Analysis of ten years historical weather data in Australia


Autoria(s): Guan, Lisa
Contribuinte(s)

Levermore, G.

Casals, M.

Gangolells, M.

Data(s)

01/10/2007

Resumo

Typical reference year (TRY) weather data is often used to represent the long term weather pattern for building simulation and design. Through the analysis of ten year historical hourly weather data for seven Australian major capital cities using the frequencies procedure of descriptive statistics analysis (by SPSS software), this paper investigates: • the closeness of the typical reference year (TRY) weather data in representing the long term weather pattern; • the variations and common features that may exist between relatively hot and cold years. It is found that for the given set of input data, in comparison with the other weather elements, the discrepancy between TRY and multiple years is much smaller for the dry bulb temperature, relative humidity and global solar irradiance. The overall distribution patterns of key weather elements are also generally similar between the hot and cold years, but with some shift and/or small distortion. There is little common tendency of change between the hot and the cold years for different weather variables at different study locations.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/49442/

Publicador

Technical University of Catalonia

Relação

http://eprints.qut.edu.au/49442/1/analisys%20of%20ten%20years%20historical%20weather%20in%20australia.pdf

http://hdl.handle.net/2099/5351

Guan, Lisa (2007) Analysis of ten years historical weather data in Australia. In Levermore, G., Casals, M., & Gangolells, M. (Eds.) 6th Meeting of the CIB W108 – Climate Change and the Built Environment, Technical University of Catalonia, Technical University of Catalonia, Terrassa, Spain.

Direitos

Copyright 2007 [please consult the author]

This item (except for images and texts non created by the author) is licensed under a Creative Commons License

Fonte

School of Chemistry, Physics & Mechanical Engineering; Science & Engineering Faculty

Palavras-Chave #Typical reference year #multiple years weather data #hot years #cold years
Tipo

Conference Paper