WANG Jin, ZHANG Jie, WANG Jing. Sea surface wind speed retrieval under rain with the HY-2 microwave radiometer[J]. Acta Oceanologica Sinica, 2017, 36(7): 32-38. doi: 10.1007/s13131-017-1080-5
Citation: WANG Jin, ZHANG Jie, WANG Jing. Sea surface wind speed retrieval under rain with the HY-2 microwave radiometer[J]. Acta Oceanologica Sinica, 2017, 36(7): 32-38. doi: 10.1007/s13131-017-1080-5

Sea surface wind speed retrieval under rain with the HY-2 microwave radiometer

doi: 10.1007/s13131-017-1080-5
  • Received Date: 2016-03-30
  • Rev Recd Date: 2016-09-05
  • As rain drops change the radiation and scattering characteristic of the oceans and the atmosphere, the wind speed measuring by spaceborne remote sensors under rainy conditions remains challenging for years. On the basis of a microwave radiometer (RM) loaded on HY-2 satellite, the sensitivity of some brightness temperature (TB) channels to a rain rate and the wind speed are analyzed. Consequently, two TB combinations which show minor sensitivity to rain are obtained. Meanwhile, the sensitivity of the TB combination to the wind speed is even better to the original TB channel. On the basis of these TB combinations, a wind speed retrieval algorithm is developed and compared with WindSat all-weather wind speed product, HY-2 RM original wind speed product and buoy in situ data. The wind speed retrieval accuracy is better than 2 m/s for rainy conditions, which is evidently superior to HY-2 RM original product. The applicability of this new algorithm is testified for the wind speed measuring in rainy weather with HY-2 RM.
  • loading
  • Adams I S, Hennon C C, Jones W L, et al. 2006. Evaluation of hurricane ocean vector winds from WindSat. IEEE Trans Geosci Remote Sens, 44(3): 656-667
    Amarin R A, Jones W L, El-Nimri S F, et al. 2012. Hurricane wind speed measurements in rainy c onditions using the airborne hurricane imaging radiometer (HIRAD). IEEE Trans Geosci Remote Sens, 50(1): 180-192
    Hiburn K A, Meissner T, Wentz F J, et al. 2016. Ocean vector winds from WindSat two-look polarimetric radiances. IEEE Trans Geosci Remote Sens, 54(2): 918-931
    Huang Xiaoqi, Zhu Jianhua, Lin Mingsen, et al. 2014. A preliminary assessment of the sea surface wind speed production of HY-2 scanning microwave radiometer. Acta Oceanologica Sinica, 33(1): 114-119
    Jiang Xingwei, Lin Mingsen, Liu Jianqiang, et al. 2012. The HY-2 satellite and its preliminary assessment. Int J Digit Earth, 5(3): 266-281
    Jiang Xingwei, Lin Mingsen, Song Qingtao. 2013. Active and passive microwave remote sensing technology of the HY-2A ocean satellite mission. Eng Sci (in Chinese), 15(7): 4-11
    Jones W L, Swift C T, Black P G, et al. 1981. Airborne microwave remote-sensing measurements of Hurricane Allen. Science, 214(4518): 274-280
    Klein L, Swift C. 1977. An improved model for the dielectric constant of sea water at microwave frequencies. IEEE Trans Antennas Propag, 25(1): 104-111
    Martin S. 2004. An Introduction to Ocean Remote Sensing,: 237-238
    Meissner T, Wentz F J. 2009. Wind-vector retrievals under rain with passive satellite microwave radiometers. IEEE Trans Geosci Remote Sens, 47(9): 3065-3083
    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 Trans Geosci Remote Sens, 50(8): 3004-3026
    Reul N, Tenerelli J, Chapron B, et al. 2012. SMOS satellite L-band radiometer: a new capability for ocean surface remote sensing in hurricanes. J Geophys Res, 117(C2), doi: 10.1029/2011JC007474
    Ulaby F, Long D G. 2014. Microwave Radar and Radiometric Remote Sensing,: 896-897
    Wang Zhenzhan, Bao Jinghua, Li Yun, et al. 2014. Study on retrieval algorithm of ocean parameters for the HY-2 scanning microwave radiometer. Eng Sci (in Chinese), 16(6): 70-82
    Wang Jin, Zhang Jie, Fan Chenqing, et al. 2015. A new algorithm for sea-surface wind-speed retrieval based on the L-band radiometer onboard Aquarius. Chin J Oceanol Limnol, 33(5): 1115-1123
    Wang He, Zhu Jianhua, Lin Mingsen, et al. 2013. First six months quality assessment of HY-2A SCAT wind products using in situ measurements. Acta Oceanologica Sinica, 32(11): 27-33
    Weissman D E, Stiles B W, Hristova-veleva S M, et al. 2012. Challenges to satellite sensors of ocean winds: addressing precipitation effects. J Atmos Oceanic Technol, 29(3): 356-374
    Wentz F J. 1983. A model function for ocean microwave brightness temperatures. J Geophys Res, 88(C3): 1892-1908
    Wentz F J. 1997. A well-calibrated ocean algorithm for special sensor microwave/imager. J Geophys Res, 102(C4): 8703-8718
    Wentz F J, Spencer R W. 1998. SSM/I rain retrievals within a unified all-weather ocean algorithm. J Atmos Sci, 55(9): 1613-1627
    Zabolotskikh E, Mitnik L, Reul N, et al. 2015. New possibilities for geophysical parameter retrievals opened by GCOM-W1 AMSR2. IEEE J Sel Top Appl Earth Obs Remote Sens, 8(9): 4248-4261
    Zhou Wu, Lin Mingsen, Li Yanmin, et al. 2013. Study of cold sky calibration and geophysical parameters retrieval for HY-2A satellite scanning microwave radiometer. Eng Sci (in Chinese), 15(7): 75-80
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (845) PDF downloads(465) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return