SIREx: Linear Kinematic Features in Sea-Ice Deformation Simulations

1997 and/or 2008 data on Linear Kinematic Features (LKFs) detected and tracked in sea-ice deformation fields simulated by models participating in the Sea Ice Rheology Experiment (SIREx). The dataset was created by Nils Hutter of the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung and serves as the basis for feature-based evaluation in a 2022 Journal of Geophysical Research: Oceans paper.

Use Cases

• Evaluating model performance in simulating sea-ice deformation based on LKF detection and tracking.
• Analyzing the temporal evolution of deformation features based on start/end dates and parent LKF linkages.
• Studying spatial patterns of sea-ice divergence and shear rates based on the stored deformation metrics.
• Comparing LKF characteristics across different sea-ice models participating in an intercomparison project.

Strengths

• Data originates from a formal model intercomparison project (SIREx) under FAMOS, suggesting a structured evaluation context.
• Includes temporal tracking of features with start/end dates and parent-child linkages, enabling analysis of LKF evolution.
• Contains specific deformation metrics per pixel, including divergence rate and shear rate.

Limitations

• Row count and file size are unknown, which may limit suitability assessment for large-scale processing.
• Column-level documentation is absent in the provided metadata; field semantics must be inferred from the referenced paper or notes.

Provenance

Source

Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung

Collection Method

Extracted from sea-ice deformation fields simulated by models in the Sea Ice Rheology Experiment (SIREx).

Time Range

1997 and/or 2008

Geography

Arctic region (implied by sea-ice focus and FAMOS)