Biblio
Filtre: Første Bokstav I Etternavn er C [Slett Alle Filtre]
Observations of internal waves generated by an anticyclonic eddy: a case study in the ice edge region of the Greenland Sea. Tellus A: Dynamic Meteorology and Oceanography 71, (2019).
Observing sea states. 6:124, (2019).
Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks. Frontiers in Marine Science (2019).doi:10.3389/fmars.2019.00417
Overview of the results of the project ‘Loads on Structure and Waves in Ice’ (LS-WICE). Konferansebidrag Proceedings of the HYDRALAB+ Joint User Meeting, (2019).
Polar Ocean Observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season. Frontiers in Marine Science (2019).doi:10.3389/fmars.2019.00429
Seasonal predictions initialised by assimilating sea surface temperature observations with the EnKF. Climate Dynamics 19, (2019).
SEASTAR: A Mission to Study Ocean Submesoscale Dynamics and Small-Scale Atmosphere-Ocean Processes in Coastal, Shelf and Polar Seas. Frontiers in Marine Science 6, (2019).
SKIM, a Candidate Satellite Mission Exploring Global Ocean Currents and Waves. Frontiers in Marine Science 6, (2019).
Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: a more complete picture of the state of the ocean. Frontiers in Marine Science 6, (2019).
Towards an advanced observation system for the marine Arctic in the framework of the Pan-Eurasian Experiment (PEEX). Atmospheric Chemistry and Physics (ACP) 19, (2019).
Twenty-three unsolved problems in hydrology (UPH) – a community perspective. Hydrological Sciences Journal 64, (2019). Abstract
Wave energy attenuation in fields of colliding ice floes – Part 2: A laboratory case study. The Cryosphere 13, (2019).
Wave energy attenuation in fields of colliding ice floes – Part 2: A laboratory case study. The Cryosphere (2019).doi:10.5194/tc-13-2901-2019
Weakening Atlantic Niño-Pacific connection under greenhouse warming. Indian Journal of Pure & Applied Physics 5:eaax4111, (2019).
Arctic sea-ice loss intensifies aerosol transport to the Tibetan Plateau. Nature Climate Change 10, (2020).
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. Foundations of Data Science (FoDS) 2, (2020). Abstract
The Climate Model: An ARCPATH Tool to Understand and Predict Climate Change. Nordic Perspectives on the Responsible Development of the Arctic: Pathways to Action (2020).doi:10.1007/978-3-030-52324-4_8
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).
