Articles | Volume 15, issue 2
https://doi.org/10.5194/acp-15-703-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-703-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Explicit representation of subgrid variability in cloud microphysics yields weaker aerosol indirect effect in the ECHAM5-HAM2 climate model
Finnish Meteorological Institute, Atmospheric Research Centre of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Department of Physics, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
H. Järvinen
Department of Physics, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
P. Räisänen
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
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Cited
12 citations as recorded by crossref.
- The Weather Research and Forecasting Model with Aerosol–Cloud Interactions (WRF-ACI): Development, Evaluation, and Initial Application T. Glotfelty et al. https://doi.org/10.1175/MWR-D-18-0267.1
- An Improved Double-Gaussian Closure for the Subgrid Vertical Velocity Probability Distribution Function A. Fitch https://doi.org/10.1175/JAS-D-18-0149.1
- Separating Cloud and Drizzle Signals in Radar Doppler Spectra Using a Parametric Time Domain Method S. Joshil et al. https://doi.org/10.1175/JTECH-D-20-0061.1
- A flexible importance sampling method for integrating subgrid processes E. Raut & V. Larson https://doi.org/10.5194/gmd-9-413-2016
- Anthropogenic Aerosol Influences on Mixed-Phase Clouds U. Lohmann https://doi.org/10.1007/s40641-017-0059-9
- Strong impacts on aerosol indirect effects from historical oxidant changes I. Karset et al. https://doi.org/10.5194/acp-18-7669-2018
- Advancing global aerosol simulations with size-segregated anthropogenic particle number emissions F. Xausa et al. https://doi.org/10.5194/acp-18-10039-2018
- Studying Scale Dependency of Aerosol–Cloud Interactions Using Multiscale Cloud Formulations T. Glotfelty et al. https://doi.org/10.1175/JAS-D-19-0203.1
- High Sensitivity of Arctic Black Carbon Radiative Effects to Subgrid Vertical Velocity in Aerosol Activation H. Matsui & N. Moteki https://doi.org/10.1029/2020GL088978
- Use of Machine Learning to Reduce Uncertainties in Particle Number Concentration and Aerosol Indirect Radiative Forcing Predicted by Climate Models F. Yu et al. https://doi.org/10.1029/2022GL098551
- A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model K. Thayer-Calder et al. https://doi.org/10.5194/gmd-8-3801-2015
- Evaluation of autoconversion schemes in a single model framework with satellite observations T. Michibata & T. Takemura https://doi.org/10.1002/2015JD023818-T
12 citations as recorded by crossref.
- The Weather Research and Forecasting Model with Aerosol–Cloud Interactions (WRF-ACI): Development, Evaluation, and Initial Application T. Glotfelty et al. https://doi.org/10.1175/MWR-D-18-0267.1
- An Improved Double-Gaussian Closure for the Subgrid Vertical Velocity Probability Distribution Function A. Fitch https://doi.org/10.1175/JAS-D-18-0149.1
- Separating Cloud and Drizzle Signals in Radar Doppler Spectra Using a Parametric Time Domain Method S. Joshil et al. https://doi.org/10.1175/JTECH-D-20-0061.1
- A flexible importance sampling method for integrating subgrid processes E. Raut & V. Larson https://doi.org/10.5194/gmd-9-413-2016
- Anthropogenic Aerosol Influences on Mixed-Phase Clouds U. Lohmann https://doi.org/10.1007/s40641-017-0059-9
- Strong impacts on aerosol indirect effects from historical oxidant changes I. Karset et al. https://doi.org/10.5194/acp-18-7669-2018
- Advancing global aerosol simulations with size-segregated anthropogenic particle number emissions F. Xausa et al. https://doi.org/10.5194/acp-18-10039-2018
- Studying Scale Dependency of Aerosol–Cloud Interactions Using Multiscale Cloud Formulations T. Glotfelty et al. https://doi.org/10.1175/JAS-D-19-0203.1
- High Sensitivity of Arctic Black Carbon Radiative Effects to Subgrid Vertical Velocity in Aerosol Activation H. Matsui & N. Moteki https://doi.org/10.1029/2020GL088978
- Use of Machine Learning to Reduce Uncertainties in Particle Number Concentration and Aerosol Indirect Radiative Forcing Predicted by Climate Models F. Yu et al. https://doi.org/10.1029/2022GL098551
- A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model K. Thayer-Calder et al. https://doi.org/10.5194/gmd-8-3801-2015
- Evaluation of autoconversion schemes in a single model framework with satellite observations T. Michibata & T. Takemura https://doi.org/10.1002/2015JD023818-T
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