206 citations
- École nationale des ponts et chausséesFR15 papers
- Nansen Environmental and Remote Sensing Center7 papers
- Paris-Est SupFR7 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Pôle de recherche et d'enseignement supérieur Université Paris-EstFR4 papers
- CERMICSFR3 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR3 papers
- Électricité de France (France)FR3 papers
- Laboratoire NavierFR3 papers
- National Centre for Earth ObservationGB3 papers
- Sorbonne UniversitéFR3 papers
- University of ReadingGB3 papers
32 papers
Chemistry, Climate, and Transmission Spectra of TRAPPIST-1 e Explored with a Multimodel Sparse Sampled Ensemble
Eric T. Wolf, Edward W. Schwieterman, Jacob Haqq-Misra +6
TRAPPIST-1 e is one of a few habitable zone exoplanets that is amenable to characterization in the near term. In this study our motivations are both scientific and technical. Our t…
A CFD model for heat and mass transfer leading to plume formation within Wet Cooling Towers
Luc Favre, Martin Ferrand
The crucial role played by Wet Cooling Towers (WCT) in many electricity production plants (e.g. nuclear power plants) make them a key parameter in the industrial design of such fac…
Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data
Yihang Zhou, Ruige Kong, Zhengsen Xu +2
Facing the escalating threat of global wildfires, numerous computer vision techniques using remote sensing data have been applied in this area. However, the selection of deep learn…
Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts
Aaron Van Poecke, Tobias Sebastian Finn, Ruoke Meng +6
Current postprocessing techniques often require separate models for each lead time and disregard possible inter-ensemble relationships by either correcting each member separately o…
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint
Hanyang Wang, Hao Zhou, Sibo Cheng
Despite the success of various methods in addressing the issue of spatial reconstruction of dynamical systems with sparse observations, spatio-temporal prediction for sparse fields…
Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale
Sibo Cheng, Hector Chassagnon, Matthew Kasoar +2
Global wildfire models play a crucial role in anticipating and responding to changing wildfire regimes. JULES-INFERNO is a global vegetation and fire model simulating wildfire emis…