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

ITR/AP：多维遥感数据反演以获得蒸发和其他气象参数

• 批准号: 0113765
• 负责人: William Eichinger
• 金额: $ 40万
• 依托单位: University of Iowa
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-15 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0113765&HistoricalAwards=false
• 关键词: ITR; AP; Inversion; Multidimensional; Remotely

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.

该奖项由地球科学信息技术研究项目和物理气象学项目联合支持。目标是利用洛斯阿拉莫斯扫描拉曼激光雷达关于水汽空间分布的档案数据，开发一种基于遥感的方法，以确定蒸发速率作为地面位置的函数。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发射率的表面分布。这是地球物理资料分析中的一个逆问题，因为地表蒸发速率的分布是由测量到的水汽浓度的三维分布及其随时间的变化决定的。该项目计划分为两个阶段。首先对正向问题进行分析，在正向问题中，假设不同的迎风排放率分布，并计算不同稳定性和风速组合下的浓度垂直分布。接下来，将利用正演问题的解来开发一种数学反演技术，通过激光雷达观测到的3D模式来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。