The formulation of a fully compressible nonhydrostatic atmospheric model called the Model
for Prediction Across Scales–Atmosphere (MPAS-A) is described. The solver is discretized …

As part of a broader effort to develop next-generation models for numerical weather
prediction and climate applications, a hydrostatic atmospheric dynamical core is developed …

A spatially arbitrary high order, semi-implicit spectral discontinuous Galerkin (DG) scheme
for the numerical solution of the shallow water equations on staggered control volumes is …

This paper describes the three-dimensional variational (3D-Var) data assimilation (DA)
system for the Model for Prediction Across Scales–Atmosphere with the Joint Effort for Data …

Limited-Area Atmospheric Modeling Using an Unstructured Mesh in: Monthly Weather Review
Volume 146 Issue 10 (2018) Jump to Content Jump to Main Navigation Logo Logo Logo Logo …

The main purpose of this paper is providing a systematic study and classification of non-
scalar kernels for Reproducing Kernel Hilbert Spaces (RKHS), to be used in the analysis of …

A solver for the nonhydrostatic deep-atmosphere equations of motion is described that
extends the capabilities of the Model for Prediction Across Scales-Atmosphere (MPAS-A) …

Ensemble Kalman Filter Data Assimilation for the Model for Prediction Across Scales (MPAS)
in: Monthly Weather Review Volume 145 Issue 11 (2017) Jump to Content Jump to Main …

In this paper, we present a computationally efficient semi‐implicit scheme for the simulation
of three‐dimensional hydrostatic free surface flow problems on staggered unstructured …

In this paper we present a novel particle method for the Vlasov–Poisson equation. Unlike in
conventional particle methods, the particles are not interpreted as point charges, but as point …