Biblio
Filters: Author is Einar Olason [Clear All Filters]
Arctic sea ice mass balance in a new coupled ice–ocean model using a brittle rheology framework. The Cryosphere 17, (2023). Abstract
Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories. The Cryosphere 10, (2016). Download: rampal_etal_2016_arctic_sea-ice_diffusion_from_observed_and_simulated_lagrangian_trajectories.pdf (2.12 MB)
The Copernicus Marine Environment Monitoring Service Ocean State Report. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology 9, (2016).
Drivers of variability in Arctic sea-ice drift speed. Journal of Geophysical Research (JGR): Oceans 119, (2014). Abstract
Driving Mechanisms of an Extreme Winter Sea Ice Breakup Event in the Beaufort Sea. Geophysical Research Letters 49, (2022).
A dynamical model of Kara Sea land-fast ice. Journal of Geophysical Research (JGR): Oceans 121, (2016). Abstract
The Future of Sea Ice Modeling: Where Do We Go from Here?. Bulletin of The American Meteorological Society - (BAMS) (2020).doi:10.1175/BAMS-D-20-0073.1
Marginal Ice Zone and Ice-Air-Ocean Interactions. Sea Ice in the Arctic, Past, Present and Future (2020).doi:10.1007/978-3-030-21301-5_3
A new brittle rheology and numerical framework for large-scale sea-ice models. Journal of Advances in Modeling Earth Systems 14, (2022).
neXtSIM: a new Lagrangian sea ice model. The Cryosphere 10, (2016). Download: rampal_etal_2016_nextsim_a_new_lagrangian_sea_ice_model.pdf (6.7 MB)
Parallel implementation of a Lagrangian-based model on an adaptive mesh in C++: Application to sea-ice. Journal of Computational Physics 350, (2017).
Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F. The Cryosphere 15, (2021).
Sea Ice Modelling. ETOOFS Expert team on Operational Ocean Forecasting System - Implementing operational ocean monitoring and forecasting systems. (2022).
Sea ice modelling and forecasting. New Frontiers in Operational Oceanography (2018).
Sea ice rheology experiment (SIREx): 1. Scaling and statistical properties of sea-ice deformation fields. Journal of Geophysical Research (JGR): Oceans 127:e2021JC017667, (2022).
Sea ice rheology experiment (SIREx): 2. Evaluating linear kinematic features in high-resolution sea ice simulations. Journal of Geophysical Research (JGR): Oceans 127:e2021JC017666, (2022).
On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic. The Cryosphere 15, (2021).
