http://www.clim-past.net/10/359/2014/cp-10-359-2014.html

Abstract. As the understanding and representation of the impacts of
volcanic eruptions on climate have improved in the last decades,
uncertainties in the stratospheric aerosol forcing from large eruptions are
now linked not only to visible optical depth estimates on a global scale
but also to details on the size, latitude and altitude distributions of the
stratospheric aerosols. Based on our understanding of these uncertainties,
we propose a new model-based approach to generating a volcanic forcing for
general circulation model (GCM) and chemistry-climate model (CCM)
simulations. This new volcanic forcing, covering the 1600-present period,
uses an aerosol microphysical model to provide a realistic, physically
consistent treatment of the stratospheric sulfate aerosols. Twenty-six
eruptions were modeled individually using the latest available ice cores
aerosol mass estimates and historical data on the latitude and date of
eruptions. The evolution of aerosol spatial and size distribution after the
sulfur dioxide discharge are hence characterized for each volcanic
eruption. Large variations are seen in hemispheric partitioning and size
distributions in relation to location/date of eruptions and injected
SO2 masses. Results for recent eruptions show reasonable agreement with
observations. By providing these new estimates of spatial distributions of
shortwave and long-wave radiative perturbations, this volcanic forcing may
help to better constrain the climate model responses to volcanic eruptions
in the 1600-present period. The final data set consists of 3-D values (with
constant longitude) of spectrally resolved extinction coefficients, single
scattering albedos and asymmetry factors calculated for different
wavelength bands upon request. Surface area densities for heterogeneous
chemistry are also provided.

Citation: Arfeuille, F., Weisenstein, D., Mack, H., Rozanov, E., Peter, T.,
and Brönnimann, S.: Volcanic forcing for climate modeling: a new
microphysics-based data set covering years 1600-present, Clim. Past, 10,
359-375, doi:10.5194/cp-10-359-2014, 2014

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