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Correction of approximation errors with Random Forests applied to modelling of cloud droplet formation
approximation errors Random Forests
2014/12/12
n atmospheric models, due to their computational
time or resource limitations, physical processes have to be
simulated using reduced (i.e. simplified) models.
Aerosol- and updraft-limited regimes of cloud droplet formation: influence of particle number, size and hygroscopicity on the activation of cloud condensation nuclei (CCN)
Aerosol- and updraft-limited regimes cloud droplet formation cloud condensation nuclei CCN
2009/9/27
We have investigated the formation of cloud droplets under pyro-convective conditions using a cloud parcel model with detailed spectral microphysics and with the κ-Köhler model approach for effic...
Parameterization of cloud droplet formation for global and regional models: including adsorption activation from insoluble CCN
cloud droplet formation global and regional models insoluble CCN
2009/5/7
Dust and black carbon aerosol have long been known to exert potentially important and diverse impacts on cloud droplet formation. Most studies to date focus on the soluble fraction of these particles,...