U.S.-Germany Cooperative Research on Optimal Control MethodsApplied to the Study of Mesoscale Meteorological Model Sensitivity and Data Assimilation

该奖项支持教授道格拉斯K。Lilly和John M. 中尺度气象合作研究所的刘易斯说， 研究（CIMMS），俄克拉荷马州大学，与 Hartmut Kapitza博士和GKSS国家研究所的其他人 中心，在盖斯塔赫特，德国。 目标的事业中 协作是将最优控制的原则应用于 改进中尺度现象的模拟， 模型和数据匹配的方式。 特别是， 他们将致力于推广一种有前途的新技术， “伴随”方法，最初是由Dr。 卡皮塔 他和他在GKSS的同事有着特殊的专业知识， 在建模方面， 在使用新的观测系统的数据， 在美国推出的包括先进的陆基 遥感技术 美国集团将能够帮助 GKSS的科学家们介绍了真实的中尺度数据， 在CIMMS的数据同化研究中， 将从使用该模型的机会中受益匪浅， 它伴随着各种中尺度气象问题。 中尺度气象学中使用的确定性模型包括 是当今科学中最复杂的 物理 必须包括在模型中的比例范围从 大尺度非地转环流绕锋面 降水过程的微观物理学 这进一步 由于需要与大规模模型接口而变得复杂， 获得边界条件。 观察需求 这些系统是实质性的，汇编和分析 挑战是非凡的。 俄克拉荷马州大学现在有 美国国家科学基金会资助的科学技术中心，称为“中心， 风暴的分析和预测（CAPS） 的那种 数据同化工作正在推进的卡皮察博士和 德国中心现在是CAPS的主要焦点之一 程序计划。

This award supports Professors Douglas K. Lilly and John M. Lewis of the Cooperative Institute for Mesoscale Meteorological Studies (CIMMS), University of Oklahoma, to collaborate with Dr. Hartmut Kapitza and others of the GKSS National Research Center, in Geesthacht, Germany. The objective of their collaboration is to apply the principles of optimal control to improve the modelling of mesoscale phenomena and to improve the manner in which models and data are matched. In particular, they will work on extending a promising new technique called the "adjoint" method, that was originally developed by Dr. Karpita. He and his colleagues at GKSS have special expertise in modeling that is well matched by the U.S. group's expertise in the use of data from new observational systems being introduced in the U.S. that include sophisticated ground-based remote sensing techniques. The U.S. group will be able to help scientists at the GKSS to introduce realistic mesoscale data into the model, while research in data assimilation at CIMMS will benefit greatly from the opportunity to use the model and its adjoint on a variety of mesoscale meteorological problems. Deterministic models used in mesoscale meteorology are among the most complicated used in science today. The physical scales that must be included in the models range from the larger scale ageostrophic circulation around fronts to the microphysics of precipitation processes. This is further complicated by the need to interface with large scale models and to obtain boundary conditions. The observational demands of such systems are substantial, and the compilation and analysis challenge is extraordinary. The University of Oklahoma now has an NSF-funded Science and Technology Center, called "Center for the Analysis and Prediction of Storms" (CAPS.) The kind of data assimilation work being advanced by Dr. Kapitza and the German center is now one of the principal foci of the CAPS program plan.