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. 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. Variables use standard MPAS names, which can be referenced here [https://www2.mmm.ucar.edu/projects/mpas/site/documentation/users_guide/appD_fields.html].
dataset
https://gdex.ucar.edu/datasets/d010129/
protocol: https
name: Dataset Description
description: Related Link
function: information
https://gdex.ucar.edu/datasets/d010129/dataaccess/
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name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2021-03-30
MODELS > MODELS
revision
2026-07-08
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
2026-07-08
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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pointOfContact
2026-07-13T21:07:33Z