Biblio
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. Foundations of Data Science (FoDS) 2, (2020). Abstract
Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data. Remote Sensing of Environment 242, (2020). Abstract
On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments. Geoscientific Model Development 13, (2020).
Factors affecting extreme rainfall events in the South Pacific. Weather and Climate Extremes (2020).doi:10.1016/j.wace.2020.100262
Oceanic forcing of the global warming slowdown in multi-model simulations. International Journal of Climatology (2020).doi:10.1002/joc.6548
Ocean biogeochemistry in the Norwegian Earth System Model version 2 (NorESM2). Geoscientific Model Development 13, (2020).
Effects of swimming behaviour and oceanography on sea turtle hatchling dispersal at the intersection of two ocean current systems. Ecological Modelling 431, (2020).
Evaluation of Radial Ocean Surface Currents Derived From Sentinel-1 IW Doppler Shift Using Coastal Radar and Lagrangian Surface Drifter Observations. Journal of Geophysical Research (JGR): Space Physics 125:e2019JC015743, (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).
The impact of atmospheric and oceanic circulations on the Greenland Sea iceconcentration. The Cryosphere Discussions (2020).doi:https://doi.org/10.5194/tc-2020-127
Evaluation of Heat and Salt Transports by Mesoscale Eddies in the Lofoten Basin. Russian Journal of Earth Sciences (RJES) 20, (2020).
Statistical analysis of long-lived mesoscale eddies in the Lofoten basin from satellite altimetry. Advances in Space Research (2020).doi:https://doi.org/10.1016/j.asr.2020.05.043
Interaction between mesoscale eddies and the gyre circulation in the Lofoten basin. Journal of Geophysical Research (JGR): Oceans 125.e2020JC016102, (2020).
Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook. Remote Sensing of Environment 246, (2020).
Detection of the Oyashio and Kuroshio fronts under the projected climate change in the 21st century. Progress in Earth and Planetary Science (2020).doi:10.1186/s40645-020-00342-2
Classification of sea ice types in sentinel-1 SAR data using convolutional neural networks. Remote Sensing 12, (2020).
Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model. Climate Dynamics (2020).doi:https://doi.org/10.1007/s00382-020-05196-4
Greenland surface air temperature changes from 1981 to 2019 and implications for ice-sheet melt and mass-balance change. International Journal of Climatology (2020).doi:10.1002/joc.6771
Classification of sea ice types in Sentinel-1 synthetic aperture radar images. The Cryosphere 14, (2020).
The Arctic Surface Climate in CMIP6: Status and Developments since CMIP5. Journal of Climate 33, (2020).
