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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Wind-Vector Retrievals Under Rain With Passive Satellite Microwave Radiometers
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Wind-Vector Retrievals Under Rain With Passive Satellite Microwave Radiometers

机译：被动式卫星微波辐射计在雨中进行风矢量检索

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摘要

We have developed algorithms that retrieve ocean-surface wind speed and direction under rain using brightness-temperature (TB) measurements from passive satellite microwave radiometers. For accurate radiometer retrievals of wind speeds in the rain, it is essential to use TB signals at different frequencies, whose spectral signature makes it possible to find channel combinations that are sufficiently sensitive to wind speed but little or not sensitive to rain. The wind-speed retrieval accuracy of an algorithm that utilizes C-band frequencies and is trained for tropical cyclones ranges from 2.0 m/s in light rain to 4.0 m/s in heavy rain. We have also trained and tested global algorithms that are less accurate in tropical storms but can be applied under all conditions. The wind-direction retrieval accuracy degrades from about 10$^{circ}$ in light rain to 30$^{circ}$ at the onset of heavy rain. We compare the performance of wind-vector retrievals under rain from microwave radiometers with those from scatterometers and discuss advantages and shortcomings of both instruments. We have also analyzed the wind-induced sea-surface emissivity, including its wind-direction dependence for wind speeds up to 45 m/s.
机译：我们已经开发了使用被动卫星微波辐射计的亮度-温度（TB）测量来检索雨中海洋表面风速和风向的算法。为了准确地测量雨中风速的辐射计，必须使用不同频率的TB信号，这些信号的频谱特征使找到对风速足够敏感但对雨几乎不敏感或不敏感的信道组合成为可能。利用C波段频率并针对热带气旋进行训练的算法的风速检索精度范围从小雨中的2.0 m / s到大雨中的4.0 m / s。我们还对全球算法进行了培训和测试，这些算法在热带风暴中不太准确，但可以在所有条件下应用。风向检索的精度从小雨时的约10美元降低到大雨时的30％。我们比较了雨量下微波辐射计和散射计的风向矢量检索的性能，并讨论了这两种仪器的优缺点。我们还分析了由风引起的海面发射率，包括其对风速高达45 m / s的风向依赖性。

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