Publications

Peer-reviewed publications

Bachelor, Master and PhD theses can be found here.

  • Köhler, D., Reutter, P., and Spichtinger, P.: Relative humidity over ice as a key variable for Northern Hemisphere midlatitude tropopause inversion layers, Atmos. Chem. Phys., 24, 10055–10072, https://doi.org/10.5194/acp-24-10055-2024, 2024.
  • Krüger, M., A. Mishra, P. Spichtinger, U. Pöschl, T. Berkemeier, 2024: A numerical compass for experiment design in chemical kinetics and molecular property estimation. Journal of Cheminformatics, 16, 34, doi:10.1186/s13321-024-00825-0 [link]
  • Niebler, S., B. Schmidt, P. Spichtinger, H. Tost, 2024: Scalable GPU-enabled creation of three dimensional weather fronts. Proceedings of the Platform for Advanced Scientific Computing (PASC) Conference 2024, 2, 1-12, doi:10.1145/3659914.3659916 [link]
  • Wörl, A.-C., M. Wand, P. Spichtinger, 2024: Towards a Data-Driven Understanding of Cloud Structure Formation. Accepted as a workshop paper at the International Conference on Learning Representations (ICLR) 2024 Workshop: Tackling Climate Change with Machine Learning.
  • Chertock, A., A. Kurganov, M. Lukáčová-Medviďová, P. Spichtinger, B. Wiebe, 2023: Stochastic Galerkin method for cloud simulation. Part II: a fully random Navier-Stokes-cloud model. Journal of Computational Physics, 479, 111987, doi:10.1016/j.jcp.2023.111987 [link]
  • Dolaptchiev, S. I., P. Spichtinger, M. Baumgartner, U. Achatz, 2023: Interactions between gravity waves and cirrus clouds: asymptotic modeling of wave induced ice nucleation. J. Atmos. Sci., 80, 2861-2879, doi:10.1175/JAS-D-22-0234.1 [link]
  • Niebler, S., B. Schmidt, H. Tost, P. Spichtinger: Automated identification and location of three dimensional atmospheric frontal systems. In: Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science ICCS 2023. Lecture Notes in Computer Science, 14074, 3-17, Springer, doi: 10.1007/978-3-031-36021-3_1 [link]
  • Spichtinger, P., P. Marschalik, M. Baumgartner, 2023: Impact of formulations of the homogeneous nucleation rate on ice nucleation events in cirrus. Atmos. Chem. Phys., 23, 2035-2060, doi: 10.5194/acp-23-2035-2023
  • Chertock, A., A. Kurganov, M. Lukáčová-Medviďová, P. Spichtinger, B. Wiebe, 2023: Stochastic Galerkin method for cloud simulation. Part II: a fully random Navier-Stokes-cloud model. Journal of Computational Physics, 479, 111987, doi:10.1016/j.jcp.2023.111987
  • Lachnitt, H.-C., Hoor, P., Kunkel, D., Bramberger, M., Dörnbrack, A., Müller, S., Reutter, P., Giez, A., Kaluza, T., and Rapp, M.: Gravity wave induced cross-isentropic mixing: A DEEPWAVE case study, Atmos. Chem. Phys., https://doi.org/10.5194/acp-23-355-2023, 2023.
  • Sullivan, S., Voigt, A., Miltenberger, A., Rolf, C., and M. Krämer (2022). A Lagrangian Perspective of Microphysical Impact on Ice Cloud Evolution and Radiative Heating.J. Adv. Model. Earth Sys., 14, e2022MS003226, doi:10.1029/2022MS003226.
  • Baumgartner, M., C. Rolf, J.-U. Grooß, J. Schneider, T. Schorr, O. Möhler, P. Spichtinger, and M. Krämer, 2022: New investigations on homogeneous ice nucleation: the effects of water activity and water saturation formulations. Atmos. Chem. Phys., 22, 65-91, doi: 10.5194/acp-22-65-2022
  • Brodehl, S., R. Müller, E. Schömer, P. Spichtinger, M. Wand, 2022: End-to-End Prediction of Lightning Events from Geostationary Satellite Images. Remote Sens. 14(15), 3760, doi: 10.3390/rs14153760
  • Hieronymus, M., Baumgartner, M., Miltenberger, A., and A. Brinkmann (2022). Algorithmic differentiation for sensitivity analysis in cloud microphysics. J. Adv. Model. Earth Sys., 14, e2021MS002849, doi:10.1029/2021MS002849.
  • Niebler, S., A. Miltenberger, B. Schmidt, and P. Spichtinger, 2022: Automated detection and classification of synoptic scale fronts from atmospheric data grids. Weather Clim. Dynam., 3, 113-137 doi: 10.5194/wcd-3-113-2022
  • Niebler, S., Miltenberger, A., Schmidt, B., and P. Spichtinger (2022). Automated detection and classification of synoptic scale front from atmospheric data grids. Weather Clim. Dynam., 3, 113-137, doi:10.5194/wcd-3-113-2022.
  • Henneberg, J., F. Schuhknecht, P. Reutter, N. Brast, P. Spichtinger, 2022: Northlight: Declarative and Optimized Analysis of Atmospheric Datasets in SparkSQL. SSDBM ‘22: Proceedings of the 34th International Conference on Scientific and Statistical Database Management, 13, 1-12, doi: 10.1145/3538712.3538715. [Link]
  • Weigel, R., C. Mahnke, M. Baumgartner, M. Krämer, P. Spichtinger, N. Spelten, A. Afchine, C. Rolf, S. Viciani, F. D’Amato, H. Tost, and S. Borrmann, 2021: New particle formation inside ice clouds: in situ observations in the tropical tropopause layer in the 2017 Asian Monsoon Anticyclone. Atmos. Chem. Phys., 21, 13455-1348, doi: 10.5194/acp-21-13455-2021
  • Grulich, L., R. Weigel, A. Hildebrandt, M. Wand, and P. Spichtinger, 2021: Automatic shape detection of ice crystals. Journal of Computational Science, 54, 101429. doi: 10.1016/j.jocs.2021.101429
  • Hawker, R. E., Miltenberger, A. K., Johnson, J. S., Wilkinson, J. M., Hill, A. A., Shipway, B. J.,   Field, P. R., Murray, B. J., and Ken S. Carslaw (2021). Model emulation to understand the joint effects of ice-nucleating particles and secondary ice production on deep convective anvil cirrus. Atmos. Chem. Phys., 21, 17315-17343, doi:10.5194/acp-21-17315-2021. [Link]
  • Craig, G. C., Fink, A. H., Hoose, C., Janjic, T., Knippertz, P., Laurian, A., Lerch, S., Mayer, B., Miltenberger, A., Redl, R., Riemer, R., Tempest, K. I., and V. Wirth (2021). Waves to Weather: Exploring the limits of predictability of weather. Bull. Amer. Meteorol. Soc., doi:10.1175/BAMS-D-20-0035.1. [Link]
  • Hawker, R. E, Miltenberger, A. K., Wilkinson, J. M., Hill, A. A., Shipway, B. J., Cui, Z., Cotton, R. J., Carslaw, K. S., Field, P. R., and B. J. Murray (2020). The temperature dependence of ice-nucleating particle concentrations affects the radiative properties of tropical convective cloud systems. Atmos. Chem. Phys., 21, 5439-5461, doi:10.5194/acp-21-5439-2021. [Link]
  • Miltenberger, A., and P. Field (2021). Sensitivity of mixed-phase convective clouds to parameterisations of ice formation - an ensemble perspective. Atmos. Chem. Phys., 21, 3627—3642, doi:10.5194/acp-21-3627-2021. [Link]
  • Marinescu, P. J., van den Heever, S. C., Heikenfeld, M., Barrett, A. I. Barthlott, C., Hoose, C., Fan, J., Fridlind, A. M., Matsui, T., Miltenberger, A. K., Stier, P., Vie, B., White, B., and Y. Zhang (2021). Impacts of varying concentrations of cloud condensation nuclei on deep convective cloud updrafts – A multimodel assessment. J. Atmos. Sci., doi:10.1175/JAS-D-20-0200.1. [Link]
  • Miltenberger, A. K., Field, P. R., Hill, A. A., and A. J. Heymsfield (2020). Vertical redistribution of moisture and aerosol in orographic mixed-phase clouds. Atmos. Chem. Phys., 20, 7979-8001, doi:10.5194/acp-20-7979-2020 [Link]
  • Miltenberger, A K., Lüttmer, T., and C. Siewert (2020). Secondary ice formation in idealised deep convection — source of primary ice and impact on glaciation. Atmosphere, doi:10.3390/atmos11050542 [Link]
  • Hanke, M. and N. Porz, 2020: Unique Solvability of a System of Ordinary Differential Equations Modeling a Warm Cloud Parcel, SIAM J. Appl. Math., 80(2), 706–724.   [Link]
  • Baumgartner, M., R. Weigel, A. H. Harvey, F. Plöger, U. Achatz, and P. Spichtinger, 2020: Reappraising the appropriate calculation of a common meteorological quantity: Potential Temperature. Atmos. Chem. Phys., 20, 15585-15616. doi: 10.5194/acp-20-15585-2020
  • Krämer, M., C. Rolf, N. Spelten, A. Afchine, D. Fahey, E. Jensen, S. Khaykin, T. Kuhn, P. Lawson, A. Lykov, L. L. Pan, M. Riese, F. Stroh, T. Thornberry, V. Wolf, S. Woods, P. Spichtinger, J. Quaas, O. Sourdeval, 2020: A Microphysics Guide to Cirrus - Part 2: Climatologies of Clouds and Humidity from Observations. Atmos. Chem. Phys., 20, 12569-12608, doi: 10.5194/acp-20-12569-2020
  • Petzold, A., P. Neis, M. Rütimann, S. Rohs, F. Berkes, H.G.J. Smit, M. Krämer, N. Spelten, P. Spichtinger, P. Nedelec, A. Wahner, 2020: Ice-supersaturated air masses in the northern mid-latitudes from regular in situ observations by passenger aircraft: vertical distribution, seasonality and tropospheric fingerprint. Atmos. Chem. Phys., 20, 8157-8179, doi:10.5194/acp-20-8157-2020
  • Reutter, P., P. Neis, S. Rohs, B. Sauvage, 2020: Ice supersaturated regions: properties and validation of ERA-Interim reanalysis with IAGOS in situ water vapour measurements, Atmos. Chem. Phys.,20, pp. 787-804, doi:10.5194/acp-20-787-2020 [link]
  • Rosemeier, J. and P. Spichtinger, 2020: Pattern formation in clouds via Turing instabilities. Math. Clim. Weather Forecast., 6, 75-96, doi:10.1515/mcwf-2020-0104
  • Baumgartner, M., M. Sagebaum, N. Gauger, P. Spichtinger, A. Brinkmann, 2019: Algorithmic Differentiation for Cloud Schemes. Geosci. Model Dev., doi:10.5194/gmd-2019-140
  • Baumgartner, M. and P. Spichtinger, 2019: Homogeneous nucleation from an asymptotic point of view, Theor. Comput. Fluid Dyn., 33, 83-106, doi:10.1007/s00162-019-00484-0 [link]
  • Chertok, A., A. Kurganov, M. Lukacova-Medvidova, P. Spichtinger, B. Wiebe, 2019: Stochastic Galerkin Method for Cloud Simulation, Math. Clim. Weather Forecast.
  • Baumgartner, M. and P. Spichtinger, 2018a: Diffusional Growth of Cloud Particles: Existence and Uniqueness of Solutions. Theor. Comput. Fluid Dyn., doi:10.1007/s00162-017-0437-x [link]
  • Baumgartner, M. and P. Spichtinger, 2018b: Towards a Bulk Approach of Local Interactions of Hydrometeors. Atmos. Chem. Phys., 18, 2525-2546, doi:10.5194/acp-18-2525-2018 [link]
  • Porz, N., M. Hanke, M. Baumgartner, and P. Spichtinger, 2018: A model for warm clouds with implicit droplet activation, avoiding saturation adjustment, Math. Clim. Weather Forecast., 4, 50-78, doi: 10.1515/mcwf-2018-0003 [link]
  • Rosemeier, J., M. Baumgartner, and P. Spichtinger, 2018: Intercomparison of Warm- Rain Bulk Microphysics Schemes using Asymptotics, Math. Clim. Weather Forecast., 4, 104-124, doi: 10.1515/mcwf-2018-0005 [link]
  • Baumgartner, M., and P. Spichtinger, 2017: Local interactions by diffusion between mixed-phase hydrometeors: Insights from model simulations. Math. Clim. Weather Forecast, 3, 64-89, doi:10.1515/mcwf-2017-0004 [link]
  • Berkemeier, T. M. Ammann, U. K. Krieger, T. Peter, P. Spichtinger, U. Pöschl, M. Shiraiwa, and A. J. Huisman, 2017: Monte-Carlo genetic algorithm (MCGA) for model analysis of multiphase chemical kinetics to determine transport and reaction rate coefficients using multiple experimental data sets. Atmos. Chem. Phys., 17, 8021-8029, doi:10.5194/acp-17-8021-2017 [link]
  • Klingebiel, M., A. Ehrlich, F. Finger, T. Röschenthaler, S. Jakirlic, M. Voigt, S. Müller, R. Maser, M. Wendisch, P. Hoor, P. Spichtinger, and S. Borrmann, 2017: A tandem approach for collocated in-situ measurements of microphysical and radiative cirrus properties. Atmos. Meas. Tech., 10, 3485-3498, doi:10.5194/amt-10-3485-2017 [link]
  • Lukacova-Medvidova, M., J. Rosemeier, P. Spichtinger, B. Wiebe, 2017: IMEX Finite Volume Methods for Cloud Simulation. In: "Finite Volumes for Complex Applications VIII—Hyperbolic, Elliptic and Parabolic Problems. FVCA 2017.", C. Cances and P. Omnes, Eds., Springer Proceedings in Mathematics & Statistics 200, 179-187, DOI: 10.1007/978-3-319-57394-6_20 [link]
  • Petzold, A., M. Krämer, P. Neis, C. Rolf, S. Rohs, F. Berkes, H.G.J. Smit, M. Gallagher, K. Beswick, G. Lloyd, D. Baumgardner, P. Spichtinger, P. Nedelec, V. Thouret, V. Ebert, B. Buchholz, M. Riese, A. Wahner, 2017: Upper tropospheric water vapour and its interaction with cirrus clouds as seen from IAGOS long-term routine in-situ observations. Faraday Discussions, 200, 229-249, doi: 10.1039/c7fd00006e [link]
  • Spreitzer, E. J., M. P. Marschalik, P. Spichtinger, 2017: Subvisible cirrus clouds - a dynamical system approach. Nonlin. Processes Geophys., 24, 307-328, doi:10.5194/npg-24-307-2017 [link]
  • Voigt, C., U. Schumann, A. Minikin, A. Abdelmonem, A. Afchine, S. Borrmann, M. Boettcher, B. Buchholz, L. Bugliaro, A. Costa, J. Curtius, M. Dollner, A. Dörnbrack, V. Dreiling, V. Ebert, A. Ehrlich, A. Fix, L. Forster, F. Frank, D. Fütterer, A. Giez, K. Graf, J. Grooß, S. Groß, K. Heimerl, B. Heinold, T. Hüneke, E. Järvinen, T. Jurkat, S. Kaufmann, M. Kenntner, M. Klingebiel, T. Klimach, R. Kohl, M. Krämer, T. Krisna, A. Luebke, B. Mayer, S. Mertes, S. Molleker, A. Petzold, K. Pfeilsticker, M. Port, M. Rapp, P. Reutter, C. Rolf, D. Rose, D. Sauer, A. Schäfler, R. Schlage, M. Schnaiter, J. Schneider, N. Spelten, P. Spichtinger, P. Stock, A. Walser, R. Weigel, B. Weinzierl, M. Wendisch, F. Werner, H. Wernli, M. Wirth, A. Zahn, H. Ziereis, and M. Zöger, 2017: ML-CIRRUS - The airborne experiment on natural cirrus and contrail cirrus with the high-altitude long-range research aircraft HALO. Bull. Amer. Meteor. Soc., 98, 271-288, doi:10.1175/BAMS-D-15-00213.1. [link]
  • Finger, F., F. Werner, M. Klingebiel, A. Ehrlich, E. Jäkel, M. Voigt, S. Borrmann, P. Spichtinger, and M. Wendisch, 2016: Spectral optical layer properties of cirrus from collocated airborne measurements - a feasibility study. Atmos. Chem. Phys., 16, 7681-7693, [link]
  • Spichtinger, P. and M. Leschner, 2016: Horizontal scales of ice-supersaturated regions. Tellus B, 68, 29020, doi:10.3402/tellusb.v68.29020 [link]
  • Weigel, R., P. Spichtinger, C. Mahnke, M. Klingebiel, A. Afchine, A. Petzold, M. Krämer, A. Costa, S. Molleker, P. Reutter, M. Szakall, M. Port, L. Grulich, T. Jurkat, A. Minikin, and S. Borrmann, 2016: Thermodynamic correction of particle concentrations measured by underwing probes on fast flying aircraft. Atmos. Meas. Tech., 9, 5135-5162. doi: 10.5194/amt-9-5135-2016 [link]
  • Wernli, H., M. Boettcher, H. Joos, A. K. Miltenberger, P. Spichtinger, 2016: A trajectory-based classification of ERA-Interim ice clouds in the region of the North Atlantic storm track. Geophys. Res. Lett., 43, doi: 10.1002/2016GL068922 [link]
  • Chang, D., Y. Cheng, P. Reutter, J. Trentmann, S. Burrows, P. Spichtinger, S. Nordmann, M. O. Andreae, U. Pöschl, and H. Su, 2015: Comprehensive mapping and characteristic regimes of aerosol effects on the formation and evolution of pyro-convective clouds. Atmos. Chem. Phys., 15, 10325-10348, doi:10.5194/acp-15-10325-2015 [link]
  • Reutter, P., Skerlak, B., Sprenger, M., and Wernli, H., 2015: Stratosphere-troposphere exchange (STE) in the vicinity of North Atlantic cyclones, Atmos. Chem. Phys.,15, pp. 10939-10953, doi:10.5194/acp-15-10939-2015. [link]
  • D. Chang, Y. Cheng, P. Reutter, J. Trentmann, S. Burrows, S. Nordmann, M. O. Andreae, U. Pöschl, and H. Su, 2015: Aerosol and dynamic effects on the formation and evolution of pyro-clouds, Atmos. Chem. Phys.15, pp. 10325-10348, doi:10.5194/acp-15-10325-2015. [link]
  • Bretl, S., Reutter, P., Raible, C., Ferrachat, S., Schnadt-Poberaj, C., Revell, L.E., and U. Lohmann, 2015: The influence of absorbed solar radiation by Saharan dust on hurricane genesis, J. Geophys. Res., 120, 1902-1917, doi:10.1002/2014JD022441. [link]
  • Mueller, S., P. Hoor, F. Berkes, H. Bozem, M. Klingebiel, P. Reutter, H.G.J. Smit, M. Wendisch, P. Spichtinger, S. Borrmann, 2015: In-situ detection of stratosphere-troposphere-exchange of cirrus particles in the mid-latitudes. Geophys. Res. Lett., 42, 949-955, doi: 10.1002/2014GL062556. [link]
  • Cirisan, A., B.P. Luo, I. Engel, F.G. Wienhold, U.K. Krieger, U. Weers, G. Romanens, G. Levrat, P. Jeannet, D. Ruffieux, R. Philipona, B. Calpini, P. Spichtinger, and T. Peter, 2014: Balloon-borne match measurements of mid-latitude cirrus clouds. Atmos. Chem. Phys., 14, 7341-7365, doi:10.5194/acp-14-7341-2014. [link]
  • Reutter, P., Trentmann, J., Seifert, A., Neis, P., Su, H., D. Chang, H., Herzog, M., Wernli, H., Andreae, M. O., and Pöschl, U., 2014: 3-D model simulations of dynamical and microphysical interactions in pyro-convective clouds under idealized conditions, Atmos. Chem. Phys.,14, pp. 7573-7583, doi:10.5194/acp-14-7573-2014 [link]
  • Joos, H., P. Spichtinger, P. Reutter, F. Fusina, 2014: Influence of heterogeneous freezing on the microphysical and radiative properties of orographic cirrus clouds. Atmos. Chem. Phys., 14, 6835-6852, doi:10.5194/acp-14-6835-2014. [link]
  • Spichtinger, P., 2014: Shallow cirrus convection - a source for ice supersaturation.Tellus A, 66, 19937, doi:10.3402/tellusa.v66.19937 [link]
  • Beguin, A., O. Martius, M. Sprenger, P. Spichtinger, D. Folini, H. Wernli, 2013: Tropopause level Rossby wave breaking in the Northern Hemisphere: a feature-based validation of the ECHAM5-HAM climate model. Int. J. Climatol., 33, 3073-3082, doi:10.1002/joc.3631. [link]
  • Cirisan, C., P. Spichtinger, B. P. Luo, D. K. Weisenstein, H. Wernli, U. Lohmann, and T. Peter, 2013: Microphysical and radiative changes in cirrus clouds by geoengineering the stratosphere. J. Geophys. Res., 118, 4533-4548, doi: 10.1002/jgrd.50388. [link]
  • Kienast-Sjögren, E., P. Spichtinger, and K. Gierens, 2013: Formulation and test of an ice aggregation scheme for two-moment bulk microphysics schemes. Atmos. Chem. Phys., 13, 9021-9037, doi:10.5194/acp-13-9021-2013. [link]
  • Spichtinger, P. and M. Krämer, 2013: Tropical tropopause ice clouds: a dynamical approach to the mystery of low crystal numbers. Atmos. Chem. Phys., 13, 9801-9818, doi:10.5194/acp-13-9801-2013. [link]
  • Gierens, K., P. Spichtinger, U. Schumann, 2012: Ice Supersaturation. Chapter 9 (pp. 135-150) in: U. Schumann (Editor), Atmospheric Physics, Research Topics in Aerospace. Springer-Verlag, Berlin, Heidelberg, doi:10.1007/978-3-642-30183-4_9 . [link]
  • Isotta, F., P. Spichtinger, U. Lohmann, K. von Salzen, 2011: Improvement and implementation of a parameterization for shallow cumulus in the global climate model ECHAM5-HAM. J. Atmos. Sci., 68, 515-532, doi: 10.1175/2010JAS3447.1 [link]
  • Kübbeler, M., M. Hildebrandt, J. Meyer, C. Schiller, Th. Hamburger, T. Jurkat, A. Minikin, A. Petzold, M. Rautenhaus, H. Schlager, U. Schumann, C. Voigt, P. Spichtinger, J.-F. Gayet, C. Gourbeyre, and M. Krämer, 2011: Thin and subvisible cirrus and contrails in a subsaturated environment. Atmos. Chem. Phys., 11, 5853-5865, doi:10.5194/acp-11-5853-2011. [link]