506 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- P. Dueben2 profiles13 · h 20
- P. Smolarkiewicz2 profiles11 · h 59
- T. Palmer3 profiles10 · h 86
- G. Guerrero2 profiles7 · h 11
- J. Bidlot7 · h 50
- Ø. Breivik6 · h 34
- A. Kosovichev2 profiles5 · h 54
- F. Pappenberger2 profiles5 · h 80
- M. Chantry5 · h 20
- P. Janssen4 · h 47
- E. M. de Gouveia Dal Pino3 · h 22
- L. Magnusson3 · h 32
- University of OxfordGB10 papers
- Norwegian Meteorological InstituteNO8 papers
- University of ReadingGB8 papers
- Imperial College LondonGB7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Universidade Federal de Minas GeraisBR6 papers
- New Jersey Institute of TechnologyUS5 papers
- Ames Research CenterUS4 papers
- NSF National Center for Atmospheric ResearchUS4 papers
- University of DebrecenHU4 papers
- Deutscher WetterdienstDE3 papers
- ETH ZurichCH3 papers
9 papers · 1 filter
Machine Learning Emulation of Urban Land Surface Processes
David Meyer, Sue Grimmond, Peter Dueben +2
Can we improve the modeling of urban land surface processes with machine learning (ML)? A prior comparison of urban land surface models (ULSMs) found that no single model is 'best'…
Conservation with moving meshes over orography
Hiroe Yamazaki, Hilary Weller, Colin J. Cotter +1
Adaptive meshes have the potential to improve the accuracy and efficiency of atmospheric modelling by increasing resolution where it is most needed. Mesh re-distribution, or r-adap…
A comparison of data-driven approaches to build low-dimensional ocean models
Niraj Agarwal, Dmitri Kondrashov, Peter Dueben +2
We present a comprehensive inter-comparison of linear regression (LR), stochastic, and deep-learning approaches for reduced-order statistical emulation of ocean circulation. The re…
What do large-scale patterns teach us about extreme precipitation over the Mediterranean at medium- and extended-range forecasts?
Nikolaos Mastrantonas, Linus Magnusson, Florian Pappenberger +1
Extreme Precipitation Events (EPEs) can have devastating consequences such as floods and landslides, posing a great threat to society and the economy. Predicting such events long i…
Exploring the structure of time-correlated model errors in the ECMWF Data Assimilation System
Massimo Bonavita
Model errors are increasingly seen as a fundamental performance limiter in both Numerical Weather Prediction and Climate Prediction simulations run with state of the art Earth syst…
Bridging observation, theory and numerical simulation of the ocean using Machine Learning
Maike Sonnewald, Redouane Lguensat, Daniel C. Jones +3
Progress within physical oceanography has been concurrent with the increasing sophistication of tools available for its study. The incorporation of machine learning (ML) techniques…
Mixed-precision for Linear Solvers in Global Geophysical Flows
Jan Ackmann, Peter D. Düben, Tim N. Palmer +1
Semi-implicit time-stepping schemes for atmosphere and ocean models require elliptic solvers that work efficiently on modern supercomputers. This paper reports our study of the pot…
Machine Learning Emulation of 3D Cloud Radiative Effects
David Meyer, Robin J. Hogan, Peter D. Dueben +1
The treatment of cloud structure in numerical weather and climate models is often greatly simplified to make them computationally affordable. Here we propose to correct the Europea…
Machine learning emulation of gravity wave drag in numerical weather forecasting
Matthew Chantry, Sam Hatfield, Peter Duben +2
We assess the value of machine learning as an accelerator for the parameterisation schemes of operational weather forecasting systems, specifically the parameterisation of non-orog…