Key concerns in using future climate projection data
- These datasets are long term climate projection based on simulation process; they are NOT long-term forecast. They are scenarios or plausible future change in climate characteristics under changing atmospheric greenhouse gas, especially CO2.
- Use of data in these datasets should be within the context of climate, which takes into consideration long period of time. Data of specific year may not be used explicitly because it is not real calendar year, but it only represents weather condition roughly around that period of time.
- These datasets are result of complicated process and may not be equally accurate throughout the domain. The research team found that data in the coastal area is less accurate than the in-land area. User will need to compare with observed data and workout the model bias as post-process for the specific area.
- Even though, these datasets had been verified to certain extent, but there may still be some noises or error in some grids in some years, e.g. unusual amount of rain in a single day in certain grids, users will have to check the data prior to their use in further analysis and adjust the noise in the dataset properly.
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Summary of daily data (please note that there are only 360 days in one year from PRECIS model).
• Tmax (°C)
• Tmin (°C)
• Precipitation (mm)
• Wind speed (m/s)
• Wind direction (degree from north)
• Solar Radiation (W/m2) - Grid size: 20 x 20 km, the reference lat / lon is the center of the grid.
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Distribution format: 1 file per 1 parameter per 1 year
• Grid data format: Latitude, longitude, day 1, ………………………………………… day 360 - Domain coverage: Lat. 0 - 35ºN / Lon. 90ºE - 112ºE