A new paper published on OMI aerosol layer height retrieval from the O2-O2 visible band and neural networks – Comparison with CALIOP aerosol spatial patterns

I am very glad to have a new paper recently published in the Atmospheric Measurement Techniques (AMT) journal. This paper relies on a research work achieved during the last months with my colleagues of the Geoscience and Remote Sensing (GRS) department of TU Delft and KNMI: Dr. J. Pepijn Veefkind, Dr. Tim Vlemmix, and Prof. Dr. Pieternel  F. Levelt.

This paper is based on the work of 2017, in which a neural network algorithm was developed for retrieving aerosol layer height (ALH) from the OMI O2-O2 visible measurements. This time, we directly compare our retrievals with CALIOP aerosol observations and evaluate the spatial patterns on several remarkable case studies including urban pollution, biomass burning events and a Saharan dust outbreak!

Gotten curious? See more information here.

I greatly thank my co-authors from the Netherlands for this very interesting work!

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