Retrieval of sea surface winds under hurricane conditions from GNSS-R observations
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摘要: 利用全球导航卫星系统在地球表面的反射信号(GNSS-R)进行海面风速反演已经被广泛研究并作为一种重要的遥感手段。目前,该L波段微波信号的相关功率已可以在多普勒频率和时延码片空间进行多普勒时延图像的成像。由于该图像的图像特征与海面粗糙度有较高的相关性,因此能够用来进行海面风场反演。然而,对于该遥感手段而言,其双基雷达前向散射截面(BRCS)理论上与海面粗糙度有更高的相关性,如同目前合成孔径雷达使用后向雷达散射截面而非相关功率。所以,本文通过改进已有的GNSS-R的双基雷达散射截面方程,代替相关功率在多普勒时延空间进行成像,得出了与海面粗糙度相关的双基雷达散射截面图像(BRCS map)。基于该图像,本文提出了三种与其形状特征相关的观测量,通过2005年Dennis飓风GNSS-R机载数据生成的16000多幅图像进行地球物理模式函数建模并与经典的一维时延波形匹配方法得出结果进行对比分析,得出更为精确的风速反演结果。
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关键词:
- GNSS-R /
- Dennis飓风 /
- 多普勒时延图像 /
- 双基雷达散射截面图像 /
- 海面风速
Abstract: Reflected signals from global navigation satellite systems (GNSSs) have been widely acknowledged as an important remote sensing tool for retrieving sea surface wind speeds. The power of GNSS reflectometry (GNSS-R) signals can be mapped in delay chips and Doppler frequency space to generate delay Doppler power maps (DDMs), whose characteristics are related to sea surface roughness and can be used to retrieve wind speeds. However, the bistatic radar cross section (BRCS), which is strongly related to the sea surface roughness, is extensively used in radar. Therefore, a bistatic radar cross section (BRCS) map with a modified BRCS equation in a GNSS-R application is introduced. On the BRCS map, three observables are proposed to represent the sea surface roughness to establish a relationship with the sea surface wind speed. Airborne Hurricane Dennis (2005) GNSS-R data are then used. More than 16 000 BRCS maps are generated to establish GMFs of the three observables. Finally, the proposed model and classic one-dimensional delay waveform (DW) matching methods are compared, and the proposed model demonstrates a better performance for the high wind speed retrievals. -
Apel J R.1994.An improved model of the ocean surface wave vector spectrum and its effects on radar backscatter.Journal of Geo physical Research:Oceans (1978-2012),99(C8):16269-16291 JING Cheng et al.Acta Oceanol.Sin.,2016,Vol.35,No.9,P.91-97 Clarizia M P,Gommenginger C,Di Bisceglie M,et al.2012.Simulation of L-band bistatic returns from the ocean surface:a facet approach with application to ocean GNSS reflectometry.IEEE Transactions on Geoscience and Remote Sensing,50(3):960-971 Clarizia M P,Ruf C S,Jales P,et al.2014.Spaceborne GNSS-R minimum variance wind speed estimator.IEEE Transactions on Geoscience and Remote Sensing,52(11):6829-6843 De Vos Van Steenwijk R,Unwin M,Jales P.2010.Introducing the SGR-ReSI:A next generation spaceborne GNSS receiver for navigation and remote-sensing.In:Processing of the 5th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC).Noordwijk:IEEE,1-7 Dickinson J R,Alvarez J L,McDaniel L T,et al.2014.CYGNSS command and data subsystem and electrical power subsystem phase A and B developments.In:Processing of the 2014 IEEE Aerospace Conference.Big Sky,MT:IEEE,1-10 Donelan M A,Haus B K,Reul N,et al.2004.On the limiting aerodynamic roughness of the ocean in very strong winds.Geophysical Research Letters,31(18):L18306 Durden S L,Vesecky J F.1985.A physical radar cross-section model for a wind-driven sea with swell.IEEE Journal of Oceanic Engineering, 10(4):445-451 Elfouhaily T,Chapron B,Katsaros K,et al.1997.A unified directional spectrum for long and short wind-driven waves.Journal of Geophysical Research:Oceans (1978-2012),102(C7):15781-15796 Elfouhaily T,Thompson D R,Linstrom L.2002.Delay-Doppler analysis of bistatically reflected signals from the ocean surface:theory and application.IEEE Transactions on Geoscience and Remote Sensing,40(3):560-573 Foti G,Gommenginger C,Jales P,et al.2015.Spaceborne GNSS reflectometry for ocean winds:First results from the UK TechDemoSat-1 mission.Geophysical Research Letters,42(13):5435-5441 Garrison J L,Katzberg S J,Zavorotny V U,et al.2000.Comparison of sea surface wind speed estimates from reflected GPS signals with buoy measurements.In:Proceedings of the IEEE 2000 International Geoscience and Remote Sensing Symposium.Honolulu, HI:IEEE,3087-3089 Garrison J L,Komjathy A,Zavorotny V U,et al.2002.Wind speed measurement using forward scattered GPS signals.IEEE Transactions on Geoscience and Remote Sensing,40(1):50-65 Gleason S.2013.Space-based GNSS scatterometry:Ocean wind sensing using an empirically calibrated model.IEEE Transactions on Geoscience and Remote Sensing,51(9):4853-4863 Gleason S,Zavorotny V.2006.Bistatic radar cross section measurements of ocean scattered GPS signals from low earth orbit.In:Proceedings of the IEEE International Conference on Geoscience and Remote Sensing Symposium.Denver,CO:IEEE:1308-1311 Katzberg S J,Dunion J.2009.Comparison of reflected GPS wind speed retrievals with dropsondes in tropical cyclones.Geophysical Research Letters,36(17):L17602 Katzberg S J,Garrison J L.1996.Utilizing GPS to Determine Ionospheric Delay over the Ocean.Hampton,Virginia:National Aeronautics and Space Administration Katzberg S J,Torres O,Ganoe G.2006.Calibration of reflected GPS for tropical storm wind speed retrievals.Geophysical Research Letters, 33(18):L18602 Komjathy A,Armatys M,Masters D,et al.2004.Retrieval of ocean surface wind speed and wind direction using reflected GPS signals. Journal of Atmospheric and Oceanic Technology,21(3):515-526 Komjathy A,Zavorotny V U,Axelrad P,et al.2000.GPS signal scattering from sea surface:wind speed retrieval using experimental data and theoretical model.Remote Sensing of Environment, 73(2):162-174 Kudryavtsev V N,Makin V K,Chapron B.1999.Coupled sea surface-atmosphere model:2.Spectrum of short wind waves.Journal of Geophysical Research:Oceans (1978-2012),104(C4):7625-7639 Lee T,Li Z,Lowe S,et al.2013.Observing Energetic Eddies with GNSS reflections from the ISS.Communication to the ESA Science Advisory Group of the GEROS Mission Li Chen,Huang Weimin.2014.An algorithm for sea-surface wind field retrieval from GNSS-R delay-Doppler map.IEEE Geoscience and Remote Sensing Letters,11(12):2110-2114 Martin-Neira M.1993.A passive reflectometry and interferometry system (PARIS):application to ocean altimetry.ESA Journal,17:331-355 Rodriguez-Alvarez N,Akos D M,Zavorotny V U,et al.2013.Airborne GNSS-R wind retrievals using delay-doppler maps.IEEE Transactions on Geoscience and Remote Sensing,51(1):626-641 Ruf C S,Gleason S,Jelenak Z,et al.2012.The CYGNSS nanosatellite constellation hurricane mission.In:Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium(IGARSS).Munich:IEEE,214-216 Ruf C,Lyons A,Unwin M,et al.2013.CYGNSS:enabling the future of hurricane prediction[remote sensing satellites].IEEE Geoscience and Remote Sensing Magazine,1(2):52-67 Unwin M,De Vos Van Steenwijk R,Gommenginger C,et al.2010.The SGR-ReSI-a new generation of space GNSS receiver for remote sensing.In:Proceedings of the 23rd International Technical Meeting of the Satellite Division of the Institute of Navigation(ION GNSS 2010).Portland,OR:1061-1067 Unwin M,Gleason S,Brennan M.2003.The space GPS reflectometry experiment on the UK disaster monitoring constellation satellite.In:Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS/GNSS 2003).Portland,OR,2656-2663 Unwin M,Jales P,Blunt P,et al.2013.The SGR-ReSI and its application for GNSS reflectometry on the NASA EV-2 CYGNSS mission.In:Proceedings of the 2013 IEEE Aerospace Conference.Big Sky,MT:IEEE,1-6 Valencia E,Camps A,Marchan-Hernandez J F,et al.2011.Ocean surface's scattering coefficient retrieval by delay-Doppler map inversion.IEEE Geoscience and Remote Sensing Letters,8(4):750-754 Valencia E,Zavorotny V U,Akos D M,et al.2014.Using DDM asymmetry metrics for wind direction retrieval from GPS ocean-scattered signals in airborne experiments.IEEE Transactions on Geoscience and Remote Sensing,52(7):3924-3936 Wickert J,Andersen O B,Beyerle G,et al.2013.GEROS-ISS:GNSS reflectometry, radio occultation and scatterometry onboard the international space station.In:Proceedings of the 4th International Colloquium on Scientific and Fundamental Aspects of the Galileo Programme.Prague:ESA,3 Zavorotny V U,Voronovich A G.2000.Scattering of GPS signals from the ocean with wind remote sensing application.IEEE Transactions on Geoscience and Remote Sensing,38(2):951-964
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