Research Group
Clouds and Global Climate

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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, Dr. Karoline Scientist 116r 32939 E-Mail, WWW
 
Cherian, Dr. Ribu Scientist 119r 32933 E-Mail, WWW
 
Haghighatnasab, Mahnoosh PhD candidate 118r 32936 E-Mail
 
Hörnig, Sabine PhD candidate 118r 32935 E-Mail
 
Kretzschmar, Jan PhD candidate 115r 32941 E-Mail, WWW
 
Linke, Olivia PhD candidate 117r 32938 E-Mail
 
Metzner, Enrico PhD candidate 116r 32940 E-Mail
 
Papakonstantinou-Presvelou, Iris PhD candidate 117r 32937 E-Mail, WWW
 
Quaas, Prof. Johannes Professor 121r 32931, 32852 E-Mail, WWW
 
Salzmann, Dr. Marc Research Associate 120r 32932 E-Mail, WWW
 
Sudhakar, Dr. Dipu Scientist 119r 32934 E-Mail, WWW
 


Publications


Bellouin, N., William H. Davies, K. P. Shine, J. Quaas, J. Mülmenstädt, P. M. Forster, Christopher Smith, Lindsay Lee, Leighton Regayre, Guy Brasseur, Natalia Sudarchikova, Idir Bouarar, O. Boucher, and G. Myhre, Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition, Earth Syst. Sci. Data Discuss, submitted, doi:10.5194/essd-2019-251.

Dipu S., , J. Quaas, Martin Quaas, W. Rickels, J. Mülmenstädt, and O. Boucher, Regional climate engineering: Climate response outside the target area, Earth's Future, submitted.

Ganske, Anette, Daniel Heydebreck, Heinke Höck, Angelina Kraft, and J. Quaas, A Short Guide to Increase FAIRness of Atmospheric Model Data, Meteorol. Z., submitted.

Quaas, J., A. Arola, B. Cairns, M. Christensen, Hartwig Deneke, A. M. L. Ekman, G. Feingold, A. Fridlind, Edward Gryspeerdt, O. Hasekamp, Zhanqing Li, A. Lipponen, P.-L. Ma, J. Mülmenstädt, Athanasios Nenes, J. Penner, D. Rosenfeld, R. Schrödner, K. Sinclair, Odran Sourdeval, P. Stier, M. Tesche, B. Van Diedenhoven, and Manfred Wendisch, Constraining the Twomey effect from satellite observations: Issues and perspectives, Atmos. Chem. Phys. Discuss., in review, doi:10.5194/acp-2020-279.

115. Bellouin, N., J. Quaas, Edward Gryspeerdt, S. Kinne, P. Stier, D Watson-Parris, O. Boucher, K.S. Carslaw, M. Christensen, A.-L. Daniau, J.-L. Dufresne, G. Feingold, S. Fiedler, Piers Forster, A. Gettelman, J. M. Haywood, F. Malavelle, U. Lohmann, T. Mauritsen, D.T. McCoy, G. Myhre, J. Mülmenstädt, D. Neubauer, A. Possner, M. Rugenstein, Y. Sato, M. Schulz, S. E. Schwartz, Odran Sourdeval, T. Storelvmo, V. Toll, D. Winker, and B. Stevens, Bounding global aerosol radiative forcing of climate change, Rev. Geophys., 58, e2019RG000660, doi:10.1029/2019RG000660, 2020.

114. Block, Karoline, F. A. Schneider, J. Mülmenstädt, M. Salzmann, and J. Quaas, Climate models disagree on the sign of total radiative feedback in the Arctic, Tellus A, 72, 1-14, doi:10.1080/16000870.2019.1696139, 2020.

113. Cherian, R., and J. Quaas, Trends in AOD, clouds and cloud radiative effects in satellite data and CMIP5 and CMIP6 model simulations over aerosol source regions, Geophys. Res. Lett., 47, e2020GL087132, doi:10.1029/2020GL087132, 2020.

112. Costa-Surós, Montserrat, Odran Sourdeval, Claudia Acquistapace, H. Baars, C. Carbajal Henken, Christa Genz, Jonas Hesemann, Cristofer Jimenez, Marcel König, Jan Kretzschmar, Nils Madenach, C. I. Meyer, R. Schrödner, Patrick Seifert, Fabian Senf, Matthias Brueck, Guido Cioni, Jan Frederik Engels, Kerstin Fieg, K. Gorges, Rieke Heinze, Pavan Kumar Siligam, Ulrike Burkhardt, Susanne Crewell, Corinna Hoose, Axel Seifert, Ina Tegen, and J. Quaas, Detection and attribution of aerosol-cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model, Atmos. Chem. Phys., 20, 5657-5678, doi:10.5194/acp-20-5657-2020, 2020.

111. Gryspeerdt, Edward, J. Mülmenstädt, A. Gettelman, Florent F. Malavelle, Hugh Morrison, D. Neubauer, D. G. Partridge, P. Stier, T. Takemura, Hailong Wang, M. Wang, and K. Zhang, Surprising similarities in model and observational aerosol radiative forcing estimates, Atmos. Chem. Phys., 20, 613-623, doi:10.5194/acp-20-613-2020, 2020.

110. Lauer, M., Karoline Block, M. Salzmann, and J. Quaas, CO2-forced changes of Arctic temperature lapse-rates in CMIP5 models, Met. Z., 29, 79-93, doi:10.1127/metz/2020/0975, 2020.

109. Metzner, E. P., M. Salzmann, and R. Gerdes, Arctic Ocean surface energy flux and the cold halocline in future climate projections, J. Geophys. Res. Oceans, in press, doi:10.1029/2019JC015554, 2020.

108. Mülmenstädt, J., C. Nam, M. Salzmann, Jan Kretzschmar, Tristan S. L'Ecuyer, U. Lohmann, P.-L. Ma, G. Myhre, D. Neubauer, P. Stier, K. Suzuki, M. Wang, and J. Quaas, Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes, Science Adv., accepted, 2020.

107. Stevens, B., Claudia Acquistapace, Akio Hansen, Rieke Heinze, Carolin Klinger, Daniel Klocke, Wiebke Schubotz, Julia Windmiller, Panagiotis Adamidis, Ioanna Arka, Vasileios Barlakas, Joachim Biercamp, Matthias Brueck, Sebastian Brune, Stefan Buehler, Ulrike Burkhardt, Guido Cioni, Montserrat Costa-Surós, Susanne Crewell, T. Crueger, Hartwig Deneke, Petra Friederichs, Cintia Carbajal Henken, Cathy Hohenegger, Marek Jacob, Fabian Jakub, Norbert Kalthoff, M. Köhler, Thirza W. Van Laar, Puxi Li, Ulrich Löhnert, Andreas Macke, Nils Madenach, Bernhard Mayer, C. Nam, Ann Kristin Naumann, Karsten Peters, Stefan Poll, J. Quaas, Niklas Röber, Nicolas Rochetin, Harald Rybka, Leonhard Scheck, Vera Schemann, Sabrina Schnitt, Axel Seifert, Fabian Senf, Metodija Shapkalijevski, Clemens Simmer, Shweta Singh, Odran Sourdeval, Dela Spickermann, Johan Strandgren, Octave Tessiot, Nikki Vercauteren, Jessica Vial, Aiko Voigt, and Günter Zängl, Large-eddy and storm resolving models for climate prediction - the added value for clouds and precipitation, J. Meteorol. Soc. Japan, 98, doi:10.2151/jmsj. 2020-021, 2020.

106. Unglaub, Claudia, Karoline Block, J. Mülmenstädt, Odran Sourdeval, and J. Quaas, A new classification of satellite derived liquid water cloud regimes at cloud scale, Atmos. Chem. Phys., 20, 2407-2418, doi:10.5194/acp-20-2407-2020, 2020.

105. Von Savigny, Christian, Claudia Timmreck, Stefan A. Buehler, John P. Burrows, Marco Giorgetta, Gabriele Hegerl, Akos Horváth, Gholam Ali Hoshyaripour, Corinna Hoose, J. Quaas, Elizaveta Malinina, Alexei Rozanov, Hauke Schmidt, Larry Thomason, Matthew Toohey, and Bernhard Vogel, The Research Unit VolImpact: Revisiting the volcanic impact on atmosphere and climate - preparations for the next big volcanic eruption, Meteorol. Z., 29, 3-18, doi:10.1127/metz/2019/0999, 2020.

104. Aas, W., Augustin Mortier, Van Bowersox, R. Cherian, G. Faluvegi, Hilde Fagerli, Jenny Hand, Z. Klimont, Corinne Galy-Lacaux, Christopher M. B. Lehmann, Catherine Lund Myhre, G. Myhre, D. Olivié, Keiichi Sato, J. Quaas, P. S. P. Rao, M. Schulz, D. Shindell, R. B. Skeie, Ariel Stein, T. Takemura, S Tsyro, Robert Vet, and Xiaobin Xu, Global and regional trends of atmospheric sulfur, Sci. Rep., 9, 953, doi:10.1038/s41598-018-37304-0, 2019.

103. Böhm, Christoph, Odran Sourdeval, J. Mülmenstädt, J. Quaas, and Susanne Crewell, Cloud base height retrieval from multi-angle satellite data, Atmos. Meas. Tech., 12, 1841-1860, doi:10.5194/amt-12-1841-2019, 2019.

102. Gryspeerdt, Edward, T. Goren, Odran Sourdeval, J. Quaas, J. Mülmenstädt, Dipu S., Claudia Unglaub, A. Gettelman, and M. Christensen, Constraining the aerosol influence on cloud liquid water path, Atmos. Chem. Phys., 19, 5331-5347, doi:10.5194/acp-19-5331-2019, 2019.

101. Hasekamp, O., Edward Gryspeerdt, and J. Quaas, Analysis of polarimetric satellite measurements suggests stronger cooling due to aerosol-cloud interactions, Nature Comm., 10, 5405, doi:10.1038/s41467-019-13372-2, 2019.

100. Hutchison, Keith, B. Iisager, Dipu S., X. Jiang, J. Quaas, and R. Markwardt, Evaluating WRF Cloud Forecasts with VIIRS Imagery and Derived Cloud Products, Atmosphere, 10, 521, doi:10.3390/atmos10090521, 2019.

99. Jia, Hailing, X. Ma, J. Quaas, Yan Yin, and Tom Qiu, Is the positive correlation between cloud droplet effective radius and aerosol optical depth over land due to retrieval artifacts or real physical processes?, Atmos. Chem. Phys., 19, 8879-8896, doi:10.5194/acp-19-8879-2019, 2019.

98. Kretzschmar, Jan, M. Salzmann, J. Mülmenstädt, and J. Quaas, Arctic cloud cover bias in ECHAM6 and its sensitivity to cloud microphysics and surface fluxes, Atmos. Chem. Phys., 19, 10571-10589, doi:10.5194/acp-19-10571-2019, 2019.

97. Mauritsen, T., J. Bader, T. Becker, J. Behrens, M. Bittner, R. Brokopf, V. Brovkin, M. Claussen, T. Crueger, M. Esch, I. Fast, S. Fiedler, D. Flaeschner, V. Gayler, M.A. Giorgetta, D.S. Goll, H. Haak, S. Hagemann, C. Hedemann, Cathy Hohenegger, T. Ilyina, T. Jahns, D. Jimenez de la Cuesta Otero, J. Jungclaus, T. Kleinen, S. Kloster, D. Kracher, S. Kinne, D. Kleberg, G. Lasslop, L. Kornblueh, J. Marotzke, D. Matei, K. Meraner, U. Mikolajewicz, K. Modali, B. Moebis, W. A. Mueller, J. Nabel, C. Nam, D. Notz, S.-S. Nyawira, H. Paulsen, Karsten Peters, R. Pincus, H. Pohlmann, J. Pongratz, M. Popp, T. Raddatz, S. Rast, R. Redler, C. Reick, T. Rohrschneider, Vera Schemann, Hauke Schmidt, R. Schnur, U. Schulzweida, K.D. Six, L. Stein, I. Stemmler, B. Stevens, J.S. Storch, F. Tian, Aiko Voigt, P. Vrese, K.-H. Wieners, S. Wilkenskjeld, A. Winkler, and E. Roeckner, Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and its response to increasing CO2, J. Adv. Model. Earth Syst., 11, 998-1038, doi:10.1029/2018MS001400, 2019.

96. Mülmenstädt, J., Edward Gryspeerdt, M. Salzmann, P.-L. Ma, Sudhakar Dipu, and J. Quaas, Separating radiative forcing by aerosol-cloud interactions and fast cloud adjustments in the ECHAM-HAMMOZ aerosol-climate model using the method of partial radiative perturbations, Atmos. Chem. Phys., 19, 15415-15429, doi:10.5194/acp-19-15415-2019, 2019.

95. Richardson, T., Piers Forster, Christopher Smith, Amanda Maycock, Thomas Wood, T. Andrews, O. Boucher, G. Faluvegi, D. Fläschner, Ø. Hodnebrog, M. Kasoar, A. Kirkevåg, J.-F. Lamarque, J. Mülmenstädt, G. Myhre, D. Olivié, Robert Portmann, Bjørn Samset, Dilshad Shawki, D. Shindell, P. Stier, T. Takemura, A. Voulgarakis, and D Watson-Parris, Efficacy of climate forcings in PDRMIP models, J. Geophys. Res., 124, doi:10.1029/2019JD030581, 2019.

94. Schacht, J., Bernd Heinold, J. Quaas, J. Backman, R. Cherian, André Ehrlich, Andreas Herber, W. T. K. Huang, Y. Kondo, A. Massling, P. R. Sinha, B. Weinzierl, Marco Zanatta, and Ina Tegen, The importance of the representation of air pollution emissions for the modeled distribution and radiative effects of black carbon in the Arctic, Atmos. Chem. Phys., 19, 11159-11183, doi:10.5194/acp-19-11159-2019, 2019.

93. Toll, V., M. Christensen, J. Quaas, and N. Bellouin, Weak average liquid-cloud-water response to anthropogenic aerosols, Nature, 572, 51-55, doi:10.1038/s41586-019-1423-9, 2019.

92. Wendisch, Manfred, Andreas Macke, André Ehrlich, Christof Lüpkes, Mario Mech, Dmitry Chechin, Carola Barrientos, Heiko Bozem, Marlen Brückner, Hans-Christian Clemen, Susanne Crewell, Tobias Donth, Regis Dupuy, Kerstin Ebell, Ulrike Egerer, Ronny Engelmann, Christa Engler, Oliver Eppers, Martin Gehrmann, Xianda Gong, Matthias Gottschalk, Christophe Gourbeyre, Hannes Griesche, Jörg Hartmann, Markus Hartmann, Andreas Herber, Hartmut Herrmann, Georg Heygster, Peter Hoor, Soheila Jafariserajehlou, Evelyn Jäkel, Emma Järvinen, Olivier Jourdan, Udo Kästner, Simonas Kecorius, Erlend Moster Knudsen, Franziska Köllner, Jan Kretzschmar, Luca Lelli, Delphine Leroy, Marion Maturilli, Linlu Mei, Stephan Mertes, Guillaume Mioche, Roland Neuber, Marcel Nicolaus, Tatiana Nomokonova, Justus Notholt, Mathias Palm, Manuela Pinxteren, J. Quaas, Philipp Richter, Elena Ruiz-Donoso, Michael Schäfer, Katja Schmieder, Martin Schnaiter, Johannes Schneider, Alfons Schwarzenböck, Patrick Seifert, Matt D. Shupe, Holger Siebert, Gunnar Spreen, Johannes Stapf, Frank Stratmann, Teresa Vogl, André Welti, Heike Wex, Alfred Wiedensohler, Marco Zanatta, Sebastian Zeppenfeld, Klaus Dethloff, and Bernd Heinold, The Arctic Cloud Puzzle: Using ACLOUD/PASCAL Multi-Platform Observations to Unravel the Role of Clouds and Aerosol Particles in Arctic Amplification, Bull. Amer. Meteorol. Soc, 100, 841-871, doi:10.1175/BAMS-D-18-0072.1, 2019.

91. Baran, A. J., H. Ishimoto, Odran Sourdeval, Evelyn Hesse, and C. Harlow, The applicability of physical optics in the millimetre and sub-millimetre spectral region. Part II: Application to a three-component model of ice cloud and its evaluation against the bulk single-scattering properties of various other aggregate models, J. Quant. Spectrosc. and Radiat. Transf., 206, 83-100, doi:10.1016/j.jqsrt.2017.10.027, 2018.

90. Crueger, T., M.A. Giorgetta, R. Brokopf, M. Esch, S. Fiedler, Cathy Hohenegger, L. Kornblueh, T. Mauritsen, C. Nam, Ann Kristin Naumann, Karsten Peters, S. Rast, E. Roeckner, M. Sakradzija, Hauke Schmidt, Jessica Vial, R. Vogel, and B. Stevens, ICON-A, the atmospheric component of the ICON Earth System Model. Part II: Model Evaluation, J. Adv. Model. Earth Syst., 10, 1638-1662, doi:10.1029/2017MS001233, 2018.

89. Fauchez, T., S. Platnick, Odran Sourdeval, C. Wang, K. Meyer, C. Cornet, and F. Szczap, Cirrus horizontal heterogeneity and 3D radiative effects on cloud optical property retrievals from MODIS near to thermal infrared channels as a function of spatial resolution, J. Geophys. Res. Atmos., 19, 11141-11153, doi:10.1029/2018JD028726, 2018.

88. Giorgetta, M.A., R. Brokopf, T. Crueger, M. Esch, S. Fiedler, J. Helmert, Cathy Hohenegger, L. Kornblueh, M. Koehler, E. Manzini, T. Mauritsen, C. Nam, S. Rast, C. Reick, D. Reinert, M. Sakradzija, Hauke Schmidt, R. Schnur, L. Silvers, H. Wan, G. Zaengl, and B. Stevens, ICON-A, the atmospheric component of the ICON Earth System Model. Part I: Model Description, J. Adv. Model. Earth Syst., 10, 1613-1637, doi:10.1029/2017MS001242, 2018.

87. Goren, T., D. Rosenfeld, Odran Sourdeval, and J. Quaas, Satellite observations of precipitating marine stratocumulus show greater cloud fraction for decoupled clouds in comparison to coupled clouds, Geophys. Res. Lett., 45, 5126-5134, doi:10.1029/2018GL078122, 2018.

86. Grosvenor, D. P., Odran Sourdeval, P. Zuidema, A. Ackerman, M. D. Alexandrov, R. Bennartz, R. Boers, B. Cairns, C. Chiu, M. Christensen, Hartwig Deneke, M. Diamond, G. Feingold, A. Fridlind, A. Hünerbein, C. Knist, P. Kollias, A. Marshak, D. McCoy, D. Merk, D. Painemal, J. Rausch, D. Rosenfeld, H. Russchenberg, Patrick Seifert, K. Sinclair, P. Stier, B. Van Diedenhoven, Manfred Wendisch, F. Werner, R. Wood, Z. Zhang, and J. Quaas, Remote sensing of cloud droplet number concentration in warm clouds: A review of the current state of knowledge and perspectives, Rev. Geophys., 56, 409-453, doi:10.1029/2017RG000593, 2018.

85. Grosvenor, D. P., Odran Sourdeval, and R. Wood, Parameterizing cloud top effective radii from satellite retrieved values, accounting for vertical photon transport: quantification and correction of the resulting bias in droplet concentration and liquid water path retrievals, Atmos. Meas. Tech. Discuss., 11, 4273-4289, doi:10.5194/amt-11-4273-2018, 2018.

84. Gryspeerdt, Edward, J. Quaas, T. Goren, Daniel Klocke, and Matthias Brueck, An automated cirrus classification, Atmos. Chem. Phys., 18, 6157-6169, doi:10.5194/acp-18-6157-2018, 2018.

83. Gryspeerdt, Edward, Odran Sourdeval, J. Quaas, J. Delanoë, and Philipp Kühne, Ice crystal number concentration estimates from lidar-radar satellite retrievals. Part 2: Controls on the ice crystal number concentration, Atmos. Chem. Phys., 18, 14351-14370, doi:10.5194/acp-18-14351-2018, 2018.

82. Ma, X., Hailing Jia, F. Yu, and J. Quaas, Opposite aerosol index-cloud droplet effective radius correlations over major industrial regions and their adjacent oceans, Geophys. Res. Lett., 45, 5771-5778, doi:10.1029/2018GL077562, 2018.

81. Mülmenstädt, J., and G. Feingold, The radiative forcing of aerosol-cloud interactions in liquid clouds: Wrestling and embracing uncertainty, Curr. Clim. Change Rep., 4, 23-40, doi:10.1007/s40641-018-0089-y, 2018.

80. Mülmenstädt, J., Odran Sourdeval, David S. Henderson, Tristan S. L'Ecuyer, Claudia Unglaub, Leonore Jungandreas, Christoph Böhm, L. M. Russell, and J. Quaas, Using CALIOP to estimate cloud-field base height and its uncertainty: The Cloud Base Altitude Spatial Extrapolator (CBASE) algorithm and dataset, Earth Syst. Sci. Data, 10, 2279-2293, doi:10.5194/essd-10-2279-2018, 2018.

79. Nam, C., Philipp Kühne, M. Salzmann, and J. Quaas, A prospectus for constraining rapid adjustments in general circulation models, J. Adv. Model. Earth Syst., 10, 2080-2094, doi:10.1029/2017MS001153, 2018.

78. Petersik, P., M. Salzmann, Jan Kretzschmar, R. Cherian, D. Mewes, and J. Quaas, Subgrid-scale variability of clear-sky relative humidity and forcing by aerosol-radiation interactions in an atmosphere model, Atmos. Chem. Phys., 18, 8589-8599, doi:10.5194/acp-18-8589-2018, 2018.

77. Smith, C. J., R. J. Kramer, G. Myhre, P. M. Forster, B. J. Soden, T. Andrews, O. Boucher, G. Faluvegi, D. Fläschner, Ø. Hodnebrog, M. Kasoar, V. Kharin, A. Kirkevåg, J.-F. Lamarque, J. Mülmenstädt, D. Olivié, T. Richardson, B. H. Samset, D. Shindell, P. Stier, T. Takemura, A. Voulgarakis, and D Watson-Parris, Understanding rapid adjustments to diverse forcing agents, Geophys. Res. Lett., 45, 12023-12031, doi:10.1029/2018GL079826, 2018.

76. Sourdeval, Odran, Edward Gryspeerdt, M. Krämer, T. Goren, J. Delanoë, A. Afchine, F. Hemmer, and J. Quaas, Ice crystal number concentration estimates from lidar-radar satellite remote sensing. Part 1: Method and evaluation, Atmos. Chem. Phys., 18, 14327-14350, doi:10.5194/acp-18-14327-2018, 2018.

75. Cherian, R., J. Quaas, M. Salzmann, and L. Tomassini, Black carbon indirect radiative effects in a climate model, Tellus, 69, 1369342, doi:10.1080/16000889.2017.1369342, 2017.

74. Dipu S., , J. Quaas, R. Wolke, J. Stoll, A. Muhlbauer, M. Salzmann, Bernd Heinold, and Ina Tegen, Implementation of aerosol-cloud interactions in the regional atmosphere-aerosol model COSMO-MUSCAT and evaluation using satellite data, Geosci. Model Devel., 10, 2231-2246, doi:10.5194/gmd-10-2231-2017, 2017.

73. Gryspeerdt, Edward, J. Quaas, S. Ferrachat, A. Gettelman, S. Ghan, U. Lohmann, Hugh Morrison, D. Neubauer, D. G. Partridge, P. Stier, T. Takemura, Hailong Wang, M. Wang, and K. Zhang, Constraining the instantaneous aerosol influence on cloud albedo, Proc. Nat. Acad. Sci. USA, 119, 4899-4904, doi:10.1073/pnas.1617765114, 2017.

72. Heinze, Rieke, A. Dipankar, C. Carbajal Henken, C. Moseley, Odran Sourdeval, S. Trömel, X. Xie, Panagiotis Adamidis, F. Ament, H. Baars, C. Barthlott, A. Behrendt, U. Blahak, S. Bley, Slavko Brdar, Matthias Brueck, Susanne Crewell, Hartwig Deneke, P. Di Girolamo, R. Evaristo, J. Fischer, C. Frank, Petra Friederichs, T. Göcke, K. Gorges, L. Hande, M. Hanke, Akio Hansen, H.-C. Hege, Corinna Hoose, T. Jahns, Norbert Kalthoff, Daniel Klocke, S. Kneifel, P. Knippertz, A. Kuhn, T. Laar, Andreas Macke, V. Maurer, Bernhard Mayer, C. I. Meyer, S. K. Muppa, R. A. J. Neggers, E. Orlandi, F. Pantillon, B. Pospichal, Niklas Röber, Leonhard Scheck, Axel Seifert, Patrick Seifert, Fabian Senf, P. Siligam, Clemens Simmer, S. Steinke, B. Stevens, K. Wapler, M. Weniger, V. Wulfmeyer, Günter Zängl, D. Zhang, and J. Quaas, Large-eddy simulations over Germany using ICON: A comprehensive evaluation, Quart. J. Roy. Meteorol. Soc., 143, 69-100, doi:10.1002/qj.2947, 2017.

71. Heyn, I., Karoline Block, J. Mülmenstädt, Edward Gryspeerdt, Philipp Kühne, M. Salzmann, and J. Quaas, Assessment of simulated aerosol effective radiative forcings in the terrestrial spectrum, Geophys. Res. Lett., 44, 1001-1007, doi:10.1002/2016GL071975, 2017.

70. Heyn, I., J. Quaas, M. Salzmann, and J. Mülmenstädt, Effects of diabatic and adiabatic processes on relative humidity in a GCM, and relationship between mid-tropospheric vertical wind and cloud-forming and cloud-dissipating processes, Tellus A, 69, 1272753, doi:10.1080/16000870.2016.1272753, 2017.

69. Jing, Xianwen, K. Suzuki, H. Guo, D Goto, Tomoo Ogura, Tsuyoshi Koshiro, and J. Mülmenstädt, A multimodel study on warm precipitation biases in global models compared to satellite observations, J. Geophys. Res., 122, 11806-11824, doi:10.1002/2017JD027310, 2017.

68. Kretzschmar, Jan, M. Salzmann, J. Mülmenstädt, O. Boucher, and J. Quaas, Comment on ``Rethinking the lower bound on aerosol radiative forcing'', J. Climate, 30, 6579-6584, doi:10.1175/JCLI-D-16-0668.1, 2017.

67. Myhre, G., W. Aas, R. Cherian, W. Collins, G. Faluvegi, M. Flanner, Piers Forster, Ø. Hodnebrog, Z. Klimont, M. T. Lund, J. Mülmenstädt, C. Lund Myhre, D. Olivié, M. Prather, J. Quaas, B. H. Samset, J. L. Schnell, M. Schulz, D. Shindell, R. B. Skeie, T. Takemura, and S Tsyro, Multi-model simulations of aerosol and ozone radiative forcing due to anthropogenic emission changes during the period 1990-2015, Atmos. Chem. Phys., 17, 2709-2720, doi:10.5194/acp-17-2709-2017, 2017.

66. Patel, P., J. Quaas, and R. Kumar, A new statistical approach to improve the satellite based estimation of the radiative forcing by aerosol- cloud interactions, Atmos. Chem. Phys., 17, 3687-3698, doi:10.5194/acp-17-3687-2017, 2017.

65. Quaas, M. F., J. Quaas, W. Rickels, and O. Boucher, Are there good reasons against research into solar radiation management? - A model of intergenerational decision-making under uncertainty, J. Environ. Econ. Manage., 84, 1-17, doi:10.1016/j.jeem.2017.02.002, 2017.

64. Salzmann, M., The polar amplification asymmetry: Role of antarctic surface height, Earth Syst. Dynam., 8, 323-336, doi:doi:10.5194/esd-8-323-2017, 2017.

63. Tsushima, Y., F. Brient, S. A. Klein, D. Konsta, C. Nam, X. Qu, K. D. Williams, S. C. Sherwood, K. Suzuki, and M. D. Zelinka, The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue - metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models, Geosci. Model Dev., 10, doi:10.5194/gmd-2017-69, 2017.

62. Wendisch, Manfred, Marlen Brückner, John Burrows, Susanne Crewell, Klaus Dethloff, Kerstin Ebell, Christof Lüpkes, Andreas Macke, Justus Notholt, J. Quaas, Annette Rinke, and Ina Tegen, The Arctic Amplifier - Novel Science Planned in a New German Research Initiative, EOS, 98, doi:10.1029/2017EO064803, 2017.

61. White, Bethan, Edward Gryspeerdt, P. Stier, Hugh Morrison, Gregory Thompson, and Z. Kipling, Uncertainty from the choice of microphysics scheme in convection-permitting models significantly exceeds aerosol effects, Atmos.Chem. Phys., 17, 12145-12175, doi:10.5194/acp-17-12145-2017 , 2017.

60. Baraskar, A., M. Bhushan, C. Venkataraman, and R. Cherian, An offline constrained data assimilation technique for aerosols: Improving GCM simulations over South Asia using observations from two satellite sensors, Atmos. Environ., 132, 36 - 48, doi:10.1016/j.atmosenv.2016.02.026, 2016.

59. Bellouin, N., L. Baker, Ø. Hodnebrog, D. Olivié, R. Cherian, C. Macintosh, Bjørn 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., 16, 13885-13910, doi:10.5194/acp-16-13885-2016, 2016.

58. Boucher, O., Y. Balkanski, Ø. Hodnebrog, C. Lund Myhre, G. Myhre, J. Quaas, B. H. Samset, N Schutgens, P. Stier, and R. Wang, The jury is still out on the radiative forcing by black carbon, Proc. Nat. Acad. Sci. USA, 113, E5092-E5093, doi:10.1073/pnas.1607005113, 2016.

57. Gross, A, B. L. Turner, T. Goren, A. Berry, and A Angert, Tracing the Sources of Atmospheric Phosphorus Deposition to a Tropical Rain Forest in Panama Using Stable Oxygen Isotopes, Environ. Sci. Technol., 50, 1147-1156, doi:10.1021/acs.est.5b04936, 2016.

56. Gryspeerdt, Edward, J. Quaas, and N. Bellouin, Constraining the aerosol influence on cloud fraction, J. Geophys. Res., 121, 3566-3583, doi:10.1002/2015JD023744, 2016.

55. Kedia, S., R. Cherian, S. Islam, S. K. Das, and A. Kaginalkar, Regional simulation of aerosol radiative effects and their influence on rainfall over India using WRFChem model, Atmos. Res., 182, 232 - 242, doi:10.1016/j.atmosres.2016.07.008, 2016.

54. Quaas, J., M. F. Quaas, O. Boucher, and W. Rickels, Regional climate engineering by radiation management: Prerequisites and prospects, Earth's Future, 4, 618-625, doi:10.1002/2016EF000440, 2016.

53. Quennehen, B., J.-C. Raut, K. S. Law, N. Daskalakis, G. Ancellet, C. Clerbaux, S.-W. Kim, M. T. Lund, G. Myhre, D. J. L. Olivié, S. Safieddine, R. B. Skeie, J. L. Thomas, S Tsyro, A. Bazureau, N. Bellouin, 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. , 16, 10765-10792, doi:10.5194/acp-16-10765-2016, 2016.

52. Sadavarte, P., C. Venkataraman, R. Cherian, N. Patil, B.L. Madhavan, T. Gupta, S. Kulkarni, G. R. Carmichael, and B. Adhikary, Seasonal differences in aerosol abundance and radiative forcing in months of contrasting emissions and rainfall over northern South Asia, Atmos. Environ., 125, Part B, 512 - 523, doi:10.1016/j.atmosenv.2015.10.092, 2016.

51. Salzmann, M., Global warming without global mean precipitation increase?, Sci. Adv., 2, e1501572, doi:10.1126/sciadv.1501572, 2016.

50. Schutgens, N, Edward 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., doi:10.5194/acp-16-6335-2016, 2016.

49. Sourdeval, Odran, L. C.-Labonnote, A. J. Baran, J. Mülmenstädt, and G. Brogniez, A methodology for simultaneous retrieval of ice and liquid water cloud properties. Part 2: Near-global retrievals and evaluation against A-Train products, Q. J. R. Meteorol. Soc., 142, 3063-3081, doi:10.1002/qj.2889, 2016.

48. Watson-Parris, D, N Schutgens, N Cook, Z. Kipling, P Kerhsaw, Edward Gryspeerdt, B Lawrence, and P. Stier, Community Intercomparison Suite (CIS) v1.4.0: A tool for intercomparing models and observations, Geosci. Model Dev., 9, doi:10.5194/gmd-9-3093-2016, 2016.

47. Aswathy, V. N., O. Boucher, Martin 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.

46. 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.

45. Eckhardt, S., B. Quennehen, D. J. L. Olivié, T. K. Berntsen, R. Cherian, J.H. Christensen, W. Collins, S. Crepinsek, N. Daskalakis, M. Flanner, Andreas Herber, C. Heyes, Ø. Hodnebrog, L. Huang, M. Kanakidou, Z. Klimont, J. Langner, K. S. Law, M. T. Lund, R. Mahmood, A. Massling, S. Myriokefalitakis, I.E. Nielsen, J.K. Nøjgaard, 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.

44. Gryspeerdt, Edward, 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.

43. Mülmenstädt, J., Odran 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.

42. 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.

41. Quaas, J., and P. Stier, Satellite observations of convection and their implications for parameterizations, Parameterization of Atmospheric Convection, Vol. 2: Current Issues and New Theories, World Scientific Publishing, ISBN 978-1-78326-690-6, 47-58, doi:10.1142/9781783266913_0019, 2015.

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

39. 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.

38. 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. Lund, R. Maas, C. R. MacIntosh, G. Myhre, S. Myriokefalitakis, D. J. Olivie, 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.

37. 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.

36. 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.

35. 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.

34. Peters, Karsten, 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.

33. 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.

32. 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??11337, doi:10.1002/2014JD021783, 2014.

31. Sourdeval, Odran, 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, doi:10.1002/qj.2405, 2014.

30. 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.

29. 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.

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

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

26. 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.

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

24. Klocke, Daniel, 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.

23. Nam, C., and J. Quaas, Geographical versus dynamically defined boundary 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.

22. 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, Bernhard 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.

21. 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, Ulrich 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.

20. Schemann, Vera, 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.

19. Schirber, S., Daniel 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.

18. Schneider, N., J. Quaas, M. Claussen, and C. Reick, Satellite-based analysis of clouds and radiation properties of different vegetation types in the Brazilian Amazon region, AIP Conf. Proc. 1531, 428, doi:10.1063/1.4804798, 2013.

17. Stevens, B., Marco Giorgetta, M. Esch, T. Mauritsen, T. Crueger, S. Rast, M. Salzmann, Hauke Schmidt, J. Bader, Karoline 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.

16. Tomassini, L., O. Geoffroy, J.-L. Dufresne, A. Idelkadi, C. Cagnazzo, Karoline Block, T. Mauritsen, Marco 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.

15. 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.

14. 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.

13. 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.

12. Goren, T., and D. Rosenfeld, Satellite observations of ship emission induced transitions from broken to closed cell marine stratocumulus over large areas, Journal of Geophysical Research: Atmospheres, 117, 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, Karsten, 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, Daniel, 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, Karsten, 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.

Projekte

innovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts, iMIRA- CLI, EU Marie Curie Innovative Training Network, ETN


Nutzung von künstlicher Intelligenz für die Analyse von Aerosol-Wolken-Klima-Wechselwirkungen.
Partner: University of Oxford, Stockholm University, ETH Zurich, University of Edinburg, University of Valencia, Alan Touring Institute, DLR of Data Science, University College London

Atmosphären-Modelldaten: Datenqualität, Kurationskriterien und DOI-Branding, AtMoDat


FKZ 16QK02B, BMBF
lead: DKRZ.

Constrained aerosol forcing for improved climate projections, FORCeS


, EU Hori- zon2020, GA 821205, lead: Stockholm University

Constraining uncertainty of multi decadal climate projections, CONSTRAIN


, EU Horizon2020, GA 820829
lead: University of Leeds.

Cloud response to Volcanic eruptions, VolCloud, Proposal within research unit “VolImpact”


, QU 311/23-1 and FOR 2820/1
Partner: Karlsruhe Institute for Technology

Climate model PArameterisations informed by RAdar, PARA, DFG priority programme SPP 2115, PROM


; Geschäftszeichen QU 311/21-1.
Partner: Silke Trömel and Clemens Simmer, University of Bonn

Aerosol-cloud-rainfall interactions over emission source regions


, DFG, Geschäftszeichen CH 1881/1-1. Eigene Stelle Ribu Cherian

BMBF-Verbundprojekt High Definition Clouds and Climate for Advancing Climate Prediction (HD(CP)²) - zweite Phase (2016-2019)


Use of the high-resolution ICON-Model and the HD(CP)²-observation data for the investigation of fast adjustments of clouds to the anthropogenic emissions of aerosols (Project S1) and of CO2 (Project S2).
Main Partners: Max-Planck-Institut für Meteorologie, Hamburg; Institut für Geophysik und Meteorologie, Universität zu Köln; Institut für Weltraumwissenschaften, Freie Universität Berlin; Leibniz-Institut für Troposphärenforschung, Leipzig

ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms, (AC)³


Main task: Investigation of radiative forcing due to aerosol-cloud-interactions and their impacts in the Arctic (Project D02), analysis and qunatification of the climate feedbacks in the Arctic (Project E01).
collaborative research centre/transregional at the Universities Leipzig, Köln und Bremen with Alfred-Wegener-Institute (Bremerhaven and Potsdam) and Leibniz-Institute of Troposperic Research (Leipzig)

Past 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

Forcing in the long-wave spectrum due to aerosol-cloud interactions: satellite and climate modelling vs. HALO, FLASH, DFG, SPP 1294 "HALO"


Evaluation of a new satellite-based data set for ice crystal concentrations by the use of HALO-observations, analysis of the aerosol interactions.

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"

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

Thesis