2024
Simon Driscoll, Alberto Carrassi, Julien Brajard, Laurent Bertino, Marc Bocquet, Einar Olason: Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks, Journal of Computational Science, 2024_.
C.Hell, Horvat: A method for constructing directional surface wave spectra from ICESat-2 altimetry, The Cryosphere, 18, 341–361, January 2024.
Brodeau, Rampal, Òlason, Dansereau: Implementation of a brittle sea-ice rheology in an Eulerian, finite-difference, C-grid modeling framework: Impact on the simulated deformation of sea-ice in the Arctic, Geosci. Model Dev. Discuss., January 2024, preprint.
2023
Brenner, Horvat, Hall, Lo Piccolo, Fox-Kemper, Labbé, Dansereau: Scale-Dependent Air-Sea Exchange in the Polar Oceans: Floe-Floe and Floe-Flow Coupling in the Generation of Ice-Ocean Boundary Layer Turbulence, Geophysical Reserch Letters (GRL), December 07, 2023.
Finn, Disson, Farchi, Bocquet, Durand: Representation learning with unconditional denoising diffusion models for dynamical systems, EGUsphere, July 07, 2023, preprint.
Van Katwyk, Fox-Kemper, Seroussi, et al.: A variational LSTM emulator of sea level contribution from the Antarctic ice sheet, ESS Open Archive, July 07, 2023.
Chen, Smith, Carrassi, Pasmans, Bertino, Bocquet, Finn, Rampal, and Dansereau: Multivariate state and parameter estimation with data assimilation on sea-ice models using a Maxwell-Elasto-Brittle rheology, EGUsphere, 2023.
Cheng, Quilodran-Casas, Ouala, Farchi, Liu, Tandeo, Fablet, Lucor, Iooss, Brajard, Xiao, Janjic, Ding, Guo, Carrassi, Bocquet, Arcucci: Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review, accepted for publication on the IEEE/CAA Journal of Automatica Sinica.
Richter, Dansereau, Lessig, Minakowski: A dynamical core based on a discontinuous Galerkin method for higher-order finite-element sea ice modeling, Geosci. Model Dev., 16, 3907–3926, 2023.
Ayers, Lau, Amezcua, Carrassi, Ojha: Supervised machine learning to estimate instabilities in chaotic systems: estimation of local Lyapunov exponents, accepted for publication in Quarterly Journal of the Royal Meteorological Society.
Maisonnave, E.: _NEMO/neXtSIM-DG preliminary coupling interface _, Working Note, WN/CMGC/23/58, CECI, UMR CERFACS/CNRS No5318, France.
Boutin, Ólason, Rampal, Regan, Lique, Talandier, Brodeau, Ricker. Arctic Sea Ice Mass Balance in a New Coupled Ice–Ocean Model Using a Brittle Rheology Framework. The Cryosphere, 17, 617–638, 2023.
Finn, Durand, Farchi, Bocquet, Chen, Carrassi, Dansereau: Deep learning of subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell-Elasto-Brittle rheology., The Cryosphere, 17, 2965–2991, 2023_.
Cheng, Chen, Aydoğdu, Bertino, Carrassi, Rampal, Jones: Novel Arctic sea ice data assimilation combining ensemble Kalman filter with a Lagrangian sea ice model, published in EGUsphere.
Cheng, Quilodra ́n-Casas, Ouala, Farchi, Carrassi, Bocquect et al.: Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review, EEE/CAA JOURNAL OF AUTOMATICA SINICA, June, 2023.
Ayers, Lau, Amezcua, Carrassi, Ojha: Supervised machine learning to estimate instabilities in chaotic systems: Estimation of local Lyapunov exponents, Quarterly Journal of the Royal Meteorological Society, March 2023_.
Ivo Pasmans, Yumeng Chen, Alberto Carrassi, Chris K.R.T. Jones: Tailoring data assimilation to discontinuous Galerkin models, arXiv:2305.02950, 2023.
Durand, Finn, Farchi, Bocquet, andOlason: Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic, The Cryosphere, 17, 2965–2991, 2023.
2022
Ólason, Boutin, Korosov, Rampal, Williams, Kimmritz, Dansereau, Samaké: A New Brittle Rheology and Numerical Framework for Large-Scale Sea-Ice Models. Journal of Advances in Modeling Earth Systems, 2022, 14.
Serripierri, Moreau, Boué, Weiss, Roux: Recovering and monitoring the thickness, density and elastic properties of sea ice from seismic noise recorded in Svalbard. The Cryosphere, 16, 2527–2543, 2022.
Kopp, Oppenheimer, O’Reilly, Drijfhout, Edwards, Fox-Kemper, Garner, Golledge, Hermans, Hewitt, Horton, Krinner, Notz, Nowicki, Palmer, Slangen, and Xiao: Communicating projection uncertainty and ambiguity in sea-level assessment, ESS Open Archive . June 18, 2022.
Boutin, Williams, Horvat, Brodeau: Modelling the Arctic Wave-Affected Marginal Ice Zone: A Comparison with ICESat-2 Observations Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380, 2022.
Horvat: Floes, the Marginal Ice Zone, and Coupled Wave-Sea-Ice Feedbacks. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380, 2022.
Horvat, Seabrook, Cristi, Matthes, Bisson: Evidence of phytoplankton Blooms Under Antarctic Sea Ice. Frontiers in Marine Science, November 17, 2022.
Hell, Horvat: Directional Surface Wave Spectra And Sea Ice Structure from ICEsat-2 Altimetry. EGUsphere, 2022.
Wang, Hwang, Bateson, Aksenov, Horvat: Summer sea ice floe size distribution in the Arctic: High-resolution optical satellite imagery and model evaluation. The Cryosphere Discussions, 2022.
Brouwer, Fraser, Murphy, Wongpan, Alberello, Kohout, Horvat, Wotherspoon Massom, J. Cartwright, G. Williams: Altimetric observation of wave attenuation through the Antarctic marginal ice zone using ICESat-2. The Cryosphere, 16, 2325–2353, 2022.
Eric Maisonnave, Romain Bourdallé-Badie Coupling NEMO global ocean with hemispheric Arctic and Antarctic ice models Technical Report, TR/CMGC/22/18, CECI, UMR CERFACS/CNRS No5318, France.
2021
Olason, Rampal, Dansereau. On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic. The Cryosphere, 15, 1053–1064.
Boutin, Williams, Rampal, Olason, Lique. Wave–sea-ice interactions in a brittle rheological framework. The Cryosphere, 15, 431–457.
Horvat. Wave–sea-ice interactions in a brittle rheological framework. Nature Communications volume 12, Article number: 2221 (2021)
Horvat, Roach. WIFF1.0: A hybrid machine-learning-based parameterization of Wave-Induced sea-ice Floe Fracture. Geoscientific Model Development, 2021
