多源数据融合系统LAPS的研究进展及其在实况数据服务中的应用
An Overview of Progresses in LAPS and Prospective Applications in Real Time Data Service
中文摘要：
随着我国气象观测网建设的稳步发展，观测数据的时空密度大大提高，但各数据源时空代表性差异大，将多源数据结合起来开展融合分析是国内外的研究热点之一。由美国NOAA开发的局地分析与预报系统（LAPS），可以参考每种资料来源的可信度，分析得到三维的、高分辨率格点数据。LAPS系统具有代码开源、分析算法完整、框架灵活等特点，能够较快地调整以适应国内的观测和业务环境，因而有较多的研究和业务应用。回顾了LAPS融合系统的研究进展，特别聚焦于其在实况数据服务中的应用。
中文关键词：
LAPS，数据融合，数据服务
KeyWords：
LAPS, data fusion, data service
Abstract：
The spatial-temporal density of observation data is greatly improved with steady developments of meteorological observation system in our country, while the spatial and temporal representativeness of each data source is very different. Combining multi-source data to carry out fusion analysis is one of the research hotspots at home and abroad. The LAPS, local analysis and forecasting system developed by NOAA, is used to analyze three-dimensional and high-resolution grid data with reference to the reliability of each data source. LAPS system has the characteristics of open source code, complete analysis algorithm and flexible framework, which can be adjusted quickly to adapt to the domestic observation environment, and leads to enormous research and applications. This paper reviews the research progress of LAPS fusion system, especially focuses on the application to real time data service.