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CHARACTERIZING COLD AIR POOL DYNAMICS USING THERMAL IMAGERY

BIOMICROMETEOROLOGY GROUP. CHARACTERIZING COLD AIR POOL DYNAMICS USING THERMAL IMAGERY. PRESENTED BY CHRIS JOHNSON. Photo Credit: The University of Utah. DESIGN OF EXPERIMENT. SODAR. THERMAL IMAGERY TO MAP COLD AIR POOL DYNAMICS.

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CHARACTERIZING COLD AIR POOL DYNAMICS USING THERMAL IMAGERY

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  1. BIOMICROMETEOROLOGY GROUP CHARACTERIZING COLD AIR POOL DYNAMICS USING THERMAL IMAGERY PRESENTED BY CHRIS JOHNSON

  2. Photo Credit: The University of Utah

  3. DESIGN OF EXPERIMENT SODAR

  4. THERMAL IMAGERY TO MAP COLD AIR POOL DYNAMICS Each pixel of temperature information will be associated with a position on the Earth and an elevation. But first the thermal imagery must be filtered, georeferenced, and orthorectified.

  5. GEOREFERENCING THERMAL IMAGERY Known Object and Location • Identify objects in the image • Obtain accurate locations • Use known objects as Ground Control Points Ground Control Point

  6. ORTHORECTIFICATION Data Gap

  7. VALIDATION – Temperature Profile • Basic Functions: • Emits a sound pulse • Measures properties of sound backscattered from turbulent fluctuations • Emitted pulse frequency • Backscattered sound frequency • Intensity of backscattered sound • Relationship to IR Measurements: • Atmospheric Structure Parameters • Refractive Index Structure Parameter(CN2) • Temperature Structure Parameter (CT2) • Intensity related to CN2 • CN2 related to CT2 • CT2 directly calculated from temperature gradient

  8. VALIDATION – Cold Air Pool Depth Assumption: The depth of the cold air pool is equal to the inversion height. Backscatter Intensity Potential Temperature ABL Conditions for Plot: Weak wind, surface radiatively cooling. Plot Credit: Beyrich, F., 1997. Mixing Height Estimation from SODAR Data. Atmospheric Environment 31, 3941-3953.

  9. DESIGN OF EXPERIMENT SODAR

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