期刊名称：Iranica Journal of Energy and Environment (IJEE)
印刷版ISSN：2079-2115
电子版ISSN：2079-2123
出版年度：2014
期号：1
页码：78-86
语种：English
出版社：Noshirvani University of TEchnology
摘要：Weather data can vary significantly from year to other, so there is a need to create a Typical Meteorological Year (TMY) data to represent the long-term typical weather data sets which are very important as inputs in modeling, designing and performance evaluation of energy balance calculations. In present study Finkelstein-Schafer statistical method was employed to analyze the long-term measured weather data of a 30-year period (1971-2000) for Baghdad province, which included six major meteorological parameter (Global solar Radiation, Sunshine Duration, Maximum, Minimum and Mean Temperature, Relative Humidity) Typical meteorological months from the period of considered years were selected by choosing the smallest (FS) deviation from the long-term of a TMY for Baghdad province.
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