Articles | Volume 12, issue 12
Atmos. Meas. Tech., 12, 6619–6634, 2019
https://doi.org/10.5194/amt-12-6619-2019

Special issue: TROPOMI on Sentinel-5 Precursor: first year in operation (AMT/ACP...

Atmos. Meas. Tech., 12, 6619–6634, 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 et al.

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.