Articles | Volume 15, issue 17
https://doi.org/10.5194/gmd-15-6601-2022
https://doi.org/10.5194/gmd-15-6601-2022
Methods for assessment of models
 | 
02 Sep 2022
Methods for assessment of models |  | 02 Sep 2022

Metrics for Intercomparison of Remapping Algorithms (MIRA) protocol applied to Earth system models

Vijay S. Mahadevan, Jorge E. Guerra, Xiangmin Jiao, Paul Kuberry, Yipeng Li, Paul Ullrich, David Marsico, Robert Jacob, Pavel Bochev, and Philip Jones

Related authors

Improving climate model coupling through a complete mesh representation: a case study with E3SM (v1) and MOAB (v5.x)
Vijay S. Mahadevan, Iulian Grindeanu, Robert Jacob, and Jason Sarich
Geosci. Model Dev., 13, 2355–2377, https://doi.org/10.5194/gmd-13-2355-2020,https://doi.org/10.5194/gmd-13-2355-2020, 2020
Short summary

Related subject area

Numerical methods
Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1) – Part 1: Dust budget analyses and the impacts of a revised coupling scheme
Hui Wan, Kai Zhang, Christopher J. Vogl, Carol S. Woodward, Richard C. Easter, Philip J. Rasch, Yan Feng, and Hailong Wang
Geosci. Model Dev., 17, 1387–1407, https://doi.org/10.5194/gmd-17-1387-2024,https://doi.org/10.5194/gmd-17-1387-2024, 2024
Short summary
Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1) – Part 2: A semi-discrete error analysis framework for assessing coupling schemes
Christopher J. Vogl, Hui Wan, Carol S. Woodward, and Quan M. Bui
Geosci. Model Dev., 17, 1409–1428, https://doi.org/10.5194/gmd-17-1409-2024,https://doi.org/10.5194/gmd-17-1409-2024, 2024
Short summary
jsmetrics v0.2.0: a Python package for metrics and algorithms used to identify or characterise atmospheric jet streams
Tom Keel, Chris Brierley, and Tamsin Edwards
Geosci. Model Dev., 17, 1229–1247, https://doi.org/10.5194/gmd-17-1229-2024,https://doi.org/10.5194/gmd-17-1229-2024, 2024
Short summary
P3D-BRNS v1.0.0: a three-dimensional, multiphase, multicomponent, pore-scale reactive transport modelling package for simulating biogeochemical processes in subsurface environments
Amir Golparvar, Matthias Kästner, and Martin Thullner
Geosci. Model Dev., 17, 881–898, https://doi.org/10.5194/gmd-17-881-2024,https://doi.org/10.5194/gmd-17-881-2024, 2024
Short summary
MinVoellmy v1: a lightweight model for simulating rapid mass movements based on a modified Voellmy rheology
Stefan Hergarten
Geosci. Model Dev., 17, 781–794, https://doi.org/10.5194/gmd-17-781-2024,https://doi.org/10.5194/gmd-17-781-2024, 2024
Short summary

Cited articles

Amante, C. and Eakins, B. W.: ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis, NOAA Technical Memorandum NESDIS NGDC-24, https://doi.org/10.7289/V5C8276M, 2009. a, b
Balaji, V., Anderson, J., Held, I., Winton, M., Durachta, J., Malyshev, S., and Stouffer, R. J.: The Exchange Grid: A mechanism for data exchange between Earth System components on independent grids, in: Parallel Computational Fluid Dynamics 2005, edited by: Deane, A., Ecer, A., McDonough, J., Satofuka, N., Brenner, G., Emerson, D. R., Periaux, J., and Tromeur-Dervout, D., Elsevier, Amsterdam, 179–186, https://doi.org/10.1016/B978-044452206-1/50021-5, 2006. a
Barth, T. and Jespersen, D.: The design and application of upwind schemes on unstructured meshes, in: 27th Aerospace sciences meeting, 366 pp., https://doi.org/10.2514/6.1989-366, 1989. a
Berger, M., Murman, S. M., and Aftosmis, M. J.: Analysis of Slope Limiters on Irregular Grids, in: Proceedings of the 43rd AIAA Aerospace Sciences Meeting, AIAA2005-0490, AIAA, Reno, NV, 2005. a
Blanchard, G. and Loubere, R.: High-Order Conservative Remapping with a posteriori MOOD stabilization on polygonal meshes, Comput. Fluids, 136, 83–103, https://doi.org/10.1016/j.compfluid.2016.06.002, 2016. a
Download
Short summary
Coupled Earth system models require transfer of field data between multiple components with varying spatial resolutions to determine the correct climate behavior. We present the Metrics for Intercomparison of Remapping Algorithms (MIRA) protocol to evaluate the accuracy, conservation properties, monotonicity, and local feature preservation of four different remapper algorithms for various unstructured mesh problems of interest. Future extensions to more practical use cases are also discussed.