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本表汇总了20个CMIP6气候模式的关键信息。具体包括：数据来源、提供机构、水平分辨率（纬向×经向）、模式垂直方向上的最高层及层数，以及所采用的对流参数化方案。
观测资料选用GPCP日降水产品，模式则涵盖了来自多个国家和研究机构的主流全球气候模式，广泛用于评估和模拟热带降水及相关波动过程。
对流方案方面，模式间存在显著差异，可能影响其模拟对流耦合Kelvin波的能力与特征。
Table: List of CMIP6 models and observational data
| Type | Data | Institution | Horizontal Resolution (lat × lon) | Top (levels) | Convection Schemes |
|---|---|---|---|---|---|
| Observation | GPCP | NOAA, USA | 1° × 1° (91 × 181) | ||
| CMIP6 | CAMS-CSM1-0 | Chinese Academy of Meteorological Sciences (CAMS), China | T106 (160 × 320) | 10 hPa (L31) | Nordeng (1994) |
| CMIP6 | CanESM5 | Canadian Centre for Climate Modelling and Analysis (CCCma), Canada | T63 (64 × 128) | 1 hPa (L49) | Zhang and McFarlane (1995) |
| CMIP6 | CESM2 | NSF–DOE–NCAR, USA | F09 (192 × 288) | 2.25 hPa (L32) | Zhang and McFarlane (1995) |
| CMIP6 | CESM2-WACCM | NSF–DOE–NCAR, USA | F09 (192 × 288) | 4.5 × 10⁻⁶ hPa (L70) | Zhang and McFarlane (1995) |
| CMIP6 | EC-Earth3 | Rossby Centre, SMHI, European | T_L255 (256 × 512) | 0.01 hPa (L91) | Bechtold et al. (2014) |
| CMIP6 | EC-Earth3-Veg | EC-Earth consortium, Europe | T_L255 (256 × 512) | 0.01 hPa (L91) | Bechtold et al. (2014) |
| CMIP6 | GFDL-CM4 | Geophysical Fluid Dynamics Laboratory (GFDL) | C96 (180 × 360) | 1 hPa (L33) | Zhao et al. (2018) |
| CMIP6 | GFDL-ESM4 | NOAA, USA | C96 (180 × 360) | 1 hPa (L49) | Zhao et al. (2018) |
| CMIP6 | HadGEM3-GC31-LL | Met Office Hadley Centre, UK | N96 (144 × 192) | 85 km (L85) | Walters et al. (2019) |
| CMIP6 | INM-CM4-8 | Institute for Numerical Mathematics (INM), Russia | 2° × 1.5° (120 × 180) | σ=0.01 (L21) | Betts (1986) |
| CMIP6 | INM-CM5-0 | Institute for Numerical Mathematics (INM), Russia | 2° × 1.5° (120 × 180) | σ=0.0002 (L73) | Betts (1986) |
| CMIP6 | IPSL-CM6A-LR | Institut Pierre Simon Laplace (IPSL), France | N96 (143 × 144) | 40 km (L79) | Modified Emanuel (1991) |
| CMIP6 | MIROC6 | Atmosphere and Ocean Research Institute, Japan | T85 (128 × 256) | 0.004 hPa (L81) | Chikira and Sugiyama (2010) |
| CMIP6 | MIROC-ES2L | NIES / JAMSTEC, Japan | T42 (64 × 128) | 3 hPa (L40) | Chikira and Sugiyama (2010) |
| CMIP6 | MRI-ESM2-0 | Meteorological Research Institute (MRI), Japan | T_L159 (160 × 320) | 0.01 hPa (L80) | Yoshimura and Yukimoto (2015) |
| CMIP6 | NESM3 | Nanjing University of Information Science and Technology (NUIST), China | T63 (96 × 192) | 1 hPa (L47) | Nordeng (1994) |
| CMIP6 | NorCPM1 | NorESM Climate Modeling Consortium, Norway | 2° × 2° (96 × 144) | ≈2 hPa (L26) | Zhang and McFarlane (1995) |
| CMIP6 | NorESM2-LM | NorESM Climate Modeling Consortium, Norway | 2° × 2° (96 × 144) | 3 hPa (L32) | Zhang and McFarlane (1995) |
| CMIP6 | SAM0-UNICON | Seoul National University (SNU), South Korea | 1° × 1° (192 × 288) | ≈2 hPa (L30) | Park (2014) (UNICON) |
| CMIP6 | UKESM1-0-LL | Met Office Hadley Centre, UK | N96 (144 × 192) | 85 km (L85) | Walters et al. (2019) |