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气候动力诊断和分析系统设计与应用

张正秋 祝从文 苏京志 刘伯奇 蒋宁 陈昊明

张正秋, 祝从文, 苏京志, 等. 气候动力诊断和分析系统设计与应用. 应用气象学报, 2021, 32(5): 542-552. DOI:  10.11898/1001-7313.20210503..
引用本文: 张正秋, 祝从文, 苏京志, 等. 气候动力诊断和分析系统设计与应用. 应用气象学报, 2021, 32(5): 542-552. DOI:  10.11898/1001-7313.20210503.
Zhang Zhengqiu, Zhu Congwen, Su Jingzhi, et al. Designing and implementation of Climate Dynamic Diagnosis and Analysis System. J Appl Meteor Sci, 2021, 32(5): 542-552. DOI:  10.11898/1001-7313.20210503.
Citation: Zhang Zhengqiu, Zhu Congwen, Su Jingzhi, et al. Designing and implementation of Climate Dynamic Diagnosis and Analysis System. J Appl Meteor Sci, 2021, 32(5): 542-552. DOI:  10.11898/1001-7313.20210503.

气候动力诊断和分析系统设计与应用

DOI: 10.11898/1001-7313.20210503
资助项目: 

国家自然科学基金项目 41830969

公益性行业(气象)科研专项 GYHY201406019

中国气象科学研究院基本科研业务专项 2021Z04

详细信息
    通信作者:

    祝从文, 邮箱: zhucw@cma.gov.cn

Designing and Implementation of Climate Dynamic Diagnosis and Analysis System

  • 摘要: 气候动力诊断和数值模拟是认识气候变化规律、提高短期气候预测与科学决策服务水平的重要手段。但基于气候模拟的动力诊断技术在气候预测业务中还未得到广泛应用,缺乏支撑科研成果转化为业务应用的中试平台。为此,通过集成多种现代计算机通信协议、可视化编辑和气象数值计算等技术,研发可视化交互气候动力诊断和分析系统(Climate Dynamic Diagnosis and Analysis System,CDDAS),以促进气候模拟的动力诊断技术在气候业务中的广泛应用。该系统具有结构开放、诊断方法集成度高、方便易用等特点,包括数据更新备份、气候动力诊断、多模式数值模拟、结果分析4个功能模块,并设计了一种远程交互控制脚本语言,为用户二次开发提供语言环境,可实现本地客户端、服务器端和超级计算机三者交互通信控制可视化管理。该系统使用便捷,目前已在国家级业务和科研单位获得应用,在气候异常成因分析、气候预测和气候决策服务中可显著提高工作效率。
  • 图  1  系统架构和模块

    Fig. 1  System structure and modules

    图  2  大气动力和热力诊断交互界面

    Fig. 2  Interface of atmospheric dynamic and thermal diagnosis

    图  3  多试验区域选择设置对话框

    Fig. 3  Multiple experimental area selection settings

    图  4  用于显示数值模拟结果的远程交互对话页面

    Fig. 4  Remote interactive dialogue page for displaying numerical modeling results

    图  5  数值模式动力诊断流程

    Fig. 5  Flow of numerical model dynamic diagnosis

    图  6  可视化交互界面编辑窗口

    ①控制工具栏  ②交互页面略图  ③当前编辑脚本控件略图  ④交互页面编辑窗口  ⑤脚本编辑窗口  ⑥可视化工具窗口  ⑦控件标识窗口

    Fig. 6  Windows for visual interface editing

    图  7  交互系统搭建流程

    Fig. 7  Interactive system of building process

    图  8  CDDAS系统客户端

    ①图像管理窗口  ②交互界面窗口  ③图形显示窗口  ④区域选择窗口

    Fig. 8  CDDAS client

    图  9  2018年7月北大西洋海温异常

    Fig. 9  Sea surface temperature anomalies in the North Atlantic during Jul 2018

    图  10  2018年5—7月北大西洋海温异常强迫下大气环流模式(ECHAM5)模拟的7月2 m气温异常(a)和200 hPa位势高度场异常(b)

    Fig. 10  Temperature anomalies of 2 m(a) and geopotential height anomalies of 200 hPa(b) in Jul 2018 simulated by ECHAM5 with the forcing of sea surface temperature anomalies in the North Atlantic from May to Jul in 2018

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出版历程
  • 收稿日期:  2021-05-10
  • 修回日期:  2021-07-16
  • 刊出日期:  2021-09-30

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