Piotr K. Smolarkiewicz

Orcid: 0000-0001-7077-3285

According to our database1, Piotr K. Smolarkiewicz authored at least 31 papers between 1996 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
A suite of Richardson preconditioners for semi-implicit all-scale atmospheric models.
J. Comput. Phys., 2022

2021
Mixed-precision for Linear Solvers in Global Geophysical Flows.
CoRR, 2021

2020
Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows.
CoRR, 2020

2019
Non-oscillatory forward-in-time integrators for viscous incompressible flows past a sphere.
J. Comput. Phys., 2019

Semi-implicit integrations of perturbation equations for all-scale atmospheric dynamics.
J. Comput. Phys., 2019

2018
MPDATA: Third-order accuracy for variable flows.
J. Comput. Phys., 2018

2017
A finite-volume module for cloud-resolving simulations of global atmospheric flows.
J. Comput. Phys., 2017

An unstructured-mesh finite-volume MPDATA for compressible atmospheric dynamics.
J. Comput. Phys., 2017

Atlas : A library for numerical weather prediction and climate modelling.
Comput. Phys. Commun., 2017

2016
Simulation of all-scale atmospheric dynamics on unstructured meshes.
J. Comput. Phys., 2016

A finite-volume module for simulating global all-scale atmospheric flows.
J. Comput. Phys., 2016

2015
An unstructured-mesh atmospheric model for nonhydrostatic dynamics: Towards optimal mesh resolution.
J. Comput. Phys., 2015

A spreading drop of shallow water.
J. Comput. Phys., 2015

Parallel ADI Preconditioners for All-Scale Atmospheric Models.
Proceedings of the Parallel Processing and Applied Mathematics, 2015

Accelerating Extreme-Scale Numerical Weather Prediction.
Proceedings of the Parallel Processing and Applied Mathematics, 2015

2014
A consistent framework for discrete integrations of soundproof and compressible PDEs of atmospheric dynamics.
J. Comput. Phys., 2014

The Monge-Ampère trajectory correction for semi-Lagrangian schemes.
J. Comput. Phys., 2014

Frontiers in Computational Physics: Modeling the Earth System.
J. Comput. Phys., 2014

2013
An unstructured-mesh atmospheric model for nonhydrostatic dynamics.
J. Comput. Phys., 2013

EULAG, a computational model for multiscale flows: An MHD extension.
J. Comput. Phys., 2013

2012
Modelling atmospheric flows with adaptive moving meshes.
J. Comput. Phys., 2012

2010
An edge-based unstructured mesh discretisation in geospherical framework.
J. Comput. Phys., 2010

Pores resolving simulation of Darcy flows.
J. Comput. Phys., 2010

2009
Iterated upwind schemes for gas dynamics.
J. Comput. Phys., 2009

On numerical realizability of thermal convection.
J. Comput. Phys., 2009

2008
Predicting weather, climate and extreme events.
J. Comput. Phys., 2008

2007
Building resolving large-eddy simulations and comparison with wind tunnel experiments.
J. Comput. Phys., 2007

2001
Modified multigrid for 3D elliptic equations with cross-derivatives.
Appl. Math. Comput., 2001

1998
Antidiffusive Velocities for Multipass Donor Cell Advection.
SIAM J. Sci. Comput., 1998

1997
Performance of a Massively Parallel 3D Non-Hydrostatic Atmospheric Fluid Model.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1997

1996
A comparison of high performance fortran and message passing parallelization of a geophysical fluid model.
Proceedings of the Conference on Parallel Computational Fluid Dynamics 1996, 1996


  Loading...