Articles | Volume 12, issue 12
https://doi.org/10.5194/amt-12-6619-2019
https://doi.org/10.5194/amt-12-6619-2019
Research article
 | 
13 Dec 2019
Research article |  | 13 Dec 2019

A neural network radiative transfer model approach applied to the Tropospheric Monitoring Instrument aerosol height algorithm

Swadhin Nanda, Martin de Graaf, J. Pepijn Veefkind, Mark ter Linden, Maarten Sneep, Johan de Haan, and Pieternel F. Levelt

Data sets

MODIS/Terra Calibrated Radiances 5-Min L1B Swath 1 km MODIS Science Data Support Team (SDST) https://doi.org/10.5067/MODIS/MOD021KM.006

Short summary
This paper discusses a neural network forward model used by the operational aerosol layer height (ALH) retrieval algorithm for the TROPOspheric Monitoring Instrument (TROPOMI) on board the European Sentinel-5 Precursor satellite mission. This model replaces online radiative transfer calculations within the oxygen A-band, improving the speed of the algorithm by 3 orders of magnitude. With this advancement in the algorithm's speed, TROPOMI is set to deliver the ALH product operationally.