Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model

Clouds and aerosols contribute the largest uncertainty to current estimates and interpretations of the Earth's changing energy budget. Here we use a new-generation large-domain large-eddy model, ICON-LEM (ICOsahedral Non-hydrostatic Large Eddy Model), to simulate the response of clouds to reali...

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Bibliographic Details
Published in:	Atmospheric chemistry and physics Vol. 20; no. 9; pp. 5657 - 5678
Main Authors:	Costa-Surós, Montserrat, Sourdeval, Odran, Acquistapace, Claudia, Baars, Holger, Carbajal Henken, Cintia, Genz, Christa, Hesemann, Jonas, Jimenez, Cristofer, König, Marcel, Kretzschmar, Jan, Madenach, Nils, Meyer, Catrin I, Schrödner, Roland, Seifert, Patric, Senf, Fabian, Brueck, Matthias, Cioni, Guido, Engels, Jan Frederik, Fieg, Kerstin, Gorges, Ksenia, Heinze, Rieke, Siligam, Pavan Kumar, Burkhardt, Ulrike, Crewell, Susanne, Hoose, Corinna, Seifert, Axel, Tegen, Ina, Quaas, Johannes
Format:	Journal Article
Language:	English
Published:	Katlenburg-Lindau Copernicus GmbH 13-05-2020 European Geosciences Union Copernicus Publications
Subjects:	Aerosol optical depth Aerosol-cloud interactions Aerosols Anthropogenic factors Budgets Climate change Cloud condensation nuclei Clouds Clouds (Meteorology) Comparative analysis Computer simulation Condensation nuclei Control simulation Detection Domains Energy budget General circulation models Ground-based observation Icosahedral phase Instruments Large eddy simulation Large eddy simulations Lidar Natural variability Oceanic eddies Optical analysis Optical radar Optical thickness Perturbation Precipitation Profiles Radiative forcing Remote sensing Satellite observation Satellite-borne instruments Satellites Sciences of the Universe Simulation Sulfates Uncertainty Variability Vortices Water Weather Weather forecasting Germany
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Summary:	Clouds and aerosols contribute the largest uncertainty to current estimates and interpretations of the Earth's changing energy budget. Here we use a new-generation large-domain large-eddy model, ICON-LEM (ICOsahedral Non-hydrostatic Large Eddy Model), to simulate the response of clouds to realistic anthropogenic perturbations in aerosols serving as cloud condensation nuclei (CCN). The novelty compared to previous studies is that (i) the LEM is run in weather prediction mode and with fully interactive land surface over a large domain and (ii) a large range of data from various sources are used for the detection and attribution. The aerosol perturbation was chosen as peak-aerosol conditions over Europe in 1985, with more than fivefold more sulfate than in 2013. Observational data from various satellite and ground-based remote sensing instruments are used, aiming at the detection and attribution of this response. The simulation was run for a selected day (2 May 2013) in which a large variety of cloud regimes was present over the selected domain of central Europe.
ISSN:	1680-7324 1680-7316 1680-7324
DOI:	10.5194/acp-20-5657-2020