Pre-processing of weather data of Indian cities
Pre-processing of weather data of Indian cities
Project Year: 2009-10
Funding Agency: ISHRAE, Mumbai
Awarded: Rs. 50,000
ISHRAE “Typical Year” weather files are available Indian cities. The raw measured by IMD data values of parameters at various stations over a period of 1990-2006. Project aims to preprocess raw weather data files by filling up data gaps through scientific interpolations and modeling.
Following is the list of Indian locations –
1 | Ahmedabad | 22 | Hyderabad | 43 | Patna |
2 | Akola | 23 | Imphal | 44 | Port-Blair |
3 | Allahabad | 24 | Indore | 45 | Pune |
4 | Amritsar | 25 | Jabalpur | 46 | Raipur |
5 | Aurangabad | 26 | Jagdelpur | 47 | Rajkot |
6 | Barmer | 27 | Jaipur | 48 | Ramagundam |
7 | Belgaum | 28 | Jaisalmer | 49 | Ranchi |
8 | Bengaluru | 29 | Jamnagar | 50 | Ratnagiri |
9 | Bhagalpur | 30 | Jodhpur | 51 | Raxaul |
10 | Bhopal | 31 | Jorhat | 52 | Saharanpur |
11 | Bhubaneshwar | 32 | Kodaikanal | 53 | Shillong |
12 | Bhuj | 33 | Kolkata | 54 | Solapur |
13 | Bikaner | 34 | Kota | 55 | Srinagar |
14 | Chennai | 35 | Kurnool | 56 | Surat |
15 | Chitradurga | 36 | Lucknow | 57 | Tezpur |
16 | Dehradun | 37 | Mangalore | 58 | Thiruvananthapuram |
17 | Dibrugarh | 38 | Mumbai | 59 | Tiruchchirapalli |
18 | Gorakhpur | 39 | Nagpur | 60 | Varanasi |
19 | Guwahati | 40 | Nellore | 61 | Veraval |
20 | Gwalior | 41 | New-Delhi | 62 | Visakhapatnam |
21 | Hissar | 42 | Panjim |
R&D organisation and academic institutions
IIIT Hyderabad and MNIT Jaipur
Outcomes –
Raw weather data was received from Indian Meteorological Department. TMY files in this set are created by considering the field measurements of temperature, humidity, precipitation and solar radiation provided by Bureau of Energy Efficiency and Indian Meteorological Department, Government of India, to the project team. The raw data contained measured values of above parameters at various stations over a period of 1990-2006. Pre-processing of raw data has been performed by identifying data gaps and screening of erroneous data. This was followed by filling up data gaps through scientific interpolations and modeling. 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 modeled data for development of TMY weather files, for solar radiation data, only modeled data was used as it had large data gaps. Since the gaps in the data sets of temperature and relative humidity were smaller, they were interpolated (Y. J. Huang et al. 2015).
These weather files were created by in 2014 utilizing weather data from various sources, including the Indian Meteorology Department, the US National Center for Environmental Data (NCEI, formerly NCDC), and satellite-derived solar radiation data 2007-2011 developed by NREL.
36 of the weather files (ISHRAE2) are entirely new, while 26 (ISHRAE1M) are from an earlier set of ISHRAE weather files done in 2005 but with recalculated solar radiation. These weather files can be accessed from the following link –
https://energyplus.net/weather-region/asia_wmo_region_2/IND%20%20