Rossella Arcucci
Rossella Arcucci
Data Science Institute, Imperial College London
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
A scalable approach for variational data assimilation
L D’Amore, R Arcucci, L Carracciuolo, A Murli
Journal of Scientific Computing 61 (2), 239-257, 2014
On the variational data assimilation problem solving and sensitivity analysis
R Arcucci, L D'Amore, J Pistoia, R Toumi, A Murli
Journal of Computational Physics 335, 311-326, 2017
HPC computation issues of the incremental 3D variational data assimilation scheme in OceanVar software
L D’Amore, R Arcucci, L Marcellino, A Murli
J. Numer. Anal. Ind. Appl. Math 7 (3-4), 91-105, 2012
Natural ventilation in cities: the implications of fluid mechanics
J Song, S Fan, W Lin, L Mottet, H Woodward, M Davies Wykes, R Arcucci, ...
Building Research & Information 46 (8), 809-828, 2018
Optimal reduced space for variational data assimilation
R Arcucci, L Mottet, C Pain, YK Guo
Journal of Computational Physics 379, 51-69, 2019
A decomposition of the tikhonov regularization functional oriented to exploit hybrid multilevel parallelism
R Arcucci, L D’Amore, L Carracciuolo, G Scotti, G Laccetti
International Journal of Parallel Programming 45 (5), 1214-1235, 2017
DD-OceanVar: A domain decomposition fully parallel data assimilation software for the Mediterranean Forecasting System
L D’Amore, R Arcucci, L Carracciuolo, A Murli
Procedia Computer Science 18, 1235-1244, 2013
A scalable numerical algorithm for solving Tikhonov regularization problems
R Arcucci, L D’Amore, S Celestino, G Laccetti, A Murli
Parallel Processing and Applied Mathematics, 45-54, 2016
On the problem-decomposition of scalable 4D-Var data assimilation models
R Arcucci, L D'Amore, L Carracciuolo
2015 International Conference on High Performance Computing & Simulation …, 2015
A Parallel Three‐dimensional Variational Data Assimilation Scheme
L D’Amore, R Arcucci, L Marcellino, A Murli
AIP Conference Proceedings 1389 (1), 1829-1831, 2011
Data-driven reduced order model with temporal convolutional neural network
P Wu, J Sun, X Chang, W Zhang, R Arcucci, Y Guo, CC Pain
Computer Methods in Applied Mechanics and Engineering 360, 112766, 2020
Model error correction in data assimilation by integrating neural networks
J Zhu, S Hu, R Arcucci, C Xu, J Zhu, Y Guo
Big Data Mining and Analytics 2 (2), 83-91, 2019
An epidemiological modelling approach for COVID-19 via data assimilation
P Nadler, S Wang, R Arcucci, X Yang, Y Guo
European journal of epidemiology 35 (8), 749-761, 2020
Effective variational data assimilation in air-pollution prediction
R Arcucci, C Pain, YK Guo
Big Data Mining and Analytics 1 (4), 297-307, 2018
A time-series clustering methodology for knowledge extraction in energy consumption data
LGB Ruiz, MC Pegalajar, R Arcucci, M Molina-Solana
Expert Systems with Applications 160, 113731, 2020
A Reduced Order Deep Data Assimilation model
CQ Casas, R Arcucci, P Wu, C Pain, YK Guo
Physica D: Nonlinear Phenomena 412, 132615, 2020
Enhancing CFD-LES air pollution prediction accuracy using data assimilation
E Aristodemou, R Arcucci, L Mottet, A Robins, C Pain, YK Guo
Building and Environment 165, 106383, 2019
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation
J Mack, R Arcucci, M Molina-Solana, YK Guo
Computer Methods in Applied Mechanics and Engineering 372, 113291, 2020
Parallel parity games: a multicore attractor for the Zielonka recursive algorithm
R Arcucci, U Marotta, A Murano, L Sorrentino
Procedia Computer Science 108, 525-534, 2017
Neural assimilation
R Arcucci, L Moutiq, YK Guo
International Conference on Computational Science, 155-168, 2020
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20