Rossella Arcucci
Rossella Arcucci
Associate Professor (Senior Lecturer), Imperial College London
Verified email at - Homepage
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Cited by
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
Deep data assimilation: integrating deep learning with data assimilation
R Arcucci, J Zhu, S Hu, YK Guo
Applied Sciences 11 (3), 1114, 2021
An overview of methods of fine and ultrafine particle collection for physicochemical characterisation and toxicity assessments
P Kumar, G Kalaiarasan, AE Porter, A Pinna, MM Kłosowski, ...
Science of the total environment 756, 143553, 2021
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
Optimal reduced space for variational data assimilation
R Arcucci, L Mottet, C Pain, YK Guo
Journal of Computational Physics 379, 51-69, 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, 749-761, 2020
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting
S Cheng, IC Prentice, Y Huang, Y Jin, YK Guo, R Arcucci
Journal of Computational Physics 464, 111302, 2022
Data learning: Integrating data assimilation and machine learning
C Buizza, CQ Casas, P Nadler, J Mack, S Marrone, Z Titus, C Le Cornec, ...
Journal of Computational Science 58, 101525, 2022
A reduced order deep data assimilation model
CQ Casas, R Arcucci, P Wu, C Pain, YK Guo
Physica D: Nonlinear Phenomena 412, 132615, 2020
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
A scalable approach for variational data assimilation
L D’Amore, R Arcucci, L Carracciuolo, A Murli
Journal of Scientific Computing 61, 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
Generalised latent assimilation in heterogeneous reduced spaces with machine learning surrogate models
S Cheng, J Chen, C Anastasiou, P Angeli, OK Matar, YK Guo, CC Pain, ...
Journal of Scientific Computing 94 (1), 11, 2023
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
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic
C Quilodrán-Casas, VLS Silva, R Arcucci, CE Heaney, YK Guo, CC Pain
Neurocomputing 470, 11-28, 2022
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
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
S Cheng, C Quilodrán-Casas, S Ouala, A Farchi, C Liu, P Tandeo, ...
IEEE/CAA Journal of Automatica Sinica 10 (6), 1361-1387, 2023
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, 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
Machine learning for earth system observation and prediction
M Bonavita, R Arcucci, A Carrassi, P Dueben, AJ Geer, B Le Saux, ...
Bulletin of the American Meteorological Society 102 (4), E710-E716, 2021
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