Articles | Volume 8, issue 11
https://doi.org/10.5194/acp-8-2949-2008
© Author(s) 2008. 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-8-2949-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
12 Jun 2008
Introduction of prognostic rain in ECHAM5: design and single column model simulations
R. Posselt
Institute for Atmospheric and Climate Science, ETH Zurich, Universitaetsstrasse 16, 8092 Zurich, Switzerland
U. Lohmann
Institute for Atmospheric and Climate Science, ETH Zurich, Universitaetsstrasse 16, 8092 Zurich, Switzerland
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Cited
34 citations as recorded by crossref.
- Advanced Two-Moment Bulk Microphysics for Global Models. Part II: Global Model Solutions and Aerosol–Cloud Interactions* A. Gettelman et al. 10.1175/JCLI-D-14-00103.1
- Two‐Moment Bulk Cloud Microphysics With Prognostic Precipitation in GFDL's Atmosphere Model AM4.0: Configuration and Performance H. Guo et al. 10.1029/2020MS002453
- Performance of Two‐Moment Stratiform Microphysics With Prognostic Precipitation in GFDL's CM4.0 H. Guo et al. 10.1029/2022MS003111
- Short‐term time step convergence in a climate model H. Wan et al. 10.1002/2014MS000368
- Sensitivity of the total anthropogenic aerosol effect to the treatment of rain in a global climate model R. Posselt & U. Lohmann 10.1029/2008GL035796
- Microphysical process rates and global aerosol–cloud interactions A. Gettelman et al. 10.5194/acp-13-9855-2013
- Understanding the Importance of Microphysics and Macrophysics for Warm Rain in Marine Low Clouds. Part II: Heuristic Models of Rain Formation R. Wood et al. 10.1175/2009JAS3072.1
- Aerosol size-dependent below-cloud scavenging by rain and snow in the ECHAM5-HAM B. Croft et al. 10.5194/acp-9-4653-2009
- 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
- Prognostic precipitation with three liquid water classes in the ECHAM5–HAM GCM V. Sant et al. 10.5194/acp-15-8717-2015
- Global simulations of aerosol processing in clouds C. Hoose et al. 10.5194/acp-8-6939-2008
- Putting the clouds back in aerosol–cloud interactions A. Gettelman 10.5194/acp-15-12397-2015
- Snow-induced buffering in aerosol–cloud interactions T. Michibata et al. 10.5194/acp-20-13771-2020
- Cloud Process Coupling and Time Integration in the E3SM Atmosphere Model S. Santos et al. 10.1029/2020MS002359
- Impacts of cloud microphysics on trade wind cumulus: which cloud microphysics processes contribute to the diversity in a large eddy simulation? Y. Sato et al. 10.1186/s40645-015-0053-6
- Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. 10.1029/2018MS001596
- 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
- Marine Low Clouds and their Parameterization in Climate Models H. KAWAI & S. SHIGE 10.2151/jmsj.2020-059
- Evaporation of Nonequilibrium Raindrops as a Fog Formation Mechanism R. Tardif & R. Rasmussen 10.1175/2009JAS3149.1
- The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations D. Walters et al. 10.5194/gmd-10-1487-2017
- Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM Y. Imura & T. Michibata 10.1029/2022MS003046
- Effects of Cloud Liquid‐Phase Microphysical Processes in Mixed‐Phase Cumuli Over the Tibetan Plateau X. Xu et al. 10.1029/2020JD033371
- The Met Office Unified Model Global Atmosphere 4.0 and JULES Global Land 4.0 configurations D. Walters et al. 10.5194/gmd-7-361-2014
- Comparison of ice cloud properties simulated by the Community Atmosphere Model (CAM5) with in-situ observations T. Eidhammer et al. 10.5194/acp-14-10103-2014
- Evaluation of autoconversion schemes in a single model framework with satellite observations T. Michibata & T. Takemura 10.1002/2015JD023818-T
- The Met Office Unified Model Global Atmosphere 3.0/3.1 and JULES Global Land 3.0/3.1 configurations D. Walters et al. 10.5194/gmd-4-919-2011
- Advanced Two-Moment Bulk Microphysics for Global Models. Part I: Off-Line Tests and Comparison with Other Schemes A. Gettelman & H. Morrison 10.1175/JCLI-D-14-00102.1
- Numerical issues associated with compensating and competing processes in climate models: an example from ECHAM-HAM H. Wan et al. 10.5194/gmd-6-861-2013
- Reconciling Compensating Errors Between Precipitation Constraints and the Energy Budget in a Climate Model T. Michibata & K. Suzuki 10.1029/2020GL088340
- Importance of Minor‐Looking Treatments in Global Climate Models H. Kawai et al. 10.1029/2022MS003128
- 100 Years of Earth System Model Development D. Randall et al. 10.1175/AMSMONOGRAPHS-D-18-0018.1
- A single ice approach using varying ice particle properties in global climate model microphysics X. Zhao et al. 10.1002/2017MS000952
- Influence of Giant CCN on warm rain processes in the ECHAM5 GCM R. Posselt & U. Lohmann 10.5194/acp-8-3769-2008
32 citations as recorded by crossref.
- Advanced Two-Moment Bulk Microphysics for Global Models. Part II: Global Model Solutions and Aerosol–Cloud Interactions* A. Gettelman et al. 10.1175/JCLI-D-14-00103.1
- Two‐Moment Bulk Cloud Microphysics With Prognostic Precipitation in GFDL's Atmosphere Model AM4.0: Configuration and Performance H. Guo et al. 10.1029/2020MS002453
- Performance of Two‐Moment Stratiform Microphysics With Prognostic Precipitation in GFDL's CM4.0 H. Guo et al. 10.1029/2022MS003111
- Short‐term time step convergence in a climate model H. Wan et al. 10.1002/2014MS000368
- Sensitivity of the total anthropogenic aerosol effect to the treatment of rain in a global climate model R. Posselt & U. Lohmann 10.1029/2008GL035796
- Microphysical process rates and global aerosol–cloud interactions A. Gettelman et al. 10.5194/acp-13-9855-2013
- Understanding the Importance of Microphysics and Macrophysics for Warm Rain in Marine Low Clouds. Part II: Heuristic Models of Rain Formation R. Wood et al. 10.1175/2009JAS3072.1
- Aerosol size-dependent below-cloud scavenging by rain and snow in the ECHAM5-HAM B. Croft et al. 10.5194/acp-9-4653-2009
- 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
- Prognostic precipitation with three liquid water classes in the ECHAM5–HAM GCM V. Sant et al. 10.5194/acp-15-8717-2015
- Global simulations of aerosol processing in clouds C. Hoose et al. 10.5194/acp-8-6939-2008
- Putting the clouds back in aerosol–cloud interactions A. Gettelman 10.5194/acp-15-12397-2015
- Snow-induced buffering in aerosol–cloud interactions T. Michibata et al. 10.5194/acp-20-13771-2020
- Cloud Process Coupling and Time Integration in the E3SM Atmosphere Model S. Santos et al. 10.1029/2020MS002359
- Impacts of cloud microphysics on trade wind cumulus: which cloud microphysics processes contribute to the diversity in a large eddy simulation? Y. Sato et al. 10.1186/s40645-015-0053-6
- Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. 10.1029/2018MS001596
- 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
- Marine Low Clouds and their Parameterization in Climate Models H. KAWAI & S. SHIGE 10.2151/jmsj.2020-059
- Evaporation of Nonequilibrium Raindrops as a Fog Formation Mechanism R. Tardif & R. Rasmussen 10.1175/2009JAS3149.1
- The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations D. Walters et al. 10.5194/gmd-10-1487-2017
- Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM Y. Imura & T. Michibata 10.1029/2022MS003046
- Effects of Cloud Liquid‐Phase Microphysical Processes in Mixed‐Phase Cumuli Over the Tibetan Plateau X. Xu et al. 10.1029/2020JD033371
- The Met Office Unified Model Global Atmosphere 4.0 and JULES Global Land 4.0 configurations D. Walters et al. 10.5194/gmd-7-361-2014
- Comparison of ice cloud properties simulated by the Community Atmosphere Model (CAM5) with in-situ observations T. Eidhammer et al. 10.5194/acp-14-10103-2014
- Evaluation of autoconversion schemes in a single model framework with satellite observations T. Michibata & T. Takemura 10.1002/2015JD023818-T
- The Met Office Unified Model Global Atmosphere 3.0/3.1 and JULES Global Land 3.0/3.1 configurations D. Walters et al. 10.5194/gmd-4-919-2011
- Advanced Two-Moment Bulk Microphysics for Global Models. Part I: Off-Line Tests and Comparison with Other Schemes A. Gettelman & H. Morrison 10.1175/JCLI-D-14-00102.1
- Numerical issues associated with compensating and competing processes in climate models: an example from ECHAM-HAM H. Wan et al. 10.5194/gmd-6-861-2013
- Reconciling Compensating Errors Between Precipitation Constraints and the Energy Budget in a Climate Model T. Michibata & K. Suzuki 10.1029/2020GL088340
- Importance of Minor‐Looking Treatments in Global Climate Models H. Kawai et al. 10.1029/2022MS003128
- 100 Years of Earth System Model Development D. Randall et al. 10.1175/AMSMONOGRAPHS-D-18-0018.1
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