长江科学院院报 ›› 2020, Vol. 37 ›› Issue (4): 138-145.DOI: 10.11988/ckyyb.20181323

• 信息技术应用 • 上一篇    下一篇

基于TRMM和FY-2C的长江流域月降水量的网格化估算研究

张白玉1, 邱新法2, 曾燕3, 韦翔鸿4, 王丹丹5, 朱晓晨2   

  1. 1.南京信息工程大学 地理科学学院,南京 210044;
    2.南京信息工程大学 应用气象学院,南京 210044;
    3.江苏省气候中心,南京 210009;
    4.丹阳市气象局,江苏 丹阳 212300;
    5.湖州市气象局,浙江 湖州 313001
  • 收稿日期:2018-12-14 出版日期:2020-04-01 发布日期:2020-05-21
  • 通讯作者: 邱新法(1966-),男,浙江德清人,教授,博士,主要从事气候资源与GIS应用研究。E-mail: xfqiu135@nuist.edu.cn
  • 作者简介:张白玉(1993-),女,江苏南通人,硕士研究生,主要从事GIS在气象中的应用研究。E-mail: baiyu.zhang@nuist.edu.cn
  • 基金资助:
    国家自然科学青年科学基金项目(41805049);南京信息工程大学人才启动基金资助项目(2018r009)

Grid Estimation of Monthly Precipitation in the Yangtze River Basin Based on TRMM and FY-2C

ZHANG Bai-yu1, QIU Xin-fa2, ZENG Yan3, WEI Xiang-hong4, WANG Dan-dan5, ZHU Xiao-chen2   

  1. 1.School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China;
    2.School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China;
    3.Jiangsu Climate Center, Nanjing 210009, China;
    4.Danyang Meteorological Office, Danyang 212300, China;
    5.Huzhou Meteorological Bureau, Huzhou 313001, China
  • Received:2018-12-14 Online:2020-04-01 Published:2020-05-21

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摘要： 基于TRMM和FY-2C降水产品,结合气象站观测资料和DEM数据,采用基于区域分月的逐步回归算法,建立降水估算模型。通过模型估算得到长江流域2007年1月、4月、7月、10月降水量的空间分布图,并对得到的结果进行检验和分析。结果表明:模型对2种降水产品能进行有效的订正;模型估算的TRMM降水产品1月、4月、7月、10月的平均相对误差分别是37.7%,47.3%,44.2%,41.9%,FY-2C降水产品1月、4月、7月、10月的平均相对误差是46.3%,50.9%,39.8%,48.8%;模型模拟的TRMM降水的全年相关系数是0.838, FY-2C降水的全年相关系数是0.811,通过两者对比发现,TRMM降水产品作为趋势项的精度较高。模型估算得到的降水分布趋势和原始降水产品分布趋势基本一致,并且能体现出降水的分布规律。

关键词: 长江流域, 月降水量, TRMM, FY-2C, 网格化估算

Abstract: In this paper, we adopted a stepwise regression algorithm based on regional monthly division to establish precipitation estimation model based on the data from TRMM and FY-2C. This model also combined with observation data of weather stations and DEM data. By employing the estimation model, we obtained the spatial distribution of precipitation of the Yangtze River in January, April, July and October 2007, and tested and analyzed the results. The simulation results showed that the model could revise TRMM and FY-2C effectively. Further analysis and calculation showed that the averaged relative errors of TRMM precipitation in the four months were 37.7%, 47.3%, 44.2% and 41.9%, respectively,while those of FY-2C precipitation were 46.3%, 50.9%, 39.8% and 48.8%, respectively. From the perspective of the whole year, the correlation coefficient of simulated TRMM precipitation was 0.838, while the correlation coefficient of simulated FY-2C precipitation was 0.811. The simulation result showed that TRMM was more accurate than FY-2C. Moreover, the distribution of precipitation remained almost the same with the original data, and the results of the present model reflected the distribution pattern of precipitation.

Key words: Yangtze River basin, monthly precipitation, TRMM, FY-2C, grid estimation

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