** Progress in Earth and Planetary Science is the official journal of the Japan Geoscience Union, published in collaboration with its 50 society members.
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Review
Atmospheric and hydrospheric sciences
201909201909
DYAMOND: The DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains
Stevens B, Satoh M, Auger L, Biercamp J, Bretherton CS, Chen X, Duben P, Judt F, Khairoutdinov M, Klocke D, Kodama C, Kornblueh L, Lin SJ, Neumann P, Putman WM, Rober N, Shibuya R, Vanniere B, Vidale PL, Wedi N, Zhou L
Climate modelling, Model intercomparison project, Tropical Convection
Snapshot of DYAMOND Models. Shown is a snapshot of the models taken from the perspective of the Himawari-8. The images are for the cloud scene on 4 August 2016, and are qualitatively rendered based on each model's condensate fields to illustrate the variety of convective structures resolved by the models, and difficulty of distinguishing them form actual observations. From left to right, the images are from IFS-4km, IFS-9km, NICAM, and SAM (top row); Arpege, Himawari, and ICON (middle row); FV3, GEOS5, UKMO and MPAS (bottom row).
A review of the experimental protocol and motivation for DYAMOND, the first intercomparison project of global storm-resolving models, is presented. Nine models submitted simulation output for a 40-day (1 August–10 September 2016) intercomparison period. Eight of these employed a tiling of the sphere that was uniformly less than 5 km. By resolving the transient dynamics of convective storms in the tropics, global storm-resolving models remove the need to parameterize tropical deep convection, providing a fundamentally more sound representation of the climate system and a more natural link to commensurately high-resolution data from satellite-borne sensors. The models and some basic characteristics of their output are described in more detail, as is the availability and planned use of this output for future scientific study. Tropically and zonally averaged energy budgets, precipitable water distributions, and precipitation from the model ensemble are evaluated, as is their representation of tropical cyclones and the predictability of column water vapor, the latter being important for tropical weather.
