气象观测站点外地区典型气象年数据的获取方法

为了解决基础气象要素的缺失造成的建筑设计数据不足的被动状况以及无法准确科学提供室外基础数据的问题,以国家基准、基本和一般气象站的原始记录数据为基础,使用逆距离加权插值法（IDW）和梯度逆距离加权插值法（GIDW）,针对实验结果进行误差分析,研发西北和东南地区气象观测站点以外TMY数据的获取方法,并利用数学模型生成待测点的逐时数据。结果表明,使用GIDW方法得到的气象数据与实际值的变化趋势相似;同时,在考虑海拔影响后,使用GIDW方法比IDW方法的插值结果误差更小;对逐时数据进行处理,待测点的生成数据与实际逐时值符合度好。

OBTAINING METHODS OF TYPICAL METEOROLOGICAL YEAR DATA FOR AREAS OUTSIDE METEOROLOGICAL OBSERVATION STATIONS

At present the design and development of China's renewable energy buildings, usually using the typical meteorological year data on behalf of the local solar radiation and climate characteristics because some areas in China have no long-term observation data. However, the lack of basic meteorological elements may cause the passive situation of the architectural design and be unable to accurately provide outdoor basis data scientifically. In order to solve this problem, based on the national benchmark and basic, the original record data of general weather stations using the inverse distance weighted （IDW） interpolation method and gradient inverse distance weighted （GIDW） interpolation method, the error analysis of the experimental results is carried out. Typical Meteorological Year（TMY）data acquisition methods outside the northwest and southeast area meteorological observation stations are researched and developed. By using mathematical model to generate specific hourly data. The results show that the variation trend of the meteorological data obtained by the GIDW method is similar to that of the actual data. At the same time, after considering the influence of altitude, the interpolation error of the GIDW method is smaller than that of the IDW method. The hourly data is processed, and the generated data of the measured point is in good agreement with the actual hourly value.