Wu Menxin, Zhuang Liwei, Hou Yingyu, et al. The design and implementation of China agricultural meteorological service system(CAgMSS). J Appl Meteor Sci, 2019, 30(5): 513-527. DOI:  10.11898/1001-7313.20190501.
Citation: Wu Menxin, Zhuang Liwei, Hou Yingyu, et al. The design and implementation of China agricultural meteorological service system(CAgMSS). J Appl Meteor Sci, 2019, 30(5): 513-527. DOI:  10.11898/1001-7313.20190501.

The Design and Implementation of China Agricultural Meteorological Service System(CAgMSS)

DOI: 10.11898/1001-7313.20190501
  • Received Date: 2019-05-10
  • Rev Recd Date: 2019-07-24
  • Publish Date: 2019-09-30
  • CAgMSS is an agrometeorological operational service system for users in national and provincial level operational units in China. It fully covers the monitoring, assessment and prediction of agrometeorological operational service, packing 10 main functions such as agrometeorological data analyzing, product processing, meteorological condition assessment, crop yield forecast, disaster degree assessment, agricultural pest meteorological condition prediction, agricultural weather forecast, ecological meteorological assessment, agricultural remote sensing, and crop model simulation. Modern information technologies are applied to realize the whole process such as data collection and management, professional model operation, products processing and distribution. The system realizes normalized management and high efficiency analysis of agrometeorological data based on large-scale relational database technology. It's also highly integrated based on plugin technology and can be used for spatial analysis and high quality rendering of agrometeorological data and product. The system integrates agrometeorological statistics, remote sensing and crop model technology, realizing comprehensive application of multiple data, multiple indicators, and multiple models in crop growth condition assessment. Crop yield meteorological forecast, agrometeorological disaster monitoring and agricultural weather forecast can also be done with high level of quantification, refinement and objectification.CAgMSS has been in use since 2012, and obviously improves the efficiency of agrometeorological operational service work, providing important support for refined and automation of agrometeorological product. Based on the system, a batch of high quality products such as agrometeorological condition assessment, crop yield forecast, foreign agrometeorological condition monitoring, key crop phenology and agricultural activity period meteorological service, agrometeorological disaster assessment are produced and provide important references for guiding the agriculture production and meteorological disaster prevention and reduction. The system is also applied to winter wheat in 14 provinces in 2012. By the year of 2018, some subsystems such as drought monitoring, crop yield forecast and crop model are used in 31 provincial meteorological bureaus.
  • Fig. 1  The general data flow chart of CAgMSS

    Fig. 2  The general framework of CAgMSS

    Fig. 3  The main user interface of CAgMSS

    Fig. 4  Site monitoring products of crop growth

    (a)the crop development stage monitoring, (b)the crop growth condition monitoring

    Fig. 5  Remote sensing monitoring products of crop growth

    (a)NDVI over crop planting area, (b)NDVI difference compared to last year over crop planting area

    Fig. 6  Soil moisture monitoring products with data from automatic observation sites

    Fig. 7  The integrated crop growth climate suitability

    Fig. 8  The trend of increase or decrease in crop yield

    Fig. 9  The integrated index product for agricultural drought monitoring

    Fig. 10  The weather suitability forecast for key agricultural activities

    (a)the forecast for spring maize sowing, (b)the forecast for spring maize harvest

  • [1]
    太华杰.我国农业气象业务体系的形成、完善和发展.应用气象学报, 1995, 6(4):505-508. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19950478&flag=1
    [2]
    赵四强, 曹山明, 殷建国, 等.农业气象情报业务自动化系统.中国农业气象, 1988, 9(2):55-56. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QK199700520843
    [3]
    赵四强, 庄立伟, 王建林.国家级农业气象产量预报业务自动化系统.中国农业气象, 1992, 13(5):45-49. http://www.cnki.com.cn/Article/CJFDTotal-ZGNY199205010.htm
    [4]
    王建林, 赵四强.农业气象产量预报服务系统简介.气象, 1991, 17(7):23-26. http://www.cnki.com.cn/Article/CJFD1991-QXXX199107006.htm
    [5]
    庄立伟, 王馥棠, 王石立.农业气象产量预报业务系统的研制.应用气象学报, 1996, 7(3):745-753. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19960343&flag=1
    [6]
    毛留喜, 吕厚荃.国家级农业气象业务技术综述.气象, 2010, 36(7):75-78. http://d.old.wanfangdata.com.cn/Periodical/qx201007013
    [7]
    侯英雨, 张蕾, 吴门新, 等.国家级现代农业气象业务技术进展.应用气象学报, 2018, 29(6):641-656. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20180601&flag=1
    [8]
    庄立伟, 卫建国, 毛留喜.软件设计模式在农业气象系统开发中的应用.应用气象学报, 2011, 22(5):631-640. doi:  10.3969/j.issn.1001-7313.2011.05.014
    [9]
    杨太明, 张爱民, 吴文玉, 等.新一代省级农业气象业务服务系统的设计、开发和应用//全国农业气象与生态环境学术年会文集, 2006: 229-234.
    [10]
    吴文玉, 何彬方, 杨太明, 等.省级农业气象业务服务系统的开发和应用.安徽农业科学, 2008, 36(2):417-419. doi:  10.3969/j.issn.0517-6611.2008.02.014
    [11]
    吴焕萍, 张永强, 孙家民, 等.气候信息交互显示与分析平台(CIPAS)设计与实现.应用气象学报, 2013, 24(5):631-640. doi:  10.3969/j.issn.1001-7313.2013.05.013
    [12]
    吕终亮, 罗兵, 吴焕萍, 等.MESIS信息检索及可视化产品制作平台实现.应用气象学报, 2012, 23(5):631-637. doi:  10.3969/j.issn.1001-7313.2012.05.015
    [13]
    沈文海, 赵芳, 高华云, 等.国家级气象资料存储检索系统的建立.应用气象学报, 2004, 15(6):727-736. doi:  10.3969/j.issn.1001-7313.2004.06.012
    [14]
    李德泉, 何文春, 阮宇智, 等.气象实时数据库服务监控系统设计与实现.成都信息工程学院学报, 2017, 27(2):147-152. http://d.old.wanfangdata.com.cn/Periodical/cdqxxy201202004
    [15]
    熊安元, 赵芳, 王颖, 等.全国综合气象信息共享系统的设计与实现.应用气象学报, 2015, 26(4):500-512. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20180511&flag=1
    [16]
    赵芳, 熊安元, 张小缨, 等.全国综合气象信息共享平台架构设计技术特征.应用气象学报, 2017, 28(6):750-758. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20170610&flag=1
    [17]
    罗敬宁, 刘立葳.遥感大数据分布式技术研究与实现.应用气象学报, 2017, 28(5):621-631. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20170510&flag=1
    [18]
    贺雅楠, 高嵩, 薛峰, 等.基于MICAPS4的智能网格预报平台设计与实现.应用气象学报, 2018, 29(l):13-24. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20180102&flag=1
    [19]
    中国气象局.农业气象数据库设计规范(QX/T435-2018).2018.
    [20]
    侯英雨, 张艳红, 王良宇, 等.东北地区春玉米气候适宜度模型.应用生态学报, 2013, 24(11):3207-3212. http://d.old.wanfangdata.com.cn/Periodical/yystxb201311025
    [21]
    宋迎波, 王建林, 陈晖, 等.中国油菜产量动态预报方法研究.气象, 2008, 34(3):93-99. doi:  10.3969/j.issn.1673-8411.2008.03.032
    [22]
    郭安红, 何亮, 韩丽娟, 等.早稻高温热害强度指数构建及气候危险性评价.自然灾害学报, 2018, 27(5):96-106. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zrzhxb201805012
    [23]
    Wu Menxin, Lu Houquan.A modified vegetation water supply index (MVWSI) and its application in drought monitoring over Sichuan and Chongqing.J Integr Agr, 2016, 15(9):2132-2141. doi:  10.1016/S2095-3119(15)61257-6
    [24]
    中国气象局.农业气象数据库设计规范(QX/T435-2018).2018.
    [25]
    王建林, 毛留喜.现代农业气象业务.北京:气象出版社, 2010:29-34.
    [26]
    杨霏云, 朱玉祥, 李文科, 等.统计方法在中国农业气象中的应用进展.气象与环境科学, 2016, 39(3):121-129. http://d.old.wanfangdata.com.cn/Periodical/hnqx201603018
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    • Received : 2019-05-10
    • Accepted : 2019-07-24
    • Published : 2019-09-30

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