Articles | Volume 15, issue 15
https://doi.org/10.5194/acp-15-8717-2015
© 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-15-8717-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Aug 2015
Research article |
| 07 Aug 2015
Prognostic precipitation with three liquid water classes in the ECHAM5–HAM GCM
V. Sant
CORRESPONDING AUTHOR
Institute of Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland
now at: Max Planck Institute for Meteorology, Hamburg, Germany
R. Posselt
Federal Institute for Meteorology and Climatology, MeteoSchweiz, Zürich, Switzerland
U. Lohmann
Institute of Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland
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Cited
19 citations as recorded by crossref.
- Unveiling aerosol–cloud interactions – Part 2: Minimising the effects of aerosol swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data D. Neubauer et al. 10.5194/acp-17-13165-2017
- Cloud Microphysics in Global Cloud Resolving Models T. Seiki et al. 10.1080/07055900.2022.2075310
- Numerically Relevant Timescales in the MG2 Microphysics Model S. Santos et al. 10.1029/2019MS001972
- The Canadian Atmospheric Model version 5 (CanAM5.0.3) J. Cole et al. 10.5194/gmd-16-5427-2023
- Radiative effects of precipitation on the global energy budget and Arctic amplification T. Michibata 10.1038/s41612-024-00684-4
- Constraining Precipitation Susceptibility of Warm-, Ice-, and Mixed-Phase Clouds with Microphysical Equations F. Glassmeier & U. Lohmann 10.1175/JAS-D-16-0008.1
- The source of discrepancies in aerosol–cloud–precipitation interactions between GCM and A-Train retrievals T. Michibata et al. 10.5194/acp-16-15413-2016
- Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM S. Muench & U. Lohmann 10.1029/2019MS001824
- Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM Y. Imura & T. Michibata 10.1029/2022MS003046
- Anthropogenic Aerosol Influences on Mixed-Phase Clouds U. Lohmann 10.1007/s40641-017-0059-9
- Snow-induced buffering in aerosol–cloud interactions T. Michibata et al. 10.5194/acp-20-13771-2020
- Prognostic parameterization of cloud ice with a single category in the aerosol-climate model ECHAM(v6.3.0)-HAM(v2.3) R. Dietlicher et al. 10.5194/gmd-11-1557-2018
- Effect of varying experimental conditions on the viscosity of <i>α</i>-pinene derived secondary organic material J. Grayson et al. 10.5194/acp-16-6027-2016
- Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. 10.1029/2018MS001596
- The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 2: Cloud evaluation, aerosol radiative forcing, and climate sensitivity D. Neubauer et al. 10.5194/gmd-12-3609-2019
- How important are future marine and shipping aerosol emissions in a warming Arctic summer and autumn? A. Gilgen et al. 10.5194/acp-18-10521-2018
- The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
- Strong impacts on aerosol indirect effects from historical oxidant changes I. Karset et al. 10.5194/acp-18-7669-2018
- Reconciling Compensating Errors Between Precipitation Constraints and the Energy Budget in a Climate Model T. Michibata & K. Suzuki 10.1029/2020GL088340
19 citations as recorded by crossref.
- Unveiling aerosol–cloud interactions – Part 2: Minimising the effects of aerosol swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data D. Neubauer et al. 10.5194/acp-17-13165-2017
- Cloud Microphysics in Global Cloud Resolving Models T. Seiki et al. 10.1080/07055900.2022.2075310
- Numerically Relevant Timescales in the MG2 Microphysics Model S. Santos et al. 10.1029/2019MS001972
- The Canadian Atmospheric Model version 5 (CanAM5.0.3) J. Cole et al. 10.5194/gmd-16-5427-2023
- Radiative effects of precipitation on the global energy budget and Arctic amplification T. Michibata 10.1038/s41612-024-00684-4
- Constraining Precipitation Susceptibility of Warm-, Ice-, and Mixed-Phase Clouds with Microphysical Equations F. Glassmeier & U. Lohmann 10.1175/JAS-D-16-0008.1
- The source of discrepancies in aerosol–cloud–precipitation interactions between GCM and A-Train retrievals T. Michibata et al. 10.5194/acp-16-15413-2016
- Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM S. Muench & U. Lohmann 10.1029/2019MS001824
- Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM Y. Imura & T. Michibata 10.1029/2022MS003046
- Anthropogenic Aerosol Influences on Mixed-Phase Clouds U. Lohmann 10.1007/s40641-017-0059-9
- Snow-induced buffering in aerosol–cloud interactions T. Michibata et al. 10.5194/acp-20-13771-2020
- Prognostic parameterization of cloud ice with a single category in the aerosol-climate model ECHAM(v6.3.0)-HAM(v2.3) R. Dietlicher et al. 10.5194/gmd-11-1557-2018
- Effect of varying experimental conditions on the viscosity of <i>α</i>-pinene derived secondary organic material J. Grayson et al. 10.5194/acp-16-6027-2016
- Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. 10.1029/2018MS001596
- The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 2: Cloud evaluation, aerosol radiative forcing, and climate sensitivity D. Neubauer et al. 10.5194/gmd-12-3609-2019
- How important are future marine and shipping aerosol emissions in a warming Arctic summer and autumn? A. Gilgen et al. 10.5194/acp-18-10521-2018
- The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
- Strong impacts on aerosol indirect effects from historical oxidant changes I. Karset et al. 10.5194/acp-18-7669-2018
- Reconciling Compensating Errors Between Precipitation Constraints and the Energy Budget in a Climate Model T. Michibata & K. Suzuki 10.1029/2020GL088340
Saved (final revised paper)
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Latest update: 23 Nov 2024
Short summary
We have introduced prognostic precipitation for both liquid (drizzle and rain) and solid (snow) phase precipitation into the global circulation model ECHAM5-HAM. This has a significant effect on the clouds and the parameterized collection rates, also reducing the sensitivity of the liquid water path to the anthropogenic aerosol forcing. Altogether the results suggest that the treatment of precipitation in global circulation models has a significant influence on the phase and lifetime of clouds.
We have introduced prognostic precipitation for both liquid (drizzle and rain) and solid (snow)...
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