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Analysis 25 May 2001 12 UTC
Model domain and composite area
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Conclusions
NWP-models produce realistic(?) reflectivity distributions
RSM only (?) way to verify vertically distributed hydrometeors
RSM brings out differences between alternative model formulationswhen traditional methods fail
RSM is computationally demanding
