Improved NH3 retrievals from IASI

Van Damme et al. (2017) just published a paper presenting an improved version (v2.1) of the neural-network-based algorithm for retrieving atmospheric ammonia (NH3) columns from IASI satellite observations. Two datasets using different input data for the retrieval are described: one is based on the operationally provided EUMETSAT Level 2 (ANNI-NH3-v2.1), and the other uses the ECMWF ERA-Interim data (ANNI-NH3-v2.1R-I). Analyses illustrate well that the (meteorological) input data can have a large impact on the retrieved NH3 columns.

More news

Highlight

Trends in spectrally resolved outgoing longwave radiation from 10 years of satellite measurements

By analyzing the changes in the spectrally resolved Earth’s Outgoing Longwave Radiation (OLR) from 10 years of daily IASI observations, Whitburn et al. (2021) have highlighted the impact of large […]

25.11.2021

Highlight

Smallest 2019 ozone hole ever recorded by IASI over Antarctica

While sudden stratospheric warming (SSW) events are more common in the Northern Hemisphere, Safieddine et al. (2020) investigated the rare SSW event in the Southern Hemisphere that occurred in 2019 […]

16.12.2020

Highlight

Contribution of ammonia to the formation of fine particulate matter over Paris

The Paris megacity faces frequent fine particulate matter (PM2.5) pollution episodes in spring. At this period of the year, large numbers of the particles consist of ammonium sulfate and nitrate […]

26.01.2020

Search