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Publications (10 of 43) Show all publications
Theobald, M. R., Vivanco, M. G., Aas, W., Andersson, C., Ciarelli, G., Couvidat, F., . . . Colette, A. (2019). An evaluation of European nitrogen and sulfur wet deposition and their trends estimated by six chemistry transport models for the period 1990-2010. Atmospheric Chemistry And Physics, 19(1), 379-405
Open this publication in new window or tab >>An evaluation of European nitrogen and sulfur wet deposition and their trends estimated by six chemistry transport models for the period 1990-2010
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2019 (English)In: Atmospheric Chemistry And Physics, ISSN 1680-7316, E-ISSN 1680-7324, Vol. 19, no 1, p. 379-405Article in journal (Refereed) Published
National Category
Earth and Related Environmental Sciences
Research subject
Environment
Identifiers
urn:nbn:se:smhi:diva-5149 (URN)10.5194/acp-19-379-2019 (DOI)000455794000002 ()
Available from: 2019-01-29 Created: 2019-01-29 Last updated: 2019-01-29Bibliographically approved
McFiggans, G., Mentel, T. F., Wildt, J., Pullinen, I., Kang, S., Kleist, E., . . . Kiendler-Scharr, A. (2019). Secondary organic aerosol reduced by mixture of atmospheric vapours. Nature, 565(7741), 587-593
Open this publication in new window or tab >>Secondary organic aerosol reduced by mixture of atmospheric vapours
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2019 (English)In: Nature, ISSN 0028-0836, E-ISSN 1476-4687, Vol. 565, no 7741, p. 587-593Article in journal (Refereed) Published
National Category
Environmental Sciences
Research subject
Environment
Identifiers
urn:nbn:se:smhi:diva-5162 (URN)10.1038/s41586-018-0871-y (DOI)000457404000037 ()30700872 (PubMedID)
Available from: 2019-02-12 Created: 2019-02-12 Last updated: 2019-02-12Bibliographically approved
Jenkin, M. E., Khan, M. A., Shallcross, D. E., Bergström, R., Simpson, D., Murphy, K. L. & Rickard, A. R. (2019). The CRI v2.2 reduced degradation scheme for isoprene. Atmospheric Environment, 212, 172-182
Open this publication in new window or tab >>The CRI v2.2 reduced degradation scheme for isoprene
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2019 (English)In: Atmospheric Environment, ISSN 1352-2310, E-ISSN 1873-2844, Vol. 212, p. 172-182Article in journal (Refereed) Published
National Category
Environmental Sciences
Research subject
Environment
Identifiers
urn:nbn:se:smhi:diva-5234 (URN)10.1016/j.atmosenv.2019.05.055 (DOI)000474323500020 ()
Available from: 2019-07-30 Created: 2019-07-30 Last updated: 2019-07-30Bibliographically approved
Yttri, K. E., Simpson, D., Bergström, R., Kiss, G., Szidat, S., Ceburnis, D., . . . Aas, W. (2019). The EMEP Intensive Measurement Period campaign, 2008-2009: characterizing carbonaceous aerosol at nine rural sites in Europe. Atmospheric Chemistry And Physics, 19(7), 4211-4233
Open this publication in new window or tab >>The EMEP Intensive Measurement Period campaign, 2008-2009: characterizing carbonaceous aerosol at nine rural sites in Europe
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2019 (English)In: Atmospheric Chemistry And Physics, ISSN 1680-7316, E-ISSN 1680-7324, Vol. 19, no 7, p. 4211-4233Article in journal (Refereed) Published
National Category
Earth and Related Environmental Sciences
Research subject
Environment
Identifiers
urn:nbn:se:smhi:diva-5189 (URN)10.5194/acp-19-4211-2019 (DOI)000463364000004 ()
Available from: 2019-04-16 Created: 2019-04-16 Last updated: 2019-04-16Bibliographically approved
Otero, N., Sillmann, J., Mar, K. A., Rust, H. W., Solberg, S., Andersson, C., . . . Butler, T. (2018). A multi-model comparison of meteorological drivers of surface ozone over Europe. Atmospheric Chemistry And Physics, 18(16), 12269-12288
Open this publication in new window or tab >>A multi-model comparison of meteorological drivers of surface ozone over Europe
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2018 (English)In: Atmospheric Chemistry And Physics, ISSN 1680-7316, E-ISSN 1680-7324, Vol. 18, no 16, p. 12269-12288Article in journal (Refereed) Published
National Category
Environmental Sciences
Research subject
Environment
Identifiers
urn:nbn:se:smhi:diva-4958 (URN)10.5194/acp-18-12269-2018 (DOI)000442577800003 ()
Available from: 2018-09-05 Created: 2018-09-05 Last updated: 2018-09-05Bibliographically approved
Colette, A., Schucht, S., Ciarelli, G., Létinois, L., Meleux, F., Andersson, C., . . . Wind, P. (2018). Long-term air quality trends in Europe Fine Particulate Matter (PM2.5) Health Impacts.. The European Topic Centre on Air Pollution and Climate Change Mitigation (ETC/ACM)
Open this publication in new window or tab >>Long-term air quality trends in Europe Fine Particulate Matter (PM2.5) Health Impacts.
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2018 (English)Report (Other academic)
Place, publisher, year, edition, pages
The European Topic Centre on Air Pollution and Climate Change Mitigation (ETC/ACM), 2018
Series
ETC/ACM Technical Paper 2017/4 April 2018 ; 2017/4
National Category
Environmental Sciences
Research subject
Environment
Identifiers
urn:nbn:se:smhi:diva-4689 (URN)
Available from: 2018-06-13 Created: 2018-06-13 Last updated: 2018-06-13Bibliographically approved
Martinsson, J., Azeem, H. A., Sporre, M. K., Bergström, R., Ahlberg, E., Ostrom, E., . . . Stenstrom, K. E. (2017). Carbonaceous aerosol source apportionment using the Aethalometer model - evaluation by radiocarbon and levoglucosan analysis at a rural background site in southern Sweden. Atmospheric Chemistry And Physics, 17(6), 4265-4281
Open this publication in new window or tab >>Carbonaceous aerosol source apportionment using the Aethalometer model - evaluation by radiocarbon and levoglucosan analysis at a rural background site in southern Sweden
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2017 (English)In: Atmospheric Chemistry And Physics, ISSN 1680-7316, E-ISSN 1680-7324, Vol. 17, no 6, p. 4265-4281Article in journal (Refereed) Published
National Category
Environmental Sciences
Research subject
Environment
Identifiers
urn:nbn:se:smhi:diva-4041 (URN)10.5194/acp-17-4265-2017 (DOI)000397939000005 ()
Available from: 2017-04-12 Created: 2017-04-12 Last updated: 2017-11-29Bibliographically approved
Colette, A., Andersson, C., Manders, A., Mar, K., Mircea, M., Pay, M.-T., . . . Wind, P. (2017). EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990-2010. Geoscientific Model Development, 10(9), 3255-3276
Open this publication in new window or tab >>EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990-2010
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2017 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 10, no 9, p. 3255-3276Article in journal (Refereed) Published
National Category
Earth and Related Environmental Sciences
Research subject
Environment
Identifiers
urn:nbn:se:smhi:diva-4297 (URN)10.5194/gmd-10-3255-2017 (DOI)000409252100001 ()
Available from: 2017-09-19 Created: 2017-09-19 Last updated: 2017-09-19Bibliographically approved
Ots, R., Young, D. E., Vieno, M., Xu, L., Dunmore, R. E., Allan, J. D., . . . Heal, M. R. (2016). Simulating secondary organic aerosol from missing diesel-related intermediate-volatility organic compound emissions during the Clean Air for London (ClearfLo) campaign. Atmospheric Chemistry And Physics, 16(10), 6453-6473
Open this publication in new window or tab >>Simulating secondary organic aerosol from missing diesel-related intermediate-volatility organic compound emissions during the Clean Air for London (ClearfLo) campaign
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2016 (English)In: Atmospheric Chemistry And Physics, ISSN 1680-7316, E-ISSN 1680-7324, Vol. 16, no 10, p. 6453-6473Article in journal (Refereed) Published
Abstract [en]

We present high-resolution (5aEuro-kmaEuro-aEuro parts per thousand x aEuro-5aEuro-km) atmospheric chemical transport model (ACTM) simulations of the impact of newly estimated traffic-related emissions on secondary organic aerosol (SOA) formation over the UK for 2012. Our simulations include additional diesel-related intermediate-volatility organic compound (IVOC) emissions derived directly from comprehensive field measurements at an urban background site in London during the 2012 Clean Air for London (ClearfLo) campaign. Our IVOC emissions are added proportionally to VOC emissions, as opposed to proportionally to primary organic aerosol (POA) as has been done by previous ACTM studies seeking to simulate the effects of these missing emissions. Modelled concentrations are evaluated against hourly and daily measurements of organic aerosol (OA) components derived from aerosol mass spectrometer (AMS) measurements also made during the ClearfLo campaign at three sites in the London area. According to the model simulations, diesel-related IVOCs can explain on average aEuro parts per thousand aEuro-30aEuro-% of the annual SOA in and around London. Furthermore, the 90th percentile of modelled daily SOA concentrations for the whole year is 3.8aEuro-A mu gaEuro-m(-3), constituting a notable addition to total particulate matter. More measurements of these precursors (currently not included in official emissions inventories) is recommended. During the period of concurrent measurements, SOA concentrations at the Detling rural background location east of London were greater than at the central London location. The model shows that this was caused by an intense pollution plume with a strong gradient of imported SOA passing over the rural location. This demonstrates the value of modelling for supporting the interpretation of measurements taken at different sites or for short durations.

National Category
Environmental Sciences
Research subject
Environment
Identifiers
urn:nbn:se:smhi:diva-2880 (URN)10.5194/acp-16-6453-2016 (DOI)
Available from: 2016-08-23 Created: 2016-08-23 Last updated: 2017-11-28Bibliographically approved
Marecal, V., Peuch, V.-H. -., Andersson, C., Andersson, S., Arteta, J., Beekmann, M., . . . Ung, A. (2015). A regional air quality forecasting system over Europe: the MACC-II daily ensemble production. Geoscientific Model Development, 8(9), 2777-2813
Open this publication in new window or tab >>A regional air quality forecasting system over Europe: the MACC-II daily ensemble production
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2015 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 8, no 9, p. 2777-2813Article in journal (Refereed) Published
Abstract [en]

This paper describes the pre-operational analysis and forecasting system developed during MACC (Monitoring Atmospheric Composition and Climate) and continued in the MACC-II (Monitoring Atmospheric Composition and Climate: Interim Implementation) European projects to provide air quality services for the European continent. This system is based on seven state-of-the art models developed and run in Europe (CHIMERE, EMEP, EURAD-IM, LOTOS-EUROS, MATCH, MOCAGE and SILAM). These models are used to calculate multi-model ensemble products. The paper gives an overall picture of its status at the end of MACCII (summer 2014) and analyses the performance of the multi-model ensemble. The MACC-II system provides daily 96 h forecasts with hourly outputs of 10 chemical species/aerosols (O-3, NO2, SO2, CO, PM10, PM2.5, NO, NH3, total NMVOCs (non-methane volatile organic compounds) and PAN + PAN precursors) over eight vertical levels from the surface to 5 km height. The hourly analysis at the surface is done a posteriori for the past day using a selection of representative air quality data from European monitoring stations. The performance of the system is assessed daily, weekly and every 3 months (seasonally) through statistical indicators calculated using the available representative air quality data from European monitoring stations. Results for a case study show the ability of the ensemble median to forecast regional ozone pollution events. The seasonal performances of the individual models and of the multi-model ensemble have been monitored since September 2009 for ozone, NO2 and PM10. The statistical indicators for ozone in summer 2014 show that the ensemble median gives on average the best performances compared to the seven models. There is very little degradation of the scores with the forecast day but there is a marked diurnal cycle, similarly to the individual models, that can be related partly to the prescribed diurnal variations of anthropogenic emissions in the models. During summer 2014, the diurnal ozone maximum is underestimated by the ensemble median by about 4 mu g m(-3) on average. Locally, during the studied ozone episodes, the maxima from the ensemble median are often lower than observations by 30-50 mu g m(-3). Overall, ozone scores are generally good with average values for the normalised indicators of 0.14 for the modified normalised mean bias and of 0.30 for the fractional gross error. Tests have also shown that the ensemble median is robust to reduction of ensemble size by one, that is, if predictions are unavailable from one model. Scores are also discussed for PM10 for winter 2013-1014. There is an underestimation of most models leading the ensemble median to a mean bias of 4.5 mu g m(-3). The ensemble median fractional gross error is larger for PM10 (similar to 0.52) than for ozone and the correlation is lower (similar to 0.35 for PM10 and similar to 0.54 for ozone). This is related to a larger spread of the seven model scores for PM10 than for ozone linked to different levels of complexity of aerosol representation in the individual models. In parallel, a scientific analysis of the results of the seven models and of the ensemble is also done over the Mediterranean area because of the specificity of its meteorology and emissions. The system is robust in terms of the production availability. Major efforts have been done in MACC-II towards the operationalisation of all its components. Foreseen developments and research for improving its performances are discussed in the conclusion.

National Category
Environmental Sciences
Research subject
Environment
Identifiers
urn:nbn:se:smhi:diva-1943 (URN)10.5194/gmd-8-2777-2015 (DOI)000364325700005 ()
Available from: 2016-04-29 Created: 2016-03-03 Last updated: 2017-11-30Bibliographically approved
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ORCID iD: ORCID iD iconorcid.org/0000-0003-2910-747X

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