QuikSCAT wind retrievals for tropical cyclones

The use of QuikSCAT data for wind retrievals of tropical cyclones is described. The evidence of QuikSCAT /spl sigma//sub 0/ dependence on wind direction for >30-m/s wind speeds is presented. The QuikSCAT /spl sigma//sub 0/s show a peak-to-peak wind direction modulation of /spl sim/1 dB at 35-m/s wind speed, and the amplitude of modulation decreases with increasing wind speed. The decreasing directional sensitivity to wind speed agrees well with the trend of QSCAT1 model function at near 20 m/s. A correction of the QSCAT1 model function for above 23-m/s wind speed is proposed. We explored two microwave radiative transfer models to correct the attenuation and scattering effects of rain for wind retrievals. One is derived from the collocated QuikSCAT and Special Sensor Microwave/Imager (SSM/I) dataset, and the other one is a published parametric model developed for rain radars. These two radiative transfer models account for the effects of volume scattering, scattering from rain-roughened surfaces and rain attenuation. The models suggest that the /spl sigma//sub 0/s of wind-roughened sea surfaces for 40-50-m/s winds are comparable to the /spl sigma//sub 0/s of rain contributions for up to about 10-15 mm/h. Both radiative transfer models have been used to retrieve the ocean wind vectors from the collocated QuikSCAT and SSM/I rain rate data for several tropical cyclones. The resulting wind speed estimates of these tropical cyclones show improved agreement with the wind fields derived from the best track analysis and Holland's model for up to about 15-mm/h SSM/I rain rate. A comparative analysis of maximum wind speed estimates suggests that other rain parameters likely have to be considered for further improvements.

[1]  Simon Yueh,et al.  Dual-polarized Ku-band backscatter signatures of hurricane ocean winds , 2000, IEEE Trans. Geosci. Remote. Sens..

[2]  V. F. Dvorak Tropical Cyclone Intensity Analysis and Forecasting from Satellite Imagery , 1975 .

[3]  Bryan W. Stiles,et al.  Impact of rain on spaceborne Ku-band wind scatterometer data , 2002, IEEE Trans. Geosci. Remote. Sens..

[4]  G. Holland An Analytic Model of the Wind and Pressure Profiles in Hurricanes , 1980 .

[5]  Christophe Craeye,et al.  Rain generated ring-waves: Measurements and modelling for remote sensing , 1997 .

[6]  Josko Zec,et al.  Validation of QuikSCAT Radiometer rain rates using the TRMM microwave radiometer , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[7]  Robert E. McIntosh,et al.  Revised ocean backscatter models at C and Ku band under high-wind conditions , 1999 .

[8]  W. Timothy Liu,et al.  QuikSCAT geophysical model function for tropical cyclones and application to Hurricane Floyd , 2001, IEEE Trans. Geosci. Remote. Sens..

[9]  W. Linwood Jones,et al.  Erratum: ``NSCAT high-resolution surface wind measurements in Typhoon Violet'' , 1999 .

[10]  Son V. Nghiem,et al.  Airborne scatterometers: investigating ocean backscatter under low- and high-wind conditions , 1994 .

[11]  Yoshio Kurihara,et al.  Improvements in Tropical Cyclone Track and Intensity Forecasts Using the GFDL Initialization System , 1993 .

[12]  L. Zeng,et al.  Scatterometer Observations at High Wind Speeds , 1998 .

[13]  Ziad S. Haddad,et al.  A new parametrization of the rain drop size distribution , 1997, IEEE Trans. Geosci. Remote. Sens..

[14]  Robert A. Brown Remote sensing of the Pacific Ocean by satellites , 1998 .

[15]  S. Yueh,et al.  QuikSCAT and TRMM Reveal the Interplay Between Dynamic and Hydrologic Parameters in Hurricane Floyd , 2000 .

[16]  Roy W. Spencer,et al.  SSM/I Rain Retrievals within a Unified All-Weather Ocean Algorithm , 1998 .

[17]  Simon Yueh,et al.  Interplay between wind and rain observed in Hurricane Floyd , 2000 .

[18]  S. Dickinson,et al.  A Study of Near-Surface Winds in Marine Cyclones Using Multiple Satellite Sensors , 1996 .

[19]  W. Timothy Liu,et al.  Impact of Scatterometer Winds on Hydrologic Forcing and Convective Heating through Surface Divergence , 1997 .

[20]  Mark A. Bourassa,et al.  SeaWinds validation with research vessels , 2003 .