A novel observationally constrained probabilistic trigger for mesoscale convective systems improves spatiotemporal scales of tropical precipitation and ensemble spread in NWP models compared to prior MCSP schemes.
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Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
A data-driven ABL flux parameterization using convolution operators on mean profiles, trained and tested on LES, improves on standard K-profile closures while remaining interpretable.
GPU port of entropy-stable DG Euler solver with non-conservative buoyancy terms reaches nearly 70% of 64-bit peak on A100 volume kernels, delivers 10x speedup and 13x better energy efficiency versus CPU, and preserves symmetry-based flux savings.
citing papers explorer
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An observationally constrained probabilistic trigger for organized deep convection in an NWP ensemble
A novel observationally constrained probabilistic trigger for mesoscale convective systems improves spatiotemporal scales of tropical precipitation and ensemble spread in NWP models compared to prior MCSP schemes.
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Data-Driven Flux Parameterization for the Atmospheric Boundary Layer
A data-driven ABL flux parameterization using convolution operators on mean profiles, trained and tested on LES, improves on standard K-profile closures while remaining interpretable.
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GPU Performance of an Entropy-Stable Discontinuous Galerkin Euler Solver with Non-Conservative Terms
GPU port of entropy-stable DG Euler solver with non-conservative buoyancy terms reaches nearly 70% of 64-bit peak on A100 volume kernels, delivers 10x speedup and 13x better energy efficiency versus CPU, and preserves symmetry-based flux savings.