Articles | Volume 22, issue 2
https://doi.org/10.5194/acp-22-951-2022
https://doi.org/10.5194/acp-22-951-2022
Research article
 | 
20 Jan 2022
Research article |  | 20 Jan 2022

Data assimilation of CrIS NH3 satellite observations for improving spatiotemporal NH3 distributions in LOTOS-EUROS

Shelley van der Graaf, Enrico Dammers, Arjo Segers, Richard Kranenburg, Martijn Schaap, Mark W. Shephard, and Jan Willem Erisman

Data sets

CrIS fast physical retrieval (FPR) NH3 product v1.5 ECCC - Environment and Climate Change Canada https://hpfx.collab.science.gc.ca/~mas001/satellite_ ext/cris/snpp/nh3/v1_5/

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Short summary
CrIS NH3 satellite observations are assimilated into the LOTOS-EUROS model using two different methods. In the first method the data are used to fit spatially varying NH3 emission time factors. In the second method a local ensemble transform Kalman filter is used. Compared to in situ observations, combining both methods led to the most significant improvements in the modeled concentrations and deposition, illustrating the usefulness of CrIS NH3 to improve the spatiotemporal distribution of NH3.
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