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马玉平, 霍治国, 王培娟, 等. 中国农业气象模式(CAMM1.0)构建与应用. 应用气象学报, 2019, 30(5): 528-542. DOI: 10.11898/1001-7313.20190502..
引用本文: 马玉平, 霍治国, 王培娟, 等. 中国农业气象模式(CAMM1.0)构建与应用. 应用气象学报, 2019, 30(5): 528-542. DOI: 10.11898/1001-7313.20190502.
Ma Yuping, Huo Zhiguo, Wang Peijuan, et al. The construction and application of Chinese agrometeorological model(CAMM1.0). J Appl Meteor Sci, 2019, 30(5): 528-542. DOI:  10.11898/1001-7313.20190502.
Citation: Ma Yuping, Huo Zhiguo, Wang Peijuan, et al. The construction and application of Chinese agrometeorological model(CAMM1.0). J Appl Meteor Sci, 2019, 30(5): 528-542. DOI:  10.11898/1001-7313.20190502.

中国农业气象模式(CAMM1.0)构建与应用

DOI: 10.11898/1001-7313.20190502
资助项目: 

国家自然科学基金国际(地区)合作与交流项目 61661136005

国家重点研究发展计划 2018YFC1508303

国家重点研究发展计划 2018YFC1505605

中国气象科学研究院基本科研业务费专项资金 2017Z004

详细信息
    通信作者:

    马玉平, 邮箱:mayp@cma.gov.cn

The Construction and Application of Chinese AgroMeteorological Model(CAMM1.0)

  • 摘要: 为发展适宜中国区域农业种植特点的农业气象模式,基于国外作物生长模拟方法,通过模式机理过程改进或重构以及应用方式革新,建立了中国农业气象模式(Chinese AgroMeteorological Model version 1.0,CAMM1.0)。CAMM1.0利用平均温度和土壤水分改进了作物发育进程模式,利用土壤水分改进了作物叶片光合作用、干物质分配和叶面积扩展过程模式,通过蒸发比法扩展了作物蒸散过程模式;自主建立了基于发育进程的冬小麦株高、基于遥感信息的作物灌溉、遥感数据同化、作物长势与灾害评价等模式。基于互联网技术构造了实时运转平台,主要功能包括作物生长过程实时常规模拟与用户个性化定制模拟。CAMM1.0的部分子模式采用多种方法构造,便于多模式集成。CAMM1.0对作物发育进程、光合过程、株高的模拟效果较好,但对土壤水分变化过程的拟合略差,模拟产量略偏低。CAMM1.0评价淮河流域夏玉米年际干旱减弱而涝渍增加的趋势与实际基本相符。
  • 图  1  中国农业气象模式(CAMM1.0)机理过程

    Fig. 1  Mechanisms of Chinese AgroMeteorological Model(CAMM1.0)

    图  2  小麦干物质分配系数随发育进程(DVS)的变化

    Fig. 2  Changes of dry matter partitioning coefficients of wheat with development stage(DVS)

    图  3  冬小麦株高随累积热量单位(THU)变化趋势

    Fig. 3  Trends of winter wheat plant height with accumulated heat unit(THU)

    图  4  冬小麦生长株高差与平均(AHU)及累积热量单位(THU)关系

    Fig. 4  The relationship of winter wheat plant height difference to average(AHU) and accumulated heat unit(THU)

    图  5  中国农业气象模式(CAMM1.0)运转平台

    Fig. 5  Running platform of Chinese AgroMeteorological Model(CAMM1.0)

    图  6  CAMM1.0模拟的2017—2018年度中国冬小麦发育期与实测值比较

    Fig. 6  Relationship between measured and simulated winter wheat developments in China by CAMM1.0 from 2017 to 2018

    图  7  3种叶片光合作用模式模拟夏玉米光合速率与实测值比较

    Fig. 7  Relationship between measured and simulated photosynthetic rate of summer maize by three-leaf photosynthesis models

    图  8  遥感数据同化模式模拟2010—2011年河南夏玉米地上总干重与实测值比较

    Fig. 8  Relationship between measured and simulated total aboveground dry weight of summer maize in Henan by remote sensing data assimilation model from 2010 to 2011

    图  9  CAMM1.0模拟的2018年中国冬小麦产量和地上总干重与实测值比较

    Fig. 9  Relationship between measured and simulated winter wheat yield and total dry weight aboveground in China by CAMM1.0 in 2018

    图  10  CAMM1.0对2013年华北夏玉米时间长势和空间苗情的评价

    Fig. 10  Evaluation of growth in time trend and spatial distribution of summer maize in North China by CAMM1.0 in 2013

    图  11  CAMM1.0对淮河流域夏玉米旱涝灾害的评估

    Fig. 11  Assessment of summer maize drought and flood disasters in Huaihe River Basin by CAMM1.0

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  • 收稿日期:  2019-05-10
  • 修回日期:  2019-07-24
  • 刊出日期:  2019-09-30

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