Biblio
Filtre: Første Bokstav I Etternavn er C [Slett Alle Filtre]
The Arctic in the 21st century: Changing biogeochemical linkages across a paraglacial landscape of Greenland. BioScience (2016).doi:10.1093/biosci/biw158
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
Arctic sea-ice loss intensifies aerosol transport to the Tibetan Plateau. Nature Climate Change 10, (2020).
The Arctic Summer Cloud-Ocean Study (ASCOS): Overview and experimental design. Atmospheric Chemistry and Physics/ Ocean Science (2014). Abstract
ASAR imaging for coastal upwelling in the Baltic Sea. Advances in Space Research 50, (2012). Abstract
ASAR surface velocity retrievals in the Northeast Atlantic. ESA Living Planet Symposium (2010).på <http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html> Abstract
Last ned: ASAR SURFACE VELOCITY RETRIEVALS IN THE NORTHEAST ATLANTIC.pdf (1.93 MB)
Assessing the influence of sea surface temperature and arctic sea ice cover on the uncertainty in the boreal winter future climate projections. Climate Dynamics (2022).doi:10.1007/s00382-022-06136-0
An assessment of ten ocean reanalyses in the polar regions. Climate Dynamics (2018).doi:10.1007/s00382-018-4242-z
An assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transports. Ocean Modelling 99, (2016).
Assimilating along-track SLA data using the EnOI in an eddy resolving model of the Agulhas system. Ocean Dynamics 64, (2014).
Assimilation of ground versus lidar observations for PM$_{10}$ forecasting. Atmospheric Chemistry and Physics 13, 269–283 (2013).
Assimilation of lidar signals: Application to aerosol forecasting in the western Mediterranean basin. Atmospheric Chemistry and Physics (ACP) 14, (2014).
Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus. Series A, Dynamic meteorology and oceanography 72, (2019). Abstract
Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error. SIAM/ASA Journal on Uncertainty Quantification (JUQ) 6, (2018).
Automated High Resolution Wind Field Retrievals Off The Norwegian Coast By Combined Use Of Envisat ASAR And Numerical Model. Envisat Symposium 2007 (2007).
Automated Sea Ice Prediction Systems. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).doi:10.1017/9781108417426
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. Foundations of Data Science (FoDS) 2, (2020). Abstract
Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system. The Cryosphere 10, (2016).