1k citations
- University of ExeterGB58 papers
- Centre National de la Recherche ScientifiqueFR30 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR15 papers
- Goddard Space Flight CenterUS15 papers
- Maison de la SimulationFR13 papers
- Goddard Institute for Space StudiesUS12 papers
- Columbia UniversityUS11 papers
- Centre de Recherche Astrophysique de LyonFR10 papers
- Université de Versailles Saint-Quentin-en-YvelinesFR10 papers
- Université Paris-SaclayFR10 papers
- University of OxfordGB10 papers
- University of EdinburghGB9 papers
159 papers
Recent Weakening of the Global Radiative Feedback
Senne Van Loon, Maria Rugenstein, Mark D. Zelinka +1
Earth's climate stability, characterized by the global radiative feedback parameter (), varies decadally due to changing surface temperature patterns. Recent variations in a…
Addressing the World War 2 Warm Anomaly in HadSST.4.2.0.0
Caroline Sandford, Nick Rayner
We present an update to the Hadley Centre Sea-Surface Temperature dataset (HadSST.4.2.0.0) that addresses residual warm bias during the Second World War (WW2). Using an existing qu…
Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
Pritthijit Nath, Sebastian Schemm, Henry Moss +3
Weather and climate models rely on parametrisations to represent unresolved sub-grid processes. Traditional schemes rely on fixed coefficients that are weakly constrained and tuned…
FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design
Tom Dunstan, Oliver Strickson, Thusal Bennett +31
Machine learning weather prediction (MLWP) models have demonstrated remarkable potential in delivering accurate forecasts at significantly reduced computational cost compared to tr…
Catastrophic disruption of asteroid 2023 CX1 and implications for planetary defense
Auriane Egal, Denis Vida, François Colas +94
Mitigation of the threat from airbursting asteroids requires an understanding of the potential risk they pose for the ground. How asteroids release their kinetic energy in the atmo…
Assimilation of machine learning-predicted nitrate to improve the quality of phytoplankton forecasting in the shelf sea environment
Deep S Banerjee, Jozef Skakala, David Ford
We demonstrate that assimilating Neural Network (NN)-predicted surface nitrate leads to a major improvement in phytoplankton short-range (1-5 day) dynamical model forecasts for the…