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of 120
pro vyhledávání: '"Cruz, Lesley"'
Deep neural networks (DNNs) have demonstrated remarkable performance across various domains, yet their application to temporal graph regression tasks faces significant challenges regarding interpretability. This critical issue, rooted in the inherent
Externí odkaz:
http://arxiv.org/abs/2409.10996
Autor:
De Paepe, Geert, De Cruz, Lesley
In meteorology, finding similar weather patterns or analogs in historical datasets can be useful for data assimilation, forecasting, and postprocessing. In climate science, analogs in historical and climate projection data are used for attribution an
Externí odkaz:
http://arxiv.org/abs/2404.18314
Autor:
Vannitsem, Stéphane, Bremnes, John Bjørnar, Demaeyer, Jonathan, Evans, Gavin R., Flowerdew, Jonathan, Hemri, Stephan, Lerch, Sebastian, Roberts, Nigel, Theis, Susanne, Atencia, Aitor, Bouallègue, Zied Ben, Bhend, Jonas, Dabernig, Markus, De Cruz, Lesley, Hieta, Leila, Mestre, Olivier, Moret, Lionel, Plenković, Iris Odak, Schmeits, Maurice, Taillardat, Maxime, Bergh, Joris Van den, Van Schaeybroeck, Bert, Whan, Kirien, Ylhaisi, Jussi
Statistical postprocessing techniques are nowadays key components of the forecasting suites in many National Meteorological Services (NMS), with for most of them, the objective of correcting the impact of different types of errors on the forecasts. T
Externí odkaz:
http://arxiv.org/abs/2004.06582
The predictability of the atmosphere at short and long time scales, associated with the coupling to the ocean, is explored in a new version of the Modular Arbitrary-Order Ocean-Atmosphere Model (MAOOAM), based on a 2-layer quasi-geostrophic atmospher
Externí odkaz:
http://arxiv.org/abs/1901.06203
Autor:
Van de Vyver, Hans, Van Schaeybroeck, Bert, De Troch, Rozemien, De Cruz, Lesley, Hamdi, Rafiq, Villanueva-Birriel, Cecille, Marbaix, Philippe, van Ypersele, Jean-Pascal, Wouters, Hendrik, Broucke, Sam Vanden, van Lipzig, Nicole P. M., Doutreloup, Sébastien, Wyard, Coraline, Scholzen, Chloé, Fettweis, Xavier, Caluwaerts, Steven, Termonia, Piet
Publikováno v:
Journal of Applied Meteorology and Climatology, 2021 Oct 01. 60(10), 1423-1442.
Externí odkaz:
https://www.jstor.org/stable/27203797
Autor:
Duchêne, François, Hamdi, Rafiq, Van Schaeybroeck, Bert, Caluwaerts, Steven, De Troch, Rozemien, de Cruz, Lesley, Termonia, Piet
Publikováno v:
In Urban Climate December 2022 46
Autor:
De Cruz, Lesley, Schubert, Sebastian, Demaeyer, Jonathan, Lucarini, Valerio, Vannitsem, Stéphane
Publikováno v:
Nonlin. Processes Geophys. 25, 387-412, 2018
The stability properties of intermediate-order climate models are investigated by computing their Lyapunov exponents (LEs). The two models considered are PUMA (Portable University Model of the Atmosphere), a primitive-equation simple general circulat
Externí odkaz:
http://arxiv.org/abs/1712.08242
Autor:
Vannitsem, Stéphane, Bremnes, John Bjørnar, Demaeyer, Jonathan, Evans, Gavin R., Flowerdew, Jonathan, Hemri, Stephan, Lerch, Sebastian, Roberts, Nigel, Theis, Susanne, Atencia, Aitor, Bouallègue, Zied Ben, Bhend, Jonas, Dabernig, Markus, De Cruz, Lesley, Hieta, Leila, Mestre, Olivier, Moret, Lionel, Plenković, Iris Odak, Schmeits, Maurice, Taillardat, Maxime, Van den Bergh, Joris, Van Schaeybroeck, Bert, Whan, Kirien, Ylhaisi, Jussi
Publikováno v:
Bulletin of the American Meteorological Society, 2021 Mar 01. 102(3), E681-E699.
Externí odkaz:
https://www.jstor.org/stable/27207306
Akademický článek
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Publikováno v:
Geosci. Model Dev., 9, 2793-2808, 2016
This paper describes a reduced-order quasi-geostrophic coupled ocean-atmosphere model that allows for an arbitrary number of atmospheric and oceanic modes to be retained in the spectral decomposition. The modularity of this new model allows one to ea
Externí odkaz:
http://arxiv.org/abs/1603.06755