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MPAS - Ocean Simulation Quality for Variable-Resolution North American Coastal MeshesClimate model components utilizing unstructured meshes enable variableresolution, regionally enhanced simulations within global domains. Here we investigate the relationship between mesh quality and simulation statistics using the JIGSAW unstructured meshing library and the Model for Prediction Across ScalesOcean (MPASOcean) with a focus on Gulf Stream dynamics. In the base configuration, the refined region employs 8 km cells that extend 400 km from the coast of North America. This coastal refined region is embedded within a lowresolution global domain, with cell size varying latitudinally between 30 and 60 km. The resolution transition region between the refined region and background mesh is 600 km wide. Three sensitivity tests are conducted: 1) the quality of meshes is intentionally degraded so that horizontal cells are progressively more distorted; 2) the transition region from high to low resolution is steepened; and 3) resolution of the coastal refinement region is varied from 30 km to 8 km. Overall, the ocean simulations are shown to be robust to mesh resolution and quality alterations. Meshes that are substantially degraded still produce realistic currents, with Southern Ocean transports within 0.4% and Gulf Stream transports within 12% of highquality mesh results. The narrowest transition case of 100 km did not produce any spurious effects. Refined regions with high resolution produce eddy kinetic energy and sea surface height variability that are similar to the highresolution reference simulation. These results provide heuristics for the design criteria of variableresolution climate model domains.
Document ID
20200002116
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Hoch, Kristin E.
(Los Alamos National Laboratory Los Alamos, NM, United States)
Petersen, Mark R.
(Los Alamos National Laboratory Los Alamos, NM, United States)
Brus, Steven R.
(Los Alamos National Laboratory Los Alamos, NM, United States)
Engwirda, Darren
(NASA Goddard Inst. for Space Studies (GISS) New York, NY, United States)
Roberts, Andrew F.
(Los Alamos National Laboratory Los Alamos, NM, United States)
Rosa, Kevin L.
(Los Alamos National Laboratory Los Alamos, NM, United States)
Wolfram, Phillip J.
(Los Alamos National Laboratory Los Alamos, NM, United States)
Date Acquired
April 1, 2020
Publication Date
February 26, 2020
Publication Information
Publication: Journal of Advances in Modelling Earth Systems (JAMES)
Publisher: Wiley Open Access
Volume: 12
Issue: 3
e-ISSN: 1942-2466
Subject Category
Meteorology And Climatology
Report/Patent Number
GSFC-E-DAA-TN78720
Funding Number(s)
CONTRACT_GRANT: 80NSSC17M0057
Distribution Limits
Public
Copyright
Public Use Permitted.
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