Designing and Implementation of Climate Dynamic Diagnosis and Analysis System

Zhang Zhengqiu; Zhu Congwen; Su Jingzhi; Liu Boqi; Jiang Ning; Chen Haoming

doi:10.11898/1001-7313.20210503

Vol.32, NO.5, 2021

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Article Navigation > Journal of Applied Meteorological Science > 2021 > 32(5): 542-552

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.

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Designing and Implementation of Climate Dynamic Diagnosis and Analysis System

DOI: 10.11898/1001-7313.20210503

Chinese Academy of Meteorological Sciences, Beijing 100081

Received Date: 2021-05-10
Rev Recd Date: 2021-07-16
Publish Date: 2021-09-30

Abstract

Abstract

Climate dynamic diagnosis and numerical simulation are important means to understand the rules of climate variability and improve the service efficiency of short-term climate prediction and scientific decision-making. However, the dynamic diagnosis technology based on climate simulation has not been widely used in routine climate service, and almost no platforms can transform scientific research results into the use in climate operation conveniently. Therefore, by integrating various technologies such as modern computer communication protocols, visual editing and meteorological numerical simulation, Climate Dynamic Diagnosis and Analysis System (CDDAS) is developed, which can promote the dynamic diagnosis technology of climate simulation to be more widely used in climate operation. The system has the features with opening structure, high integration of diagnosis methods and high usability. Four functional modules are developed, including data management, climate dynamic diagnosis, multi-model numerical simulation and result analysis. Also, an interactive controlling language is designed, which can provide an easy method for user's further development. In the system, a communication toll among local PC (personal computer) client, remote server and supercomputer is built, which can be managed visually. Visual editing and management functions are provided to users to edit or design the interactive operation interfaces between local terminal and remote server, so as to provide online services according to their own needs. The script language provided by the system can control the visual buttons on the operation interface, the cloud computing in remote server and data network transmission, and it supports four arithmetic operations, logical judgment, numerical circulation and other statements, integrates a variety of network communication protocols, and provides a series of drawing, string processing, and window display control functions. Assisted programming and a fine interface designing tool is also provided. The client of the system can help users to manage interactive pages and graphics, and can make comparative analysis of climate diagnosis results. The system lays a good foundation for the automation of dynamic climate diagnosis. In particular, the establishment of multi-model numerical simulation module and the realization of visualization operation provide an effective way for the dynamic diagnosis and numerical simulation of climate models to be used in climate operation departments. At present, the system has been used in the national climate operation and scientific research units, which has significantly improved the efficiency and convenience of climate operation in the diagnosis of climate anomalies, climate prediction and climate decision-making services.
- climate dynamic diagnosis;
- numerical simulation;
- visualization

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References(27)

Figures and Tables

图 1 系统架构和模块

Fig. 1 System structure and modules

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图 2 大气动力和热力诊断交互界面

Fig. 2 Interface of atmospheric dynamic and thermal diagnosis

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图 3 多试验区域选择设置对话框

Fig. 3 Multiple experimental area selection settings

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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

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图 5 数值模式动力诊断流程

Fig. 5 Flow of numerical model dynamic diagnosis

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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

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图 7 交互系统搭建流程

Fig. 7 Interactive system of building process

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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

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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

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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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