ITR/AP: Inversion of Multidimensional Remotely Sensed Data to Obtain Evaporation and Other Meteorologic Parameters

这是一个由地球科学信息技术研究计划和物理气象学计划联合支持的奖项。 目的是利用洛斯阿拉莫斯拉曼扫描激光雷达提供的关于水蒸气空间分布的档案数据，开发一种遥感方法，确定蒸发率随地面位置的变化。 更一般地说，该程序可以扩展到估计任何可测量的保守被动添加剂的排放率的表面分布。 这是地球物理数据分析中的一个反问题，因为表面蒸发率的分布是由测量的蒸汽浓度的三维图案及其随时间的变化来确定的。 该项目计划分两个阶段进行。 首先将分析正问题，其中将假设逆风排放率的各种分布，并针对不同的稳定性和风速组合计算浓度的垂直分布。 接下来，正问题的解决方案将用于开发数学反演技术，从而从激光雷达观测的3D图案确定发射源的空间分布及其强度。 这项研究有望发现利用遥感数据进行大气观测、分析和建模的新方法。

This is an award supported jointly by the Information Technology Research program in Geosciences and the Physical Meteorology program. The objective is to use archival data from the Los Alamos Scanning Raman Lidar on the spatial distribution of water vapor to develop a remote-sensing-based method for determining the evaporation rate as a function of position on the ground. More generally, the procedure may be extended to estimate the surface distribution of emission rates for any measurable conservative passive additive. It is an inverse problem in geophysical data analysis, because the distribution of the surface evaporation rate is determined from the measured three- dimensional pattern of vapor concentration and its variation with time. The project is planned in two phases. First the forward problem will be analyzed, in which various distributions of upwind emission rates will be assumed and the resulting vertical distributions of concentration calculated, for different combinations of stability and wind speed. Next, the solution of the forward problem will be used to develop a mathematical inversion technique, whereby the spatial distribution of emission sources and their strengths will be determined from the lidar-observed 3D pattern. The research holds the promise of discovering new ways to use remotely-sensed data for atmospheric observation, analysis, and modeling.