A Four-Dimensional Data Assimilation System for the Nested Grid Model

大气观测技术的最新进展有望大大增加可用于数值天气预报的非同步观测的数量和种类。这些观测将以比目前数据高得多的空间和时间分辨率提供。现有的业务数据同化系统不能充分利用这些高分辨率数据中的信息。因此，开发从这些新的和多样化的数据源中提取最大信息并产生数值模型所需的初始场的技术，对大气层科学界提出了重大挑战。这样的发展也将对未来研究数据集的质量产生重要影响。这项研究的目的是为区域模式发展一个基于牛顿松弛连续同化或Nudging技术的四维数据同化系统。同化程序将为国家气象中心的嵌套网格模式(NGM)开发。在研究过程中，首席调查员将审查模式内的调整过程，将通过轻推技术获得的分析与当前业务数据同化系统产生的分析进行比较。大风(大西洋低涡起源实验)数据集代表了一组很好的观测数据。该数据集包含来自观测系统的高空间和时间分辨率的观测数据，这些观测系统与将在不久的将来投入使用的观测系统类似。该项目是美国国家海洋和大气管理局(NMC)和美国国家科学基金会(NSF)支持的与数值天气预报相关的基础研究联合项目的一部分。

Recent advances in atmospheric observing technology promise to greatly increase in the number and variety of asynoptic observations that are available for numerical weather prediction. These observations will be available at both spatial and temporal resolutions that are much higher than present data. Current operational data assimilation systems cannot fully utilize the information in these high resolution data. Thus, the development of techniques to extract maximum information from these new and diverse data sources and to produce the initial fields required for numerical models presents a major challenge to the atmospheric sciences community. Such developments also will have an important impact on the quality of future research data sets. The goal of this research is to develop for a regional model a four-dimensional data assimilation system based on the Newtonian relaxation continuous assimilation or "nudging" technique. The assimilation package will be developed for National Meteorological Center's (NMC) Nested Grid Model (NGM). In the course of his research, the principal investigator will examine adjustment processes within the model, comparing analyses obtained via the nudging technique with those produced with the current operational data assimilation system. The GALE (Genesis of Atlantic Lows Experiment) data set represents an excellent set of observations for this purpose. The data set contains observations at high spatial and temporal resolution from observing systems similar to those that will be used operationally in the near future. This project is part of a joint program in basic research related to numerical weather prediction supported by NMC (NOAA) and NSF.