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Updated: Aug 5, 2025
09:55
Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
Published on: December 12, 2013
8.7K
High-resolution calibrated and validated Synthetic Aperture Radar Ocean surface wind data around Australia
Salman Khan1, Ian Young2, Agustinus Ribal2,3
1Commonwealth Scientific and Industrial Research Organisation, Environment Business Unit, Aspendale, Victoria, Australia. salmansaeed.khan@csiro.au.
Scientific Data
|March 24, 2023
Summary
This study presents a 4-year dataset of Australian coastal winds derived from Sentinel-1 Synthetic Aperture Radar (SAR) data. The validated wind data offers valuable insights for marine industries and coastal management.
Area of Science:
- Oceanography
- Remote Sensing
- Meteorology
Background:
- Ocean surface wind data is crucial for marine industries and coastal management.
- Satellite remote sensing offers a valuable tool for monitoring oceanographic conditions.
Purpose of the Study:
- To generate and validate a high-resolution dataset of ocean surface wind speed and direction around Australia.
- To provide a reliable data source for various marine applications.
Main Methods:
- Utilized Sentinel-1 A and B Synthetic Aperture Radar (SAR) data from 2017-2021.
- Applied a consistent SAR wind retrieval algorithm to derive wind fields at 1km resolution.
- Calibrated and validated data against Metop-A/B Scatterometer and Altimeter wind measurements.
Main Results:
- Generated a 4-year dataset of ocean surface winds (speed and direction) at 10m height.
- Data quality controlled, flagged, and archived in NetCDF format.
- Validated against independent scatterometer and altimeter data, showing good agreement.
Conclusions:
- The Sentinel-1 derived wind dataset provides a valuable resource for Australian coastal areas.
- The data supports applications in offshore industries, recreation, and coastal ecosystem management.
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