IICWG - DA - 12 Workshop 2024
05 - 07 November 2024 | ESA - ESRIN | Frascati, (Rome) Italy
Poster List
The poster session will take place as scheduled on Tuesday, November 05 and Wednesday, November 06.
Posters will be displayed during all the event in Big Hall.
Presenters at the poster sessions shall bring their own printed posters. It will not be possible to print a poster on site.
The poster size is AO Portrait orientation.
| IICWG-DA-12 Workshop 2024 | |
| Poster List | |
| 1 | Comparative impact of Arctic and Antarctic sea ice melt on Indian summer monsoon Varunesh Chandra (Indian Institute Of Technology Delhi) |
| 2 | Multisensor data fusion of operational sea ice observations Keguang Wang, Norwegian Meteorological Institute |
| 3 | Towards ensemble-based Data Assimilation on a discontinuous Galerkin (DG) sea ice model with solid-like rheology Francesca Vittorioso, Unibo |
| 4 | Improving short-term sea ice concentration forecasts using deep learning Cyril Palerme, Norwegian Meteorological Institute |
| 5 | Retrieving compressive sea ice strength in the Beaufort Sea using the inverse visco-plastic model Gleb Panteleev, Naval Research Laboratory |
| 6 | Impact of ocean, sea ice or atmosphere initialization on seasonal prediction of regional Antarctic sea ice in NorCPM Yongwu Xiu, Sun Yat-sen University & Nansen Center |
| 7 | The impact of the sea-ice thickness assimilation on the short-range forecasts of the Met Office’s coupled NWP system Davi Mignac, UK Met Office |
| 8 | Sea-ice lead dynamics in the Arctic Ocean and associated drivers. Sascha Willmes, Trier University |
| 9 | Sea Ice Surface Temperature Retrieval Algorithm Development for CIMR: Plan and Status Hoyeon Shi, Danish Meteorological Institute |
| 10 | Impact of the sea ice shear and divergence on the sea ice thickness distribution: observations and modeling study Oceana Francis, University Of Hawaii |
| 11 | Toward automated mapping of Antarctic landfast sea ice using Sentinel-1 SAR Alexander Fraser, University Of Tasmania |
| 12 | Parameterizing a granular rheology for the marginal ice zone Vincent Denarié, ISMER - UQAR |
| 13 | Radar altimeter backscatter modeling for reducing uncertainties in sea ice thickness estimation Rasmus Tonboe, Denmark's Technical University |
| 14 | On sea ice emission modeling for MOSAiC’s L-band radiometric measurements Ferran Hernández-Macià, Institute of Marine Sciences (ICM-CSIC) & isardSAT |
| 15 | The Level-2 Product Algorithm Development (L2PAD) project : preparing open-source algorithms and software for the Copernicus Imaging Microwave Radiometer (CIMR) mission Thomas Lavergne, Norwegian Meteorological Institute |
| 16 | Super-resolution of satellite observations of sea ice thickness using diffusion models and physical modeling. Julien Brajard, Nersc |
| 17 | OSI SAF Near-Real-Time Sea Ice Concentration products for Data Assimilation Suman Singha, Danish Meteorological Institute (DMI) |
| 18 | “Ice-Track”: Providing High-Resolution Sea Ice Type Forecast for Route Optimization Martin Bathmann, German Aerospace Center (DLR) |
| 19 | Improving Seasonal Arctic Sea Ice Predictions with the Combination of Machine Learning and Earth System Model Yiguo Wang, Nansen Environmental and Remote Sensing Center |
| 20 | Analysis of Sea Ice Cover in Edisto Inlet (Antarctica) Exploiting Passive Microwave Radiometer SSMI Muhammad Amjad Iqbal, Università Degli Studi Di Napoli Parthenope |
| 21 | Investigating the impacts of coupling a sea ice model to an atmospheric boundary layer model Heather Regan, Nersc |
| 22 | Data-driven sea-ice modelling with generative deep learning Tobias Finn, CEREA, ENPC |
| 23 | A Ship-Borne Autonomous Camera System for Collecting Ocean and Sea Ice Surface Observation Data Ippolita Tersigni, The University of Melburne |
| 24 | Melt Pond Scheme Parameter Estimation Using an Adjoint Model Yang Lu, NUIST |
| 25 | Sea Ice Thickness Simulation During the MOSAiC Observation Period Xiaochun Wang, Nanjing University Of Information Science And Technology |
| 26 | Advancements in developing a seasonal to interannual prediction tool of Arctic sea ice state. Alison Delhasse, UCLouvain |
| 27 | Adjoint Model Development of Some Thermodynamic Schemes in CICE6 Yang Lu, NUIST |
| 28 | 20+ years of daily Arctic Summer Sea Ice Cover Parameters from Terra MODIS Stefan Kern, Earth and Society Research Hub, University of Hamburg |
| 29 | 30 years of sea ice thickness and volume over Arctic and Antarctic from satellite altimetry Sara Fleury, Legos/cnrs |
| 30 | A multi-parameter sea ice, ocean, and atmosphere retrieval for satellite microwave radiometers: a comparison of two approaches Marcus Huntemann, Uni Bremen |
| 31 | The Svalbard Marginal Ice Zone Campaign 2024 -A network of wave-in-ice, sea-ice drift, and temperature observations Malte Müller, Norwegian Meteorological Institute |
| 32 | Surrogate modelling of sea ice dynamics using Graph Neural Networks Francisco Amor Roldan, Norwegian University of Science and Technology |
| 33 | A global multi-source sea ice concentration composite Ida Olsen, Danish Meteorological Institute |
| 34 | Retrieval of sea ice type from RCM and assimilation in ECCC ice type analysis system Alexander Komarov, |
| 35 | Transformer Neural Networks for Sea Ice Segmentation of Sentinel-1 GRD Images Andrei Anghel, Politehnica Bucharest |
| 36 | A multi-decadal SAR analysis of sea ice types in the Atlantic sector of the Arctic Ocean Wenkai Guo, Uit The Arctic University Of Norway |
| 37 | Relationship of radar altimeter data and traditional ice charts Eero Rinne, University Centre In Svalbard Unis |
| 38 | The effect of snowpack development on radar altimeter waveforms over landfast sea ice around Svalbard Sacha van der Vleuten, The University Centre In Svalbard, Vrije Universiteit Amsterdam |
| 39 | Automated Sentinel-1 sea ice mapping at CIRFA: Integration of different algorithms and near real-time distribution of sea ice maps Johannes Lohse, Uit The Arctic University Of Norway |
| 40 | Multi-temporal X-band SAR imagery for improved sea ice characterization Juha Karvonen, Finnish Meteorological Institute |
| 41 | A new mission concept for improved retrievals of sea ice parameters: CryoRad a low frequency wideband radiometer Laurent Bertino, Nersc |
| 42 | Using historical satellite data to extend sea ice CDRs backwards in time Wiebke Margitta Kolbe, DMI / DTU Space |
| 43 | A bilateral Collaboration between Norway and China about Air–Snow–Ice–Ocean Interactions Transforming Atlantic Arctic Climate (INTERAAC) Sebastian Gerland, Norwegian Polar Institute |
| 44 | Cerulean Information Factory David Arthurs, Polar View |
| 45 | Destination Earth Sea Ice Decision Enhancement (DESIDE) David Arthurs, Polar View |
| 46 | Developing of RIO: Creating a Risk Assessment Dataset for Polar Navigation Magnus Suhr, Danish Meteorological Institute |
| 47 | On the impact of wave-ice interactions in polar oceans Lotfi Aouf, Meteo-France |
| 48 | Sea Ice Concentration Retrievals using Sentinel-3's MWR Connor Nelson, University College London |
| 49 | Towards daily sea ice, snow and sea level maps in the Arctic and Antarctic: lessons learned from several ESA projects Michel Tsamados, University College London |
| 50 | Multifrequency (Ku--, C and L band) microwave backscatter from thinly snow covered young sea ice John Yackel, University Of Calgary |
| 51 | Real-time Drift Correction for Efficient SatelliteNavigation Onboard the Polarstern Jonathan Bahlmann, Drift Noise Polar Services |
| 52 | Arctic sea ice observations from satellite synthetic aperture radar and microwave radiometer data Matilde Brandt Kreiner, Danish Meteorological Institute |