面向海洋环境数值预报的支撑平台框架设计与实现

J4 ›› 2014, Vol. 36 ›› Issue (12): 2251-2256.

面向海洋环境数值预报的支撑平台框架设计与实现

张志远1,2,张翔2,张权2,王燕2,杨广文1

（1.清华大学计算机科学与技术系,北京 100084;2.海军海洋水文气象中心,北京 100161）

收稿日期:2013-12-03 修回日期:2014-02-22 出版日期:2014-12-25 发布日期:2014-12-25
基金资助:
国家自然科学基金资助项目（41275098）；国家863计划资助项目（2013AA01A208）

Design and implementation of supporting platform construction
oriented to numerical marine environment forecast

ZHANG Zhiyuan1,2,ZHANG Xiang2,ZHANG Quan2,WANG Yan2,YANG Guangwen1

(1.Department of Computer Science and Technology,Tsinghua University,Beijing 100084;
2.Marine HydroMeteorological Center of Navy,Beijing 100161)

Received:2013-12-03 Revised:2014-02-22 Online:2014-12-25 Published:2014-12-25

摘要/Abstract

摘要：

针对海洋环境数值预报多模式、多耦合、多结果、多吞吐、多用户的特性，提出了建设面向海洋环境数值预报支撑平台框架，并设计实现了面向多耦合的在线式耦合器（HYCPL）、面向多模式的模式库、参数化方法库和统计方法库（HYLIB）、面向多结果的检验评估工具（HYET）、面向多吞吐的数据并行访问和存储工具（HYI/O）、面向多用户的模式运行环境一键式安装包（HY1KEY）等功能，为海洋环境数值预报系统提供了有效适用的支撑平台。

关键词: 支撑平台, 耦合器, 诊断分析工具, 模式库, 输入输出

Abstract:

Numerical marine environment forecast has five characteristics which are multinumerical models, multicoupling processes, multiresult, more throughput and multiuser. Based on the above characteristics, the construction of the supporting platform of the marine environment forecast is proposed. An online coupler (HYCPL) for multicoupling processes, a model library(HYLIB) for multinumerical models, multiparameterization schemes and multistatistical methods, a test and evaluation tool (HYET) for multiresult, a parallel access and storage tool(HYI/O) for more throughput and a oneclick installation package (HY1KEY) for multiuser running environment are designed. All of these provide an effective and suitable supporting platform for numerical environment forecast system.

Key words: supporting platform;coupler;diagnosis analysis tools;model library;I/O

张志远1,2,张翔2,张权2,王燕2,杨广文1. 面向海洋环境数值预报的支撑平台框架设计与实现[J]. J4, 2014, 36(12): 2251-2256.

ZHANG Zhiyuan1,2,ZHANG Xiang2,ZHANG Quan2,WANG Yan2,YANG Guangwen1. Design and implementation of supporting platform construction
oriented to numerical marine environment forecast [J]. J4, 2014, 36(12): 2251-2256.

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