Developing Integrated Datasets from Field Experiments to Interface with Models

该项目将继续过去的工作，将在能源部的大气辐射测量(ARM)计划和热带海洋全球大气-大气耦合海洋-大气响应实验(TOGA-COARE)等实地计划期间从多个测量平台收集的数据进行整合，将它们合并为物理上一致的数据集，并使其适合于模型应用。将对现有的变分分析算法进行改进，该算法用于调整流动速度、水蒸气和能量通量等变量，对它们进行约束，使它们符合已知的物理关系(例如，柱综合能量预算和动量守恒)。目前项目的主要重点是重新处理TOGA-COARE数据、在添加地面和大气层顶部通量数据的同时使用改正的探空数据的国际H2O项目(IHOP)数据，以及1999年开展的大规模生物圈-大气层实地活动的数据。这些数据的子集将被选择并用于解决具体的全球气候模式参数化问题。这项研究将促进观测数据集和模式的协同使用，改善天气预报/气候界采用的一些此类模式的参数化。

This project will continue past work to integrate data collected from multiple measurement platforms during field programs such as the Department of Energy's Atmospheric Radiation Measurement (ARM) program and the Tropical Ocean Global Atmosphere - Coupled Ocean-Atmosphere Response Experiment (TOGA-COARE), merging them into physically-consistent data sets and rendering them suitable for model applications. Refinements will be made to an existing variational analysis algorithm used to align the variables such as flow velocities, water vapor and energy fluxes, constraining them so that they conform to known physical relationships (e.g., conservation of column-integrated budgets of energy, and momentum). The primary foci in the current project are the re-processing of TOGA-COARE data, the International H2O Project (IHOP) data using corrected sounding data while adding surface and top-of-the-atmosphere flux data, as well as data from the Large-scale Biosphere-Atmosphere (LBA) field campaign conducted in 1999. Subsets of these data will be selected and used to address specific global climate model parameterization issues.The research will facilitate a synergistic use of observational data sets and models, improving parameterizations for a number of such models employed by the weather prediction/climate communities.