Application of spatially averaging optical techniques to the study of short-term flux changes associated with clouds
Application of spatially averaging optical techniques to the study of short-term flux changes associated with clouds
复制标题
空间平均光学技术在研究与云相关的短期通量变化中的应用
DOI：
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发表时间：
1992
期刊：
影响因子：
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通讯作者：
K. Kunkel
中科院分区：
文献类型：
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作者：
W. Porch;F. J. Barnes;M. Buchwald;J. Stephens;J. Archuleta;K. Kunkel
云的形成仍然是全球环流模式（GCM）中最大的不确定性之一。大多数GCM预测在温室气体增加的情况下，云会减少，并产生积极的反馈。然而，云的形成发生在比GCM所能分辨的小得多的尺度上，并且与小尺度的热量、水汽和云凝结核通量密切相关。关键是要了解这些通量的值是如何分布的空间和时间之前，可靠的云参数化可以预期在GCM。Doran等人（1993年）在本卷中描述了一项实验，旨在提高我们对热量、水蒸气和替代参数的点测量如何与土地利用的区域差异（灌溉农业和草原草原的10至20公里）相对应的理解。我们的作用是探索使用光学技术提供空间平均通量和风会聚测量，并将这些与云的变化。
Cloud formation remains one of the largest uncertainties in Global Circulation Models (GCMs). Most GCM`s predict fewer clouds and positive feedback under increased greenhouse gas conditions. However, cloud formation occurs on much smaller scales than GCMs can resolve and is intimately tied to small scale fluxes of heat, water vapor, and cloud condensation nuclei. It is critical to understand how values of these fluxes are distributed is space and time before reliable cloud parameterizations can be expected in GCMs. Doran et al. (1993) describe in this volume an experiment designed to improve our understanding of how point measurements of heat, water vapor and surrogate parameters scale to regional differences in land use (on the order of 10 to 20 km in irrigated agricultural and prairie grassland). Our role was to explore the use of optical techniques to provide spatially-averaged flux and wind convergence measurements and relate these to cloud variability.