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G. Haase and T. Landelius

De-aliasing of Doppler radar winds using a torus mapping. G. Haase and T. Landelius. Swedish Meteorological and Hydrological Institute. Doppler wind measurements. Quality control (e.g. de-aliasing). Assimilation into NWP models (e.g. VAD profiles, superobservations …). Aliasing problem.

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G. Haase and T. Landelius

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  1. De-aliasing of Doppler radar winds using a torus mapping G. Haase and T. Landelius Swedish Meteorological and Hydrological Institute

  2. Doppler wind measurements Quality control (e.g. de-aliasing) Assimilation into NWP models (e.g. VAD profiles, superobservations …)

  3. Aliasing problem Doppler “dilemma”

  4. De-aliasing algorithm Linear wind model:

  5. De-aliasing algorithm Linear wind model: Map the measurements onto the surface of a torus

  6. Case study Hemse (Sweden): 2 July 2003, 10:47 UTC

  7. Validation

  8. Application 1: Wind profiles (VVP) Vantaa (Finland): 4 December 1999, 12:00 UTC

  9. Application 2: Superobservations Karlskrona (Sweden): 3 December 1999, 18:30 UTC D. B. Michelson

  10. Summary • accurate & robust post-processing algorithm • (elimination of multiple folding) • no additional wind information needed • (independent data source) • improve quality of wind profiles and superobservations for data assimilation • potential for further reduction of computational costs (real-time applications)

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