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Detecting Low-Level Jets Over Testbed Area: Evaluation of Wind Profiler Data

This study examines the use of wind profiler data in detecting low-level jets (LLJs) over a testbed area, comparing profiler data with traditional sounding methods. The research analyzes LLJ occurrence from 11/2005 to 10/2006, defines LLJs and provides meteorological glossary references. Climatological criteria from Bonner (1968) and Whiteman et al. (1997) are applied. Methodologies include data collection, statistical analysis, and comparisons with Vantaa, Jokioinen, Tallinn soundings, and Malmi wind profiler data, highlighting data quality issues. The study assesses LLJ frequency and profiler data usability for LLJ detection.

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Detecting Low-Level Jets Over Testbed Area: Evaluation of Wind Profiler Data

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  1. Detection and occurrence of low-level jets over Testbed area T. Roschier A-J Punkka

  2. motivation and goals • Use and evaluation of wind profiler data in low-level jet detection • Comparison between sounding and profiler data • Low-level jet occurrence (11/2005-10/2006)

  3. definition of low-level jet • Glossary of meteorology: ”A jet stream that is typically found in the lower 2-3 km of the troposphere.” • Climatology of the low level jet (Bonner 1968): ”Criterion 1: The wind at the level of maximum wind must equal or exceed 12 m/s and must decrease at least 6 m/s to the next higher minimum or to the 3 km level.” • LLJ climatology…in the Southern Great Plains (Whiteman et al. 1997): ”Criterion 1: Maximum wind speed greater than 10 m/s in the lowest 3 km and the wind speed must decrease by at least 5 m/s before the 3 km level is reached.” • Definition of Whiteman et al. used in this study.

  4. methods • Primary data source Vantaa soundings (via Researcher’s interface) • Comparisons to Jokioinen and Tallinn soundings (UWyo) and to Malmi wind profiler (RI) • Stages • collecting of cases • statistics of found cases: monthly distribution, wind speed at LLJ core, LLJ core height etc. • comparisons

  5. data problems • irregular soundings from Vantaa • coarse temporal resolution of Jokioinen and Tallinn soundings • bad raw data from Malmi wind profiler • discontinuities in measurements • poor signal quality

  6. Good data from soundings • Profiler data missing ;)

  7. Good wind profiler case ?

  8. what to learn • usability of wind profiler data in LLJ detection • to get very preliminary overview the frequency of occurrence of LLJs

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