Weather Data (E-Book)

Weather Data (E-Book) (ISH0009)

1200

ISHRAE Member : 1000

Taxes extra as applicable

Specifications

This books presents a summary of weather and design conditions for 147 Indian cities. The book provides weather information in graphical format which can be used by designers in their projects without the use of hourly simulation tools. The book has a link to download the hourly weather files. These files are in formats which are compatible with commonly used building energy simulation tools. These files are Typical Meteorological Year (TMY) files. Creation of a TMY file is an empirical approach that selects individual months for different years from a givenperiod. For example, if the raw data set contains 15 years of data, all 15 January months are examined. Then using statistical methods, the data judged most typical for that particular month(January in this case) is selected to be included in the TMY. The other months of the year are analyzedsimilarly to select the 12 typical months and then form a complete TMY. TMY files in this set are created by considering the combination of field measurements of temperature, humidity, precipitation and solar radiation and satellite data available from other sources. Some of the essential tasks related to pre-processing of raw data were identifying data gaps and screening of erroneous data. This was followed by filling up data gaps through scientific interpolations and modelling. Wherever the data gaps were large, for example in the case of solar radiation data, theoretical models were used to generate data with the help of other climatic parameters over a period of several years. Rather than using a mix of measured and modelled data for development of TMY weather files, for solar radiation data, modelled data was used as it had large data gaps. Since the gaps in the temperature and relative humidity data were smaller, they were interpolated. It would be worth mentioning that since the procedure of creating weather files is based upon data of the past several years, they do not reflect recent changes in weather such as changes caused by urban heat island effect, increasing air pollution and change in precipitation pattern. The 2017 version of Weather Data Book contained information of62 cities. Many more cities, especially the smart cities of India, havebeen added bringing the total number of cities to 147 in this version of Weather Data Book and Weather Data Set. 

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