MARS 软件在数值预报模式产品数据管理中的应用

摘要

该文简单介绍 MARS（Meteorological Archival and Retrieval System）软件的架构及组成部分，并基于 MARS软件，介绍了数值预报产品数据管理系统设计与实现。通过在 GRIB2数据段对应描述层次类型和气象要素的表格文件中定义新的层次类型和气象要素，在 MARS 软件解析 GRIB2数据所需要查找的相关模板表格文件中定义气象要素对应的产品类型号、要素类别号、要素号、要素名称和要素名称缩写，说明 GRIB2数据模板和代码表创建方法。以 GRAPES 模式产品 GRIB2数据为例，实现应用 MARS 软件管理 GRAPES 模式产品 GRIB2数据。结合存储管理 TSM（Tivoli Storage Manager）软件，研究开发 MARS 软件和 TSM 软件连接接口程序，实现数据的直接迁移和回调。以 T639L60模式产品为例，通过测试检索性能，MARS 软件检索数值预报产品速度超过当前国家级气象数据管理系统数据检索速度1倍，说明 MARS 软件检索数值预报产品数据具有时效优势。%The NWP model runs several times every day,creating a large number of files of hundred megabytes each.In the current national meteorological data management system,the NWP model data are managed by the combination of file system and database system,which improves the operation of relative data com-pared to the traditional file system or database system alone.But data are separated from their index and description,which makes it difficult to manage the massive data of NWP productions. The MARS (Meteorological Archive and Retrieve System)based on the description of meteorology can be used to resolve the above problems.The client-server architecture of the MARS is introduced brief-ly,and functional components of the MARS are also explained in detail.A data management solution for the national operational NWP model is designed based on the current version of the MARS.According to the characteristic of table-driven code formats,the method of creating GRIB2 code tables and templates is introduced.The application programming interface (API)between the MARS and the Tivoli Storage Man-ager (TSM)is studied and implemented,considering the I/O feature of disk and tape,and API achieves direct data flushing and retrieving.Taking GRIB2 data of GRAPES global model production for example, data management is implemented by the MARS.Performance test indicates that the MARS can accelerate retrieving of certain data by over one time,demonstrating great advantages of time efficiency. The MARS integrates the meteorological content orient data management technique and the hierarchi-cal storage management technique.Its adaptability and scalability are also verified through long time appli-cation in many meteorological centers,showing wider application prospect in the field of NWP production data management.