Articles | Volume 16, issue 21
https://doi.org/10.5194/amt-16-5009-2023
https://doi.org/10.5194/amt-16-5009-2023
Research article
 | 
30 Oct 2023
Research article |  | 30 Oct 2023

The IASI NH3 version 4 product: averaging kernels and improved consistency

Lieven Clarisse, Bruno Franco, Martin Van Damme, Tommaso Di Gioacchino, Juliette Hadji-Lazaro, Simon Whitburn, Lara Noppen, Daniel Hurtmans, Cathy Clerbaux, and Pierre Coheur

Data sets

Near-real time daily IASI/Metop-A ULB-LATMOS ammonia (NH$_3$) L2 product (total column) AERIS https://doi.org/10.25326/10

Near-real time daily IASI/Metop-B ULB-LATMOS ammonia (NH$_3$) L2 product (total column) AERIS https://doi.org/10.25326/11

Reanalyzed daily IASI/Metop-A ULB-LATMOS ammonia (NH$_3$) L2 product (total column) AERIS https://doi.org/10.25326/12

Reanalyzed daily IASI/Metop-B ULB-LATMOS ammonia (NH$_3$) L2 product (total column) AERIS https://doi.org/10.25326/13

Near-real time daily IASI/Metop-C ULB-LATMOS ammonia (NH$_3$) L2 product (total column) AERIS https://doi.org/10.25326/67

Reanalyzed daily IASI/Metop-C ULB-LATMOS ammonia (NH$_3$) L2 product (total column) AERIS https://doi.org/10.25326/500

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Short summary
Ammonia is an important atmospheric pollutant. This article presents version 4 of the algorithm which retrieves ammonia abundances from the infrared measurements of the satellite sounder IASI. A measurement operator is introduced that can emulate the measurements (so-called averaging kernels) and measurement uncertainty is better characterized. Several other changes to the product itself are also documented, most of which improve the temporal consistency of the 2007–2022 IASI NH3 dataset.