Initial Results from SAR-Based Validation of Sea Ice Drift Forecast Models ...

TOPAZ4 and neXtSIM sea ice drift forecast model data, provided in the CMEMS artic analysis and forecast products PHYS_002_001_a and PHY_ICE_002_011, is assessed using Sentinel-1 Synthetic Aperture Radar (SAR) image pairs. This work helps to improve the high-resolution forecast Predictive Ice Image (...

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Bibliographic Details
Main Authors: Bathmann, Martin, Wiehle, Stefan, Frost, Anja, Rabenstein, Lasse, Spreen, Gunnar
Format: Text
Language:unknown
Published: Zenodo 2023
Subjects:
Sea Ice
Forecast Model
Evaluation
Synthetic Aperture Radar
Remote Sensing
Arctic
Lagrangian Tracking
Runge-Kutta
TOPAZ
neXtSIM
Pyramid
Pyramid The
Sea ice
Online Access:https://dx.doi.org/10.5281/zenodo.7993888
https://zenodo.org/record/7993888
Description
Summary:TOPAZ4 and neXtSIM sea ice drift forecast model data, provided in the CMEMS artic analysis and forecast products PHYS_002_001_a and PHY_ICE_002_011, is assessed using Sentinel-1 Synthetic Aperture Radar (SAR) image pairs. This work helps to improve the high-resolution forecast Predictive Ice Image (PRIIMA) (https://business.esa.int/projects/priima) application which generates multi-day forecasted SAR scenes. Results of PRIIMA form the basis for the calculation of possible ship routes in ice-infested waters, which are then made accessible for navigators in near real-time. The true sea ice drift is derived from two successive Sentinel-1 scenes using phase correlation applied in a hierarchical resolution pyramid. The measured ice displacement vectors are compared to predicted drift trajectories derived from multi-day TOPAZ4 and neXtSIM forecasts available at acquisition time of the first SAR scene. Differences in sea ice drift direction and magnitude between models and actual SAR measurements are then analysed ...

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