Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Laure Raynaud"'
Publikováno v:
Meteorological Applications, Vol 31, Iss 3, Pp n/a-n/a (2024)
Abstract This paper aims to explore machine learning techniques for post‐processing high‐resolution Numerical Weather Prediction (NWP) products for the early detection of convection. Data from the Arome Ensemble Prediction System and satellite ob
Externí odkaz:
https://doaj.org/article/eccd9c40ebb44da9bd853263c489da5f
Autor:
Olivier Bousquet, David Barbary, Soline Bielli, Selim Kebir, Laure Raynaud, Sylvie Malardel, Ghislain Faure
Publikováno v:
Atmospheric Science Letters, Vol 21, Iss 3, Pp n/a-n/a (2020)
Abstract In order to contribute to ongoing efforts on tropical cyclone (TC) forecasting, a new, convection‐permitting, limited‐area coupled model called AROME‐Indian Ocean (AROME‐IO) was deployed in the Southwest Indian Ocean basin (SWIO) in
Externí odkaz:
https://doaj.org/article/b79c2b26e22e4a998f7b1ff2a07f9756
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 148:920-942
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04accf29b5be3b4ea5d46773f84bc763
https://doi.org/10.1002/qj.4239
https://doi.org/10.1002/qj.4239
Autor:
Youness El-Ouartassy, Irène Korsakissok, Matthieu Plu, Olivier Connan, Laurent Descamps, Laure Raynaud
Publikováno v:
eISSN
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics, 2022, 22 (24), pp.15793-15816. ⟨10.5194/acp-22-15793-2022⟩
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics, 2022, 22 (24), pp.15793-15816. ⟨10.5194/acp-22-15793-2022⟩
Numerical atmospheric dispersion models (ADMs) are used for predicting the health and environmental consequences of nuclear accidents in order to anticipate countermeasures necessary to protect the populations. However, these simulations suffer from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39459b374cb3021bb36066f22953fca7
https://acp.copernicus.org/articles/22/15793/2022/
https://acp.copernicus.org/articles/22/15793/2022/
Autor:
Matteo Ponzano, Laure Raynaud, Marta Sanchez Cidoncha, Gilles Gawinowski, Manuel Fernando Soler Arnedo, Aniel Jardines, Juan Simarro, Danlin Zheng, Yan Xu, Elodie Bastie, Berangère Arnould, Florenci Rey, Ahmed Khassiba, Aurelie Peuaud, Marie Carré
Flight delays are one of the major concerns in air traffic management. The impact of flight delays represents financial and time losses and may derive in loss of reputation of the air traffic business. On average weather accounts for roughly one-thir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::269f93d93c90161cec1fecded0f869ea
https://doi.org/10.5194/ems2022-122
https://doi.org/10.5194/ems2022-122
Publikováno v:
Atmospheric Chemistry and Physics, Vol 20, Pp 15851-15865 (2020)
The weather regime dependent predictability of precipitation in the convection permitting kilometric scale AROME-EPS is examined for the entire HyMeX SOP1 employing the convective adjustment timescale. This diagnostic quantifies variations in synopti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d7cde71bb01ff7cb3fc53f6d6120251
https://doi.org/10.5194/acp-20-15851-2020
https://doi.org/10.5194/acp-20-15851-2020
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 146:3014-3028
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e86b9285004355e017781ea85ee9b09
https://doi.org/10.1002/qj.3823
https://doi.org/10.1002/qj.3823
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⟩
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
https://hal-meteofrance.archives-ouvertes.fr/meteo-03811214
Publikováno v:
Weather and Forecasting
Weather and Forecasting, 2021, 36 (4), pp. 1329-1342. ⟨10.1175/WAF-D-20-0128.1⟩
Weather and Forecasting, 2021, 36 (4), pp. 1329-1342. ⟨10.1175/WAF-D-20-0128.1⟩
Agriculture is a highly weather-dependent activity, climatic conditions impact both directly crop growth and indirectly diseases and pests developments causing yield losses. Weather forecasts are now a major component of various decision-support syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b7bf3aa0508935f57bea41427c3c6c4
https://hal.inrae.fr/hal-03522417/document
https://hal.inrae.fr/hal-03522417/document