TY - JOUR
T1 - Comparison of particle number size distribution trends in ground measurements and climate models
AU - Leinonen, Ville
AU - Kokkola, Harri
AU - Yli-Juuti, Taina
AU - Mielonen, Tero
AU - Kühn, Thomas
AU - Nieminen, Tuomo
AU - Heikkinen, Simo
AU - Miinalainen, Tuuli
AU - Bergman, Tommi
AU - Carslaw, Ken
AU - Decesari, Stefano
AU - Fiebig, Markus
AU - Hussein, Tareq
AU - Kivekäs, Niku
AU - Krejci, Radovan
AU - Kulmala, Markku
AU - Leskinen, Ari
AU - Massling, Andreas
AU - Mihalopoulos, Nikos
AU - Mulcahy, Jane P.
AU - Noe, Steffen M.
AU - Van Noije, Twan
AU - O'connor, Fiona M.
AU - O'dowd, Colin
AU - Olivie, Dirk
AU - Pernov, Jakob B.
AU - Petäjä, Tuukka
AU - Seland, Øyvind
AU - Schulz, Michael
AU - Scott, Catherine E.
AU - Skov, Henrik
AU - Swietlicki, Erik
AU - Tuch, Thomas
AU - Wiedensohler, Alfred
AU - Virtanen, Annele
AU - Mikkonen, Santtu
PY - 2022/10
Y1 - 2022/10
N2 - Despite a large number of studies, out of all drivers of radiative forcing, the effect of aerosols has the largest uncertainty in global climate model radiative forcing estimates. There have been studies of aerosol optical properties in climate models, but the effects of particle number size distribution need a more thorough inspection. We investigated the trends and seasonality of particle number concentrations in nucleation, Aitken, and accumulation modes at 21 measurement sites in Europe and the Arctic. For 13 of those sites, with longer measurement time series, we compared the field observations with the results from five climate models, namely EC-Earth3, ECHAM-M7, ECHAM-SALSA, NorESM1.2, and UKESM1. This is the first extensive comparison of detailed aerosol size distribution trends between in situ observations from Europe and five earth system models (ESMs). We found that the trends of particle number concentrations were mostly consistent and decreasing in both measurements and models. However, for many sites, climate models showed weaker decreasing trends than the measurements. Seasonal variability in measured number concentrations, quantified by the ratio between maximum and minimum monthly number concentration, was typically stronger at northern measurement sites compared to other locations. Models had large differences in their seasonal representation, and they can be roughly divided into two categories: for EC-Earth and NorESM, the seasonal cycle was relatively similar for all sites, and for other models the pattern of seasonality varied between northern and southern sites. In addition, the variability in concentrations across sites varied between models, some having relatively similar concentrations for all sites, whereas others showed clear differences in concentrations between remote and urban sites. To conclude, although all of the model simulations had identical input data to describe anthropogenic mass emissions, trends in differently sized particles vary among the models due to assumptions in emission sizes and differences in how models treat size-dependent aerosol processes. The inter-model variability was largest in the accumulation mode, i.e. sizes which have implications for aerosol-cloud interactions. Our analysis also indicates that between models there is a large variation in efficiency of long-range transportation of aerosols to remote locations. The differences in model results are most likely due to the more complex effect of different processes instead of one specific feature (e.g. the representation of aerosol or emission size distributions). Hence, a more detailed characterization of microphysical processes and deposition processes affecting the long-range transport is needed to understand the model variability.
AB - Despite a large number of studies, out of all drivers of radiative forcing, the effect of aerosols has the largest uncertainty in global climate model radiative forcing estimates. There have been studies of aerosol optical properties in climate models, but the effects of particle number size distribution need a more thorough inspection. We investigated the trends and seasonality of particle number concentrations in nucleation, Aitken, and accumulation modes at 21 measurement sites in Europe and the Arctic. For 13 of those sites, with longer measurement time series, we compared the field observations with the results from five climate models, namely EC-Earth3, ECHAM-M7, ECHAM-SALSA, NorESM1.2, and UKESM1. This is the first extensive comparison of detailed aerosol size distribution trends between in situ observations from Europe and five earth system models (ESMs). We found that the trends of particle number concentrations were mostly consistent and decreasing in both measurements and models. However, for many sites, climate models showed weaker decreasing trends than the measurements. Seasonal variability in measured number concentrations, quantified by the ratio between maximum and minimum monthly number concentration, was typically stronger at northern measurement sites compared to other locations. Models had large differences in their seasonal representation, and they can be roughly divided into two categories: for EC-Earth and NorESM, the seasonal cycle was relatively similar for all sites, and for other models the pattern of seasonality varied between northern and southern sites. In addition, the variability in concentrations across sites varied between models, some having relatively similar concentrations for all sites, whereas others showed clear differences in concentrations between remote and urban sites. To conclude, although all of the model simulations had identical input data to describe anthropogenic mass emissions, trends in differently sized particles vary among the models due to assumptions in emission sizes and differences in how models treat size-dependent aerosol processes. The inter-model variability was largest in the accumulation mode, i.e. sizes which have implications for aerosol-cloud interactions. Our analysis also indicates that between models there is a large variation in efficiency of long-range transportation of aerosols to remote locations. The differences in model results are most likely due to the more complex effect of different processes instead of one specific feature (e.g. the representation of aerosol or emission size distributions). Hence, a more detailed characterization of microphysical processes and deposition processes affecting the long-range transport is needed to understand the model variability.
UR - http://www.scopus.com/inward/record.url?scp=85140628856&partnerID=8YFLogxK
U2 - 10.5194/acp-22-12873-2022
DO - 10.5194/acp-22-12873-2022
M3 - Journal article
AN - SCOPUS:85140628856
SN - 1680-7316
VL - 22
SP - 12873
EP - 12905
JO - Atmospheric Chemistry and Physics
JF - Atmospheric Chemistry and Physics
IS - 19
ER -