Zobrazeno 1 - 10
of 1 286
pro vyhledávání: '"A. Bouallègue"'
Autor:
Lang, Simon, Alexe, Mihai, Clare, Mariana C. A., Roberts, Christopher, Adewoyin, Rilwan, Bouallègue, Zied Ben, Chantry, Matthew, Dramsch, Jesper, Dueben, Peter D., Hahner, Sara, Maciel, Pedro, Prieto-Nemesio, Ana, O'Brien, Cathal, Pinault, Florian, Polster, Jan, Raoult, Baudouin, Tietsche, Steffen, Leutbecher, Martin
Over the last three decades, ensemble forecasts have become an integral part of forecasting the weather. They provide users with more complete information than single forecasts as they permit to estimate the probability of weather events by represent
Externí odkaz:
http://arxiv.org/abs/2412.15832
Autor:
Lang, Simon, Alexe, Mihai, Chantry, Matthew, Dramsch, Jesper, Pinault, Florian, Raoult, Baudouin, Clare, Mariana C. A., Lessig, Christian, Maier-Gerber, Michael, Magnusson, Linus, Bouallègue, Zied Ben, Nemesio, Ana Prieto, Dueben, Peter D., Brown, Andrew, Pappenberger, Florian, Rabier, Florence
Machine learning-based weather forecasting models have quickly emerged as a promising methodology for accurate medium-range global weather forecasting. Here, we introduce the Artificial Intelligence Forecasting System (AIFS), a data driven forecast m
Externí odkaz:
http://arxiv.org/abs/2406.01465
Artificial intelligence (AI), based on deep-learning algorithm using high-quality reanalysis datasets, is showing enormous potential for weather forecasting. In this context, the European Centre for Medium-Range Weather Forecasts (ECMWF) is developin
Externí odkaz:
http://arxiv.org/abs/2405.02679
Autor:
Ben-Bouallegue, Zied
A new index for high-impact weather forecasting is introduced and assessed in comparison with the well-established extreme forecast index (EFI). Two other ensemble summary statistics are also included in this comparison study: the shift-of-tail and a
Externí odkaz:
http://arxiv.org/abs/2312.01673
Autor:
Ouahidi, Yassine El, Gripon, Vincent, Pasdeloup, Bastien, Bouallegue, Ghaith, Farrugia, Nicolas, Lioi, Giulia
We propose EEG-SimpleConv, a straightforward 1D convolutional neural network for Motor Imagery decoding in BCI. Our main motivation is to propose a simple and performing baseline to compare to, using only very standard ingredients from the literature
Externí odkaz:
http://arxiv.org/abs/2309.07159
Autor:
Rasp, Stephan, Hoyer, Stephan, Merose, Alexander, Langmore, Ian, Battaglia, Peter, Russel, Tyler, Sanchez-Gonzalez, Alvaro, Yang, Vivian, Carver, Rob, Agrawal, Shreya, Chantry, Matthew, Bouallegue, Zied Ben, Dueben, Peter, Bromberg, Carla, Sisk, Jared, Barrington, Luke, Bell, Aaron, Sha, Fei
WeatherBench 2 is an update to the global, medium-range (1-14 day) weather forecasting benchmark proposed by Rasp et al. (2020), designed with the aim to accelerate progress in data-driven weather modeling. WeatherBench 2 consists of an open-source e
Externí odkaz:
http://arxiv.org/abs/2308.15560
Autor:
Ben-Bouallegue, Zied, Clare, Mariana C A, Magnusson, Linus, Gascon, Estibaliz, Maier-Gerber, Michael, Janousek, Martin, Rodwell, Mark, Pinault, Florian, Dramsch, Jesper S, Lang, Simon T K, Raoult, Baudouin, Rabier, Florence, Chevallier, Matthieu, Sandu, Irina, Dueben, Peter, Chantry, Matthew, Pappenberger, Florian
Data-driven modeling based on machine learning (ML) is showing enormous potential for weather forecasting. Rapid progress has been made with impressive results for some applications. The uptake of ML methods could be a game-changer for the incrementa
Externí odkaz:
http://arxiv.org/abs/2307.10128
Autor:
Ben-Bouallegue, Zied, Weyn, Jonathan A, Clare, Mariana C A, Dramsch, Jesper, Dueben, Peter, Chantry, Matthew
Statistical post-processing of global ensemble weather forecasts is revisited by leveraging recent developments in machine learning. Verification of past forecasts is exploited to learn systematic deficiencies of numerical weather predictions in orde
Externí odkaz:
http://arxiv.org/abs/2303.17195
Autor:
Abd El-Mottaleb, Somia A. a, Singh, Mehtab b, Atieh, Ahmad c, Ahmed, Hassan Yousif d, Zeghid, Medien d, e, Nisar, Kottakkaran Sooppy f, g, ⁎, Bouallegue, Belgacem h
Publikováno v:
In Results in Engineering December 2024 24
Autor:
Zhichu, Chen, Koondhar, Mohsin Ali, Kaloi, Ghulam Sarwar, Yousaf, Muhammad Zain, Ali, Aamir, Alaas, Zuhair Muhammed, Bouallegue, Belgacem, Ahmed, Abdelmoty M., Ahmed Elshrief, Yasser
Publikováno v:
In Computers and Electrical Engineering December 2024 120 Part B