NSCAT Enhanced Resolution Sigma-0 Radar Backscatter Data

1996 to 1997 satellite scatterometer data provides Sigma-0 (radar backscatter) measurements for Earth's surface. The dataset was generated by the Scatterometer Climate Record Pathfinder project at Brigham Young University using a Scatterometer Image Reconstruction technique. It includes both enhanced 4.45 km resolution and standard 22.25 km resolution gridded products.

Use Cases

• Analyze Sigma-0 values to infer surface wind speeds over oceans for climate model validation.
• Study land surface properties and vegetation changes using Sigma-0 and its associated average incidence angle parameter.
• Compare standard deviation and Sigma-0 error statistics across different polarizations (VV, HH) for data quality assessment.
• Reconstruct historical sea ice extent and type using Sigma-0 measurements from polar regions gridded with a polar-stereographic technique.

Strengths

• Offers enhanced resolution data at 4.45 km pixel scale using a specialized Scatterometer Image Reconstruction technique.
• Includes multiple statistical parameters per pixel such as standard deviation, measurement counts, and Sigma-0 error for added guidance.

Limitations

• Temporal coverage is limited to the 1996-1997 NSCAT mission period, providing only a short historical snapshot.
• Sample size and total row count are unknown from the provided metadata.
• The dataset's binary file format (IEEE formatted binary) requires specialized tools or libraries for access and processing.

Provenance

Source

NASA Scatterometer (NSCAT) satellite, processed by the Scatterometer Climate Record Pathfinder project at Brigham Young University.

Collection Method

Data generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long, gridded on equal-area and polar-stereographic projections.

Time Range

1996 to 1997 (NSCAT mission period).

Freshness

Last updated in 1997; this is a historical archive dataset with no ongoing updates.

Geography

Global coverage, with non-polar regions on an equal-area grid and polar regions on a polar-stereographic grid. The regions of China and Japan are combined.