Speaker
Description
In this contribution, an algorithm is presented that derives water vapor content in the atmosphere from TROPOMI (on Sentinel-5P) measurements in the near-ultraviolet spectral band. The algorithm, based on a classical differential optical absorption spectroscopy (DOAS) approach, contains some specificities. They concern the use of surface reflectance co-fitted, at pixel level, with the water vapor slant column, the statistical use of water vapor profiles to minimize the reliance on model climatologies as a-priori assumption, and a strategy for correcting the water vapor column in the presence of clouds. Looking forward, the development of this algorithm will allow the creation of a homogeneous dataset together with measurements from future Sentinel-4 (geostationary) and Sentinel-5 (polar orbiting) platforms, both equipped with the same spectral window placed between 430 and 450 nm.
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