Výsledky vyhledávání - "Lucie Rottner"

Detection of bow echoes in kilometer-scale forecasts using a convolutional neural network

Autor: Arnaud Mounier, Laure Raynaud, Lucie Rottner, Matthieu Plu, Philippe Arbogast, Michaël Kreitz, Léo Mignan, Benoît Touzé

Publikováno v: Artificial Intelligence for the Earth Systems
Artificial Intelligence for the Earth Systems, 2022, ⟨10.1175/AIES-D-21-0010.1⟩

Bow echoes (BEs) are bow-shaped lines of convective cells that are often associated with swaths of damaging straight-line winds and small tornadoes. This paper describes a convolutional neural network (CNN) able to detect BEs directly from French kil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19828b06332d060a8188f91962b8a93d
https://hal-meteofrance.archives-ouvertes.fr/meteo-03811214

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Using Deep Learning for Restoration of Precipitation Echoes in Radar Data

Autor: Cécile Mallet, Yvon Lemaître, Laurent Barthès, Nicolas Viltard, Lucie Rottner, Camille Ly, Pierre Lepetit

Publikováno v: IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2022, 60, pp.5100914. ⟨10.1109/TGRS.2021.3052582⟩

International audience; Raw data issued from meteorological radars are often corrupted by unwanted signals generically called clutter. Hills, tall buildings, atmospheric turbulence, birds, and insects yield patterns that complicate the interpretation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2442bf521839f9dc3df51a7b54ad87bc
https://hal-insu.archives-ouvertes.fr/insu-03151106

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Benefit of microwave radiometer and cloud radar observations for data assimilation and fog process studies during the SOFOG3D experiment

Autor: Pauline Martinet, Frédéric Burnet, Alistair Bell, Arthur Kremer, Matthias Letillois, Ulrich Löhnert, Salomé Antoine, Olivier Caumont, Domenico Cimini, Julien Delanöe, Maxime Hervo, Thierry Huet, Jean-François Georgis, Emiliano Orlandi, Jeremy Price, Laure Raynaud, Lucie Rottner, Yann Seity, Vinciane Unger

Fog forecasts still remain quite inaccurate due to the complexity, non linearities and fine scale of the main physical processes driving the fog lifecycle. Additionally to the complex modelling of fog processes, current numerical weather prediction m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f5a18e2f8a5943258b84153bca4d2819
https://doi.org/10.5194/ems2021-232

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Weather scenarios from AROME-EPS forecasts using autoencoder and clustering methods

Autor: Arnaud Mounier, Laure Raynaud, Lucie Rottner, Matthieu Plu

The use of ensemble prediction systems (EPS) is challenging because of the huge information it provides. Forecasts from ensemble prediction systems (EPS) are often summarised by statistical quantities (ie quantiles maps). Although such mathematical r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a9935ac904514f9315c5f942b430a7a9
https://doi.org/10.5194/ems2021-31

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Object‐based verification metrics applied to the evaluation and weighting of convective‐scale precipitation forecasts

Autor: Lucie Rottner, Philippe Arbogast, Laure Raynaud, Iseline Pechin, Mayeul Destouches

Publikováno v: Quarterly Journal of the Royal Meteorological Society. 145:1992-2008

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0754db194329285d57275e2f9598b1f8
https://doi.org/10.1002/qj.3540

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Predicting Convective Storm Characteristics using Machine Learning from Hi-Resolution NWP Forecasts

Autor: Matteo Ponzano, Manuel Soler, Lucie Rottner, Javier García-Heras, Florenci Rey, Juan Pablo Simarro, Laure Raynaud, Aniel Jardines

Publikováno v: Conference Paper published at the General Assembly of the European Geoscience Union (EGU’21)

Convective weather represents a significant disruption to air traffic flow management (ATFM) operations. Thunderstorms are the cause for a substantial amount of delay in both the en-route and airport environment. Before the day of operations, poor pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbd47072170d15a075d5f2670a0e2fdb

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Autor: Lucie Rottner, Laure Raynaud, Philippe Arbogast, Yamina Hamidi, Mayeul Destouches

Publikováno v: Advances in Science and Research, Vol 16, Pp 209-213 (2019)

A new object-oriented method has been developed to detect hazardous phenomena predicted by Numerical Weather Prediction (NWP) models. This method, called similarity-based method, is looking for specific meteorological objects in the forecasts, which

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18fd22ea417fa2b609fa3d92708cabc2
https://www.adv-sci-res.net/16/209/2019/

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