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Turbulence and Energy Balance Network

Turbulence and Energy Balance Network. Thomas Foken Department of Micrometeorology University of Bayreuth. Norbert Kalthoff Research Centre Karlsruhe. Content. Types of station WEB Unification Map Cooperation. Types of Measuring Stations.

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Turbulence and Energy Balance Network

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  1. Turbulence and Energy Balance Network Thomas Foken Department of Micrometeorology University of Bayreuth Norbert Kalthoff Research Centre Karlsruhe

  2. Content • Types of station • WEB • Unification • Map • Cooperation

  3. Types of Measuring Stations • E (incl. T and partly G): Energy balance station (friction velocity, sensible and latent heat flux, ground heat flux, four components of net radiation)

  4. Types of Measuring Stations • T: Turbulence station (friction velocity, sensible heat flux)

  5. Types of Measuring Stations • G: Ground measurements (ground heat flux, soil temperature and moisture), also listed in soil moisture network Soil heat flux: 0.1 m Soil temperature: 0.05 and 0.2 m (0.02, 0.1, 0.5 m) Soil moisture: 0.05 and 0.2 m (0.02, 0.1, 0.5 m)

  6. Types of Measuring Stations • S: Sodar (and RASS) measurements

  7. Types of Measuring Stations • E (incl. T and partly G): Energy balance station (friction velocity, sensible and latent heat flux, ground heat flux, four components of net radiation) • T: Turbulence station (friction velocity, sensible heat flux) • G: Ground measurements (ground heat flux, soil temperature and moisture), also listed in soil moisture network • S: Sodar (and RASS) measurements • Station Code: XXYYETGS (XX: Institute; YY: Number)

  8. KA: Research Centre Karlsruhe (2 ETG, 5 T) BT: University Bayreuth (1 ETGS, 3 ETG) BN: University Bonn (1(2) ETG) FR: University Freiburg (1 ETG, 1 S) MF: Meteo France (1 ETGS, 1 ETG) UV: University Vienna (1 T) UL: University Leeds (3 S ???) Code: Station XX; Number YY + ETGS Participants

  9. WEB Pagehttp://www.bayceer.uni-bayreuth.de

  10. Calculation with the turbulence software package TK2 (University of Bayreuth) Data quality code for all flux measurements Data selection according to internal boundary layers and footprint Uniform ground heat flux calculation (concept: University of Bayreuth) Further analysis (next funding period) Unification of Turbulence Measurements

  11. Internal boundary layers Simple Footprint Quality Assurance and control • Quality test according to Foken & Wichura (1996)

  12. Energy Balance Network E T T E E T E T T E E E AMF, United States E Meteo France E E Research Centre Karlsruhe University Bayreuth University Bonn University Freiburg University Vienna E T

  13. Sodar – RASS - Network S S S SR S S S University Leeds SR Meteo France Research Centre Karlsruhe University Bayreuth University Freiburg

  14. Soil moisture network: Unification of soil measurements. Mesonet: Universities of Vienna, Munich, Freiburg and others Data transfer: non real-time (after the experiment) Data basis: NetCDF up to now not prepared ……… Connection with other network

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