Below is the programme for the three days, with links to the presentation slides and posters. If a link is missing, please contact the author.
Day 1: Tuesday March 21st, 2023
| start | stop | mins. | Title | Speaker | Affiliation | Slides |
| 9:00 | 9:30 | 30 | Welcome, Introductions, Practicalities | Thomas Lavergne | Norwegian Meteorological Institute | slides |
| 9:30 | 10:00 | 30 | Towards drift-aware products for sea ice freeboard and thickness, retrieved from satellite altimetry | Robert Ricker | NORCE | slides |
| 10:00 | 10:30 | 30 | Sea ice thickness and volume evolution over the past 30 years | Marion Bocquet | LEGOS | slides |
| 10:30 | 11:00 | 30 | Coffee Break - Posters | |||
| 11:00 | 11:30 | 30 | Year-round satellite sea ice thickness for the Arctic and its potential for seasonal forecasting | Jack Landy | UiT The Arctic University of Norway | slides |
| 11:30 | 12:00 | 30 | Assimilation of ice thickness observations at ECCC | Mark Buehner | Environment and Climate Change Canada | slides |
| 12:00 | 12:30 | 30 | Improving the Met Office’s Forecast Ocean Assimilation Model (FOAM) with the assimilation of satellite-derived sea-ice thickness data from CryoSat-2 and SMOS in the Arctic | Davi Mignac Carneiro | Met Office | slides |
| 12:30 | 13:30 | 60 | Lunch | |||
| 13:30 | 14:00 | 30 | A satellite era reanalysis of the Arctic sea ice cover utilising year-round observations of sea ice thickness | Nicholas Williams | NERSC | slides |
| 14:00 | 14:30 | 30 | Modelling the evolution of Arctic multiyear sea ice over 2000-2018 | Heather Regan | NERSC | slides |
| 14:30 | 15:00 | 30 | Sea ice assimilation within ECMWF’s next generation ocean and sea ice reanalysis, and beyond | Phil Browne | ECMWF | slides |
| 15:00 | 15:30 | 30 | Coffee Break - Posters | |||
| 15:30 | 16:00 | 30 | Assimilation of sea-ice remotely-sensed observations for global ocean analysis/Reanalysis | ANDREA CIPOLLONE | Euro-Mediterranean Center on Climate Change (CMCC) | slides |
| 16:00 | 16:30 | 30 | Deep learning for surrogate modelling of neXtSIM | Charlotte Durand | CEREA, ENPC | slides |
| 16:30 | 17:00 | 30 | Sensitivity Analysis and Machine Learning of a Sea Ice Melt Pond Parametrisation | Simon Driscoll | University of Reading | slides |
| 17:00 | 17:30 | 30 | Fusion of satellite SAR and passive microwave radiometer observations for automatic sea ice mapping using convolutional neural networks | Tore Wulf | DMI | slides |
| 17:45 | 19:45 | 120 | POSTER SESSION 1 - Social Event |
Day 2: Wednesday March 22nd, 2023
| start | stop | mins | Title | Author | Affiliation | Slides |
| 9:00 | 9:30 | 30 | A Sea Ice Age Climate Data Record | Anton Korosov | NERSC | slides |
| 9:30 | 10:00 | 30 | A Climate Record of Wave-Affected Marginal Ice Zone in the Atlantic Arctic based on CryoSat-2 | Shiming Xu | Tsinghua University | |
| 10:00 | 10:30 | 30 | Sea-ice mechanical weakening by ocean currents and winds: Observations and statistics | Sascha Willmes | University Trier | slides |
| 10:30 | 11:00 | 30 | Coffee Break - Posters | |||
| 11:00 | 11:30 | 30 | Advancements in Ice Products from SAR for Analysis and Model Utilization | Sean Helfrich | NOAA | slides |
| 11:30 | 12:00 | 30 | Effects of damage on the scaling laws of viscous-plastic sea ice | Antoine Savard | McGill University | zenodo |
| 12:00 | 12:30 | 30 | A coupled ice-ocean framework to investigate the impact of sea-ice deformation in the winter sea-ice mass balance in the Arctic. | Guillaume Boutin | NERSC | slides |
| 12:30 | 13:30 | 60 | Lunch | |||
| 13:30 | 14:00 | 30 | A new brittle rheology and numerical framework for large-scale sea-ice models | Einar Örn Ólason | NERSC | slides |
| 14:00 | 14:30 | 30 | Sea-ice deformation derived from the RADARSAT Constellation Mission and Sentinel-1 SAR Imagery at 24- and 72-hr intervals from 2017 to 2021 | Amélie Bouchat | McGill University | zenodo |
| 14:30 | 15:00 | 30 | The RADARSAT Constellation Mission data assimilation in ECCC ice prediction system | Alexander Komarov | Environment and Climate Change Canada | slides |
| 15:00 | 15:30 | 30 | Coffee Break - Posters | |||
| 15:30 | 16:00 | 30 | Resolution Enhanced Sea Ice Concentration from Passive Microwave | Jozef Jan Rusin | Norwegian Meteorological Institute | slides |
| 16:00 | 16:30 | 30 | Data assimilation of SIC satellite observations in the Barents Sea region | Marina Duran Moro | Norwegian Meteorological Institute | slides |
| 16:30 | 17:00 | 30 | Impact of coupling complexity within the ECMWF forecast systems | Sarah Keeley | European Centre for Medium-Range Weather Forecasts | slides |
| 17:00 | 19:00 | 120 | POSTER SESSION 2 - Social Event |
Day 3: Thursday March 23rd, 2023
| 9:30 | 10:00 | 30 | Assessment of sea ice simulations in an operational model system for the North and Baltic Sea | XIN LI | German Federal Maritime and Hydrographic Agency (BSH) | slides |
| cancelled | ||||||
| 10:00 | 10:30 | 30 | Progress of the Arctic sea ice forecast at the Danish Meteorological Institute | Till Andreas Soya Rasmussen | DMI | slides |
| 10:30 | 11:00 | 30 | Coffee Break - Posters | |||
| 11:00 | 11:30 | 30 | A multi-model comparison of September Arctic sea ice seasonal prediction skill | Mitch Bushuk | NOAA Geophysical Fluid Dynamics Laboratory | slides |
| 11:30 | 12:00 | 30 | Data Assimilation for Lagrangian Sea Ice Models | Christopher K Jones | RENCI, University of North Carolina | slides |
| 12:00 | 12:30 | 30 | Predicting Lagrangian trajectories for drifting objects in the Marginal Ice Zone | Graig Sutherland | Environment and Climate Change Canada | slides |
| 12:30 | 13:30 | 60 | Lunch | |||
| 13:30 | 14:00 | 30 | Deformation forecasts from the Sea Ice Drift Forecast Experiment (SIDFEx) | Valentin Ludwig | AWI | zenodo |
| 14:00 | 14:30 | 30 | Fully automated navigation support for vessels in the Arctic: An application and validation example of ice type mapping during the CIRFA cruise 2022 | Johannes Lohse | UiT The Arctic University of Norway | zenodo |
| 14:30 | 15:00 | 30 | Pan-Arctic Sea Ice-Atmosphere Drag Coefficients Derived from ICESat-2 Topography Data | Alexander Mchedlishvili | Institute of Environmental Physics, University of Bremen | slides |
| 15:00 | 15:30 | 30 | Coffee Break - Posters | |||
| 15:30 | 16:00 | 30 | High-resolution winter Arctic sea ice profiling with NASA's ICESat-2 | ALEK PETTY | University of Maryland/NASA GSFC | slides |
| 16:00 | 16:30 | 30 | The OceanMAPS v4 sea-ice forecast demonstration project mk 2 | Stewart Allen | Bureau of Meteorology | zenodo |
| 16:30 | 17:00 | 30 | Subseasonal Arctic Sea ice predictions in a UFS-based System | YANYUN LIU | ERT Inc @ NOAA/NCEP/CPC | slides |
Posters
| Poster ID | |||||
|
POSTER SESSION 1 |
p01 | Recent development of the Combined Optimal Interpolation and Nudging method in assimilating the AMSR2 sea ice concentration (SIC) in SHAPS | Keguang Wang | Norwegian Meteorological Institute | zenodo |
| p02 | Observation impact on the multi-variate state and parameter estimation of Maxwell-Elasto-Brittle rheology model | Yumeng Chen | University of Reading | ||
| p03 | Assimilating observations of deformation to improve short-term ensemble forecasts of sea ice features | Yue Ying | NERSC | ||
| p04 | Insights of the coupling between sea ice and atmosphere by assimilation of sea ice thickness from CS2SMOS | Jiping Xie | NERSC | ||
| p05 | NorCPM’s new seasonal prediction skill in regional Arctic sea ice | Yiguo Wang | NERSC | zenodo | |
| p06 | Improve short-term sea ice predictability using deformation observations | Anton Korosov | NERSC | ||
| p07 | Improving sea-ice representation through data assimilation in a global NEMO model | Aliette Chenal | Mercator Ocean | ||
| p08 | Reconstruction of Arctic sea ice thickness (2000-2010) based on a hybrid machine learning and data assimilation approach | Léo Edel | NERSC | ||
| p09 | Collecting ground truth observations of the Marginal Ice Zone: recent deployments, data use, and outstanding questions | Jean Rabault | Norwegian Meteorological Institute | ||
| p10 | Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC | Robert Ricker | NORCE | ||
| p11 | Quantifying the effect of snow-ice formation on SnowModel-LG product that is used in sea ice altimetry applications | Ioanna Merkouriadi | FMI | ||
| p12 | Machine Learning for Sea Ice Challenge (AutoICE) | David Arthurs | PolarView | ||
| p13 | Extension of CCI sea ice climate time series with historical satellite data | Wiebke Margitta Kolbe | DTU | ||
| p14 | Sea ice thickness from CryoSat2 freeboard assimilation | Imke Sievers | DMI | ||
| p15 | Combining automated sea-ice and iceberg observations | Jørgen Buus-Hinkler | DMI | ||
| p16 | Synoptic variability in satellite radar altimeter-derived sea ice thickness | Carmen Nab | University College London | ||
| p17 | Incorporating sea ice into a nearshore wind wave transformation model (Hornsund, Svalbard) | Zuzanna Swirad | Department of Polar and Marine Research | figshare | |
| p18 | Moving the dominant scattering horizon in the Met Office's Forecast Ocean Assimilation Model (FOAM) | Carmen Nab | University College London | ||
| p19 | In-situ sea ice, iceberg and ocean drift observations in the Greenland Sea | Catherine Taelman | UiT The Arctic University of Norway | zenodo | |
| p20 | Exploring Arctic Sea Ice Thickness Retrievals from Satellite Altimeters | Amy Swiggs | University of Leeds | ||
| p21 | Methodology for prediction of ice conditions based on SAR images and sea ice drift | Anna Telegina | UiT The Arctic University of Norway | ||
| p22 | Measuring uncertainty in sea ice edge across different observational datasets | Bimochan Niraula | AWI | ||
| p23 | Inter-analyst comparison of ice chart ice edges | Matilde Brandt Kreiner | DMI | figshare | |
| p24 | Sea Ice in a Climate Perspective and Monitored with Satellites | Signe Aaboe | Norwegian Meteorological Institute | ResearchGate | |
| p25 | Patterns and mechanisms of low-frequency Arctic sea ice variability | Jakob Dörr | University of Bergen | ||
| p26 | Sea ice thickness estimation based on X-band HH-polarized SAR imagery and background information | Juha Karvonen | FMI | ||
|
POSTER SESSION 2 |
p27 | Rapid Ice Loss Events in the Arctic | Massonnet François | UCLouvain | |
| p28 | Melt ponds representation in Arctic and their influences on Arctic sea ice | Caixin Wang | Norwegian Meteorological Institute | ||
| p29 | Wave impact on sea ice dynamics in the marginal ice zone using a coupled wave—sea-ice model | Guillaume Boutin | NERSC | ||
| p30 | Deep learning of subgrid-scale parametrisations for sea-ice models | Tobias Finn | ENPC | zenodo | |
| p31 | The sea-ice dynamics simulated by the Viscous-Plastic and Maxwell Elasto-Brittle models | Mathieu Plante | Environment and Climate Change Canada | ||
| p32 | Implementation of form drag scheme into NEMO sea ice model SI3 | David Schroeder | University of Reading | ||
| p33 | Assessment of SMRT simulated microwave brightness temperatures over snow and sea ice in Arctic regions | Suman Singha | DMI | ||
| p34 | Antarctic sea ice concentration and area patterns in CMIP5 and CMIP6 | Ronald B. Souza | INPE | ||
| p35 | Ice-Free conditions and Polar Amplification under Paris Agreement thresholds using Climate Models | Fernanda Casagrande | INPE | ||
| p36 | On the impact of sea ice forcing from CFOSAT on wave forecast in polar oceans | Aouf Lotfi | Meteo France | ||
| p37 | SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP | Xia Lin | UCLouvain | zenodo | |
| p38 | Initial Results from SAR-Based Validation of Sea Ice Drift Forecast Models | Martin Bathmann | DLR | ||
| p39 | Intrinsic and practical predictability of sea ice kinematic features estimated from neXtSIM ensemble forecasts | Stephanie Leroux | IGE | ||
| p40 | Navy ESPC Sea Ice Assimilation: Present Capabilities and Planned Enhancements | Richard Allard | NRL | ||
| p41 | The COSI (Calibration of Sea-Ice forecasts) project | Cyril Palerme | Norwegian Meteorological Institute | ||
| p42 | Developing a deep learning forecasting system for short term and high resolution prediction of sea ice concentration | Are Frode Kvanum | Norwegian Meteorological Institute | ||
| p43 | Sub-daily Antarctic sea-ice variability estimates using swath-based retrieval methods | Wayne de Jager | University of Cape Town | ||
| p44 | Seasonal prediction of NorCPM in the regional Antarctic sea ice | Xiu YW | Sun Yat-sen University | ||
| p45 | Polarimetric decomposition for an unsupervised ice separation approach using the CFAR method | Muhammad Amjad Iqbal | University POLITEHNICA of Bucharest | zenodo | |
| p46 | Evaluating the sea ice concentration retrievals considering different radiative transfer schemes for correcting the brightness temperatures from atmospheric contribution | Fabrizio Baordo | DMI | ||
| p47 | Investigating the use of Convolutional Neural Networks for Automatic Sea Ice Concentration at MET-Norway | Frode Dinessen | Norwegian Meteorological Institute |