The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Hurricane Surface Wind Measurements from an Operational Stepped Frequency Microwave Radiometer
Open accessAbstract
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.
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Cites
Robust regression using iteratively reweighted least-squares.
Holland, P. W., & Welsch, R. E. (1977) · Communications in Statistics - Theory and Methods · doi:10.1080/03610927708827533 · Cited by 2,115
A model function for ocean microwave brightness temperatures
Wentz, F. J. (1983) · Journal of Geophysical Research: Oceans · doi:10.1029/jc088ic03p01892 · Cited by 210
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Self-citationMeissner, T., & Wentz, F. J. (2012) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2011.2179662 · Cited by 362
A New Paradigm in Earth Environmental Monitoring with the CYGNSS Small Satellite Constellation
Ruf, C. S., Chew, C., Lang, T., Morris, M. G., Nave, K., Ridley, A., & Balasubramaniam, R. (2018) · Scientific Reports · doi:10.1038/s41598-018-27127-4 · Cited by 313
Assessment of CYGNSS Wind Speed Retrieval Uncertainty
Ruf, C. S., Gleason, S., & McKague, D. S. (2019) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2018.2825948 · Cited by 128
Atlantic Hurricane Season of 2008*
Brown, D. P., Beven, J. L., Franklin, J. L., & Blake, E. S. (2010) · Monthly Weather Review · doi:10.1175/2009mwr3174.1 · Cited by 54
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Metadata
- Authors
- Uhlhorn, E. W., Black, P. G., Franklin, J. L., Goodberlet, M., Carswell, J., & Goldstein, A. S.
- Venue
- Monthly Weather Review
- Publisher
- American Meteorological Society
- Published
- 2007-09-01
- Volume
- 135
- Issue
- 9
- Pages
- 3070-3085
- ISSN
- 0027-0644 (ISSN-L)
- 1520-0493
- OpenAlex
- W2012392621
- Cited by
- 319
- References
- 2
- FWCI
- 11.69
- Type
- journal article
- Language
- en
- Open access
- bronze
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