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Julie Bessac
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Computing just what you need: Online data analysis and reduction at extreme scales
I Foster, M Ainsworth, B Allen, J Bessac, F Cappello, JY Choi, ...
Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017
832017
Non-homogeneous hidden Markov-switching models for wind time series
P Ailliot, J Bessac, V Monbet, F Pene
Journal of Statistical Planning and Inference 160, 75-88, 2015
462015
Comparison of hidden and observed regime-switching autoregressive models for (u, v)-components of wind fields in the Northeast Atlantic
J Bessac, P Ailliot, J Cattiaux, V Monbet
Advances in Statistical Climatology, Meteorology and Oceanography 2 (1), 1--16, 2016
222016
Stochastic parameterization of subgrid-scale velocity enhancement of sea surface fluxes
J Bessac, AH Monahan, HM Christensen, N Weitzel
Monthly Weather Review 147 (5), 1447-1469, 2019
202019
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors
K Zhao, S Di, X Liang, S Li, D Tao, J Bessac, Z Chen, F Cappello
182020
Online data analysis and reduction: An important co-design motif for extreme-scale computers
I Foster, M Ainsworth, J Bessac, F Cappello, J Choi, S Di, Z Di, AM Gok, ...
The International Journal of High Performance Computing Applications 35 (6 …, 2021
132021
Stochastic simulation of predictive space–time scenarios of wind speed using observations and physical model outputs
J Bessac, E Constantinescu, M Anitescu
The Annals of Applied Statistics 12 (1), 432-458, 2018
132018
Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE
J Rudi, J Bessac, A Lenzi
MSML21: Mathematical and Scientific Machine Learning 145, 1--28, 2021
122021
Gaussian linear state‐space model for wind fields in the North‐East Atlantic
J Bessac, P Ailliot, V Monbet
Environmetrics 26 (1), 29-38, 2015
122015
Neural Networks for Parameter Estimation in Intractable Models
A Lenzi, J Bessac, J Rudi, ML Stein
arXiv preprint arXiv:2107.14346, 2021
72021
Scale‐aware space‐time stochastic parameterization of subgrid‐scale velocity enhancement of sea surface fluxes
J Bessac, HM Christensen, K Endo, AH Monahan, N Weitzel
Journal of Advances in Modeling Earth Systems 13 (4), 2021
62021
Forecast score distributions with imperfect observations
J Bessac, P Naveau
Advances in Statistical Climatology, Meteorology and Oceanography 7 (2), 53--71, 2021
62021
Forecast evaluation with imperfect observations and imperfect models
P Naveau, J Bessac
arXiv e-prints, arXiv: 1806.03745, 2018
62018
Statistical Treatment of Inverse Problems Constrained by Differential Equations-Based Models with Stochastic Terms
EM Constantinescu, N Petra, J Bessac, CG Petra
SIAM/ASA Journal on Uncertainty Quantification 8 (1), 170-197, 2020
52020
Global sensitivity analysis for statistical model parameters
JL Hart, J Bessac, EM Constantinescu
SIAM/ASA Journal on Uncertainty Quantification 7 (1), 67-92, 2019
52019
Internal variability of a dynamically downscaled climate over North America
J Wang, J Bessac, R Kotamarthi, E Constantinescu, B Drewniak
Climate Dynamics 50 (11), 4539-4559, 2018
52018
Nonstationary seasonal model for daily mean temperature distribution bridging bulk and tails
M Krock, J Bessac, ML Stein, AH Monahan
Weather and Climate Extremes 36, 100438, 2022
32022
Power grid frequency prediction using spatiotemporal modeling
A Lenzi, J Bessac, M Anitescu
Statistical Analysis and Data Mining: The ASA Data Science Journal 14 (6 …, 2021
32021
Characterization of Extremes and Compound Impacts: Applications of Machine Learning and Interpretable Neural Networks
Y Feng, R Maulik, J Wang, P Balaprakash, W Huang, V Rao, P Xue, ...
Artificial Intelligence for Earth System Predictability (AI4ESP …, 2021
22021
Image segmentation for dust detection using semi-supervised machine learning
M Yu, J Bessac, L Xu, A Gangopadhyay, Y Shi, J Wang
IEEE Big Data 2020, 2020
22020
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Articles 1–20