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Revisiting estimation of TC winds from IR Imagery

Revisiting estimation of TC winds from IR Imagery. Making sense of the data. Data and documentation. Analyses. Analyze aircraft data on a polar grid, motion relative Apply surface reduction Decompose into wavenumber 0, 1, and 2 Analyze IR images on a polar grid, motion relative

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Revisiting estimation of TC winds from IR Imagery

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  1. Revisiting estimation of TC winds from IR Imagery

  2. Making sense of the data Data and documentation Analyses Analyze aircraft data on a polar grid, motion relative Apply surface reduction Decompose into wavenumber 0, 1, and 2 Analyze IR images on a polar grid, motion relative Decompose into 2-D principle components • Flight-level data (1995-2012) • Estimates of tangential wind at the 500km radius (GFS) • IR images (3-hourly here) • Best track (intensity, motion) • Methods to estimate surface inflow angles • Methods to reduce winds from flight-level to the surface

  3. Method • Single-field principle component analysis (SFPCA; Bretherton et al. 1992) applied to the amplitude and phase of the wind field • This relates intensity, latitude, translation speed, and the IR principle components to the surface wind speeds • Extrapolate the Amplitudes of wavenumbers through the 166km to 500km region of the vortex • Apply inflow angles that are a function of translation speed, intensity, radius, and the radius of maximum wind (Zhang and Uhlhorn 2012)

  4. Example Hurricane Ike 10 Sep 2008 18UTC

  5. 3-hourly wind estimates Ike 2008

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