Publications in atmospheric research (IMPRS AES)

  • Becker, T. (2018). On the interaction of precipitating convection with its environment and the role of convective organization. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2525402 [pdf]
  • Schulz, B. & Mellado, J.-P. (submitted). Wind-shear effects on radiatively and evaporatively driven stratocumulus tops. Journal of the Atmospheric Sciences, American Meteorological Society.
  • Sonntag, S., Ferrer-Gonzalez, M., Ilyina, T., Kracher, D., Nabel, J., Niemeier, U., Pongratz, J., Reick, C. & Schmidt, H. (2018). Quantifying and comparing effects of climate engineering methods in the earth system. Earth's Future , 6, 149-168. Hoboken, NJ: Wiley-Blackwell. doi:10.1002/2017EF000620 [pdf]
  • Vissio, G. & Lucarini, V. (2018). A proof of concept for scale-adaptive parametrizations: the case of the Lorenz '96 model. Quarterly Journal of the Royal Meteorological Society, 144, 63-75. Reading, Berkshire, England [etc.]: Royal Meteorological Society.. doi:10.1002/qj.3184
  • Ansorge, C. (2017). Analyses of turbulence in the neutrally and stably stratified planetary boundary layer. Phd Thesis, Cham: Springer International Publ.. doi:10.1007/978-3-319-45044-5
  • Berner, J., Achatz, U., Batte, L., Bengtsson, L., De La Camara, A., Christensen, H., Colangeli, M., Coleman, D., Crommelin, D., Dolaptchiev, S., Franzke, C., Friederichs, P., Imkeller, P., Järvinen, H., Juricke, S., Kitsios, V., Lott, F., Lucarini, V., Mahajan, S., Palmer, T., Penland, C., Sakradzija, M., von Storch, J., Weisheimer, A., Weniger, M., Williams, P. & Yano, J.-I. (2017). Stochastic parameterization: Towards a new view of weather and climate models. Bulletin of the American Meteorological Society, 98, 565-587. doi:10.1175/BAMS-D-15-00268.1 [pdf]
  • Cioni, G., Cerrai, D. & Klocke, D. (submitted). Investigating the predictability of a Mediterranean tropical-like cyclone using a hydrostatic high-resolution model. Quarterly Journal of the Royal Meteorological Society, Reading, Berkshire, England [etc.]: Royal Meteorological Society..
  • Cioni, G. & Hohenegger, C. (2017). Effect of soil moisture on diurnal convection and precipitation in large-eddy simulations. Journal of Hydrometeorology, 18, 1885-1903. Boston, MA: American Meteorological Society. doi:10.1175/JHM-D-16-0241.1 [pdf]
  • Cioni, G. & Hohenegger, C. (submitted). A simplified model of precipitation enhancement over a heterogeneous surface. Hydrology and Earth System Science, in open review. doi: 10.5194/hess-2017-547. Hydrology and Earth System Sciences, in open review. European Geosciences Union.
  • Galfi , V., Bodai, T. & Lucarini, V. (2017). Convergence of extreme value statistics in a two-layer quasi-geostrophic atmospheric model. Complexity, New York, N.Y.: Wiley. doi:10.1155/2017/5340858 [pdf]
  • Hedemann, C., Mauritsen, T., Jungclaus, J. & Marotzke, J. (2017). The subtle origins of surface-warming hiatuses. Nature Climate Change, 7, 336-339. London: Nature Publishing Group. doi:10.1038/nclimate3274 [zip]
  • Meraner, K. (2017). Towards modeling climate effects of energetic particle precipitation. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2399968 [pdf]
  • van Stratum, B. (2017). The influence of misrepresenting the nocturnal boundary layer on daytime convection in large-eddy simulation. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2383650 [pdf]
  • Vogel, R. (2017). The influence of precipitation and convective organization on the structure of the trades. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2503092 [pdf]
  • Ansorge, C. & Mellado, J.-P. (2016). Analyses of external and global intermittency in the logarithmic layer of Ekman flow. Journal of Fluid Mechanics, 805, 611-635.
  • Bhattacharya, R. & Stevens, B. (2016). A two Turbulence Kinetic Energy model as a scale-adaptive approach to modeling the planetary boundary layer. Journal of Advances in Modeling Earth Systems , 8, 224-243. Washington, D.C.: American Geophysical Union. doi:10.1002/2015MS000548 [pdf]
  • Bittner, M., Timmreck, C., Schmidt, H., Toohey, M. & Krüger , K. (2016). The impact of wave-mean flow interaction on the Northern Hemisphere polar vortex after tropical volcanic eruptions. Journal of Geophysical Research-Atmospheres, 121, 5281-5297. Washington, D.C.: American Geophysical Union. doi:10.1002/2015JD024603 [pdf]
  • Bittner, M., Schmidt, H., Timmreck, C. & Sienz, F. (2016). Using a large ensemble of simulations to assess the Northern Hemisphere stratospheric dynamical response to tropical volcanic eruptions and its uncertainty. Geophysical Research Letters, 43, 9324-9332. Washington, D.C.: American Geophysical Union. doi:10.1002/2016GL070587 [pdf]
  • Fläschner, D. (2016). Intermodel spread in global and tropical precipitation changes. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2321127 [pdf]
  • Fläschner, D., Mauritsen, T. & Stevens, B. (2016). Understanding the intermodel spread in global-mean hydrological sensitivity. Journal of Climate, 29, 801-817. Boston, MA: American Meteorological Society. doi:10.1175/JCLI-D-15-0351.1 [pdf] [pdf]
  • Mellado, J.-P., van Heerwaarden, C. & Garcia, J. (2016). Near-surface effects of free atmosphere stratification in free convection. Boundary-Layer Meteorology, 159, 69-95. doi:10.1007/s10546-015-0105-x [pdf]
  • Meraner, K. & Schmidt, H. (2016). Transport of Nitrogen Oxides through the winter mesopause in HAMMONIA. Journal of Geophysical Research-Atmospheres, 121, 2556-2570. Washington, D.C.: American Geophysical Union. doi:10.1002/2015JD024136 [gz] [pdf]
  • Meraner, K., Schmidt, H., Manzini, E., Funke, B. & Gardini, A. (2016). Sensitivity of simulated mesospheric transport of nitrogen oxides to parameterized gravity waves . Journal of Geophysical Research-Atmospheres, 121, 12,045-12,061. Washington, D.C.: American Geophysical Union. doi:10.1002/2016JD025012 [gz] [pdf]
  • Milinski, S., Bader, J., Haak, H., Siongco, A. & Jungclaus, J. (2016). High atmospheric horizontal resolution eliminates the wind-driven coastal warm bias in the southeastern tropical Atlantic. Geophysical Research Letters, 43, 10,455 -10,462. doi:10.1002/2016GL070530 [pdf]
  • Naumann, A. & Seifert, A. (2016). Evolution of the shape of the raindrop size distribution in simulated shallow cumulus. Journal of the Atmospheric Sciences, 73, 2279-2297. American Meteorological Society. doi:10.1175/JAS-D-15-0263.1 [pdf] [gz]
  • Siongco, A. (2016). Drivers of precipitation biases in the tropical Atlantic sector. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2321074 [pdf]
  • Vogel, R., Nuijens, L. & Stevens, B. (2016). The role of precipitation and spatial organization in the response of trade-wind clouds to warming. Journal of Advances in Modeling Earth Systems , 8, 843-862. doi:10.1002/2015MS000568 [pdf]
  • Bittner, M. (2015). On the discrepancy between observed and simulated dynamical responses of Northern Hemisphere winter climate to large tropical volcanic eruptions. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2239264 [pdf]
  • Keitzl, T. (2015). Turbulent enhancement of the melt-rate at an ice-ocean interface. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2239535 [pdf]
  • Lonitz, K., Stevens, B., Nuijens, L., Sant , V., Hirsch, L. & Seifert, A. (2015). The signature of aerosols and meteorology in long-term cloud radar observations of trade-wind cumuli. Journal of the Atmospheric Sciences, 72, 4643-4659. American Meteorological Society. doi:10.1175/JAS-D-14-0348.1 [1]
  • Naumann, A. (2015). Cloud structures and rain formation in the atmospheric boundary layer. Phd Thesis, Hamburg: Universität Hamburg. [pdf]
  • Naumann, A. & Seifert, A. (2015). A Lagrangian drop model to study warm rain microphysical processes in a shallow cumulus. Journal of Advances in Modeling Earth Systems , 7, 1136-1154. Washington, D.C.: American Geophysical Union. doi:10.1002/2015MS000456 [pdf]
  • Park, J.-Y. (2015). West African monsoon rainfall in a warming climate. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2239532 [pdf]
  • Park, J.-Y., Kug, J.-S., Bader, J., Rolph, R. & Kwon, M. (2015). Amplified Arctic warming by phytoplankton under greenhouse warming. Proceedings of the National Academy of Sciences of the United States of America, 112, 5921-5926. National Academy of Sciences. doi:10.1073/pnas.1416884112
  • Park, J.-Y., Bader, J. & Matei, D. (2015). Northern-hemispheric differential warming is the key to understanding the discrepancies in the projected Sahel rainfall. Nature Communications, 6, London: Nature Publishing Group. [pdf] [pdf]
  • Pithan, F., Angevine, W. & Mauritsen, T. (2015). Improving a global model from the boundary layer: Total turbulent energy and the neutral limit Prandtl number. Journal of Advances in Modeling Earth Systems, 7, 791-805. doi:10.1002/2014MS000382 [pdf]
  • Popp, M., Schmidt, H. & Marotzke, J. (2015). Initiation of a runaway greenhouse in a cloudy column . Journal of the Atmospheric Sciences, 72, 452-471. doi:10.1175/JAS-D-13-047.1 [pdf]
  • Rieck, M., Hohenegger, C. & Gentine, P. (2015). The effect of moist convection on thermally induced mesoscale circulations. Quarterly Journal of the Royal Meteorological Society, 141, 2418-2428.
  • Rieck, M. (2015). The role of heterogeneities and land-atmosphere interactions in the development of moist convection. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2095640 [pdf]
  • Sakradzija, M. (2015). A stochastic parameterization of shallow cumulus convection for high-resolution numerical weather and climate models. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2183346 [pdf]
  • Sakradzija, M., Seifert, A. & Heus, T. (2015). Fluctuations in a quasi-stationary shallow cumulus cloud ensemble. Nonlinear Processes in Geophysics, 22, 65-85. doi:10.5194/npg-22-65-2015 [pdf]
  • Schirber, S. (2015). Influence of ENSO on the QBO: Results from an ensemble of idealized simulations. Journal of Geophysical Research-Atmospheres, 120, 1109-1122. Washington, D.C.: American Geophysical Union. doi:10.1002/2014JD022460 [pdf]
  • Schubert, S. (2015). Statistical mechanics of the fluctuations of a turbulent quasi-geostrophic model of the atmosphere: instabilities and feedbacks. Phd Thesis, Hamburg: Universität Hamburg. [pdf]
  • Sudarchikova, N., Mikolajewicz, U., Timmreck, C., O'Donnell, D., Schurgers, G., Sein, D. & Zhang, K. (2015). Modelling of mineral dust for interglacial and glacial climate conditions with a focus on Antarctica . Climate of the Past, 11, 765-779. Katlenberg-Lindau, Germany: Published by Copernicus on behalf of the European Geosciences Union. doi:10.5194/cp-11-765-2015
  • van Stratum, B. & Stevens, B. (2015). The influence of misrepresenting the nocturnal boundary layer on idealized daytime convection in large-eddy simulation. Journal of Advances in Modeling Earth Systems , 7, 423-436. Washington, D.C.: American Geophysical Union. doi:10.1002/2014MS000370 [de/pubman/item/escidoc:2069544:11/component/escidoc:2175527/JAMES-7-423]
  • Vila-Guerau de Arellano, J., van Heerwaarden, C., van Stratum, B. & van den Dries, K. (2015). Atmospheric boundary layer: Integrating air chemistry and land interactions. Cambridge: Cambridge Univ. Press.
  • Bhattacharya, R. (2014). A two turbulence kinetic energy model for the scale adaptive treatment of the planetary boundary layer. Phd Thesis, Hamburg: Universität Hamburg. [pdf]
  • Cheedela, S.-K. (2014). Single column models and low cloud feedbacks. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2039424 [pdf]
  • Garcia, J. (2014). Analysis of the surface layer and the entrainment zone of a convective boundary layer using direct numerical simulation. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2055886 [pdf]
  • Garcia, J. & Mellado, J.-P. (2014). The two-layer structure of the entrainment zone in the convective boundary layer. Journal of the Atmospheric Sciences, 71, 1935-1955. American Meteorological Society. [pdf]
  • Garny, H., Birner, T., Bönisch, H. & Bunzel, F. (2014). The effects of mixing on age of air. Journal of Geophysical Research-Atmospheres, 119, 7015-7034. Washington, D.C.: American Geophysical Union. doi:10.1002/2013JD021417 [pdf]
  • Krismer, T. & Giorgetta, M. (2014). Wave forcing of the quasi-biennial oscillation in the Max Planck Institute Earth System Model . Journal of the Atmospheric Sciences , 71, 1985-2006. American Meteorological Society. [pdf]
  • Krismer, T. (2014). Wave-mean flow interactions driving the quasi-biennial oscillation in ECHAM6. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2039429 [pdf]
  • Lee, K.-W., Yeh, S.-W., Kug, J.-S. & Park, J.-Y. (2014). Ocean chlorophyll response to two types of El Niño events in an ocean-biogeochemical coupled model. Journal of Geophysical Research: Oceans, 119, 933-952. Hoboken, NJ: Wiley. doi:10.1002/2013JC009050 [pdf]
  • Lonitz, K. (2014). Susceptibility of trade wind cumulus clouds to precipitation. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.2039421 [pdf]
  • Nuijens, L., Serikov, I., Hirsch, L., Lonitz, K. & Stevens, B. (2014). The distribution and variability of low-level cloud in the North-Atlantic trades. Quarterly Journal of the Royal Meteorological Society, 140, 2364-2374. Reading, Berkshire, England [etc.]: Royal Meteorological Society.. doi:10.1002/qj.2307
  • Park, J.-Y., Kug, J.-S. & Park, Y.-G. (2014). An exploratory modeling study on bio-physical processes associated with ENSO. Progress in Oceanography, 124, 28-41. Oxford: Pergamon. doi:10.1016/j.pocean.2014.03.013
  • Park, J.-Y., Kug, J.-S., Seo, H. & Bader, J. (2014). Impact of bio-physical feedbacks on the tropical climate in coupled and uncoupled GCMs. Climate Dynamics, 43, 1811-1827. Heidelberg: Springer-International. doi:10.1007/s00382-013-2009-0
  • Pessacg, N., Solman, S., Samuelsson, P., Sanchez, E., Marengo, J., Li, L., Remedio, A., da Rocha, R., Mourão, C. & Jacob, D. (2014). The surface radiation budget over South America in a set of regional climate models from the CLARIS-LPB project. Climate Dynamics, 43, 1221 -1239. Heidelberg: Springer-International. doi:10.1007/s00382-013-1916-4 [pdf]
  • Pithan, F., Medeiros, B. & Mauritsen, T. (2014). Mixed-phase clouds cause climate model biases in Arctic wintertime temperature inversions. Climate Dynamics, 43, 289-303. Heidelberg: Springer-International. doi:10.1007/s00382-013-1964-9
  • Pithan, F. & Mauritsen, T. (2014). Arctic amplification dominated by temperature feedbacks in contemporary climate models. Nature Geoscience, 7, 181-184. doi:10.1038/ngeo2071
  • Pithan, F. (2014). Arctic boundary-layer processes and climate change. Phd Thesis, Hamburg: Universität Hamburg. [pdf]
  • Rieck, M., Hohenegger, C. & van Heerwaarden, C. (2014). The influence of land surface heterogeneities on cloud size development. Monthly Weather Review, 142, 3830-3846. doi:10.1175/MWR-D-13-00354.1 [pdf]
  • Schemann, V. (2014). Towards a scale aware cloud process parameterization for global climate models. Phd Thesis, Hamburg: Universität Hamburg. doi:10.17617/2.1932864 [pdf]
  • Schirber, S. (2014). The role of convectively generated gravity waves in driving the Quasi-Biennial Oscillation. Phd Thesis, Hamburg: Universität Hamburg. [pdf]
  • Son, H.-Y., Park, J.-Y., Kug, J.-S., Yoo, J. & Kim, C.-H. (2014). Winter precipitation variability over Korean Peninsula associated with ENSO. Climate Dynamics, 42, 3171-3186. Heidelberg: Springer-International. doi:10.1007/s00382-013-2008-1
  • Toohey, M., Krüger, K., Bittner, M., Timmreck, C. & Schmidt, H. (2014). The impact of volcanic aerosol on the northern hemisphere stratospheric polar vortex: mechanism and sensitivity to forcing structure. Atmospheric Chemistry and Physics, 14, 13063-13079. Katlenburg-Lindau, Germany: European Geosciences Union. doi:10.5194/acp-14-13063-2014 [pdf]
  • Bunzel, F. & Schmidt, H. (2013). The Brewer-Dobson circulation in a changing climate : import of the model configuration. Journal of the Atmospheric Sciences, 70, 1437-1455 . American Meteorological Society. [pdf] [pdf]
  • Bunzel, F. (2013). Numerical studies of stratosphere-troposphere dynamical coupling in a changing climate. Phd Thesis, Hamburg: University of Hamburg. [pdf]
  • Karner, F., Obleitner, F., Krismer, T., Kohler, J. & Greuell, W. (2013). A decade of energy and mass balance investigations on the glacier Kongsvegen, Svalbard. Journal of Geophysical Research-Atmospheres , 118, 3986-4000. Washington, D.C.: American Geophysical Union. doi:10.1029/2012JD018342 [pdf]
  • Krismer, T., Giorgetta, M. & Esch, M. (2013). Seasonal aspects of the quasi-biennial oscillation in the Max Planck Institute Earth System Model and ERA-40. Journal of Advances in Modeling Earth Systems, 5, 406-421. Washington, D.C.: American Geophysical Union. doi:10.1002/jame.20024 [pdf]
  • Marengo, J., Chou, S., Mourao, C., Solman, S., Sanchez, E., Samuelsson, P., da Rocha, R., Li, L., Pessacg, N., Remedio, A., Carril, A., Cavalcanti, I. & Jacob, D. (2013). Simulation of rainfall anomalies leading to the 2005 drought in Amazonia using the CLARIS LPB regional climate models. Climate Dynamics, 41, 2937-2955. Heidelberg: Springer-International. doi:10.1007/s00382-013-1919-1 [pdf]
  • Miller, A., Schmidt, H. & Bunzel, F. (2013). Vertical coupling of the middle atmosphere during stratospheric warming events. Journal of Atmospheric and Solar-Terrestrial Physics, 97, 11-21. Kidlington, Oxford, U.K.: Pergamon. [pdf]
  • Misios, S. & Schmidt, H. (2013). The role of the oceans in shaping the tropospheric response to the 11 year solar cycle. Geophysical Research Letters, 40, 6373-6377. Washington, D.C.: American Geophysical Union. doi:10.1002/2013GL058439 [pdf]
  • Misios, S. & Schmidt, H. (2013). Stratospheric responses to the 11-year solar cycle in MAECHAM5 with and without ocean coupling. In Advances in Meteorology, Climatology and Atmospheric Physics (pp.1113-1119). Berlin: Springer. doi:10.1007/978-3-642-29172-2_155
  • Möbis, B. (2013). Factors controlling the position of the inter-tropical convergence zone on an aquaplanet . Phd Thesis, Hamburg: University of Hamburg. doi:10.17617/2.1695418 [pdf]
  • Naumann, A., Seifert, A. & Mellado, J.-P. (2013). A refined statistical cloud closure using double-Gaussian probability density functions. Geoscientific Model Development, 6, 1641-1657. Göttingen: Copernicus Publ.. doi:10.5194/gmd-6-1641-2013 [pdf]
  • Ouwersloot, H., De Arellan, J.-G., van Stratum, B., Krol, M. & Lelieveld, J. (2013). Quantifying the transport of subcloud layer reactants by shallow cumulus clouds over the Amazon. Journal of Geophysical Research-Atmospheres, 118, 13041-13059. Washington, D.C.: American Geophysical Union. [pdf]
  • Peters, K., Stier, P., Quaas, J. & Grassl, H. (2013). Corrigendum to "Aerosol indirect effects from shipping emissions: sensitivity studies with the global aerosol-climate model ECHAM-HAM" published in Atmos. Chem. Phys., 12, 5985–6007, 2012. Atmospheric Chemistry and Physics, 13, 6429-6430. Katlenburg-Lindau, Germany: European Geosciences Union. doi:10.5194/acp-13-6429-2013 [pdf]
  • Pithan, F. & Mauritsen, T. (2013). Comments on 'Current GCMs' unrealistic negative feedback in the Artic' . Journal of Climate, 26, 7783-7788. Boston, MA: American Meteorological Society. doi:10.1175/JCLI-D-12-00331.1 [pdf]
  • Popke, D., Stevens, B. & Voigt, A. (2013). Climate and climate change in a radiative convective equilibrium version of ECHAM6. Journal of Advances in Modeling Earth Systems, 5, 1-14. Washington, D.C.: American Geophysical Union. doi:10.1029/2012MS000191 [pdf]
  • Radermacher, C. (2013). Causes for regional changes in heavy precipitation over Europe. Phd Thesis, Hamburg: University of Hamburg. doi:10.17617/2.1746784 [pdf]
  • Remedio, A. (2013). Connections of low level jets and mesoscale convective systems in South America. Phd Thesis, Hamburg: Universität Hamburg. [pdf]
  • Schemann, V., Stevens, B., Gruetzun, V. & Quaas, J. (2013). Scale dependency of total water variance and its implication for cloud parameterizations. Journal of the Atmospheric Sciences, 70, 3615-3630. American Meteorological Society. doi:10.1175/JAS-D-13-09.1 [pdf]
  • Schmidt, H., Kieser, J., Misios, S. & Gruzdev, A. (2013). The atmospheric response to solar variability: simulations with a general circulation chemistry model for the entire atmosphere. In Lübken, F.-J. (Eds.), Climate and Weather of the Sun-Earth System (CAWSES) : Highlights from a priority program (pp.585-604). Dordrecht: Springer. doi:10.1007/978-94-007-4348-9_31
  • Schmidt, H., Rast, S., Bunzel, F., Esch, M., Giorgetta, M., Kinne, S., Krismer, T., Stenchikov, G., Timmreck, C., Tomassini, L. & Walz, M. (2013). The response of the middle atmosphere to anthropogenic and natural forcing in the CMIP5 simulations with the MPI-ESM. Journal of Advances in Modeling Earth Systems, 5, 98-116. Washington, D.C.: American Geophysical Union. doi:10.1002/jame.20014 [pdf]
  • Solman, S., Sanchez, E., Samuelsson, P., da Rocha, R., Li, L., Marengo, J., Pessacg, N., Remedio, A., Chou, S., Berbery, H., Le Treut, H., de Castro, M. & Jacob, D. (2013). Evaluation of an ensemble of regional climate model simulations over South America driven by the ERA-Interim reanalysis: model performance and uncertainties. Climate Dynamics, 41, 1139-1159. Heidelberg: Springer-International.
  • Teichmann, C., Eggert, B., Elizalde, A., Haensler, A., Jacob, D., Kumar, P., Moseley, C., Pfeifer, S., Rechid, D., Remedio, A., Ries, H., Petersen, J., Preuschmann, S., Raub, T., Saeed, F., Sieck, K. & Weber, T. (2013). How does a regional climate model modify the projected climate change signal of the driving GCM: A study over different CORDEX regions using REMO. Atmosphere, 4, 214-236. [pdf]
  • Wan, H., Giorgetta, M., Zängl, G., Restelli, M., Majewski, D., Bonaventura, L., Fröhlich, K., Reinert, D., Rıpodas, P., Kornblueh, L. & Förstner, J. (2013). The ICON-1.2 hydrostatic atmospheric dynamical core on triangular grids, Part I: formulation and performance of the baseline version. Geoscientific Model Development, 6, 735-763. Göttingen: Copernicus Publ.. doi:10.5194/gmd-6-735-2013 [pdf]
  • Carril, A., Menéndez, C., Remedio, A., Robledo, F., Sörensson, A., Tencer, B., Boulanger, J.-P., de Castro, M., Jacob, D., Le Treut, H., Li, L., Penalba, O., Pfeifer, S., Rusticucci, M., Salio, P., Samuelsson, P., Sanchez, E. & Zaninelli, P. (2012). Performance of a multi-RCM ensemble for South Eastern South America. Climate Dynamics, 39, 2747-2768. Heidelberg: Springer-International. doi:10.1007/s00382-012-1573-z
  • Eccel, E., Cau, P., Riemann-Campe, K. & Biasioli, F. (2012). Quantitative hail monitoring in an alpine area: 35-year climatology and links with atmospheric variables. International Journal of Climatology, 32, 503-517. Chichester: Wiley.
  • Jacob, D., Elizalde, A., Haensler, A., Hagemann, S., Kumar, P., Podzun, R., Rechid, D., Remedio, A., Saeed, F., Sieck, K., Teichmann, C. & Wilhelm, C. (2012). Assessing the transferability of the regional climate model REMO to different COordinated Regional Climate Downscaling EXperiment (CORDEX) Regions. Atmosphere, 3, 181-199. doi:10.3390/atmos3010181 [pdf]
  • Mellado, J. & Ansorge, C. (2012). Factorization of the Fourier transform of the pressure-Poisson equation using finite differences in colocated grids. Zeitschrift für angewandte Mathematik und Mechanik, 92, 380-392. Berlin: Wiley-VCH Verlag. doi:10.1002/zamm.201100078
  • Misios, S. & Schmidt, H. (2012). Mechanisms involved in the amplification of the 11-year solar cycle signal in the tropical Pacific Ocean. Journal of Climate, 25, 5102- 5118 . Boston, MA: American Meteorological Society. [pdf]
  • Misios, S. (2012). Influences of the 11-year solar cycle on the tropical atmosphere and oceans. Phd Thesis, Hamburg: Hamburg University. doi:10.17617/2.1404597 [pdf]
  • Möbis, B. & Stevens, B. (2012). Factors controlling the position of the intertropical convergence zone on an aquaplanet. Journal of Advances in Modeling Earth Systems, 4, Washington, D.C.: American Geophysical Union. doi:10.1029/2012MS000199 [pdf]
  • Peters, K., Stier, P., Quaas, J. & Grassl, H. (2012). Aerosol indirect effects from shipping emissions: sensitivity studies with the global aerosol-climate model ECHAM-HAM. Atmospheric Chemistry and Physics, 12, 5985-6007. Katlenburg-Lindau, Germany: European Geosciences Union. doi:10.5194/acp-12-5985-2012 [pdf]
  • Pfeffer, M., Langmann, B., Heil, A. & Graf, H.-F. (2012). Numerical simulations examining the possible role of anthropogenic and volcanic emissions during the 1997 Indonesian fires. Air Quality, Atmosphere and Health, 5, 277-292.
  • Rieck, M., Nuijens, L. & Stevens, B. (2012). Marine boundary layer cloud feedbacks in a constant relative humidity atmosphere. Journal of the Atmospheric Sciences, 69, 2538-2550. American Meteorological Society. doi:10.1175/JAS-D-11-0203.1 [pdf]
  • Seethala, C. (2012). Evaluating the state-of-the-art of and errors in 1D satellite cloud liquid water path retrievals with large eddy simulations and realistic radiative transfer models. Phd Thesis, Hamburg: University of Hamburg. doi:10.17617/2.1404650 [pdf]
  • Weil, M., Grassl, H., Hoshyaripour, G., Kloster, S., Kominek, J., Misios, S., Scheffran, J., Starr, S., Stenchikov, G., Sudarchikova, N., Timmreck, C., Zhang, D. & Kalinowski, M. (2012). Pathways, impacts, and policies on severe aerosol injections into the atmosphere. Bulletin of the American Meteorological Society, 93, ES85-ES88. American Meteorological Society. [pdf]
  • Aghedo, A., Bowman, K., Worden, H., Kulawik, S., Shindell, D., Lamarque, J., Faluvegi, G., Parrington, M., Jones, D. & Rast, S. (2011). The vertical distribution of ozone instantaneous radiative forcing from satellite and chemistry climate models. Journal of Geophysical Research - Atmospheres, 116, [pdf]
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