ACE Expedition Air-Flow Distortion Bias Factors for Ship Anemometers, 2016/2017

The austral summer of 2016/2017 saw the Antarctic Circumnavigation Expedition (ACE) legs 0-4. This dataset contains estimated air-flow distortion bias factors for the port and starboard anemometers aboard the Akademik Tryoshnikov research vessel. The data, provided by Sebastian Landwehr of École Polytechnique Fédérale de Lausanne, is intended to correct observed wind speeds on a sample-by-sample basis.

Use Cases

• Calibrating ship-based anemometer readings based on relative wind direction sectors.
• Correcting wind speed observations for flow distortion effects on a per-sample basis.
• Modeling airflow patterns around research vessel superstructures based on bias factor data.
• Improving the accuracy of meteorological data collected during polar expeditions.

Strengths

• Data is tied to a specific, documented scientific expedition (ACE legs 0-4).
• Bias factors are provided over detailed, overlapping wind direction sectors (5/10-degree width, stepped by 1/2 degrees).
• Dataset is published with a reference to a peer-reviewed methodology paper (Landwehr et al., 2019).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and overall dataset scale are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

École Polytechnique Fédérale de Lausanne (EPFL), Sebastian Landwehr.

Collection Method

Estimated from measurements taken during the Antarctic Circumnavigation Expedition (ACE).

Time Range

Austral summer of 2016/2017.

Freshness

Data is from the 2016/2017 expedition; last update status is unknown.

Geography

Southern Ocean/Antarctic region, from the Akademik Tryoshnikov research vessel.