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首页> 外文期刊>Journal of Climate >First-order structure function analysis of statistical scale invariance in the AIRS-observed water vapor field.
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First-order structure function analysis of statistical scale invariance in the AIRS-observed water vapor field.

机译:在AIRS观测到的水蒸气场中,统计尺度不变性的一阶结构函数分析。

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摘要

The power-law scale dependence, or scaling, of first-order structure functions of the tropospheric water vapor field between 58 degrees S and 58 degrees N is investigated using observations from the Atmospheric Infrared Sounder (AIRS). Power-law scale dependence of the first-order structure function would indicate that the water vapor field exhibits statistical scale invariance. Directional and directionally independent first-order structure functions are computed to assess the directional dependence of derived first-order structure function scaling exponents (H) for a range of scales from 50 to 500 km. In comparison to other methods of assessing statistical scale invariance, the methodology used here requires minimal assumptions regarding the homogeneity of the spatial distribution of data within regions of analysis. Additionally, the methodology facilitates the evaluation of anisotropy and quantifies the extent to which the structure functions exhibit scale invariance. The spatial and seasonal dependence of the computed scaling exponents are explored. Minimum scaling exponents at all levels are shown to occur proximate to the equator, while the global maximum is shown to occur in the middle troposphere near the tropical-subtropical margin of the winter hemisphere. From a detailed analysis of AIRS maritime scaling exponents, it is concluded that the AIRS observations suggest the existence of two scaling regimes in the extratropics. One of these regimes characterizes the statistical scale invariance the free troposphere with H approximately=0.55 and a second that characterizes the statistical scale invariance of the boundary layer with H approximately=1/3.
机译:使用来自大气红外测深仪(AIRS)的观测资料,研究了对流层水蒸气场在58度S和58度N之间的一阶结构函数的幂律尺度依赖性或尺度。一阶结构函数的幂律尺度依赖性将指示水蒸气场表现出统计尺度不变性。计算方向和方向独立的一阶结构函数,以评估在50到500 km范围内得出的一阶结构函数缩放指数(H)的方向依赖性。与评估统计尺度不变性的其他方法相比,此处使用的方法仅需极少的假设就可以分析区域内数据的空间分布的均匀性。另外,该方法有助于各向异性的评估并量化结构功能表现出尺度不变性的程度。探索了计算尺度指数的空间和季节依赖性。各个层的最小尺度指数都显示在赤道附近,而全局最大值则显示在冬季半球热带-亚热带边缘附近的对流层中部。从对AIRS海上缩放指数的详细分析可以得出结论,AIRS的观测结果表明在温带地区存在两种缩放制度。这些制度之一表征了H约为= 0.55的自由对流层的统计尺度不变性,第二种制度表征了H约为= 1/3的边界层的统计尺度不变性。

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