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

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Presentation on theme: "CHARACTERIZING COLD AIR POOL DYNAMICS USING THERMAL IMAGERY PRESENTED BY CHRIS JOHNSON BIOMICROMETEOROLOGY GROUP."— Presentation transcript:

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

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 Identify objects in the image Obtain accurate locations Use known objects as Ground Control Points Ground Control Point Known Object and Location

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(C N 2 ) Temperature Structure Parameter (C T 2 ) Intensity related to C N 2 C N 2 related to C T 2 C T 2 directly calculated from temperature gradient

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

9 DESIGN OF EXPERIMENT SODAR


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