Dear Colleagues,

Decades of advances in satellite monitoring potential and capabilities have resulted in a great magnitude of scientific datasets from local to global scales, which are useful to many stakeholders, including researchers, policy makers, and the general public. However, the interpretation of the signals detected on a satellite is much more difficult as compared to ground measurements, while aerosols and clouds are still among the major difficulties in satellite observations, and atmospheric aerosol forcing is one of the greatest uncertainties in our understanding of the climate system.

The use of various satellites has generated multiple types of data, leading to the generation of aerosol products such as aerosol spatial distribution, temporal variation, fraction of fine and coarse modes, vertical distribution, light absorption, and some spectral characteristics. This information can be used to detect sources of aerosol emissions, aerosol pathways, as well as interactions between aerosols and energy and water cycles. The synergetic use of data from different satellite sensors provides more comprehensive information to better quantify the direct and indirect effects of aerosols on the Earth’s climate. This is especially helpful over the ocean, where ground-truth studies are limited to shipborne observations, which are difficult and costly, not to mention the scale of the aerial coverage vs. the research potential. Other crucial parameters retrieved from satellite ocean observations that are crucial in climate parametrizations include: SST, surface wind stress, ocean color and global weather patterns.  

We welcome submissions related to:

• Comparisons of ground-truth and satellite aerosol measurements over the ocean;
• Descriptions of field work results;
• Description of aerosol studies over the ocean;
• Models vs. observations;
• Descriptions of all crucial studies involving SST, surface wind stress, and ocean color.

Dr. Tymon P. Zielinski
Guest Editor

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• transformation of aerosol optical properties
• ground truth vs. satellite observations
• radiative balance/radiative forcing
• remote sensing
• field and theoretical studies