dc.contributor.author
van der Graaf, Shelley
dc.contributor.author
Dammers, Enrico
dc.contributor.author
Segers, Arjo
dc.contributor.author
Kranenburg, Richard
dc.contributor.author
Schaap, Martijn
dc.contributor.author
Shephard, Mark W.
dc.contributor.author
Erisman, Jan Willem
dc.date.accessioned
2022-03-01T07:33:13Z
dc.date.available
2022-03-01T07:33:13Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/34242
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-33960
dc.description.abstract
Atmospheric levels of ammonia (NH3) have substantially increased during the last century, posing a hazard to both human health and environmental quality. The atmospheric budget of NH3, however, is still highly uncertain due to an overall lack of observations. Satellite observations of atmospheric NH3 may help us in the current observational and knowledge gaps. Recent observations of the Cross-track Infrared Sounder (CrIS) provide us with daily, global distributions of NH3. In this study, the CrIS NH3 product is assimilated into the LOTOS-EUROS chemistry transport model using two different methods aimed at improving the modeled spatiotemporal NH3 distributions. In the first method NH3 surface concentrations from CrIS are used to fit spatially varying NH3 emission time factors to redistribute model input NH3 emissions over the year. The second method uses the CrIS NH3 profile to adjust the NH3 emissions using a local ensemble transform Kalman filter (LETKF) in a top-down approach. The two methods are tested separately and combined, focusing on a region in western Europe (Germany, Belgium and the Netherlands). In this region, the mean CrIS NH3 total columns were up to a factor 2 higher than the simulated NH3 columns between 2014 and 2018, which, after assimilating the CrIS NH3 columns using the LETKF algorithm, led to an increase in the total NH3 emissions of up to approximately 30 %. Our results illustrate that CrIS NH3 observations can be used successfully to estimate spatially variable NH3 time factors and improve NH3 emission distributions temporally, especially in spring (March to May). Moreover, the use of the CrIS-based NH3 time factors resulted in an improved comparison with the onset and duration of the NH3 spring peak observed at observation sites at hourly resolution in the Netherlands. Assimilation of the CrIS NH3 columns with the LETKF algorithm is mainly advantageous for improving the spatial concentration distribution of the modeled NH3 fields. Compared to in situ observations, a combination of both methods led to the most significant improvements in modeled monthly NH3 surface concentration and NH4+ wet deposition fields, illustrating the usefulness of the CrIS NH3 products to improve the temporal representativity of the model and better constrain the budget in agricultural areas.
en
dc.format.extent
22 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
atmospheric levels
en
dc.subject
satellite observations
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::550 Geowissenschaften
dc.title
Data assimilation of CrIS NH3 satellite observations for improving spatiotemporal NH3 distributions in LOTOS-EUROS
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.5194/acp-22-951-2022
dcterms.bibliographicCitation.journaltitle
Atmospheric Chemistry and Physics
dcterms.bibliographicCitation.number
2
dcterms.bibliographicCitation.pagestart
951
dcterms.bibliographicCitation.pageend
972
dcterms.bibliographicCitation.volume
22
dcterms.bibliographicCitation.url
https://doi.org/10.5194/acp-22-951-2022
refubium.affiliation
Geowissenschaften
refubium.affiliation.other
Institut für Meteorologie
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1680-7324
refubium.resourceType.provider
WoS-Alert