362: The cloud-climate feedback: Analysis in the Earth System Model

Principal investigator: Johannes Quaas

Universität Leipzig, Leipziger Institut für Meteorologie - LIM (Community project)

Project abstract

Report 1/2006 to 12/2006
Report 1/2008 to 12/2008
Report 1/2009 to 12/2009
Report 1/2010 to 12/2010
Report 1/2011 to 12/2011
Report 1/2012 to 12/2012
Report 1/2013 to 12/2013
Final report

Publications

• Weber, T., and J. Quaas, Incorporating the subgrid-scale variability of clouds in the autoconversion parameterization, J. Adv. Model. Earth Syst., 4, M11003, doi:10.1029/2012MS000156, 2012.
• Weber, T., J. Quaas, and P. Räisänen, Evaluation of the subgrid-scale variability scheme for water vapor and cloud condensate in the ECHAM5 model using satellite data, Q. J. R. Meteorol. Soc., 137, 2079-2091, doi:10.1002/qj.887, 2011.
• Schemann, V., and J. Quaas, Improving the representation of subgrid-scale variability of total water in GCMs., J. Adv. Model. Earth Syst., in revision.
• Schemann, V., B. Stevens, V. Grützun, and J. Quaas, Scale dependency of total water variance, and its implication for cloud parameterizations, J. Atmos. Sci., 70, 3615-3630, doi:10.1175/JAS-D-13-09.1, 2013.
• Quaas, J., Evaluating the "critical relative humidity" as a measure of subgrid-scale variability of humidity in general circulation model cloud cover parameterizations using satellite data, J. Geophys. Res., 117, D09208, doi:10.1029/2012JD017495, 2012.
• Nam, C., J. Quaas, R. Neggers, C. Siegenthaler-Le Drian, and F. Isotta, Evaluation of boundary layer cloud parameterizations in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data, J. Adv. Model. Earth Syst., 6, 300-314, doi:10.1002/2013MS000277, 2014.
• Nam, C., and J. Quaas, Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat , J. Clim., 25, 4975-4992, doi:10.1175/JCLI-D-11-00347.1, 2012.
• Grützun, V., J. Quaas, Felix Ament, und C. Morcrette, Evaluating statistical cloud schemes - what can we gain from ground based remote sensing?, J. Geophys. Res., in press, 2013.
• Schemann, V., B. Stevens, V. Grützun, und J. Quaas, Scale dependency of total water variance, and its implication for cloud parameterizations, J. Atmos. Sci., doi:10.1175/JAS-D-13-09.1, 2013.
• Schirber, S., D. Klocke, R. Pincus, J. Quaas, und J. Anderson, Parameter estimation using data assimilation in an atmospheric general circulation model: From a perfect towards the real world, J. Adv. Model. Earth Syst., 1942-2466, doi:10.1029/2012MS000167, 2013.
• Gehlot, S. and J. Quaas, Convection-climate feedbacks in ECHAM5 general circulation model: A Lagrangian trajectory perspective of cirrus cloud life cycle, J. Clim., 25, 5241-5259, doi:10.1175/JCLI-D-11-00345.1, 2012.
• Cherian, R., C. Venkataraman, S. Ramachandran, J. Quaas, and S. Kedia, Examination of aerosol distributions and radiative effects over the Bay of Bengal and the Arabian Sea region during ICARB using satellite data and a general circulation model, Atmos. C
• Nam, C. and J. Quaas, Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat, J. Clim., 25, 4975-4992, doi:10.1175/JCLI-D-11-00347.1, 2012.
• Peters, K., P. Stier, J. Quaas, and H. Graßl, Aerosol indirect effects from shipping emissions: Sensitivity studies with the global aerosol-climate model ECHAM-HAM, Atmos. Chem. Phys., 12, 5985-6007, doi:10.5194/acp-12-5985-2012, 2012.
• Quaas, J., Evaluating the "critical relative humidity" as a measure of subgrid-scale variability of humidity in general circulation model cloud cover parameterizations using satellite data, J. Geophys. Res., 117, D9, doi:10.1029/2012JD017495, 2012.
• Weber, T., and J. Quaas, Incorporating the subgrid-scale variability of clouds in the autoconversion parameterization, JAMES, in press, 2012.
• Schemann, V., B. Stevens, V. Grützun and J. Quaas, Evaluation of the scale dependency of GCM parameterisations of total-water subgrid scale variability, J. Atmos. Sci., in preparation
• Gehlot, S. and J. Quaas, Convection-climate feedbacks in ECHAM5 general circulation model: A Lagrangian trajectory perspective of cirrus cloud life cycle, J. Clim., in revision.
• Peters, K., J. Quaas, and H. Grassl, Small large-scale effect of ship emissions on clouds and radiation in satellite data, J. Geophys. Res., revised.
• Schirber, S., Parameter estimation in a general circulation model: From a perfect towards an imperfect world, Diplomarbeit, University of Hamburg, 44 pp., 2011.
• Weber, T., Impact of Inhomogeneities on non-linear Cloud Processes, Reports on Earth System Science, 89, Max Planck Institute for Meteorology, ISSN 1614-1199, 86pp, 2011.
• Cherian, R., C. Venkataraman, J. Quaas, and S. Ramachandran, GCM simulations of aerosol extinction, heating and effects on precipitation over India, Clim. Dyn., submitted (2012).
• Weber, T., J. Quaas, and P. Räisänen, Evaluation of the statistical cloud scheme in the ECHAM5 model using satellite data, Q. J. R. Meteorol. Soc., doi:10.1002/qj.887, 2011.
• Cherian, R., C. Venkataraman, S. Ramachandran, J. Quaas, and S. Kedia, Examination of aerosol distributions and radiative effects over the Bay of Bengal and the Arabian Sea region during ICARB using satellite data and a general circulation model, Atmos. C
• Klocke, D., Assessing the uncertainty in climate sensitivity, Reports on Earth System Science, 95, Max Planck Institute for Meteorology, ISSN 1614-1199, 95 pp., 2011.
• Klocke, D., R. Pincus, and J. Quaas, On constraining estimates of climate sensitivity with present-day observations through model weighting, J. Clim., doi:10.1175/2011JCLI4193.1, 2011.
• Nam, C. and J. Quaas, Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat, J. Clim., in revision.
• Nam, C., Using CALIPSO and CloudSat satellite retrievals to evaluate low-level cloud parameterizations in ECHAM5 for cloud-climate feedback implications, Reports on Earth System Science, 88, Max Planck Institute for Meteorology, ISSN 1614-1199, 132pp, 201
• Peters, K., Ship emission influence on clouds in satellite and model data, Doktorarbeit am Max-Planck-Institut für Meteorologie, eingereicht (2011).
• Quaas, J., et al., Interpreting the cloud cover – aerosol optical depth relationship found in satellite data using a general circulation model, Atmos. Chem. Phys., 10, 6129-6135, 2010
• Gehlot, S., Feedbacks between convection and climate: Analysis with global modeling and satellite observations, Reports on Earth System Science, No 81, Max Planck Institute for Meteologogy, Hamburg, 2010
• Quaas, J., B. Stevens, P. Stier, and U. Lohmann, Interpreting the cloud-cover – aerosol optical depth relationship found in satellite data using a general circulation model, Atmos. Chem. Phys., submitted (2009)
• Quaas, J., et al., Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data, Atmos. Chem. Phys. Discuss., 9, 12731-12779, 2009
• Quaas, J., O. Boucher, A. Jones, J. Kieser, and H. Joos, Exploiting the weekly cycle as observed over Europe to analyse aerosol indirect effects in two climate models, Atmos. Chem. Phys. Discuss., 9, 11269-11285, 2009d.
• Gehlot, S. and J. Quaas, ECHAM5 sensitivity runs for analysis of deep convective clouds using ISCCP simulator, EGU General Assembly, Vienna, 19 - 24 April 2009.
• Klocke, D., J. Quaas, and M. Giorgetta, Evaluating feedback factors in a GCM: focus on clouds, EGU General Assembly, Vienna, 19 - 24 April 2009.
• Klocke, D., J. Quaas, and M. Giorgetta, Climate sensitivity related to cloud processes in the general circulation model ECHAM5, AGU Fall Meeting, San Francisco, 15 - 19 December 2008.
• Weber, T. and J. Quaas, Evaluation of a statistical subgrid-scale variability scheme for water vapor and cloud condensate in a GCM using observational data, EGU General Assembly, Vienna, 19 - 24 April 2009.
• Nam, C. and J. Quaas, Implementation of the CALIPSO and CloudSat Satellite Simulator within the ECHAM5 GCM, EGU General Assembly, Vienna, 19 - 24 April 2009.
• Quaas, J., Y. Ming, S. Menon, T. Takemura, M. Wang, J. Penner, A. Gettelman, U. Lohmann, N. Bellouin, O. Boucher, A. M. Sayer, G. E. Thomas, A. McComiskey, G. Feingold, C. Hoose, J. E. Kristjánsson, X. Liu, Y. Balkanski, L. J. Donner, P. A. Ginoux, P. Sti
• Ringer et al., Global mean cloud feedbacks in idealized climate change experiments, Geophys. Res. Lett., 33, L07718, doi:10.1029/2005GL025370, 2006