Biblio
Filtre: Forfatter er Laurent Bertino [Slett Alle Filtre]
Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps. Frontiers in Remote Sensing 4, (2023).
Biogeochemical Modelling. ETOOFS Expert team on Operational Ocean Forecasting System - Implementing operational ocean monitoring and forecasting systems. (2022).
Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system. Environmental Research Letters 209, (2022).
An evaluation of the performance of sea ice thickness forecasts to support arctic marine transport. Journal of Marine Science and Engineering 10, (2022).
Safer Operations in Changing Ice-Covered Seas: Approaches and Perspectives. IUTAM Symposium on Physics and Mechanics of Sea Ice (2022).doi:10.1007/978-3-030-80439-8_12
Sea Ice Modelling. ETOOFS Expert team on Operational Ocean Forecasting System - Implementing operational ocean monitoring and forecasting systems. (2022).
Section 4.2. Oceanic response to the 2020 Siberian heatwave In: Copernicus Ocean State Report, issue 6. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology 15, (2022).
The Arctic marine forecasting center in the first Copernicus period. Proceedings of the 9th EuroGoos International Conference "Advances in Operational Oceanography": Expanding Europe's Observing and Forecasting Capacity (2021).doi:10.13155/83160
Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration. The Cryosphere 15, (2021).
Combining data assimilation and machine learning to infer unresolved scale parametrization. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, (2021). Abstract
The relationship between the eddy-driven jet stream and northern European sea level variability. Tellus A: Dynamic Meteorology and Oceanography 73, (2021).
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. Foundations of Data Science (FoDS) 2, (2020). Abstract
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. Journal of Computational Science 44, (2020).
Copernicus Marine Service Ocean State Report, issue 4. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology 13, (2020).
Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography. Remote Sensing of Environment 239, (2020). Abstract
Impact of assimilating altimeter data on eddy characteristics in the South China Sea. Ocean Modelling 155, (2020).
The impact of atmospheric and oceanic circulations on the Greenland Sea iceconcentration. The Cryosphere Discussions (2020).doi:10.5194/tc-2020-127
Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system. Sea Ice in the Arctic, Past, Present and Future (2020).doi:10.1007/978-3-030-21301-5_9
Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion. Oceans (2020).doi:10.3390/oceans1040022
