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广东省农用天气预报技术研究
引用本文:刘锦銮,何键,陈新光.广东省农用天气预报技术研究[J].气象,2006,32(2):116-120.
作者姓名:刘锦銮  何键  陈新光
作者单位:广东省气候与农业气象中心,广州,510080
基金项目:广东省农用天气预报关键技术及防寒减灾对策项目
摘    要:根据6种不同类型的农田小气候的自动气象站的观测资料,分析了菜田土温、果树园内气温、鱼塘水温与气象站同类型气温的相关关系;利用逐步回归分析建立了以气象站同类气温为自变量的菜田土温、果树园内气温、鱼塘水温等预报模型。各模型的回归效果都达到了显著水平,平均绝对误差均和平均相对误差均在允许范围之内,具有较高的精度。利用Visual Basic 6.0,在WINDOWS平台上开发了方便实用的“农用天气预报系统”。

关 键 词:农用天气  小气候预报  地温  水温
收稿时间:2005-01-26
修稿时间:2005-01-262005-11-07

Agricultural Weather Forecast Technical Research of Guangdong Province
Liu Jinluan,He Jian,Chen Xinguang.Agricultural Weather Forecast Technical Research of Guangdong Province[J].Meteorological Monthly,2006,32(2):116-120.
Authors:Liu Jinluan  He Jian  Chen Xinguang
Institution:Guangdong Climate and Agrometeorology Center, 510080
Abstract:Based on the micro-climatic observation data by the automatic weather stations installed in 6 kinds of farmland local conditions. The relationship between the soil temperature of vegetables field, air temperature in the fruit tree garden, water temperature of fishpond and the observations at weather station are analyzed. The prediction models of soil temperature of vegetables field, air temperature of fruit tree garden, water temperature of fishpond as the function of the air temperature of weather station are developed using the stepwise progression method. And then with Visual Basic 6. 0, an agricultural weather forecast system is set up on windows platform.
Keywords:agricultural weather  forecast  soil temperature  water temperature
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