Processing of High-Resolution Hurricane Ida Boundary Layer Winds from the IWRAP Instrument on the NOAA WP-3D Aircraft

Sapp, Joseph; Jelenak, Zorana; Chang, Paul; Shoup, Casey; Carswell, J.

doi:10.1109/igarss46834.2022.9883259

Cited by 2 publications

(1 citation statement)

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“…Algorithms to estimate wind directions from the SAR sensors are also being developed, e.g based on local gradients analysis 39 . Airborne acquisitions from the Imaging Wind and Rain Airborne Profiler (IWRAP) instrument 40 shall also yield useful Figure 3. SAR wind profile estimate (solid thick brown curve, i.e the second of the three SAR wind profile estimates in Fig.…”

Section: Discussionmentioning

confidence: 99%

Revealing short-term dynamics of tropical cyclone wind speeds from satellite synthetic aperture radar

Avenas,

Chapron,

Mouche

et al. 2024

Sci Rep

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Both unresolved physics in numerical models and limited theoretical understanding of the small-scale diffusion processes occurring near the ocean surface hamper predictability of tropical cyclone (TC) wind changes. An analytical model is here developed to diagnose the short-term evolution of the TC wind profile. An effective frictional parameter is introduced to control the unknown diffusion effects. When this frictional parameter is adjusted to match the TC intensity change, solutions are consistent with observed high-resolution ocean surface wind speeds from satellite synthetic aperture radar (SAR). The initial high-resolution estimate of the near-core wind structure is then found to strongly modulate the wind profile evolution. The frictional parameter can, unfortunately, not efficiently be calibrated using outer-core wind speed changes. Low-resolution observations or standard numerical weather predictions may thus not be directly used to reinterpret and anticipate short-term TC wind changes. The expected accumulation of orbiting SAR sensors as well as improved measurements of the ocean-atmosphere boundary layer characteristics shall then become essential to more precisely monitor TC dynamics.

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Section: Discussionmentioning

confidence: 99%