TREND OF FUTURE WEATHER IN THAILAND WITH GENERAL
CIRCULATION MODEL AND ARTIFICIAL NEURAL NETWORK
Data
CanESM2 Climate Model
HADGEM2-AO Climate Model
MPI-ESM-LR Climate Model
Result
Predicted data in Northern Thailand
Data table
Raster data
Predicted data in North-Earthern Thailand
Data table
Raster data
Predicted data in Central Thailand
Data Table
Raster data
Predicted data in Eastern Thailand
Data Table
Raster data
Predicted data in Southern Thailand
Data table
Raster data
Correlation Coefficients
Relative theory
GCMs
Neural Network
Interpolation theory
Downscaling theory
Acknowledgement
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Parameter
Temperature
Precipitation
Relative Humidity
Wind Speed
Standardized Precipitation Index month 1
Standardized Precipitation Index month 3
Heat Index
Rainfall Anomaly Index
Model
HAD-GEM-AO
CanESM2
MPI-ESM-LR
Scenarios
rcp2.6
rcp4.5
rcp8.5
