Peter Ukkonen PhD: Publications

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

More details from the publisher

More details

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

More details from the publisher

More details

Emulating radiative transfer in a numerical weather prediction model

Copernicus Publications (2023)

Authors:

Matthew Chantry, Peter Ukkonen, Robin Hogan, Peter Dueben

More details from the publisher

Exploring Pathways to More Accurate Machine Learning Emulation of Atmospheric Radiative Transfer

Journal of Advances in Modeling Earth Systems American Geophysical Union (AGU) 14:4 (2022)

More details from the publisher

More details

Accelerating Radiation Computations for Dynamical Models With Targeted Machine Learning and Code Optimization

Journal of Advances in Modeling Earth Systems American Geophysical Union (AGU) 12:12 (2020)

Authors:

Peter Ukkonen, Robert Pincus, Robin J Hogan, Kristian Pagh Nielsen, Eigil Kaas

More details from the publisher

More details

Peter Ukkonen PhD

Research theme

Sub department

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:

Emulating radiative transfer in a numerical weather prediction model

Authors:

Exploring Pathways to More Accurate Machine Learning Emulation of Atmospheric Radiative Transfer

Accelerating Radiation Computations for Dynamical Models With Targeted Machine Learning and Code Optimization

Authors:

FIND US

CONTACT US

Peter Ukkonen PhD

Research theme

Sub department

Research groups

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:

Emulating radiative transfer in a numerical weather prediction model

Authors:

Exploring Pathways to More Accurate Machine Learning Emulation of Atmospheric Radiative Transfer

Accelerating Radiation Computations for Dynamical Models With Targeted Machine Learning and Code Optimization

Authors: