MPAS Global Storm-Resolving Model Simulations for the DYAMOND Intercomparison (Phase 1)
d010129
This dataset comprises output from global atmospheric simulations performed with the Model for Prediction Across Scales - Atmosphere (MPAS-A) as part of the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains as part of the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) intercomparison project (Phase 1). Simulations were conducted over the 40-day period 1st of August to 10th of September 2016, at horizontal mesh spacings ranging from 480 km to 3.75 km. The dataset includes a suite of sensitivity experiments designed to isolate the effects of convective parameterization and changes to the microphysics. Output consists of two-dimensional diagnostic fields (15 minutes frequency) and three-dimensional history files (3-hourly frequency) on MPAS unstructured Voronoi meshes. For comparison purposes, some output fields (mostly post-processed precipitation) from several other DYAMOND participant models (ARPEGE, FV3, GEOS, ICON, IFS, NICAM, SAM, UM, and CAM - MPAS variants) is also included. The data support research into global convective organization, tropical cyclone activity, precipitation, and the sensitivity of numerical models to physical parameterization choices. Background and Objectives: DYAMOND (Stevens et al. 2019, PGMFD) is a community intercomparison framework for global storm-resolving models (GSRMs) that explicitly represent deep convection without convective parameterization at kilometer-scale grid spacings. This dataset supports analysis of MPAS-A across a broad range of resolutions and physics configurations, enabling study of resolution dependence and parameterization sensitivity in a global convection-permitting context. Model and Simulations: MPAS-A was configured with the "convection_permitting" physics suite: Thompson microphysics, MYNN boundary layer and surface layer, Noah land surface model, RRTMG radiation, and scale-aware version of the Tiedtke cumulus parameterization. Simulations were initialized on 1 August 2016 from ECMWF analyses with observed SSTs updated throughout the integration.
dataset
https://gdex.ucar.edu/datasets/d010129/
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name: Dataset Description
description: Related Link
function: information
https://gdex.ucar.edu/datasets/d010129/dataaccess/
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climatologyMeteorologyAtmosphere
dataset
revision
2021-03-30
MODELS > MODELS
revision
2026-06-24
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > ATMOSPHERIC STABILITY
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR PROCESSES
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > WIND DYNAMICS
EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD DYNAMICS
EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION RATE
EARTH SCIENCE > ATMOSPHERE > WEATHER EVENTS > EXTRATROPICAL CYCLONES
EARTH SCIENCE > ATMOSPHERE > WEATHER EVENTS > SUBTROPICAL CYCLONES
EARTH SCIENCE > ATMOSPHERE > WEATHER EVENTS > TROPICAL CYCLONES
revision
2026-06-24
publication
2026-06-30
notPlanned
Creative Commons Attribution 4.0 International License
None
pointOfContact
NSF NCAR Geoscience Data Exchange
name: NSF NCAR Geoscience Data Exchange
description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.
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2026-06-30T22:39:15Z