Future Climate Data from the RIF Project
24 May 2023 (UPDATED)
Notes for Data Usage
- The future climate data were provided by the research team led by Prof Jimmy Fung.
- The data period is from 2 May to 30 September at hourly basis. The purpose of this dataset is to evaluate the effect of summer hot weather on building performance modelling and human thermal comfort.
- The typical weather conditions were generated using the ISO Test Reference Year (TRY) approach. Details can be found in ISO 15927-4:2005
Hygrothermal performance of buildings — Calculation and presentation of climatic data — Part 4: Hourly data for assessing the annual energy use for heating and cooling.
- The near-extreme summer meteorological dataset was generated based on the Summer Reference Year (SRY) approach. Details can be found in the following references.
- Jentsch MF, Eames ME, Levermore GJ. Generating near-extreme Summer Reference Years for building performance simulation. Building Services Engineering Research and Technology. 2015;36(6):701-727. doi:10.1177/0143624415587476
- Lau KK-L, Ng EY-Y, Chan P-W, Ho JC-K. Near-extreme summer meteorological data set for sub-tropical climates. Building Services Engineering Research and Technology. 2017;38(2):197-208. doi:10.1177/0143624416675390
- Please note that both the TRY and SRY datasets are for modifying the key variables of input data for building performance modelling. Therefore, not all weather variables are provided by the TRY and SRY datasets, due to the availability of WRF output variables.
- Please acknowledge this RIF project as the source of the data.
Download Data Files
Test Reference Year (TRY)
Summer Reference Year (SRY)
| Data Variables |
Descriptions |
| TDRY |
Dry bulb temperature |
| TWET |
Wet bulb temperature |
| RH |
Relative humidity |
| GRAD |
Global solar radiation |
| ATM |
Atmospheric pressure |
| WD |
Wind direction |
| WS |
Wind speed |
|