Articles | Volume 14, issue 12
https://doi.org/10.5194/amt-14-7435-2021
https://doi.org/10.5194/amt-14-7435-2021
Research article
 | 
30 Nov 2021
Research article |  | 30 Nov 2021

Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry

Xingou Xu and Ad Stoffelen

Related authors

Sea Ice Screening Ability in Ku Band and C Band Wind Scatterometry
Xingou Xu and Ad Stoffelen
EGUsphere, https://doi.org/10.5194/egusphere-2024-3840,https://doi.org/10.5194/egusphere-2024-3840, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
An Improvement of the One-dimensional Ocean Wave Description based on SWIM Observations
Yihui Wang and Xingou Xu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-75,https://doi.org/10.5194/amt-2024-75, 2024
Preprint under review for AMT
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Improved consistency in solar-induced fluorescence retrievals from GOME-2A with the SIFTER v3 algorithm
Juliëtte C. S. Anema, K. Folkert Boersma, Lieuwe G. Tilstra, Olaf N. E. Tuinder, and Willem W. Verstraeten
Atmos. Meas. Tech., 18, 1961–1979, https://doi.org/10.5194/amt-18-1961-2025,https://doi.org/10.5194/amt-18-1961-2025, 2025
Short summary
An information content approach to diagnosing and improving CLIMCAPS retrieval consistency across instruments and satellites
Nadia Smith and Christopher D. Barnet
Atmos. Meas. Tech., 18, 1823–1839, https://doi.org/10.5194/amt-18-1823-2025,https://doi.org/10.5194/amt-18-1823-2025, 2025
Short summary
Characterizing urban planetary boundary layer dynamics using 3-year Doppler wind lidar measurements in a western Yangtze River Delta city, China
Tianwen Wei, Mengya Wang, Kenan Wu, Jinlong Yuan, Haiyun Xia, and Simone Lolli
Atmos. Meas. Tech., 18, 1841–1857, https://doi.org/10.5194/amt-18-1841-2025,https://doi.org/10.5194/amt-18-1841-2025, 2025
Short summary
Radar-based high-resolution ensemble precipitation analyses over the French Alps
Matthieu Vernay, Matthieu Lafaysse, and Clotilde Augros
Atmos. Meas. Tech., 18, 1731–1755, https://doi.org/10.5194/amt-18-1731-2025,https://doi.org/10.5194/amt-18-1731-2025, 2025
Short summary
Gravity waves above the northern Atlantic and Europe during streamer events using Aeolus
Sabine Wüst, Lisa Küchelbacher, Franziska Trinkl, and Michael Bittner
Atmos. Meas. Tech., 18, 1591–1607, https://doi.org/10.5194/amt-18-1591-2025,https://doi.org/10.5194/amt-18-1591-2025, 2025
Short summary

Cited articles

Bony, S., Stevens, B., Frierson, D., Jakob, C., Kageyama, M., Pincus, R., Shepherd, T. G., Sherwood, S. C., Siebesma, A. P., and Sobel, A. H.: Clouds, circulation and climate sensitivity, Nat. Geosci., 8, 261–268, https://doi.org/10.1038/ngeo2398, 2015. 
Chang, C.-C. and Lin, C.-J.: LIBSVM: A library for support vector machines, ACM Trans. Intell. Syst. Technol.​​​​​​​, 2, 27, https://doi.org/10.1145/1961189.1961199, 2011. 
Chelton, D. B., Schlax, M. G., Samelson, R. M., Farrar, J. T., Molemaker, M. J., McWilliams, J. C., and Gula, J.: Prospects for future satellite estimation of small-scale variability of ocean surface velocity and vorticity, Prog. Oceanogr., 173, 256–350, https://doi.org/10.1016/j.pocean.2018.10.012, 2019. 
Cornford, D., Nabney, I. T., and Bishop, C. M.: Neural network-based wind vector retrieval from satellite scatterometer data, Neural Comput. Appl., 8, 206–217, https://doi.org/10.1007/s005210050023, 1999. 
Courtier, P., Thépaut, J. N., and Hollingsworth, A.: A strategy for operational implementation of 4D-Var, using an incremental approach, Q. J. Roy. Meteor. Soc., 120, 1367–1387, https://doi.org/10.1002/qj.49712051912, 1994. 
Download
Short summary
The support vector machine can effectively represent the increasing effect of rain affecting wind speeds. This research provides a correction of deviations that are skew- to Gaussian-like features caused by rain in Ku-band scatterometer wind. It demonstrates the effectiveness of a machine learning method when used based on elaborate analysis of the model establishment and result validation procedures. The corrected winds provide information previously lacking, which is vital for nowcasting.
Share