Hurricane Surface Wind Measurements from an Operational Stepped Frequency Microwave Radiometer

Author:

Uhlhorn Eric W.1,Black Peter G.1,Franklin James L.2,Goodberlet Mark3,Carswell James4,Goldstein Alan S.5

Affiliation:

1. NOAA/AOML/Hurricane Research Division, Miami, Florida

2. NOAA/NWS/TPC/National Hurricane Center, Miami, Florida

3. ProSensing, Inc., Amherst, Massachusetts

4. Remote Sensing Solutions, Inc., Barnstable, Massachusetts

5. NOAA/OMAO/Aircraft Operations Center, Tampa, Florida

Abstract

Abstract For the first time, the NOAA/Aircraft Operations Center (AOC) flew stepped frequency microwave radiometers (SFMRs) on both WP-3D research aircraft for operational hurricane surface wind speed measurement in 2005. An unprecedented number of major hurricanes provided ample data to evaluate both instrument performance and surface wind speed retrieval quality up to 70 m s−1 (Saffir–Simpson category 5). To this end, a new microwave emissivity–wind speed model function based on estimates of near-surface winds in hurricanes by global positioning system (GPS) dropwindsondes is proposed. For practical purposes, utilizing this function removes a previously documented high bias in moderate SFMR-measured wind speeds (10–50 m s−1), and additionally corrects an extreme wind speed (>60 m s−1) underestimate. The AOC operational SFMRs yield retrievals that are precise to within ∼2% at 30 m s−1, which is a factor of 2 improvement over the NOAA Hurricane Research Division’s SFMR, and comparable to the precision found here for GPS dropwindsonde near-surface wind speeds. A small (1.6 m s−1), but statistically significant, overall high bias was found for independent SFMR measurements utilizing emissivity data not used for model function development. Across the range of measured wind speeds (10–70 m s−1), SFMR 10-s averaged wind speeds are within 4 m s−1 (rms) of the dropwindsonde near-surface estimate, or 5%–25% depending on speed. However, an analysis of eyewall peak wind speeds indicates an overall 2.6 m s−1 GPS low bias relative to the peak SFMR estimate on the same flight leg, suggesting a real increase in the maximum wind speed estimate due to SFMR’s high-density sampling. Through a series of statistical tests, the SFMR is shown to reduce the overall bias in the peak surface wind speed estimate by ∼50% over the current flight-level wind reduction method and is comparable at extreme wind speeds. The updated model function is demonstrated to behave differently below and above the hurricane wind speed threshold (∼32 m s−1), which may have implications for air–sea momentum and kinetic energy exchange. The change in behavior is at least qualitatively consistent with recent laboratory and field results concerning the drag coefficient in high wind speed conditions, which show a fairly clear “leveling off” of the drag coefficient with increased wind speed above ∼30 m s−1. Finally, a composite analysis of historical data indicates that the earth-relative SFMR peak wind speed is typically located in the hurricane’s right-front quadrant, which is consistent with previous observational and theoretical studies of surface wind structure.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference34 articles.

1. Black, P. G., and C. L.Swift, 1984: Airborne stepped frequency microwave radiometer measurements of rainfall rate and surface wind speed in hurricanes. Preprints, Second Conf. on Radar Meteorology, Zurich, Switzerland, Amer. Meteor. Soc., 433–438.

2. Air–sea exchange in hurricane winds: Synthesis of observations from the Coupled Boundary Layer Air–Sea Transfer Experiment.;Black;Bull. Amer. Meteor. Soc.,2007

3. Blackadar, A. K. , 1965: A simplified two-layer model of the baroclinic neutral atmospheric boundary layer. Final report: Flux of heat and momentum in the planetary boundary layer of the atmosphere, The Pennsylvania State University, State College, PA, 140 pp.

4. Cardone, V. J. , 1969: Specification of the wind distribution in the marine boundary layer for wave forecasting. Dept. of Meteorology and Oceanography Tech. Rep. TR69-1, New York University, New York, NY, 131 pp.

5. Wind stress on a water surface.;Charnok;Quart. J. Roy. Meteor. Soc.,1955

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