Satellite retrieval of hurricane wind speeds using the AMSR2 microwave radiometer

Panpan Yao; Jianhua Wan; Jin Wang; Jie Zhang

doi:10.1007/s00343-015-4131-9

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Satellite retrieval of hurricane wind speeds using the AMSR2 microwave radiometer

OriginalPaper | Updated：2023-05-16

- Satellite retrieval of hurricane wind speeds using the AMSR2 microwave radiometer
- Satellite retrieval of hurricane wind speeds using the AMSR2 microwave radiometer
- 海洋湖沼学报（英文） 2015年33卷第5期页码：1104-1114
- Affiliations：
  
  1. State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences
  2. First Institute of Oceanography State Oceanic Administration
  3. School of Geosciences China University of Petroleum
  4. College of Physics Qingdao University
- Author bio：
- Funds：
  
  Supported by the National High Technology Research and Development Program of China (863 Program) (No. 2013AA09A505)
- DOI：10.1007/s00343-015-4131-9
  中图分类号：
- 网络首发：2015-01-08，
  
  纸质出版：2015
- Accepted：
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Satellite retrieval of hurricane wind speeds using the AMSR2 microwave radiometer[J]. 海洋湖沼学报（英文）, 2015,33(5):1104-1114.

Yao, P., Wan, J., Wang, J. et al. Satellite retrieval of hurricane wind speeds using the AMSR2 microwave radiometer., Chin. J. Ocean. Limnol. 33, 1104–1114 (2015). https://doi.org/10.1007/s00343-015-4131-9
Satellite retrieval of hurricane wind speeds using the AMSR2 microwave radiometer[J]. 海洋湖沼学报（英文）, 2015,33(5):1104-1114. DOI： 10.1007/s00343-015-4131-9.

Yao, P., Wan, J., Wang, J. et al. Satellite retrieval of hurricane wind speeds using the AMSR2 microwave radiometer., Chin. J. Ocean. Limnol. 33, 1104–1114 (2015). https://doi.org/10.1007/s00343-015-4131-9 DOI：

摘要

Abstract

The AMSR2 microwave radiometer is the main payload of the GCOM-W1 satellite

launched by the Japan Aerospace Exploration Agency in 2012. Based on the pre-launch information extraction algorithm

the AMSR2 enables remote monitoring of geophysical parameters such as sea surface temperature

wind speed

water vapor

and liquid cloud water content. However

rain alters the properties of atmospheric scattering and absorption

which contaminates the brightness temperatures measured by the microwave radiometer. Therefore

it is difficult to retrieve AMSR2-derived sea surface wind speeds under rainfall conditions. Based on microwave radiative transfer theory

and using AMSR2 L1 brightness temperature data obtained in August 2012 and NCEP reanalysis data

we studied the sensitivity of AMSR2 brightness temperatures to rain and wind speed

from which a channel combination of brightness temperature was established that is insensitive to rainfall

but sensitive to wind speed. Using brightness temperatures obtained with the proposed channel combination as input parameters

in conjunction with HRD wind field data

and adopting multiple linear regression and BP neural network methods

we established an algorithm for hurricane wind speed retrieval under rainfall conditions. The results showed that the standard deviation and relative error of retrievals

obtained using the multiple linear regression algorithm

were 3.1 m/s and 13%

respectively. However

the standard deviation and relative error of retrievals obtained using the BP neural network algorithm were better (2.1 m/s and 8%

respectively). Thus

the results of this paper preliminarily verified the feasibility of using microwave radiometers to extract sea surface wind speeds under rainfall conditions.

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Keywords

references

Hollinger J, Peirce J L, Poe G. 1990. SSM/I instrument description. IEEE Transactions on Geoscience and Remote Sensing, 28 (5): 781–790.

ITU-R. 2007. Recommendation p.676-7. Attenuation by Atmospheric Gases. International Telecommunication Union, Geneva, Switzerland. p.1–23.

Liebe H J. (1989. MPM-An atmospheric millimeter-wave propagation model. International Journal of Infrared and Millimeter Waves, 10 (6): 631–650.

Liou K N. 1980. An Introduction to Atmospheric Radiation. Chapter 3: Absorption and Scattering of Solar Radiation in the Atmosphere. 2nd edn, vol. 84. Academic Press, Elsevier Science, San Diego. p.65–115.

Meissner T, Wentz F J. (2008. Wind retrievals under rain for passive satellite microwave radiometers and its application to hurricane tracking. Microwave Radiometry and Remote Sensing of the Environment. MICRORA. 2008. IEEE, 2008: 1–4.

Meissner T, Wentz F J. (2009. Wind-vector retrievals under rain with passive satellite microwave radiometers. IEEE Transactions on Geoscience and Remote Sensing, 47 (9): 3065–3083, http://dx.doi.org/10.1109/TGRS.2009.2027012.

Meissner T, Wentz F J. (2012. The emissivity of the ocean surface between 6 and 90 GHz over a large range of wind speeds and earth incidence angles. IEEE Transactions on Geoscience and Remote Sensing, 50 (8): 3004–3026.

Wang Z Z, Li Y. 2009. Ocean geophysical parameters retrieval with microwave radiometer AMSR-E. Journal of Remote Sensing, 13 (3): 367, http://dx.doi.org/10.11834/jrs.20090302. (in Chinese with English abstract)

Wentz F J, Meissner. 2000. AMSR ocean algorithm. Algorithm Theoretical Basis Document 121599A-1 01/2000. Version 2. Prepared for EOS Project, Goddard Space Flight Center, National Aeronautics and Space Administration. Greenbelt, MD 20771. Prepared by Remote Sensing Systems. Santa Rosa, Calif. p.1-59.

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