首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >L-Band Passive and Active Microwave Geophysical Model Functions of Ocean Surface Winds and Applications to Aquarius Retrieval
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L-Band Passive and Active Microwave Geophysical Model Functions of Ocean Surface Winds and Applications to Aquarius Retrieval

机译:海洋表面风的L波段被动和主动微波地球物理模型函数及其在水瓶座反演中的应用

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The L-band passive and active microwave geophysical model functions (GMFs) of ocean surface winds from the Aquarius data are derived. The matchups of Aquarius data with the Special Sensor Microwave Imager (SSM/I) and National Centers for Environmental Prediction (NCEP) winds were performed and were binned as a function of wind speed and direction. The radar HH GMF is in good agreement with the PALSAR GMF. For wind speeds above 10 $hbox{m}cdothbox{s}^{-1}$, the L-band ocean backscatter shows positive upwind–crosswind (UC) asymmetry; however, the UC asymmetry becomes negative between about 3 and 8 $hbox{m}cdothbox{s}^{-1}$. The negative UC (NUC) asymmetry has not been observed in higher frequency (above C-band) GMFs for ASCAT or QuikSCAT. Unexpectedly, the NUC symmetry also appears in the L-band radiometer data. We find direction dependence in the Aquarius $T_{rm BV}$, $T_{rm BH}$, and third Stokes data with peak-to-peak modulations increasing from about a few tenths to 2 K in the range of 10–25- $hbox{m}cdothbox{s}^{-1}$ wind speed. The validity of the GMFs is tested through application to wind and salinity retrieval from Aquarius data using the combined active–passive algorithm. Error assessment using the triple collocation analyses of SSM/I, NCEP, and Aquarius winds indicates that the retrieved Aquarius wind speed accuracy is excellent, with a random error of about 0.75 $hbox{m}cdothbox{s}^{-1}$. The wind direction retrievals also appear reasonable and accurate above 10 $hbox{m}cdothbo- {s}^{-1}$ . The results of the error analysis indicate that the uncertainty of the GMFs for the wind speed correction of vertically polarized brightness temperatures is about 0.14 K for wind speed up to 10 $hbox{m}cdothbox{s}^{-1}$.
机译:从水瓶座的数据中得出了海表风的L波段被动和主动微波地球物理模型函数(GMF)。水瓶座数据与特殊传感器微波成像仪(SSM / I)和国家环境预测中心(NCEP)的风进行了匹配,并根据风速和风向进行了分类。雷达HH GMF与PALSAR GMF非常吻合。对于大于10的风速 $ hbox {m} cdothbox {s} ^ {-1} $ ,L带海洋反向散射显示出正向逆风-逆风(UC)不对称;但是,UC不对称在大约3到8之间变为负。 $ hbox {m} cdothbox {s} ^ {-1} $ 。在ASCAT或QuikSCAT的较高频率(C波段以上)GMF中未观察到负UC(NUC)不对称性。出乎意料的是,NUC对称性也出现在L波段辐射计数据中。我们在水瓶座中找到方向相关性 $ T_ {rm BV} $ $ T_ {rm BH} $ ,并且具有峰值间调制的第三个Stokes数据从十分之几增加到2 K,范围为10-25- <公式Formulatype =“ inline”> $ hbox {m} cdothbox {s} ^ {-1} $ 风速。通过将主动-被动组合算法应用于从水瓶座数据中获取风和盐度的过程中,测试了GMF的有效性。使用SSM / I,NCEP和水瓶座风的三重搭配分析进行的错误评估表明,所检索到的水瓶座风速精度非常好,随机误差约为0.75 <公式> <公式> =“ inline”> $ hbox {m} cdothbox {s} ^ {-1} $ 。在10 $ hbox {m} cdothbo- {s} ^ {-1} $ 。误差分析的结果表明,对于风速最高为10时,垂直极化的亮度温度的风速校正的GMF不确定度约为0.14K。 hbox {m} cdothbox {s} ^ {-1} $

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