Selected Peer-reviewed Publications Relevant to MPAS¶
See also
For a list of additional non peer-reviewed presentation material relevant to MPAS, see MPAS Presentations.
2026¶
All-sky ATMS radiance data assimilation with MPAS-JEDI, EGUsphere [preprint]
Ban, J., Liu, Z., Jung, B.-J., Banos, I. H., Ruston, B., and Collard, A.
Assimilation of Radar Radial Velocity and Polarimetric Observations Using LETKF within MPAS-JEDI: Development of Assimilation Capabilities and Test with an Afternoon Thunderstorm in Taiwan
Kong, Rong, Zhiquan Liu, Guifu Zhang, Tao Sun, Hejun Xie, Junmei Ban, and Ting-Chi Wu
Direct Radar Reflectivity Assimilation within MPAS-JEDI using Reflectivity Analysis Variable and Multivariate Background Error Covariance, EGUsphere [preprint]
Sun, T., Chen, I.-H., Schwartz, C. S., Liu, Z., Zhang, H., and Barker, D.
2025¶
A hybrid four-dimensional variational data assimilation system for the Model for Prediction Across Scales (MPAS-atmosphere): Leveraging the Joint Effort for Data assimilation Integration (JEDI)
Nystrom, R. G., Snyder, C., Liu, Z., Jung, B. J., Ban, J., & Banos, I. H.
A First Step toward Global Ensemble-based Data Assimilation at Convection-allowing Scales Using MPAS and JEDI
Schwartz, Craig S., Jamie Bresch, Kevin M. Lupo, Junmei Ban, Jonathan J. Guerrette, Byoung-Joo Jung, Zhiquan Liu, Chris Snyder, Steven Vahl, Yali Wu, and Yonggang G. Yu
All-sky AMSU-A radiance data assimilation using the gain-form of Local Ensemble Transform Kalman filter within MPAS-JEDI-2.1.0: implementation, tuning, and evaluation
Sun, T., Guerrette, J. J., Liu, Z., Ban, J., Jung, B.-J., Hernandez Banos, I., and Snyder, C.
2024¶
Incremental Analysis Update (IAU) in the Model for Prediction Across Scales coupled with the Joint Effort for Data assimilation Integration (MPAS-JEDI 2.0.0)
Ha, S., J.-J. Guerrette, I. Hernández Baños, W. C. Skamarock, and M. G. Duda
Three-dimensional variational assimilation with a multivariate background error covariance for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta)
Jung, B.-J., Ménétrier, B., Snyder, C., Liu, Z., Guerrette, J. J., Ban, J., Baños, I. H., Yu, Y. G., and Skamarock, W. C.
The Effect of Pseudo-Global Warming on the Weather-Climate System of Africa in a Convection-Permitting Model. Núñez Ocasio, K. M., and Dougherty, E. M.
Moisture Dependence of an African Easterly Wave Within the West African Monsoon System
Núñez Ocasio, K. M., Davis, C. A., Moon Z. L., and Lawton, Q. A.
2023¶
Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta): ensemble of 3D ensemble-variational (En-3DEnVar) assimilations
Guerrette, J. J., Liu, Z., Snyder, C., Jung, B.-J., Schwartz, C. S., Ban, J., Vahl, S., Wu, Y., Baños, I. H., Yu, Y. G., Ha, S., Trémolet, Y., Auligné, T., Gas, C., Ménétrier, B., Shlyaeva, A., Miesch, M., Herbener, S., Liu, E., Holdaway, D., and Johnson, B. T.
African easterly wave evolution and tropical cyclogenesis in a pre-Helene (2006) hindcast using the Model for Prediction Across Scales-Atmosphere (MPAS-A)
Núñez Ocasio, K. M., and Rios-Berrios, R.
2022¶
Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 1.0.0): EnVar implementation and evaluation
Liu, Z., Snyder, C., Guerrette, J. J., Jung, B.-J., Ban, J., Vahl, S., Wu, Y., Trémolet, Y., Auligné, T., Ménétrier, B., Shlyaeva, A., Herbener, S., Liu, E., Holdaway, D., and Johnson, B. T.
2021¶
Establishing the suitability of the Model for Prediction Across Scales for global retrospective air quality modeling
Gilliam, R. C., J. A. Herwehe, O. R. Bullock Jr, J. E. Pleim, L. Ran, P. C. Campbell, and H. Foroutan
Validation of a Prototype Global 4D-Var Data Assimilation System for the MPAS-Atmosphere Model
Tian, X. and X. Zou
Hurricane Predictability Analysis with Singular Vectors of the Multiresolution Global Shallow Water Model
Tian, X. and K. Ide
Investigation of Spatial and Temporal Wind-Speed Variability During Open Cellular Convection with the Model for Prediction Across Scales in Comparison with Measurements
Imberger, M., Larsén, X.G. & Davis, N.
2020¶
Development of the Tangent Linear and Adjoint Models of the MPAS-Atmosphere Dynamic Core and Applications in Adjoint Relative Sensitivity Studies
Tian, X. and X. Zou
Mean climate and tropical rainfall variability in aquaplanet simulations using the Model for Prediction Across Scales‐Atmosphere
Rios‐Berrios, R., Medeiros, B., & Bryan, G. H.
Impact of scale-aware deep convection on the cloud liquid and ice water paths and precipitation using the Model for Prediction Across Scales (MPASv-5.2)
Fowler, L.D., M.C. Barth, and K. Alapaty
A Simulation Study of Kelvin Waves Interacting with Synoptic Events during December 2016 in the South China Sea and Maritime Continent
Hsu, L., L. Tseng, S. Hou, B. Chen, and C. Sui
2019¶
Evaluation of a unique approach to high-resolution climate modeling using the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1
Michaelis, A. C., G. M. Lackmann, and W. A. Robinson
Medium-Range Convection-Allowing Ensemble Forecasts with a Variable-Resolution Global Model
Schwartz, C. S.
Vertical Resolution Requirements in Atmospheric Simulations
Skamarock, W. C., C. Snyder, J. B. Klemp, and S-H. Park
Modeling extreme precipitation over East China with a global variable-resolution modeling framework (MPASv5.2): impacts of resolution and physics
Zhao, C., M. Xu, Y. Wang, M. Zhang, J. Guo, Z. Hu, L. R. Leung, M. Duda, and W. Skamarock
2018¶
Adding four-dimensional data assimilation by analysis nudging to the Model for Prediction Across Scales – Atmosphere (version 4.0)
Bullock Jr., O. R., Foroutan, H., Gilliam, R. C., and Herwehe, J. A.
Limited-Area Atmospheric Modeling Using an Unstructured Mesh
Skamarock, W. C., M. G. Duda, S. Ha, and S-H. Park
Insights into Atmospheric Predictability through Global Convection-Permitting Model Simulations
Judt, F.
2017¶
Ensemble Kalman Filter Data Assimilation for the Model for Prediction Across Scales (MPAS)
Ha, S., C. Snyder, W. C. Skamarock, J. Anderson, and N. Collins
Influences of Large-scale Flow Variations on the Track Evolution of Typhoons Morakot (2009) and Megi (2010): Simulations with a Global Variable-Resolution Model
Huang, C.-Y., Z. You, W. C. Skamarock, and L.-H. Hsu
A Thickness-Weighted Average Perspective of Force Balance in an Idealized Circumpolar Current
Ringler, T. D., Saenz, J.A., Wolfram, P.J., and Van Roekel, L.
Quantifying Residual, Eddy, and Mean Flow Effects on Mixing in an Idealized Circumpolar Current
Wolfram, P. J. and Ringler, T. D.
2016¶
Evaluating medium-range tropical cyclone forecasts in uniform- and variable-resolution global models
Davis, C. A., D. A. Ahijevych, W. Wang, and W. C. Skamarock
Spectral characteristics of convective-scale precipitation observations and forecasts
Wong, M. and W. C. Skamarock
Exploring the impacts of physics and resolution on aqua-planet simulations from a nonhydrostatic global variable-resolution modeling framework
Zhao, C., L. R. Leung, S.-H. Park, S. Hagos, J. Lu, K. Sakaguchi, J. Yoon, B. E. Harrop, W. Skamarock, and M. G. Duda
Roles of deep and shallow convection and microphysics in the MJO simulated by the Model for Prediction Across Scales
Pilon, R., C. Zhang, and J. Dudhia
Analyzing the Grell–Freitas Convection Scheme from Hydrostatic to Nonhydrostatic Scales within a Global Model
Fowler, L. D., W. C. Skamarock, G. A. Grell, S. R. Freitas, and M. G. Duda
Towards convection-resolving, global atmospheric simulations with the Model for Prediction Across Scales (MPAS) v3.1: an extreme scaling experiment
Heinzeller, D., M.G. Duda, and H. Kunstmann
2015¶
Idealized global nonhydrostatic atmospheric test cases on a reduced-radius sphere
Klemp, J. B., W. C. Skamarock, and S.-H. Park
Evaluation of tropical channel refinement using MPAS-A aquaplanet simulations
Martini, M. N., W. I. Gustafson Jr., T. O’Brien, and P.-L. Ma
A Semi-Implicit Version of the MPAS-Atmosphere Dynamical Core
Sandbach, S., J. Thuburn, D. Vassilev, and M. G. Duda
Exploring a Multiresolution Approach Using AMIP Simulations
Sakaguchi, K., L. R. Leung, C. Zhao, Q. Yang, J. Lu, S. Hagos, S. A. Rauscher, L. Dong, T. D. Ringler, and P. H. Lauritzen
Resolution and Dynamical Core Dependence of Atmospheric River Frequency in Global Model Simulations
Hagos, S., L. R. Leung, Q. Yang, C. Zhao, and J. Lu
Diagnosing isopycnal diffusivity in an eddying, idealized midlatitude ocean basin via Lagrangian, in Situ, Global, High-Performance Particle Tracking (LIGHT)
Wolfram, P. J., Ringler, T. D., Maltrud, M. E., Jacobsen, D. W., Petersen, M. R.
2014¶
Atmospheric kinetic energy spectra from global high-resolution nonhydrostatic simulations
Skamarock, W. C., S.-H. Park, J. B. Klemp, and C. Snyder
A Comparison of Mesh Refinement in the Global MPAS-A and WRF Models Using an Idealized Normal-Mode Baroclinic Wave Simulation
Park, S.-H., J. B. Klemp and W. C. Skamarock
Impact of Variable-Resolution Meshes on Midlatitude Baroclinic Eddies Using CAM-MPAS-A
Rauscher, S. A., & Ringler, T. D.
Visualizing Large 3D Geodesic Grid Data with Massively Distributed GPUs. IEEE Symposium on Large Data Analysis and Visualization 2014 October 9–10, Paris, France
Xie, J., H, Yoy, K. Ma
The Dependence of ITCZ Structure on Model Resolution and Dynamical Core in Aquaplanet Simulations
Landu, K., Leung, L. R., Hagos, S., Vinoj, V., Rauscher, S. A., Ringler, T., & Taylor, M.
Atmospheric Moisture Budget and Spatial Resolution Dependence of Precipitation Extremes in Aquaplanet Simulations
Yang, Qing, L. Ruby Leung, Sara A Rauscher, Todd D. Ringler, and Mark A. Taylor
Atmospheric Moisture Budget and Spatial Resolution Dependence of Precipitation Extremes in Aquaplanet Simulations
Yang, Q., Leung, L. R., Rauscher, S. A., Ringler, T. D., & Taylor, M. A.
2013¶
Evaluation of global atmospheric solvers using extensions of the Jablonowski and Williamson baroclinic wave test case
S.-H. Park, W. Skamarock, J. Klemp, L. Fowler, and M. Duda
A Multi-Resolution Approach to Global Ocean Modeling
Ringler, T., Petersen, M., Higdon, R. L., Jacobsen, D., Jones, P. W., & Maltrud, M.
Parallel algorithms for planar and spherical Delaunay construction with an application to centroidal Voronoi tessellations
Jacobsen, D. W., Gunzburger, M., Burkardt, J., & Peterson, J.
Unified Matching Grids for Multidomain Multiphysics Simulations
Womeldorff, G., Peterson, J., Gunzburger, M., & Ringler, T.
A hierarchical evaluation of regional climate simulations
L Ruby Leung, Todd Ringler, William D Collins, Mark Taylor, Moetasim Ashfaq, Eos
Error Characteristics of Two Grid Refinement Approaches in Aquaplanet Simulations: MPAS-A and WRF
Hagos, S., Leung, R., Rauscher, S. A., & Ringler, T.
2012¶
Exploring a Global Multi-Resolution Modeling Approach Using Aquaplanet Simulations
Rauscher, S., T. Ringler, W. Skamarock, and A. Mirin
A Multi-scale Nonhydrostatic Atmospheric Model Using Centroidal Voronoi Tesselations and C-Grid Staggering
William C. Skamarock, Joseph B. Klemp, Michael G. Duda, Laura Fowler, Sang-Hun Park, and Todd D. Ringler
2011¶
A Terrain-Following Coordinate with Smoothed Coordinate Surfaces
Joseph B. Klemp
Conservative Transport Schemes for Spherical Geodesic Grids: High-Order Flux Operators for ODE-Based Time Integration
Skamarock, W. and A. Gassmann
Exploring a Multi-Resolution Modeling Approach within the Shallow-Water Equation
Ringler, T., D.W. Jacobsen, M. Gunzburger, L. Ju, M. Duda and W. Skamarock
2010¶
A unified approach to energy conservation and potential vorticity dynamics on arbitrarily structured C-grids
Ringler, T., J. Thuburn, J. Klemp and W. Skamarock
Voronoi Diagrams and Application in Climate and Global Modeling
Ju, L., T. Ringler and M. Gunzburber
2009¶
Numerical representation of geostrophic modes on arbitrarily structured C-grids
Thuburn, J., T. Ringler, J. Klemp and W. Skamarock
2008¶
A multiresolution method for climate system modeling: application of spherical centroidal Voronoi tessellations
Ringler, T., L. Ju and M. Gunzburger
2003¶
Constrained centroidal Voronoi tessellations for surfaces
Du, Q., M. Gunzburger and L. Ju
Voronoi-based finite volume methods, optimal Voronoi meshes, and PDEs on the sphere
Du, Q., M. Gunzburger, L. Ju
2002¶
Probabilistic methods for centroidal Voronoi tessellations and their parallel implementations
Ju, L., Q. Du and M. Gunzburger
1999¶
Centroidal Voronoi tessellations: Applications and algorithms
Du, Q., V. Faber and M. Gunzburger
Please send MPAS-relevant references and http addresses to ringler at lanl dot gov and/or skamaroc at ucar dot edu.