Abstract. Understanding the subgrid spatial variability of water vapor is important for parameterizing and simulating cloud processes in General Circulation Models (GCMs). This study maps sub-kilometer spatial structures in total atmospheric column water vapor with Visible to Shortwave Infrared (VSWIR) imaging spectroscopy. We describe our inversion approach and validate its accuracy with coincident measurements by airborne imaging spectrometers and the AERONET ground-based observation network. Next, data from NASA’s AVIRIS-NG spectrometer enables the highest resolution measurement to date of water vapor’s spatial variability and scaling properties. We find second order structure function scaling exponents consistent with prior studies of convective atmospheres. Finally, we conclude by discussing the implications of these measurements and paths toward future campaigns to build upon these results.

中文翻译：

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对流层下部水蒸气中亚千米空间结构的光谱成像

摘要。了解水蒸气的亚网格空间变异性对于参数化和模拟通用循环模型（GCM）中的云过程非常重要。这项研究利用可见到短波红外（VSWIR）成像光谱技术绘制了总大气柱水蒸气中亚千米的空间结构。我们描述了我们的反演方法，并通过机载成像光谱仪和AERONET地面观测网络的同步测量验证了其准确性。接下来，来自NASA的AVIRIS-NG光谱仪的数据可以对水蒸气的空间变异性和缩放特性进行迄今为止最高分辨率的测量。我们发现二阶结构函数缩放指数与对流大气的先前研究一致。最后，