Research and Implementation of Key Technology in MeteoGIS Web Platform

Hu Zhengguang; Zheng Weijiang; Gao Song; Luo Bing; Li Yuean

Vol.25, NO.3, 2014

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2014 > 25(3): 365-374

Hu Zhengguang, Zheng Weijiang, Gao Song, et al. Research and implementation of key technology in meteoGIS web platform. J Appl Meteor Sci, 2014, 25(3): 365-374.

Citation:

Hu Zhengguang, Zheng Weijiang, Gao Song, et al. Research and implementation of key technology in meteoGIS web platform. J Appl Meteor Sci, 2014, 25(3): 365-374.

Hu Zhengguang, Zheng Weijiang, Gao Song, et al. Research and implementation of key technology in meteoGIS web platform. J Appl Meteor Sci, 2014, 25(3): 365-374.

Citation:

Hu Zhengguang, Zheng Weijiang, Gao Song, et al. Research and implementation of key technology in meteoGIS web platform. J Appl Meteor Sci, 2014, 25(3): 365-374.

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Research and Implementation of Key Technology in MeteoGIS Web Platform

National Meteorological Center, Beijing 100081

Received Date: 2013-06-28
Rev Recd Date: 2014-02-26
Publish Date: 2014-05-31

Abstract

Abstract

In recent years, WebGIS plays an important role in meteorological data sharing, weather forecast and early-warning, public weather service and meteorological decision-making application. For instance, MICAPS integrated open source package SharpMap to display Web map services, and some branches develop meteorological Web service system based on commercial software such as ArcGIS and SuperMap. NINJO and MetView adopt Web Portal to integrate the WMS, WMF map services. However, there are some problems with the WebGIS application in current meteorology operational system. Generally, it is expensive and inconvenient to develop the WebGIS applications based on commercial GIS software. Open source GIS packages is also difficult for the developers to use and to ensure robustness. Besides, current WebGIS software hasn't taken meteorological data and meteorological analysis application characteristics into account.To solve the above problems, a new system named meteorology GIS (MeteoGIS) Web platform is developed with JAVA language by National Meteorological Center (NMC) for the developers and researchers. It could not only deliver kinds of heterogeneous meteorological data sources through Web efficiently, but also integrate meteorological analysis algorithms and models. The platform combines the WebGIS with meteorological operation characteristics, which could be used to develop kinds of meteorological applications systems. Besides, some current key technologies are used, such as intelligent cache, RIA, meteorological data monitoring and web map service mashup. This standard, flexible, easy and convenient meteorological WebGIS platform could be used by kinds of developers at national and in different province-level or county-level administrative regions.Based on MeteoGIS Web platform, NMC develops the national weather monitoring and warning system and some provinces develop weather forecast system and meteorological disaster response systems. These systems run stably in real-time weather operation, illustrating the key technique strong practicability and expansibility in massive data Web publishing, Web client rendering, data monitoring, and Web map service. There are still some problems to solve further, such as developing a html5 client and optimizing the load balance of the GIS server.
- MeteoGIS;
- intelligent cache technology;
- RIA;
- service mashup;
- disastrous weather monitoring

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References(25)

Figures and Tables

Fig. 1 The framework of MeteoGIS Internet platform

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Fig. 2 Pyramid data structure

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Fig. 3 Meteorological data plot in client

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Fig. 4 Monitoring of meteorological data in real-time

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Fig. 5 Service mashup of MeteoGIS Internet client

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Fig. 6 Vector-raster data rendered in platform based on MeteoGIS

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Fig. 7 Real-time monitoring in severe weather monitoring platform based on MeteoGIS Internet

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Fig. 8 Jiangsu weather disaster warning and emergency-response platform based on MeteoGIS Internet

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Table 1 Meteorological data types and characters

数据类型	主要内容	数据类型	数据大小	更新频率
MICAPS第1类	地面全要素填图观测，用于地面填图	矢量	300~500 KB	3 h 1次
MICAPS第1类	自动站数据	矢量	1~5 MB	10 min 1次
MICAPS第2类	高空全要素填图观测数据，用于高空填图	矢量	30~100 KB	6 h 1次
MICAPS第3类	除用于填图外，还可根据站点数据直接绘制等值线	矢量	30~100 KB	1 h 1次
MICAPS第4类	数值预报数据，用于绘制格点数据的等值线，还可直接用于填格点值	栅格	2~5 MB	12 h 1次
MICAPS第7类	台风路径产品	矢量	100 KB
MICAPS第14类	预报预警产品数据	矢量	100~300 KB	每日4次
HDF格式	卫星云图	栅格	200 MB	15 min 1次
SWAN格式	雷达及外推产品	栅格	200~500 KB	6 min 1次

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