Model code and datasets used in "A potential vorticity diagnostics package for MPAS-Atmosphere"
d583130
This dataset contains the original and modified versions of MPAS v7.3 code used for the simulations described in a manuscript submitted for publication in the Journal of Advances in Modeling Earth Systems. The input and configuration files needed to reproduce the simulations are also included. Additionally, this dataset includes the relevant potential vorticity (PV) diagnostic fields output from global MPAS simulations and interpolated to a 0.15-degree by 0.15-degree latitude-by-longitude grid that were used in the analyses presented in the paper. Three simulations were discussed in the paper: two are run in single-precision, and one is run in double-precision. All model files are global with 55 vertical levels. The initial conditions and restart files are on the native 15-3km refined mesh. These simulations were for a proof-of-concept paper about a model budget, so the output files relevant to the paper are valid at two consecutive time steps and at two additional hours (depending on the specific simulation).
dataset
https://rda.ucar.edu/datasets/d583130/
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https://rda.ucar.edu/datasets/d583130/dataaccess/
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climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
WRF > Weather Research and Forecasting (WRF) Model
revision
2025-06-17
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > WIND DYNAMICS > VORTICITY > POTENTIAL VORTICITY
revision
2025-06-09
2019-05-20T00:00:00Z
2019-05-20T05:00:00Z
publication
2025-06-25
notPlanned
Creative Commons Attribution 4.0 International License
None
UCAR/NCAR - Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
(303)-497-1833
303-497-1291
pointOfContact
NCAR Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
303-497-1291
name: NCAR Research Data Archive
description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.
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2025-06-25T22:05:01Z