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Global Cloud-Resolving Models

  • Masaki Satoh
  • , Bjorn Stevens
  • , Falko Judt
  • , Marat Khairoutdinov
  • , Shian Jiann Lin
  • , William M. Putman
  • , Peter Düben
  • The University of Tokyo
  • Max Planck Institute for Meteorology
  • National Center for Atmospheric Research
  • Stony Brook University
  • Princeton University
  • NASA Goddard Space Flight Center
  • European Centre for Medium-Range Weather Forecasts

Research output: Contribution to journalReview articlepeer-review

268 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)172-184
Number of pages13
JournalCurrent Climate Change Reports
Volume5
Issue number3
DOIs
StatePublished - Sep 15 2019
Externally publishedYes

Keywords

  • Cloud microphysics scheme
  • Convective aggregation
  • Cumulus parameterization
  • Deep convection
  • Global cloud-resolving model
  • Multiscale structure

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