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Simulated radar measurements in NWP-model validation Carl Fortelius

Simulated radar measurements in NWP-model validation Carl Fortelius Finnish Meteorological Institute. Contents: 1. What are simulated radar measurements 2. Why are they needed 3. What do they tell. Special thanks to: Günther Haase and DWD for the RSM code Harri Hohti for radar data

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Simulated radar measurements in NWP-model validation Carl Fortelius

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  1. Simulated radar measurements in NWP-model validation Carl Fortelius Finnish Meteorological Institute

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

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

  4. 3D NWP model output: T, q, hydrometeors

  5. 3D NWP model output: T, q, hydrometeors Volume backscattering coefficient (Mie)

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

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

  8. Example: Comparing two parameterizations of convection and moist physics in HIRLAM

  9. Example: Comparing two parameterizations of convection and moist physics in HIRLAM Model: HIRLAM 5.0.0 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. Example: Comparing two parameterizations of convection and moist physics in HIRLAM Model: HIRLAM 5.0.0 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. Analysis 25 May 2001 12 UTC Model domain and composite area

  12. 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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