Purpose of Review

Global cloud-resolving models (GCRMs) are a new type of atmospheric model which resolve nonhydrostatic accelerations globally with kilometer-scale resolution. This review explains what distinguishes GCRMs from other types of models, the problems they solve, and the questions their more commonplace use is raising.

Recent Findings

GCRMs require high-resolution discretization over the sphere but can differ in many other respects. They are beginning to be used as a main stream research tool. The first GCRM intercomparison studies are being coordinated, raising new questions as to how best to exploit their advantages.

Summary

GCRMs are designed to resolve the multiscale nature of moist convection in the global dynamics context, without using cumulus parameterization. Clouds are simulated with cloud microphysical schemes in ways more comparable to observations. Because they do not suffer from ambiguity arising from cumulus parameterization, as computational resources increase, GCRMs are the promise of a new generation of global weather and climate simulations.

中文翻译：

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全球云解析模型

审查目的

全球云解析模型（GCRM）是一种新型的大气模型，可以以千米规模的分辨率解析全球的非静水加速度。这篇评论解释了GCRM与其他类型的模型的区别，它们解决的问题以及它们越来越普遍使用的问题。

最近的发现

GCRM需要在球体上进行高分辨率离散化，但在许多其他方面可能有所不同。它们开始被用作主流研究工具。最初的GCRM比较研究正在协调中，提出了有关如何最好地利用其优势的新问题。

概要

GCRM的设计目的是在不使用累积参数化的情况下解决全局动力学情况下潮湿对流的多尺度性质。使用云微物理方案模拟云的方式与观察更相似。由于它们不会因积聚参数化而产生歧义，因此随着计算资源的增加，GCRM是新一代全球天气和气候模拟的希望。