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- Grythe, Henrik, 1980-
(författare)
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Primary Marine Aerosol : Validation of sea spray source functions using observations and transport modeling
- 2014
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Sea spray aerosols (SSA) are an important part of the climate system through their effects on the global radiative budget, both directly as scatterers and absorbers of solar and terrestrial radiation, and indirectly as cloud condensation nuclei (CCN) influencing cloud formation, lifetime and precipitation. In terms of their global mass, SSA is the largest source and has the largest uncertainty of all aerosols. In this study I have reviewed 21 SSA source functions from the literature, several of which are used in current climate models, and as a result of this work a new source function is proposed.The model FLEXPART was run in backward mode utilizing a large global set of observed SSA concentrations, comprised of several station networks and ship cruise measurement campaigns. FLEXPART backward calculations produce gridded emission sensitivity fields, which can subsequently be multiplied with gridded SSA production fluxes to obtain modeled SSA concentrations. This allows to efficiently evaluate all 21 source functions at the same time. Another advantage of this method is that source-region information on wind speed and sea surface temperatures (SSTs) could be stored and used for evaluating their influence on SSA production.The main driver of SSA production is wind, and the best fit to the observation data could be obtained when the SSA production is proportional to U103.5. A strong influence of SST on the production could be detected as well, although the underlying physical mechanisms of the SST influence remains unclear. For SST we obtain the best fit to the measurement data when SSA concentration is proportional to 0.031×T+0.39, where T is the source average SST. Based on the model source region average temperature and wind, an empirical fit was made to the data and a new source function obtained. The fit was made by using the model concentrations, observational data, ECMWF winds and the existing source function volume fluxes. Our new source function gives a global SSA production for particles smaller than 10μm of 9Pg yr-1 and is the best fit to the observed concentrations. The existing source functions display the large uncertainties, spanning from a global emitted mass of 1.9 to 100’s of Pg yr-1. Wind dependencies also range strongly and those far from U103.5, have poor correlation with observed values. It is also possible to add temperature dependence to an existing source function to come further towards observed values with the model results. Sea spray aerosols (SSA) are an important part of the climate system through their effects on the global radiative budget, both directly as scatterers and absorbers of solar and terrestrial radiation, and indirectly as cloud condensation nuclei (CCN) influencing cloud formation, lifetime and precipitation. In terms of their global mass, SSA is the largest source and has the largest uncertainty of all aerosols. In this study I have reviewed 21 SSA source functions from the literature, several of which are used in current climate models, and as a result of this work a new source function is proposed.The model FLEXPART was run in backward mode utilizing a large global set of observed SSA concentrations, comprised of several station networks and ship cruise measurement campaigns. FLEXPART backward calculations produce gridded emission sensitivity fields, which can subsequently be multiplied with gridded SSA production fluxes to obtain modeled SSA concentrations. This allows to efficiently evaluate all 21 source functions at the same time. Another advantage of this method is that source-region information on wind speed and sea surface temperatures (SSTs) could be stored and used for evaluating their influence on SSA production.The main driver of SSA production is wind, and the best fit to the observation data could be obtained when the SSA production is proportional to U103.5. A strong influence of SST on the production could be detected as well, although the underlying physical mechanisms of the SST influence remains unclear. For SST we obtain the best fit to the measurement data when SSA concentration is proportional to 0.031×T+0.39, where T is the source average SST. Based on the model source region average temperature and wind, an empirical fit was made to the data and a new source function obtained. The fit was made by using the model concentrations, observational data, ECMWF winds and the existing source function volume fluxes. Our new source function gives a global SSA production for particles smaller than 10μm of 9Pg yr-1 and is the best fit to the observed concentrations. The existing source functions display the large uncertainties, spanning from a global emitted mass of 1.9 to 100’s of Pg yr-1. Wind dependencies also range strongly and those far from U103.5, have poor correlation with observed values. It is also possible to add temperature dependence to an existing source function to come further towards observed values with the model results.Sea spray aerosols (SSA) are an important part of the climate system through their effects on the global radiative budget, both directly as scatterers and absorbers of solar and terrestrial radiation, and indirectly as cloud condensation nuclei (CCN) influencing cloud formation, lifetime and precipitation. In terms of their global mass, SSA is the largest source and has the largest uncertainty of all aerosols. In this study I have reviewed 21 SSA source functions from the literature, several of which are used in current climate models, and as a result of this work a new source function is proposed.The model FLEXPART was run in backward mode utilizing a large global set of observed SSA concentrations, comprised of several station networks and ship cruise measurement campaigns. FLEXPART backward calculations produce gridded emission sensitivity fields, which can subsequently be multiplied with gridded SSA production fluxes to obtain modeled SSA concentrations. This allows to efficiently evaluate all 21 source functions at the same time. Another advantage of this method is that source-region information on wind speed and sea surface temperatures (SSTs) could be stored and used for evaluating their influence on SSA production.The main driver of SSA production is wind, and the best fit to the observation data could be obtained when the SSA production is proportional to U103.5. A strong influence of SST on the production could be detected as well, although the underlying physical mechanisms of the SST influence remains unclear. For SST we obtain the best fit to the measurement data when SSA concentration is proportional to 0.031×T+0.39, where T is the source average SST. Based on the model source region average temperature and wind, an empirical fit was made to the data and a new source function obtained. The fit was made by using the model concentrations, observational data, ECMWF winds and the existing source function volume fluxes. Our new source function gives a global SSA production for particles smaller than 10μm of 9Pg yr-1 and is the best fit to the observed concentrations. The existing source functions display the large uncertainties, spanning from a global emitted mass of 1.9 to 100’s of Pg yr-1. Wind dependencies also range strongly and those far from U103.5, have poor correlation with observed values. It is also possible to add temperature dependence to an existing source function to come further towards observed values with the model results.
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| 4. |
- Grythe, Henrik, 1980-
(författare)
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Quantification of sources and removal mechanisms of atmospheric aerosol particles
- 2017
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The focus of this work has been to quantify important processes for climatically relevant aerosols, and to improve our understanding of, and ability to accurately model, aerosols in the atmosphere on a large scale. This thesis contains five papers focused on different parts of the life cycle of atmospheric aerosol particles. Two papers describe the physical process of emission of primary marine aerosols. The large uncertainties in these processes are demonstrated by examining the diversity of existing parameterizations for emissions. Building from laboratory experiments to validation of model results with observations, new parameterizations are suggested. These take into account also effects of water temperature on primary marine aerosol production. In the third paper the main focus was to develop a new aerosol wet removal scheme in the Lagrangian transport and dispersion model FLEXPART. Removal timescales and atmospheric concentrations are found to be close to observation based estimates. The final two papers focus on atmospheric black carbon aerosols at high latitudes. As an example of increased human activities in the Arctic, local emissions from cruise ships visiting the research base in Ny Ålesund had demonstrable effects on the level of pollutants measured there. In contrast, inland Antarctic air was shown to be clean compared to the Arctic, due to the extremely long transport time from any major aerosol sources. The work done in this thesis has addressed critical uncertainties regarding the aerosol lifecycle, by better constraining aerosol emissions and atmospheric lifetimes. The development of the new wet removal scheme has improved FLEXPART model accuracy, which will be beneficial in future applications of the model.
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