Combined active/passive hurricane wind retrieval algorithm for the seawinds scatterometer

被引:0
|
作者
Adams, IS [1 ]
Jones, WL [1 ]
Park, JD [1 ]
Kasparis, T [1 ]
机构
[1] Univ Cent Florida, Sch Elect Engn & Comp Sci, Cent Florida Remote Sensing Lab, Orlando, FL 32816 USA
关键词
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Because of their high wind-gradient structures, tropical cyclones (TC's) present a major challenge to space-borne scatterometer measurements of ocean surface wind vectors. Frequently spiral bands of strong rains accompany the high winds, and this precipitation attenuates the ocean backscatter due to wind. Also scattering by the rain volume increases the backscatter measured by the scatterometer. Furthermore, traditional geophysical model functions (GMF), which relate wind speed and direction with radar backscatter (sigma-0), have not been tuned for the high wind conditions of TC's. The SeaWinds scatterometer has the ability to measure simultaneously the ocean backscatter and brightness temperature. By using this combined active/passive approach, simultaneous wind and rain estimates are made in TC's. Rain rate, determined passively, is used to model both the attenuative and scattering effects of rain. These parameters are used to correct the measured ocean sigma-0 at 12.5 km resolution; Wind Speed retrievals are performed using a special TC-GMF developed using airborne scatterometer measurements in hurricanes. SeaWinds wind speed results for several hurricanes occurring between 1999 and 1002 compare well with high-resolution surface wind fields available from NOAA's Hurricane Research Division aircraft flights.
引用
收藏
页码:1253 / 1256
页数:4
相关论文
共 50 条
  • [41] Ocean Vector Wind Retrievals From TRMM Using a Novel Combined Active/Passive Algorithm
    Hossan, Alamgir
    Jacob, Maria Marta
    Jones, W. Linwood
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 : 5569 - 5579
  • [42] BAYESIAN COMBINED ACTIVE/PASSIVE (B-CAP) SOIL MOISTURE RETRIEVAL ALGORITHM: A RIGOROUS RETRIEVAL SCHEME FOR SMAP MISSION
    Barber, Matias
    Bruscantini, Cintia
    Grings, Francisco
    Karszenbaum, Haydee
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 21 - 24
  • [43] Sea Surface Salinity and Wind Retrieval Using Combined Passive and Active L-Band Microwave Observations
    Yueh, Simon H.
    Chaubell, Julian
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (04): : 1022 - 1032
  • [44] Simultaneous wind and rain retrieval for ERS scatterometer measurements
    Nie, Congling
    Long, David G.
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 4455 - 4458
  • [45] A Reconstruction Approach to Scatterometer Wind Vector Field Retrieval
    Williams, Brent A.
    Long, David G.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2011, 49 (06): : 1850 - 1864
  • [46] A STUDY ON POLARIMETRIC SCATTEROMETER SIMULATION AND WIND VECTOR RETRIEVAL
    Tian, Dongxuan
    Xie, Xuetong
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 8132 - 8135
  • [47] SeaWinds-1B: a combination of ku-band scatterometer and wind radiometer for global ocean wind measurements
    Tsai, WY
    Graf, JE
    Winn, C
    Yueh, S
    SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES, 1997, 3221 : 346 - 356
  • [48] Wind stress measurements from the QuikSCAT-SeaWinds scatterometer tandem mission and the impact on an ocean model
    Lee, Tong
    Wang, Ou
    Tang, Wenqing
    Liu, W. Timothy
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2008, 113 (C12)
  • [49] Development of a statistical method for eliminating improbable wind aliases in scatterometer wind retrieval
    Oliphant, TE
    Long, DG
    IGARSS '96 - 1996 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM: REMOTE SENSING FOR A SUSTAINABLE FUTURE, VOLS I - IV, 1996, : 1715 - 1717
  • [50] WIND RETRIEVAL PROCESSING FOR HY-2A MICROWAVE SCATTEROMETER
    Zou, Juhong
    Xie, Xuetong
    Zhang, Yi
    Lin, Mingsen
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 5160 - 5163