4.7 Article

Estimating Tropical Cyclone Wind Structure and Intensity From Spaceborne Radiometer and Synthetic Aperture Radar

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTARS.2021.3065866

关键词

Wind speed; Synthetic aperture radar; Microwave radiometry; Sea surface; Tropical cyclones; Satellite broadcasting; Oceans; Intensity; radiometer; synthetic aperture radar (SAR); tropical cyclone (TC); wind structure

资金

  1. National Science Foundation of China [42061134016, 42076181]
  2. Russian Science Foundation [42061134016]
  3. Shanghai Typhoon Foundation [TFJJ201902]
  4. International Cooperation Project of the National Natural Science Foundation of China [41620104003]
  5. European Space Agency-Ministry of Science and Technology China Dragon-5 Programme [58290]
  6. Government Research Initiative Program of the Canadian Space Agency
  7. Ocean Frontier Institute of Dalhousie University, Fisheries and Oceans Canada Surface Water and Ocean Topography program
  8. National Oceanic and Atmospheric Administration [NA14NWS4680028]
  9. National Science Foundation [AGS1822128]

向作者/读者索取更多资源

A simple method using radiometer and SAR wind field data to estimate tropical cyclone wind structure and intensity has been presented. The method shows high accuracy and reliability compared to best-track estimates, providing effective measurements for wind radii and intensity parameters.
We present a relatively simple method to estimate tropical cyclone (TC) surface wind structure (34-, 50-, and 64-kt wind radii) and intensity [maximum wind speed (MWS)] from wind fields acquired from the L-band SMAP radiometer and C-band Sentinel-1A/B and RADARSAT-2 synthetic aperture radar (SAR) between 2015 and 2020. The radiometer and SAR-derived wind radii and MWS are systematically compared with the best-track estimates. The root-mean-square errors (RMSEs) of R34, R50, and R64 are 31.2, 21.8, and 17.0 nmi (1 nmi = 1.852 km) for radiometer, and 21.7, 16.5, and 16.3 nmi for SAR, respectively. These error values are smaller than the averaged best-track uncertainty estimates for the three wind radii. Compared with the best-track reports, the bias and RMSE for the MWS estimates are -0.2 m/s and 5.8 m/s for radiometer, and 4.4 m/s and 9.1 m/s for SAR, respectively. These results are for the wind speeds in the range of 17-80 m/s. For the two typical TCs (Lionrock and Noru) in the Northwest Pacific Ocean, our results show that a combination of the radiometer and SAR wind data acquired within a very short time interval has the potential to simultaneously obtain reasonable measurements of the wind radii and intensity parameters. Moreover, for a TC with a long lifecycle, such as Typhoon Noru, we demonstrate that the high-resolution and multitemporal synergistic observations from SAR and radiometer are valuable for studying fine-scale features of the wind field and characteristics of wind asymmetry associated with intensity change, as well as the evolution of TC surface wind structure and intensity.

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