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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >'Synoptic' estimates of chemically active species and other diurnally varying parameters in the stratosphere, derived from measurements from the Upper Atmosphere Research Satellite (UARS)
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'Synoptic' estimates of chemically active species and other diurnally varying parameters in the stratosphere, derived from measurements from the Upper Atmosphere Research Satellite (UARS)

机译：从高层大气研究卫星（UARS）的测量中得出的平流层中化学活性物质和其他昼夜变化参数的“天气”估计

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Over the past two decades there have been numerous articles in the literature discussing methods of obtaining global-scale "synoptic" mathematical representations from asynoptic satellite observations. These studies cover a wide range of viewpoints, ranging from claims of presenting synoptic maps to opinions stating that synoptic representations cannot be obtained from asynoptic data alone, and that physical models are needed to augment the measurements. We review and comment on many of these previous studies. We do not believe that previous published representations generated from Upper Atmosphere Research Satellite data alone for variables that exhibit significant diurnal variations, are indeed synoptic. However, we show that UARS data can be used to estimate useful synoptic approximations without the need for physical models. Using a two-dimensional Fourier least squares algorithm, we calculate mathematical approximations to "synoptic maps." We provide examples for ClO, ClONO2, NO2, O-3, CH4, temperature, and winds and discuss how they can provide new information on both the chemistry and dynamics of the atmosphere. [References: 33]
机译：在过去的二十年中，文献中有许多文章讨论了从渐近卫星观测中获得全球规模的“渐近”数学表示的方法。这些研究涵盖了广泛的观点，从提出概要地图的主张到陈述不能单独从概要数据中获得概要表示的观点，以及需要物理模型来增加测量值的观点。我们回顾并评论了许多先前的研究。我们不认为仅从上层大气研究卫星数据生成的先前发表的表示确实是天气学的事实，而这些陈述仅表现出明显的昼夜变化。但是，我们表明UARS数据可用于估算有用的天气近似，而无需物理模型。使用二维傅立叶最小二乘算法，我们可以计算出“天气图”的数学近似值。我们提供了有关ClO，ClONO2，NO2，O-3，CH4，温度和风的示例，并讨论了它们如何提供有关大气化学和动力学的新信息。 [参考：33]

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