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REMOTE SENSING OF NORTH ATLANTIC STORMS: SYNERGETIC USE OF ACTIVE MICROWAVE AND OPTICAL DATA

机译:北大西洋风暴的遥感:有效微波和光学数据的协同用途

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The aim is to use Synthetic Aperture Radar (SAR) in synergy with optical data to analyse severe weather systems, e.g., Tropical Cyclones, North Atlantic Storms and Polar Lows. Radar reflectivity over the ocean depends on the roughness of the sea surface and thus mainly on the wind field. Additionally the backscatter of the radar signal is influenced by the size of hydrometeors, e.g. rain drops or snow in the atmosphere and their precipitation rate. The Medium Resolution Imaging Spectrometer (MERIS) instrument that is flying on board the ENVISAT satellite or the Moderate Resolution Imaging Spectroradiometer (MODIS) that is flying on the AUQA/TERRA satellites provide an image over a specific region every three respectively every two days. These measurements are useful to estimate cloud parameters. Synthetic Aperture Radars (SARs) are capable of imaging synoptic wind fields near the sea surface with a coverage of up to 500 km × 500 km and a resolution on a subkilometer scale. For retrieving wind speeds from SAR data a model function (CMOD 4 and 5) [1] relating the Normalized Radar Cross Section (NRCS) of the ocean surface to the local nearsurface wind speed, wind direction versus antenna look direction and incidence angle is used. As examples severe storm system are investigated. By synergetic use of ENVISAT ASAR, MERIS and MODIS data the relationship between cloud patterns with different cloud parameters, e.g. cloud top pressure, cloud optical thickness and NRCS is investigated. A high correlation between convective clouds and NRCS was detected. Downburst produced by a convective downdraft over a region of less than 1 to 10 km horizontal extension and their interactions with the sea surface are observed in SAR images. The variation of the backscattering coefficient due to rain is considered, too.
机译:目的是在使用光学数据中使用合成孔径雷达(SAR),以分析恶劣天气系统,例如热带气旋,北大西洋风暴和极性低点。在海洋上的雷达反射率取决于海面的粗糙度,从而主要在风场上。另外,雷达信号的反向散射受水素尺寸的影响,例如,雨水或雪在大气中及其降水率。飞行在卫星卫星上飞行的中型成像光谱仪(Meris)仪器或在Auqa / Terra卫星上飞行的适度分辨率成像光谱仪(MODIS)每两天分别每三个特定区域提供图像。这些测量值对于估计云参数非常有用。合成孔径雷达(SARS)能够在海面附近成像概要风田,覆盖范围可达500公里×500km×500km×500km×500km×500km的分辨率。用于从SAR数据检索风速A模型功能(CMOD 4和5)[1]将海面的归一化雷达横截面(NRC)与局部近脉冲风速相关,使用风向与天线看起来方向和入射角。作为示例,调查了严重的风暴系统。通过协同使用Envisat ASAR,MERIS和MODIS数据与不同云参数的云模式之间的关系,例如,研究了云顶压力,云光学厚度和NRC。检测到对流云和NRC之间的高相关性。在SAR图像中观察到由对流下降在小于1至10km水平延伸的区域的下降,并在SAR图像中观察到它们与海面的相互作用。考虑了由于雨导致的反向散射系数的变化。

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