Peter Ukkonen PhD: Publications

Emulation of sub-grid physics using stochastic, vertically recurrent neural networks

Copernicus Publications (2025)

Authors:

Peter Ukkonen, Laura Mansfield, Hannah Christensen

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First results and future plans for ecRad radiation in Météo-France models

Copernicus Publications (2024)

Authors:

Sophia Schäfer, Robin Hogan, Quentin Rodier, Quentin Libois, Yann Seity, Romain Roehrig, Peter Ukkonen

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Representing sub-grid processes in weather and climate models via sequence learning

(2024)

Authors:

Peter Ukkonen, Matthew Chantry

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Twelve Times Faster yet Accurate: A New State‐Of‐The‐Art in Radiation Schemes via Performance and Spectral Optimization

Journal of Advances in Modeling Earth Systems American Geophysical Union (AGU) 16:1 (2024)

Authors:

Peter Ukkonen, Robin J Hogan

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Implementation of a machine-learned gas optics parameterization in the ECMWF Integrated Forecasting System: RRTMGP-NN 2.0

Geoscientific Model Development Copernicus Publications 16:11 (2023) 3241-3261

Authors:

Peter Ukkonen, Robin J Hogan

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Peter Ukkonen PhD

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Emulation of sub-grid physics using stochastic, vertically recurrent neural networks

Authors:

First results and future plans for ecRad radiation in Météo-France models

Authors:

Representing sub-grid processes in weather and climate models via sequence learning

Authors:

Twelve Times Faster yet Accurate: A New State‐Of‐The‐Art in Radiation Schemes via Performance and Spectral Optimization

Authors:

Implementation of a machine-learned gas optics parameterization in the ECMWF Integrated Forecasting System: RRTMGP-NN 2.0

Authors:

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Peter Ukkonen PhD

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Emulation of sub-grid physics using stochastic, vertically recurrent neural networks

Authors:

First results and future plans for ecRad radiation in Météo-France models

Authors:

Representing sub-grid processes in weather and climate models via sequence learning

Authors:

Twelve Times Faster yet Accurate: A New State‐Of‐The‐Art in Radiation Schemes via Performance and Spectral Optimization

Authors:

Implementation of a machine-learned gas optics parameterization in the ECMWF Integrated Forecasting System: RRTMGP-NN 2.0

Authors: