EO Products / Link to pagePicture Information on ice field compression and divergence
Accumulated divergence-derived lead fractions (LFaccu. div) from 20 to 27 March. The Sentinel-1 image from 27 March is overlaid by advected lead fractions from different time instances. The colors indicate the timing and magnitude of the lead opening. The black arrows show the sea ice velocity of the latest time instance. The black and green circles around the position of R/V Polarstern have a radius of 150 and 50 km, respectively. The non-dashed area in panel (e) indicates where lead fractions from all 7 d are available.
Source: https://tc.copernicus.org/articles/18/1259/2024/tc-18-1259-2024.pdf
Product Description
Description
Product Specifications
Table
Sea ice is susceptible to tension forces and compression occurs when ice is pushed together by converging winds or currents. Sea ice pressure can lead to ship besetting and damages (Lemieux et al., 2020) and poses great risk for navigation. Some of the areas where ice compression occurs can be estimated based on ice deformation indicators based on SAR ice motion, and these indicators are very useful in the validation of ice models trying to forecast ice compression for ice navigation (Karvonen, 2012).
The estimate (and forecast) of compression and divergence of the ice field is currently based on outputs of sea ice forecasting systems. The ‘true’ ice drift, obtained tracking the ice features from a SAR image to another, would be very useful to drive the model outputs, but overlapping SAR images are currently acquired at too long time intervals – several hours in the best case – which does not allow to estimate the drift at high spatial resolution, a necessary condition to estimate convergence and divergence of the drift field.
Product Specifications
BUSINESS PROCESS | SD, IN, SO |
DESCRIPTION | Sea ice compression / divergence estimated by modelled sea ice drift. |
EO INFORMATION OF INTEREST | Sea ice x velocity (SIUV), Sea ice y velocity (SIUV) |
MAIN PROCESS STEPS | Calculation of convergence/divergence of the sea ice drift, geo-spatial data filtering |
INPUT DATA SOURCE | Outputs from the neXtSIM sea ice model |
SPATIAL RESOLUTION AND COVERAGE | Ice drift available on the 3 x 3km grid over the Arctic Ocean, grid of convergence/divergence to be defined |
ACCURACY / CONSTRAINS | Not available |
LIMITATIONS | Limited availability of ground truth. The interpretation of data can indeed be challenging, especially when handled by personnel without extensive experience in the field. |
TEMPORAL RESOLUTION | Hourly |
FREQUENCY UPDATE | Daily (output of the neXtSIM sea ice model) |
DELIVERY / OUTPUT FORMAT | To be defined (raster, shapefiles, NETCDF) |
ACCESSIBILITY | Copernicus marine Service and Artic hub (Ice drift datasets) |
Business Process Challenges
Ship Design (SD) Challenges
Business Process Challenges
Ship Design (SD) Challenges
- SD-1 Environmental Conditions
- SD-2 Defining Ice Class for Vessels
- SD-3 Vessel Concept, dimensions, and design
- SD-4 Material Selection in Ship Design Phase
- SD-5 Deciding design temperature (based on intended operations)
Ship Construction (SC) Challenges
- SC-1 Lifting Operations
- SC-2 Tow Operations
- SC-3 Planning of Sea Trials Outside of Ice Season
- SC-4 Avoiding Ice During Sea Trials
- SC-5 Planning of Sea Ice Trials
- SC-6 Finding Suitable Ice During Sea Trials
- SC-7 Ship Operation in Ice During Sea Trials
Ship Certification (SCE) Challenges
- SCE-1 Defining Operational Limit Temperatures
- SCE-2 Icing Prediction for Vessel Certification
- SCE-3 Risk Assessment for Operations in Ice
- SCE-4 Strategic Planning using Polaris
- SCE-5 Monitoring Ship Icing Conditions During Voyage
- SCE-6 Monitoring Sea Ice Conditions During Voyage
- SCE-7 Defining Design Parameters for Ship Class Rules
- SCE-8 Ship Emission Monitoring
- SCE-9 Ship Monitoring, Location and Operation
- SCE-10 Oil and Substance Spill Monitoring
Insurance (IN) Challenges
- IN-1 Incident Investigation
- IN-2 Understanding the Current and Future Expected Conditions
- IN-3 Ensure compliance of portfolio with Poseidon Principles
- IN-4 Risk evaluating vessels according to POLARIS
Ship Operation (SO) Challenges
- SO-1 Navigating Through Ice
- SO-2 Avoiding Ice Edge
- SO-3 Navigating Along (or just inside) the Ice Edge
- SO-4 Avoiding Ship Icing Conditions
- SO-5 Avoiding Sea Ice
- SO-6 Oil Spill Monitoring
- SO-7 Avoiding Snow Cover on Ice
- SO-8 Strategic Planning
- SO-9 Risk Analysis According to POLARIS
- SO-10 Search & Rescue Operations
- SO-11 Monitoring Vessels Without AIS Transponder
- SO-12 Navigating Waters with Poor Charting
End of Life Vessel Disposal (ELD) Challenges
- ELD-1 Weather condition monitoring
- ELD-2 Environmental impact monitoring of operations impact to local nature
- ELD-3 Authority monitoring of vessels on their way for scrapping