Peter Andrew Bosler

Computational Science

(505) 845-0427

Sandia National Laboratories, New Mexico
P.O. Box 5800
Albuquerque, NM 87185-1321

Biography

Dr. Peter Bosler researches interdisciplinary applied mathematics and scientific computation for coupled multiphysics/multiscale problems. His projects involve close coupling between numerical methods development, data collection and application science, and high performance computing. Recent projects have been aimed at applications in climate modeling and plasma physics. His technical background includes work with vortex methods, Lagrangian particle methods, discontinuous Galerkin methods, Lagrangian/semi-Lagrangian transport schemes, and atmospheric aerosol microphysics parameterizations.

He is a veteran of the U.S. Navy, whose active duty service included both surface warfare and meteorology/oceanography operational support.

Education

Ph.D. Applied Mathematics, University of Michigan, 2013.
M.S. Applied Mathematics, University of Michigan, 2010.
B.S. (honors) Oceanography, U.S. Naval Academy, 2002.

Publications

Andrew Bradley, Peter Bosler, Oksana Guba, (2022). Islet: interpolation semi-Lagrangian element-based transport Geoscientific Model Development (Online) https://doi.org/10.5194/gmd-15-6285-2022 Publication ID: 80947

Andrew Bradley, Peter Bosler, Oksana Guba, Mark Taylor, (2021). Interpolation Semi-Lagrangian Element-Based Transport (Islet) with p-refinement for extremely high-resolution tracer transport https://doi.org/10.2172/1902840 Publication ID: 77049

Oksana Guba, Mark Taylor, Andrew Bradley, Peter Bosler, Andrew Steyer, (2021). A framework to evaluate IMEX schemes for atmospheric models https://doi.org/10.2172/1869551 Publication ID: 78539

Peter Bosler, (2021). An extended vortex method for rotating compressible flow on the sphere https://doi.org/10.2172/1853852 Publication ID: 77400

Oksana Guba, Mark Taylor, Andrew Bradley, Peter Bosler, Andrew Steyer, (2020). A framework to evaluate IMEX schemes for atmospheric models Geoscientific Model Development https://doi.org/10.5194/gmd-13-6467-2020 Publication ID: 73599

Peter Bosler, Andrew Bradley, Mark Taylor, Oksana Guba, (2020). Computing challenges in weather and climate modeling https://www.osti.gov/servlets/purl/1826993 Publication ID: 71340

Peter Bosler, Oksana Guba, Mark Taylor, Andrew Bradley, balu nadiga, Xiaoming Sun, mat maltrud, (2020). Compact performance portable semi-Lagrangian algorithms for E3SM https://www.osti.gov/servlets/purl/1830934 Publication ID: 71396

Pavel Bochev, Peter Bosler, Paul Kuberry, Mauro Perego, Kara Peterson, Nathaniel Trask, (2019). Compatible Particle Discretizations. Final LDRD Report https://doi.org/10.2172/1569143 Publication ID: 65024

Peter Bosler, Andrew Bradley, Oksana Guba, Mark Taylor, (2019). Algorithms and software for fast tracer transport in E3SM https://www.osti.gov/servlets/purl/1807176 Publication ID: 70343

Mauro Perego, Pavel Bochev, Peter Bosler, Paul Kuberry, Kara Peterson, Nathaniel Trask, (2019). Advances in the Approximation Theory of Generalized Moving Least Squares https://www.osti.gov/servlets/purl/1640218 Publication ID: 68848

Mauro Perego, Pavel Bochev, Nathaniel Trask, Peter Bosler, Paul Kuberry, Kara Peterson, (2019). Advances in the Approximation Theory for Generalized Moving Least Squares https://www.osti.gov/servlets/purl/1639699 Publication ID: 67960

Andrew Bradley, Peter Bosler, Oksana Guba, Mark Taylor, Gregory Barnett, (2019). Communication-efficient property preservation in tracer transport SIAM Journal on Scientific Computing https://doi.org/10.1137/18M1165414 Publication ID: 67413

Peter Bosler, Andrew Bradley, Mark Taylor, (2019). Conservative multimoment transport along characteristics for discontinuous Galerkin methods SIAM Journal on Scientific Computing https://doi.org/10.1137/18M1165943 Publication ID: 70131

Peter Bosler, Andrew Bradley, Oksana Guba, Mark Taylor, Gregory Barnett, balu nadiga, (2018). Semi-Lagrangian algorithm design for atmospheric modeling using heterogeneous computing architectures https://www.osti.gov/servlets/purl/1573557 Publication ID: 60018

Oksana Guba, Peter Bosler, Andrew Bradley, Chris Golaz, Mark Taylor, Gregory Barnett, (2018). Semi-Lagrangian transport in the atmospheric dycore of E3SM https://www.osti.gov/servlets/purl/1592361 Publication ID: 59969

Paul Kuberry, Peter Bosler, Nathaniel Trask, Mauro Perego, Kara Peterson, Pavel Bochev, (2018). The Compadre Toolkit https://www.osti.gov/servlets/purl/1594258 Publication ID: 59467

Pavel Bochev, Nathaniel Trask, Paul Kuberry, Mauro Perego, Kara Peterson, Peter Bosler, (2018). Compatible meshless methods for DPEs https://www.osti.gov/servlets/purl/1806965 Publication ID: 59543

Kara Peterson, Mauro Perego, Jennifer Frederick, Lauren Wheeler, Peter Bosler, Anne Ruffing, Ryan Davis, Leanne Whitmore, Kunal Poorey, Kelly Williams, Erika Roesler, Paul Bryan, Andrew Salinger, Jasper Hardesty, Vincent Tidwell, Anup Singh, (2018). SNL/BER Review 2018 https://www.osti.gov/servlets/purl/1594318 Publication ID: 59367

Mauro Perego, Pavel Bochev, Nathaniel Trask, Peter Bosler, Paul Kuberry, Kara Peterson, (2018). Advances in the Approximation Theory for Functional Reconstructions Using GMLS and Applications to Meshless Discretization of Differential Equations https://www.osti.gov/servlets/purl/1573545 Publication ID: 63442

Peter Bosler, Andrew Bradley, Mark Taylor, Oksana Guba, Gregory Barnett, (2018). Conservative Semi-Lagrangian Multi-Moment (SLMM) transport on the sphere https://www.osti.gov/servlets/purl/1524836 Publication ID: 62358

Peter Bosler, James Kent, Robert Krasny, Christiane Jablonowski, (2017). A Lagrangian particle method with remeshing for tracer transport on the sphere Journal of Computational Physics https://doi.org/10.1016/j.jcp.2017.03.052 Publication ID: 44883

Peter Bosler, Andrew Bradley, Mark Taylor, (2017). Conservative multi-moment characteristic Galerkin transport on the sphere https://www.osti.gov/servlets/purl/1457843 Publication ID: 56117

William Spotz, Irina Tezaur, Peter Bosler, Jeffrey Fike, Oksana Guba, Thomas Smith, Jerry Watkins, Irina Demeshko, (2016). Aeras: A Performance Portable High-Resolution Global Atmosphere Model https://www.osti.gov/servlets/purl/1413413 Publication ID: 48115

Peter Bosler, Steven Bova, Irina Demeshko, Jeffrey Fike, Oksana Guba, James Overfelt, Erika Roesler, Andrew Salinger, Thomas Smith, Irina Tezaur, Jerry Watkins, (2016). The Aeras Next Generation Global Atmosphere Model https://doi.org/10.2172/1562816 Publication ID: 52624

Peter Bosler, Erika Roesler, Mark Taylor, Miranda Mundt, (2016). Stride Search: A general algorithm for storm detection in high-resolution climate data Geoscientific Model Development https://doi.org/10.5194/gmd-9-1383-2016 Publication ID: 44059

Erika Roesler, Peter Bosler, Mark Taylor, (2015). Modeling of Arctic Storms with a Variable High-Resolution General Circulation Model https://doi.org/10.2172/1211557 Publication ID: 44921

Erika Roesler, Mark Taylor, Mark Boslough, Peter Bosler, (2014). Arctic Storms in a Regionally Refined Atmospheric General Circulation Model https://www.osti.gov/servlets/purl/1314541 Publication ID: 39850

Peter Bosler, James Kent, Robert Kransy, Christiane Jablonowski, (2014). Adaptive particle methods for global geophysical flow https://www.osti.gov/servlets/purl/1242714 Publication ID: 39655

Peter Bosler, Robert Krasny, Christiane Jablonowski, (2014). Adaptive Particle / Panel Methods for Global Geophysical Flow https://www.osti.gov/servlets/purl/1497615 Publication ID: 38061

Showing Results. Show More Publications

Projects

E3SM - Energy Exascale Earth System Model

Software

E3SM

Trilinos

Awards & Recognition

2014

Peter Andrew Bosler, Anthony Gruber, , , John von Neumann Fellowship, Sandia National Laboratories, The John von Neumann Postdoctoral Research Fellowship in Computational Science offers an exceptional opportunity to conduct innovative research in computational mathematics and scientific computing on advanced computing architectures. As members of either the Computing Research Center at Sandia/New Mexico or the Computer Sciences and Information Systems Center at Sandia/California, von Neumann Fellows apply their research findings to a broad range of science and engineering problems of national importance., August 1, 2014