B
Bruno Sportisse
Researcher at French Institute for Research in Computer Science and Automation
Publications - 64
Citations - 2201
Bruno Sportisse is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Aerosol & Data assimilation. The author has an hindex of 25, co-authored 64 publications receiving 2074 citations. Previous affiliations of Bruno Sportisse include École des ponts ParisTech & University of Paris.
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An Analysis of Operator Splitting Techniques in the Stiff Case
TL;DR: In this paper, the authors consider the case of two operators: a stiff one and a non-stiff one, and derive new results concerning the order of local errors for the two operators.
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Technical Note: The air quality modeling system Polyphemus
Vivien Mallet,Vivien Mallet,Denis Quélo,Bruno Sportisse,Bruno Sportisse,M. Ahmed de Biasi,M. Ahmed de Biasi,Edouard Debry,Irène Korsakissok,Irène Korsakissok,Lin Wu,Lin Wu,Yelva Roustan,Yelva Roustan,Karine Sartelet,M. Tombette,H. Foudhil +16 more
TL;DR: Polyphemus is an air quality modeling platform which deals with applications from local scale to continental scale, using two Gaussian models and two Eulerian models to manage passive tracers, radioactive decay, photochemistry and aerosol dynamics.
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A review of parameterizations for modelling dry deposition and scavenging of radionuclides
TL;DR: In this article, the state-of-the-science parameterizations for modeling dry deposition and scavenging of atmospheric tracers, with a focus on radionuclides, are reviewed.
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Simulation of aerosols and gas-phase species over Europe with the POLYPHEMUS system: Part I-Model-to-data comparison for 2001
TL;DR: A preliminary validation study of the Polyphemus system applied over Europe for 2001 of the aerosol model, a sectional model that describes the temporal evolution of the size/composition distribution of atmospheric particles containing a mix of black carbon, mineral dust, inorganic species, and primary and secondary organics.
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Uncertainty in a chemistry-transport model due to physical parameterizations and numerical approximations: An ensemble approach applied to ozone modeling
TL;DR: In this article, an ensemble of 20 simulations is generated from a reference simulation in which one key parameterization (chemical mechanism, dry deposition parameterization, turbulent closure) or one numerical approximation (grid size, splitting method, etc.) is changed at a time.