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A simple automatic multipolarization technique for discrimination of main types of thin oil films (of thickness less than the radio wave skin depth) from natural ones is proposed. It is based on a new multipolarization parameter related to the ratio between the damping in the slick of specially normalized resonant and nonresonant signals calculated using the normalized radar cross‐section model proposed by Kudryavtsev et al. (2003a). The technique is tested on RADARSAT‐2 copolarization (VV/HH) synthetic aperture radar images of slicks of a priori known provenance (mineral oils, e.g., emulsion and crude oil, and plant oil served to model a natural slick) released during annual oil‐on‐water exercises in the North Sea in 2011 and 2012. It has been shown that the suggested multipolarization parameter gives new capabilities in interpreting slicks visible on synthetic aperture radar images while allowing discrimination between mineral oil and plant oil slicks.

Bora events over the Adriatic Sea and Black Sea are investigated by using synthetic aperture radar (SAR) images acquired by the advanced SAR (ASAR) on board the European satellite Envisat. It is shown that the sea surface roughness patterns associated with bora events, which are captured by SAR, yield information on the finescale structure of the bora wind field that cannot be obtained by other spaceborne instruments. In particular, SAR is capable of resolving 1) bora-induced wind jets and wakes that are organized in bands normal to the coastline, 2) atmospheric gravity waves, and 3) boundaries between the bora wind fields and ambient wind fields. Quantitative information on the sea surface wind field is extracted from the Envisat ASAR images by inferring the wind direction from wind-induced streaks visible on SAR images and by using the C-band wind scatterometer model CMOD_IFR2 to convert normalized cross sections into wind speeds. It is argued that spaceborne SAR images acquired over the east coasts of the Adriatic Sea and the Black Sea are ideal means to validate and improve mesoscale atmospheric models simulating bora events.

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