论文标题
在气候模型中模拟快速过程
Emulating Fast Processes in Climate Models
论文作者
论文摘要
大气模型中的云微物理参数化描述了云和降水的形成和演化，中心的天气和气候过程。与云相关的潜在加热是整个全球大气中大型和小规模循环的主要驱动力，并且云与大气辐射具有重要的相互作用。云无处不在，多样，并且可以迅速改变。在这项工作中，我们构建了整个云微物理参数化的第一个模拟器，包括快速变化。模拟器在离线和在线（即与其他大气模型的其余部分结合时）的表现良好，但在南极洲显示了一些发展中的偏见。灵敏度测试表明，这些成功需要对混合离散连续输出以及基础代码和物理过程的输入输出结构进行仔细建模。
Cloud microphysical parameterizations in atmospheric models describe the formation and evolution of clouds and precipitation, a central weather and climate process. Cloud-associated latent heating is a primary driver of large and small-scale circulations throughout the global atmosphere, and clouds have important interactions with atmospheric radiation. Clouds are ubiquitous, diverse, and can change rapidly. In this work, we build the first emulator of an entire cloud microphysical parameterization, including fast phase changes. The emulator performs well in offline and online (i.e. when coupled to the rest of the atmospheric model) tests, but shows some developing biases in Antarctica. Sensitivity tests demonstrate that these successes require careful modeling of the mixed discrete-continuous output as well as the input-output structure of the underlying code and physical process.
