Research Group
Clouds and Global Climate

Sie sprechen Deutsch? → Hier klicken!


Die The research group "Clouds and global climate" uses and analyses climate models and satellite observations for a better anderstanding of cloud-climate feedbacks and the effect of anthropogenic aerosols on clouds and climate.

Team


From outside the University, please add (0341) 97- as a prefix to the numbers. For international calls, please add +49 341 97-. The adress is Vor dem Hospitaltore 1 (first floor), D-04103 Leipzig Internal mail box no 232112; fax +49 341 97 31949

Scientific Staff


Name Room Phone E-Contact
 
Block, Karoline PhD Student 116r 32939 E-Mail, WWW
 
Can, Özge PhD Student 118r 32935 E-Mail, WWW
 
Cherian, Dr. Ribu Scientist 119r 32933 E-Mail, WWW
 
Goren, Dr. Tom Scientist 118r 32936 E-Mail, WWW
 
Gryspeerdt, Dr. Edward Scientist 118r 32935 E-Mail, WWW
 
Mülmenstädt, Dr. Johannes Scientist 117r 32937 E-Mail, WWW
 
Nair, Aswathy PhD Student 115r 32941 E-Mail, WWW
 
Nam, Dr. Christine Scientist in 118r 32935 E-Mail, WWW
 
Quaas, Prof. Johannes Professor 121r 32931, 32852 E-Mail, WWW
 
Salzmann, Dr. Marc Assistant professor 120r 32932 E-Mail, WWW
 
Sourdeval, Dr. Odran Scientist 117r 32938 E-Mail, WWW
 
Sudhakar, Dr. Dipu Scientist 119r 32934 E-Mail, WWW
 
Unglaub, Claudia PhD Student 116r 32940 E-Mail, WWW

Students


Name Room Phone E-Contact
 
 
Cremer, Roxana Student assistant   113r 32944  
 
Hörnig, Sabine Student assistant   113r 32944  
 
Jungandreas, Leonore Student assistant   113r 32944  
 
Kretzschmar, Jan Master's student   113r 32944  
 
Strehl, Pit Master's student   113r 32944  
 
Böhm, Christoph Master's student   113r 32944  
 
Hermes, Kilian Bachelor's student   113r 32944  
 
Metzner, Enrico Bachelor's student   113r 32944  
 
Sattig, Gabriel Bachelor's student   113r 32944  

Publications


  • Bellouin, N., L. Baker, Ø. Hodnebrog, D. Olivié, R. Cherian, C. Macintosh, B. Samset, A. Esteve, B. Aamaas, J. Quaas, and G. Myhre, Regional and seasonal radiative forcing by perturbations to aerosol and ozone precursor emissions, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-310. Quaas, M. F., J. Quaas, W. Rickels, and O. Boucher, Are there good reasons against research into solar radiation management?, J. Environ. Econ. Manage.

  • Quennehen, B., J.-C. Raut, K. S. Law, G. Ancellet, C. Clerbaux, S.-W. Kim, M. T. Land, G. Myhre, D. J. L. Olivié, S. Safieddine, R. B. Skeie, J. L. Thomas, S. Tsyro, A. Bazureau, N. Bellouin, N. Daskalakis, M. Hu, M. Kanakidou, Z. Klimont, K. Kupiainen, S. Myriokefalitakis, J. Quaas, S. T. Rumbold, M. Schulz, R. Cherian, A. Shimizu, J. Wang, S.-C. Yoon, and T. Zhu, Multi-model evaluation of short-lived pollutant distributions over East Asia during summer 2008, Atmos. Chem. Phys. Discuss., 15, 11049-11109, doi:10.5194/acpd-15-11049-2015.

  • Schemann, V., and J. Quaas, Improving the representation of subgrid-scale variability of total water in GCMs., J. Adv. Model. Earth Syst., in revision.

  • Schutgens, N.A.J., E. Gryspeerdt, N. Weigum, S. Tsyro, D. Goto, M. Schulz, and P. Stier, Will a perfect model agree with perfect observations? The impact of spatial sampling., Atmos. Chem. Phys. Discuss..

  • Sourdeval, O., L.-C. Labonnote, A. J. Baran, G. Brogniez, and J. Mülmenstädt, A methodology for simultaneous retrieval of ice and liquid water cloud properties. II: Global Retrievals and Comparisons to A-Train Products, Q. J. R. Meteorol. Soc..

  • 45.Gryspeerdt, E., J. Quaas, and N. Bellouin, Distinguishing the effect of aerosols on cloud fraction from meteorological covariations in statistical analyses of satellite data, J. Geophys. Res., submitted.

  • 44. Aswathy, V. N., O. Boucher, M. Quaas, U. Niemeier, H. Muri, J. Mülmenstädt, and J. Quaas, Climate extremes in multi-model simulations of stratospheric aerosol- and marine cloud brightening climate engineering, Atmos. Chem. Phys., 15, 9593-9610, doi:10.5194/acp-15-9593-2015, 2015.

    43. Baker, L. H., W. J. Collins, D. J. L. Olivié, R. Cherian, Ø. Hodnebrog, G. Myhre, and J. Quaas, Climate responses to anthropogenic emissions of short-lived climate pollutants, Atmos. Chem. Phys., 15, 8201-8216, doi:10.5194/acp-15-8201-2015, 2015.

    42. Eckhardt, S., B. Quennehen, D. J. L. Olivié, T. K. Berntsen, R. Cherian, J.H. Christensen, W. Collins, S. Crepinsek, N. Daskalakis, M. Flanner, A. Herber, C. Heyes, Ø. Hodnebrog, L. Huang, M. Kanakidou, Z. Klimont, J. Langner, K. S. Law, M. T. Land, R. Mahmood, A. Massling, S. Myriokefalitakis, I.E. Nielsen, J.K. N¸jgaard, J. Quaas, P.K. Quinn, J.-C. Raut, S. T. Rumbold, M. Schulz, S. Sharma, R. B. Skeie, H. Skov, T. Uttal, K. Salzen, and A. Stohl, Current model capabilities for simulating black carbon and sulfate concentrations in the Arctic atmosphere: a multi-model evaluation using a comprehensive measurement data set, Atmos. Chem. Phys., 15, 9413-9433, doi:10.5194/acp-15-9413-2015, 2015.

    41. Gryspeerdt, E., P. Stier, B. A. White, and Z. Kipling, Wet scavenging limits the detection of aerosol effects on precipitation, Atmos. Chem. Phys., 15, 7557-7570, doi:10.5194/acp-15-7557-2015, 2015.

    40. Mülmenstädt, J., O. Sourdeval, J. Delanoë, and J. Quaas, Frequency of occurrence of rain from liquid-, mixed- and ice-phase clouds derived from A-Train satellite retrievals, Geophys. Res. Lett., 42, 6502-6509, doi:10.1002/2015GL064604, 2015.

    39. Quaas, J., Approaches to observe effects of anthropogenic aerosols on clouds and radiation, Current Climate Change Reports, 1, 297-304, doi:10.1007/s40641-015-0028-0, 2015.

    38. Rosch, J., T. Heus, H. M. Brueck, M. Salzmann, J. Mülmenstädt, L. Schlemmer, and J. Quaas, Analysis of diagnostic climate model cloud parameterisations using large-eddy simulations, Q. J. R. Meteorol. Soc., 141, 2199-2205, doi:10.1002/qj.2515, 2015.

    37. Salzmann, M., and R. Cherian, On the enhancement of the Indian summer monsoon drying by Pacific multidecadal variability during the latter half of the 20th century, J. Geophys. Res. Atmos., 120, 9103-9118, doi:10.1002/2015JD023313, 2015.

    36. Stohl, A., B. Aamaas, M. Amann, L. H. Baker, N. Bellouin, T. K. Berntsen, O. Boucher, R. Cherian, W. Collins, N. Daskalakis, M. Dusinska, S. Eckhardt, J. S. Fuglestvedt, M. Harju, C. Heyes, Ø. Hodnebrog, J. Hao, U. Im, M. Kanakidou, Z. Klimont, K. Kupiainen, K. S. Law, M. T. Land, R. Maas, C. R. MacIntosh, G. Myhre, S. Myriokefalitakis, D. J. Olivié, J. Quaas, B. Quennehen, J.-C. Raut, S. Rumbold, B. H. Samset, M. Schulz, Ø. Seland, K. P. Shine, R. B. Skeie, S. Wang, K. E. Yttri, and T. Zhu, Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants, Atmos. Chem. Phys., 15, 10529-10566, doi:10.5194/acp-15-10529-2015, 2015.

    35. Cherian, R., J. Quaas, M. Salzmann, and M. Wild, Pollution trends over Europe constrain global aerosol forcing as simulated by climate models, Geophys. Res. Lett., 41, 2176-2181, doi:10.1002/2013GL058715, 2014.

    34. Ma, X., F. Yu, and J. Quaas, Reassessment of satellite-based estimate of aerosol-climate forcing, J. Geophys. Res., 119, 10394-10409, doi:10.1002/2014JD021670, 2014.

    33. Nam, C., J. Quaas, R. Neggers, C. Siegenthaler-Le Drian, and F. Isotta, Evaluation of boandary 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.

    32. Peters, K., J. Quaas, P. Stier, and H. Graßl, Processes limiting the emergence of detectable aerosol indirect effects on tropical warm clouds in global aerosol-climate model and satellite data, Tellus B, 66, 24054, doi:10.3402/tellusb.v66.24054, 2014.

    31. Rosenfeld, D., M. O. Andreae, A. Asmi, M. Chin, G. Leeuw, D. P. Donovan, R. Kahn, S. Kinne, N. Kivekäs, M. Kulmala, W. Lau, S. Schmidt, T. Suni, T. Wagner, M. Wild, and J. Quaas, Global observations of aerosol-cloud-precipitation-climate interactions, Reviews Geophys., 52, 750-808, doi:10.1002/2013RG000441, 2014.

    30. Salzmann, M., H. Weser, and R. Cherian, Robust response of Asian summer monsoon to anthropogenic aerosols in CMIP5 models, J. Geophys. Res. Atmos., 119, 11321â, doi:10.1002/2014JD021783, 2014.

    29. Sourdeval, O., L.-C. Labonnote, A. J. Baran, and G. Brogniez, A methodology for simultaneous retrieval of ice and liquid water cloud properties. I: Information content and case study, Q. J. R. Meteorol. Soc., doi:10.1002/qj.2405, 2014.

    28. Yano, J.-I., J.-F. Geleyn, M. Köhler, D. Mironov, J. Quaas, P. Soares, V. T. J. Phillips, R. S. Plant, A. Deluca, P. Marquet, L. Stulic, and Z. Fuchs, Basic concepts for convection parameterization in weather forecast and climate models: COST Action ES0905 final report, Atmosphere, 6, 88-147, doi:10.3390/atmos6010088, 2014.

    27. Bellouin, N., J. Quaas, J.-J. Morcrette, and O. Boucher, Estimates of aerosol radiative forcing from the MACC re-analysis, Atmos. Chem. Phys., 13, 2045-2062, doi:10.5194/acp-13-2045-2013, 2013.

    26. Block, K., and T. Mauritsen, Feedback and Forcing in the MPI-ESM-LR coupled model ander abruptly quadrupled CO2, J. Adv. Model. Earth Syst., 5, doi:10.1002/jaime20041, 2013.

    25. Boucher, O., and J. Quaas, Water vapour affects both rain and aerosol optical depth, Nature Geosci., 6, 4-5, doi:10.1038/ngeo1692, 2013.

    24. Cherian, R., C. Venkataraman, J. Quaas, and S. Ramachandran, GCM simulations of aerosol extinction, heating and effects on precipitation over India, J. Geophys. Res., 118, 2938-2955, doi:10.1002/jgrd.50298, 2013.

    23. Grützun, V., J. Quaas, Felix Ament, and C. Morcrette, Evaluating statistical cloud schemes - what can we gain from groand based remote sensing?, J. Geophys. Res., 118, 10507-10517, doi:10.1002/jgrd.50813, 2013.

    22. Klocke, D., J. Quaas, and B. Stevens, Assessment of different metrics for physical climate feedbacks, Clim. Dyn., 41, 1173-1185, doi:10.1007/s00382-013-1757-1, 2013.

    21. Nam, C., and J. Quaas, Geographical versus dynamically defined boandary layer cloud regimes and their use to evaluate general circulation model cloud parameterisations, Geophys. Res. Lett., 40, 4951-4956, doi:10.1002/grl.50945, 2013.

    20. Randles, C. A., S. Kinne, G. Myhre, M. Schulz, P. Stier, J. Fischer, L. Doppler, E. Highwood, C. Ryder, B. Harris, J. Huttunen, Y. Ma, R. T. Pinker, B. Mayer, D. Neubauer, R. Hitzenberger, L. Oreopoulos, D. Lee, G. Pitari, G. Di Genova, J. Quaas, F. G. Rose, S. Kato, S. T. Rumbold, I. Vardavas, N. Hatzianastassiou, C. Matsoukas, H. Yu, H. Zhang, and P. Lu, Intercomparison of shortwave radiative transfer schemes in global aerosol modeling: Results from the AeroCom Radiative Transfer Experiment, Atmos. Chem. Phys., 13, 2347-2379, doi:10.5194/acp-13-2347-2013, 2013.

    19. Rennó, N. O., E. Williams, D. Rosenfeld, D. G. Fischer, J. Fischer, T. Kremic, A. Agrawal, M. O. Andreae, R. Bierbaum, R. Blakeslee, A. Boerner, N. Bowles, H. Christian, A. Cox, J. Dunion, Á. Horváth, X. Huang, A. Khain, S. Kinne, M. C. Lemos, J. Penner, U. Pöschl, J. Quaas, E. Seran, B. Stevens, T. Walati, and T. Wagner, CHASER: An Innovative Satellite Mission Concept to Measure the Effects of Aerosols on Clouds and Climate, Bull. Amer. Meteor. Soc., 94, 685-694, doi:10.1175/BAMS-D-11-00239, 2013.

    18. 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.

    17. Schirber, S., D. Klocke, R. Pincus, J. Quaas, and 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., 5, 58-70, doi:10.1029/2012MS000167, 2013.

    16. Stevens, B., M. Giorgetta, M. Esch, T. Mauritsen, T. Crueger, S. Rast, M. Salzmann, H. Schmidt, J. Bader, K. Block, R. Brokopf, I. Fast, S. Kinne, L. Kornblueh, U. Lohmann, R. Pincus, R. Reichler, and E. Roeckner, Atmospheric component of the MPI-M Earth System Model: ECHAM6, J. Adv. Model. Earth Syst., 5, 146-172, doi:10.1002/jame.20015, 2013.

    15. Tomassini, L., O. Geoffroy, J.-L. Dufresne, A. Idelkadi, C. Cagnazzo, K. Block, T. Mauritsen, M. Giorgetta, and J. Quaas, The respective roles of surface temperature driven feedbacks and tropospheric adjustment to CO2 in CMIP5 transient climate simulations, Clim. Dyn., 41, 3103-3126, doi:10.1007/s00382-013-1682-3, 2013.

    14. 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. Chem. Phys., 12, 1287-1305, doi:10.5194/acp-12-1287-2012, 2012.

    13. Devasthale, A., K. Karlsson, J. Quaas, and H. Graßl, Correcting orbital drift signal in the time series of AVHRR derived convective cloud fraction using rotated empirical orthogonal function, Atmos. Meas. Tech., 5, 267-273, doi:10.5194/amt-5-267-2012, 2012.

    12. 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.

    11. 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.

    10. 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.

    9. 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.

    8. Sanchez-Lorenzo, A., P. Laux, H.-J. Hendricks-Franssen, A. K. Georgoulias, J. Calbó, S. Vogl, and J. Quaas, Assessing large-scale weekly cycles in meteorological variables: a review, Atmos. Chem. Phys., 12, 5755-5771, doi:10.5194/acp-12-5755-2012, 2012.

    7. 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.

    6. Zhang, K., D. O'Donnell, J. Kazil, P. Stier, S. Kinne, U. Lohmann, S. Ferrachat, B. Croft, J. Quaas, H. Wan, S. Rast, and J. Feichter, The global aerosol-climate model ECHAM5-HAM, version 2: sensitivity to improvements in process representations, Atmos. Chem. Phys., 12, 8911-8949, doi:10.5194/acp-12-8911-2012, 2012.

    5. Zygmuntowska, M., T. Mauritsen, J. Quaas, and L. Kaleschke, Artcic clouds and surface radiation - a critical comparison of satellite retrievals and the ERA-INTERIM reanalysis, Atmos. Chem. Phys., 12, 6667-6677, doi:10.5194/acp-12-6667-2012, 2012.

    4. Klocke, D., R. Pincus, and J. Quaas, On constraining estimates of climate sensitivity with present-day observations through model weighting, J. Clim., 24, 6092-6099, doi:10.1175/2011JCLI4193.1, 2011.

    3. Peters, K., J. Quaas, and H. Graßl, A search for large-scale effects of ship emissions on clouds and radiation in satellite data, J. Geophys. Res., 116, D24205, doi:10.1029/2011JD016531, 2011.

    2. Quaas, J., O. Boucher, N. Bellouin, and S. Kinne, Which of satellite- or model-based estimates is closer to reality for aerosol indirect forcing? - Reply to Penner et al., Proc. Nat. Acad. Sci. USA, 108, E1099, doi:10.1073/pnas.1114634108, 2011.

    1. 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.

    Projects

    ERC Starting Grant Quantifying Aerosol-Cloud-Climate Effects by Regime (QUAERERE)


    Quantification of the radiative forcing by the effect of anthropogenic aerosols on clouds, using statistical analysis of satellite data and using climate modelling

    Learning about cloud brightening: When and how to do experiments (LEAC), DFG-Schwerpunkt-programm 1689 Climate Engineering: Risks, Challenges, Opportunities?


    Analysis of satellite data and model results to assess the size in space and time of a potential field experiment needed for statistically significant results on the effectiveniss of cloud seeding for climate mitigation.
    Partners: Group of Environmental, Resource and Ecological Economics at the Christian-Albrechts-University Kiel.

    BMBF project High Definition Clouds and Climate for Advancing Climate Prediction (HD(CP)2)


    Main contributions: Synchronising model and observational data for full-domain observations; Application of these data for climate model parameterisation evaluation; Use of HD(CP)2 data to evaluate and develop statistical cloud schemes.
    Main Partners: Max Planck Institute for Meteorology, Hamburg; Institute for Geophysics and Meteorology, University of Cologne; Meteorological Institute, University of Bonn; Institute for Space Studies, Free University Berlin; Leibniz-Institute for Tropospheric Research, Leipzig

    Past projects

    EU FP7-Project Monitoring Atmospheric Composition and Climate - Interim Implementation (MACC-II)


    Main task: monitoring of aerosol direct and indirect radiative forcings, based on assimilated aerosol fields in the ECMWF IFS model.
    Main Partners: ECMWF, Reading, UK; University Reading, UK; LMD/CNRS, Paris, France

    EU FP7-Project Evaluating the CLimate and Air Quality ImPacts of Short-livEd Pollutants (ECLIPSE)


    Main task: Assessing climate impacts of emission cuts for short-lived pollutants, in particular black carbon in the context of the coupled climate system and evaluation using historical observations.
    Main Partners: UK Met Office, Exeter, UK; Norwegian Institute for Air Research, Kjeller, Norwegen

    COST Activity ES0905 Basic concepts for convection parameterization in weather forecast and climate models


    Main contribution: Vice chair, Co-leader of Working group 4 "Physics and Observations"

    Theses