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02/10/021 Simulated radar measurements in NWP-model validation Carl Fortelius Finnish Meteorological Institute.

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Presentation on theme: "02/10/021 Simulated radar measurements in NWP-model validation Carl Fortelius Finnish Meteorological Institute."— Presentation transcript:

1 02/10/021 Simulated radar measurements in NWP-model validation Carl Fortelius Finnish Meteorological Institute

2 02/10/021 Contents: 1. What are simulated radar measurements 2. Why are they needed 3. What do they tell

3 02/10/021 Special thanks to: Günther Haase and DWD for the RSM code Harri Hohti for radar data Sami Niemelä for Hirlam output

4 02/10/021 3D NWP model output: T, q, hydrometeors

5 02/10/021 Volume backscattering coefficient (Mie) 3D NWP model output: T, q, hydrometeors

6 02/10/021 Radar ray propagation, extinction Volume backscattering coefficient (Mie) 3D NWP model output: T, q, hydrometeors

7 02/10/021 Radar ray propagation, extinction Volume backscattering coefficient (Mie) Simulated measurements: PPI, RHI, statistics,... 3D NWP model output: T, q, hydrometeors

8 02/10/021 Example: Comparing two parameterizations of convection and moist physics in HIRLAM

9 02/10/021 Example: Comparing two parameterizations of convection and moist physics in HIRLAM Model:HIRLAM Resolution: 40 levels, 5.5 km Experiments (Sami Niemelä, Univ. Helsinki): HHS: Reference version HHK: ''STRACO'' replaced by ''RKKF'' Boundaries & initial state:FMI operational analyses (31 levels, 22 km)

10 02/10/021 Example: Comparing two parameterizations of convection and moist physics in HIRLAM Model:HIRLAM Resolution: 40 levels, 5.5 km Experiments (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 processing Vantaa, Ikaalinen, Anjalankoski

11 02/10/021 Analysis 25 May UTC Model domain and composite area

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19 1 Conclusions NWP-models produce realistic(?) reflectivity distributions RSM only (?) way to verify vertically distributed hydrometeors RSM brings out differences between alternative model formulations when traditional methods fail RSM is computationally demanding


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