Climate change has significantly impacted water resources, ecosystems, agriculture, human health, and the spread of diseases. Understanding potential future scenarios is crucial for improving adaptation strategies and mitigating risks associated with these changes. Global Climate Models (GCMs) simulate the Earth’s climate system by representing interactions between the atmosphere, oceans, land, and ice. These models are essential for predicting future climate patterns, assessing risks, and supporting policy decisions for climate adaptation and mitigation. The Coupled Model Intercomparison Project (CMIP) provides a coordinated framework for evaluating GCMs. CMIP6, the latest phase, offers improved climate projections with higher resolution, updated physical processes, and new socio-economic pathways (SSPs) for future climate scenarios.
In ALICE-LAB, we employ CMIP6 data from multiple sources, including high-resolution climate projections from NASA’s NEX-GDDP-CMIP6 dataset, which is frequently used to assess hydrological changes under different climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). These datasets are analyzed directly and serve as inputs for hydrological model simulations to predict the severity and variability of future water availability. Additionally, the data are used for bias correction and downscaling, enhancing their applicability in regional-scale research and decision-making.
Figure 1: Monthly precipitation (top) and temperature (bottom) variabilities from the GCM model over Asia, illustrating projected warming trends over time. The animation highlights spatial and temporal changes, reflecting the impact of high greenhouse gas emissions on global temperature patterns.
- More information on The NEX-GDDP-CMIP6 can be found at https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-gddp-cmip6
- Want to know more about climate scenario? Read more: https://alice-lab.com/climate-change-projections/
- Need more climate projection data? Read more: https://alice-lab.com/thailand-hydrological-projection-under-climate-change-scenarios-thc/.
Representing period: Historical (1950 – 2014) and projection (2015 – 2100)
Projection scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
Region: Asia (12.375S – 54.125N, 33.625E – 179.875E)
Spatial resolution: 0.25 degree (~25 km)
Temporal resolution: 1 day
Time span: 1950 – 2100
File format: NetCDF
LIST OF CLIMATE MODELS
| Model Name | Full Name | Source Institution |
|---|---|---|
| ACCESS-CM2 | Australian Community Climate and Earth System Simulator – Coupled Model 2 | Bureau of Meteorology (BOM) and Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia |
| ACCESS-ESM1-5 | Australian Community Climate and Earth System Simulator – Earth System Model 1.5 | BOM and CSIRO, Australia |
| CNRM-CM6-1 | Centre National de Recherches Météorologiques – Climate Model 6.1 | Centre National de Recherches Météorologiques (CNRM), France |
| CNRM-ESM2-1 | Centre National de Recherches Météorologiques – Earth System Model 2.1 | CNRM, France |
| EC-Earth3 | European Community Earth System Model 3 | EC-Earth Consortium (a collaboration of European institutions) |
| EC-Earth3-Veg-LR | European Community Earth System Model 3 – Vegetation, Low Resolution | EC-Earth Consortium |
| IPSL-CM6A-LR | Institut Pierre-Simon Laplace – Climate Model 6A, Low Resolution | Institut Pierre-Simon Laplace (IPSL), France |
| MIROC-ES2L | Model for Interdisciplinary Research on Climate – Earth System 2L | Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Atmosphere and Ocean Research Institute (AORI) of the University of Tokyo, and National Institute for Environmental Studies (NIES), Japan |
| MIROC6 | Model for Interdisciplinary Research on Climate 6 | JAMSTEC, AORI, and NIES, Japan |
| MPI-ESM1-2-HR | Max Planck Institute – Earth System Model 1.2, High Resolution | Max Planck Institute for Meteorology (MPI-M), Germany |
| MPI-ESM1-2-LR | Max Planck Institute – Earth System Model 1.2, Low Resolution | MPI-M, Germany |
| MRI-ESM2-0 | Meteorological Research Institute – Earth System Model 2.0 | Meteorological Research Institute (MRI), Japan |
| NESM3 | Nanjing University of Information Science and Technology – Earth System Model 3 | Nanjing University of Information Science and Technology (NUIST), China |
VARIABLES
| Variables | Name | Unit |
|---|---|---|
| prcp | precipitation | kg/(m²·s) |
| tas | air temperature | K |
| tasmin | minimum temperature | K |
| tasmax | maximum temperature | K |
| huss | specific humidity | kg kg-1 |
| hurs | relative humidity | % |
| rlds | longwave downward radiation | W/m2 |
| rsds | shortwave downward radiation | W/m2 |
| sfcwind | wind speed | m/s |