Using a non-stationary Generalized Extreme Value statistical method, we calculate selected extreme daily temperature and precipitation indices and their 20 year return values from the CMIP5 and CMIP6 historically forced climate models. We evaluate model performance of these indices and their return values in replicating similar quantities calculated from gridded land based daily observations. We find that at their standard resolutions, there are no meaningful differences between the two generations of models in their quality of simulated extreme daily temperature and precipitation.

中文翻译：

---

CMIP6模型中极端日温度和降水的长期返回值的特征：第1部分，模型评估

使用非平稳的广义极值统计方法，我们从CMIP5和CMIP6历史强迫气候模型中计算了选定的极端每日温度和降水指数及其20年的返回值。我们在复制从网格化的土地日常观察得出的相似数量时，评估这些指标的模型性能及其返回值。我们发现，在其标准分辨率下，两代模型之间在模拟极端日温度和降水质量上没有有意义的差异。