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气象:2015,41(12):1538-1544
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基于大尺度海温因子的江苏省水稻适宜移栽期预报模型研究
(1.江苏省气象局,南京 210008;2.南京信息工程大学大气科学学院,南京 210044)
Study on the Prediction Model of Suitable Transplanting Date of Rice in Jiangsu Based on Large Scale Factors of Sea Surface Temperature
(1.Jiangsu Meteorological Bureau, Nanjing 210008;2.College of Atmospheric Science, Nanjing University of Information Science  and Technology, Nanjing 210044)
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投稿时间:2015-04-30    修订日期:2015-06-09
中文摘要: 利用江苏有记录以来的农业气象资料,分析发现江苏水稻适宜移栽期与播栽期≥10℃有效积温间存在极显著的正相关关系,因此,可通过有效积温确定适宜移栽期。根据海气相互作用原理,基于遥相关方法,寻找有效积温的海温响应相关区,应用最优相关技术和空间拓扑分析法,筛选出高相关海温预报因子,并通过稳定性和独立性检验,确保海温预报因子的可靠性,最终建立水稻适宜移栽期的长期预报模型,经过历史拟合和试报检验,预报模型效果理想,至少可提前半个月预报出水稻适宜移栽的日期,预报结果对农业生产具有重要的实用价值。
Abstract:By using the agrometeorological data in Jiangsu Province, and the statistical analysis method, this research reveals that there is a significant positive correlation between the suitable transplanting date of rice and the effective accumulated temperature larger than 10 degrees celsius during the period of seeding and transplanting. This means that the suitable transplanting date of rice could be determined by the effective accumulated temperature. According to the principle of air sea interaction, the concept of teleconnection and through seeking for the forecast factors of SST for the effective accumulated temperature, the high correlated SST predictors are selected by using the optimal relevant technique and spatial topologic analysis method. Then, the stability and independence test is carried out so as to ensure the reliability of the SST predictors. Moreover, the long term prediction model of the suitable transplanting date of rice is established. Furthermore, through the historical fitting and forecast verification, the result of the prediction model is found reasonable. The suitable transplanting date can be predicted by the model at least two weeks in advance. So, the prediction results could give some guidance for agriculture.
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基金项目:公益性行业(气象)科研专项(GYHY201306035)和江苏省气象局青年科研基金项目(Q201517)共同资助
引用文本:
高苹,徐敏,徐经纬,于庚康,单婵,2015.基于大尺度海温因子的江苏省水稻适宜移栽期预报模型研究[J].气象,41(12):1538-1544.
GAO Ping,XU Min,XU Jingwei,YU Gengkang,SHAN Chan,2015.Study on the Prediction Model of Suitable Transplanting Date of Rice in Jiangsu Based on Large Scale Factors of Sea Surface Temperature[J].Meteor Mon,41(12):1538-1544.