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Updated: Jun 9, 2026

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
Published on: June 8, 2015
Reduced drag coefficient for high wind speeds in tropical cyclones
Mark D Powell1, Peter J Vickery, Timothy A Reinhold
1National Oceanic and Atmospheric Administration, Atlantic Oceanographic and Meteorological Laboratory, Hurricane Research Division, Miami, Florida 33149, USA. Mark.Powell@noaa.gov
Momentum transfer between ocean and atmosphere under extreme winds shows surface flux leveling off, contrary to current models. This finding impacts hurricane prediction and risk assessment.
Area of Science:
- Atmospheric science
- Oceanography
- Geophysics
Background:
- Atmospheric-ocean momentum transfer is key for weather and climate.
- Direct measurements are limited to low wind speeds, necessitating extrapolation for extreme conditions.
- Tropical cyclones present unique challenges for understanding marine boundary layer dynamics.
Purpose of the Study:
- To analyze wind profiles and momentum transfer in tropical cyclones using GPS sonde data.
- To investigate surface momentum flux behavior under hurricane-force winds.
- To compare findings with existing surface flux parameterizations used in climate models.
Main Methods:
- Utilized Global Positioning System (GPS) sondes to measure wind speed profiles in the marine boundary layer.
- Analyzed data from 1997 onwards, focusing on tropical cyclone conditions.
- Determined surface stress, roughness length, and neutral stability drag coefficient.
Main Results:
- Observed a logarithmic increase in wind speed with height up to 200 m.
- Identified maximum wind speeds at 500 m, with gradual weakening up to 3 km.
- Found that surface momentum flux levels off at wind speeds exceeding hurricane force.
Conclusions:
- Current surface flux parameterizations used in climate and risk assessment models may be inaccurate for extreme wind conditions.
- The leveling off of momentum flux challenges existing models of atmospheric-ocean interaction.
- This research provides crucial data for improving hurricane modeling and prediction accuracy.
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