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- W262795554 abstract "The cloud droplet number concentration (CDNC) formed in an ascending air parcel depends both on the properties of the aerosol population and the vertical velocity. In this work, we study the influence of these two factors on the CDNC and the cloud radiative effects using input data generated by the fine-scale numerical weather prediction model AROME. The procedure involves three steps. (1) First, instantaneous data is extracted from the AROME model run at 2.5 km horizontal resolution. These data include vertical profiles of vertical velocity, cloud properties, temperature and water vapour, as well as other parameters needed for radiation calculations. (2) Second, these data, together with assumptions about aerosol properties, are fed into a 0-dimensional box model to simulate the CDNC. The Nenes and Seinfeld (2003) parameterization is used for aerosol activation. (3) Third, the data from the AROME model and the CDNC simulated by the box model are used as input for off-line radiation calculations. The radiative transfer scheme used in the ECHAM5.4 GCM is employed for the calculations." @default.
- W262795554 created "2016-06-24" @default.
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- W262795554 date "2010-05-01" @default.
- W262795554 modified "2023-09-28" @default.
- W262795554 title "Sensitivity of simulated cloud droplet number concentration and cloud radiative effects to vertical velocity and aerosol population" @default.
- W262795554 hasPublicationYear "2010" @default.
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