Bjorn Stevens

Prof. Dr. Bjorn Stevens

Principal Investigator (external funding)

Contact

Max Planck Institute for Meteorology (MPI-M)
Room 414
Bundesstraße 53
20146 Hamburg

+49 40 41173 421
bjorn.stevensdummy@mpimet.mpgdummy2.de

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CliSAP Publications

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  • Lammert, A., Hansen, A., Ament, F., Crewell, S., Dick, G., Grützun, V., Klein-Baltink, H., Lehmann, V., Macke, A., Pospichal, B., Schubotz, W., Seifert, P., Stamnas, E., & Stevens, B. (2019). A Standardized Atmospheric Measurement Data (SAMD) Archive for distributed cloud and precipitation process-oriented observations in Central Europe. Bulletin of the American Meteorological Society, 100, 1299-1314. doi:10.1175/BAMS-D-18-0174.1.
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  • Konow, H., Jacob, M., Ament, F., Crewell, S., Ewald, F., Hagen, M., Hirsch, L., Jansen, F., Mech, M., & Stevens, B. (2019). A unified data set of airborne cloud remote sensing using the HALO Microwave Package (HAMP). Earth System Science Data, 11, 921-934. doi:10.5194/essd-11-921-2019.
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  • Stevens, B., Ament, F., Bony, S., Crewell, S., Ewald, F., Gross, S., Hansen, A., Hirsch, L., Jacob, M., Kölling, T., Konow, H., Mayer, B., Wendisch, M., Wirth, M., Wolf, K., Bakan, S., Bauer-Pfundstein, M., Brueck, M., Delanoë, J., Ehrlich, A., Farrell, D., Forde, M., Gödde, F., Grob, H., Hagen, M., Jäkel, E., Jansen, F., Klepp, C., Klingebiel, M., Mech, M., Peters, G., Rapp, M., Wing, A., & Zinner, T. (2019). A high-altitude long-range aircraft configured as a cloud observatory – the NARVAL expeditions. Bulletin of the American Meteorological Society, 100, 1061-1077. doi:10.1175/BAMS-D-18-0198.1.
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  • Mauritsen, T., Bader, J., Becker, T., Behrens, J., Bittner, M., Brokopf, R., Brovkin, V., Claussen, M., Crueger, T., Esch, M., Fast, I., Fiedler, S., Popke, D., Gayler, V., Giorgetta, M. A., Goll, D. S., Haak, H., Hagemann, S., Hedemann, C., Hohenegger, C., Ilyina, T., Jahns, T., Jimenez Cuesta de la Otero, D., Jungclaus, J. H., Kleinen, T., Kloster, S., Kracher, D., Kinne, S., Kleberg, D., Lasslop, G., Kornblueh, L., Marotzke, J., Matei, D., Meraner, K., Mikolajewicz, U., Modali, K., Möbis, B., Müller, W. A., Nabel, J. E. M. S., Nam, C., Notz, D., Nyawira, S. S., Paulsen, H., Peters, K., Pincus, R., Pohlmann, H., Pongratz, J., Popp, M., Raddatz, T., Rast, S., Redler, R., Reick, C. H., Rohrschneider, T., Schemann, V., Schmidt, H., Schnur, R., Schulzweida, U., Six, K. D., Stein, L., Stemmler, I., Stevens, B., von Storch, J. S., Tian, F., Voigt, A., de Vrese, P., Wieners, K.-H., Wilkenskjeld, S., Roeckner, E., & Winkler, A. (2019). Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and its response to increasing CO2. Journal of Advances in Modeling Earth Systems, 11, 998-1038. doi:10.1029/2018MS001400.
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  • Klingebiel, M., Ghate, V. P., Naumann, A. K., Ditas, F., Pöhlker, M. L., Pöhlker, C., Kandler, K., Konow, H., & Stevens, B. (2019). Remote sensing of sea salt aerosol below trade wind clouds. Journal of the Atmospheric Sciences, 76, 1189-1202. doi:10.1175/JAS-D-18-0139.1.
  • Naumann, A. K., Stevens, B., & Hohenegger, C. (2019). A moist conceptual model for the boundary layer structure and radiatively driven shallow circulations in the trades. Journal of the Atmospheric Sciences, 76, 1289-1306. doi:10.1175/JAS-D-18-0226.1.
  • Fiedler, S., Stevens, B., Gidden, M., Smith, S. J., Riahi, K., & van Vuuren, D. (2019). First forcing estimates from the future CMIP6 scenarios of anthropogenic aerosol optical properties and an associated Twomey effect. Geoscientific Model Development, 12, 989-1007. doi:10.5194/gmd-12-989-2019.
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  • Bony, S., & Stevens, B. (2019). Measuring area-averaged vertical motions with dropsondes. Journal of the Atmospheric Sciences, 76, 767-783. doi:10.1175/JAS-D-18-0141.1.
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  • Neumann, P., Dueben, P., Adamidis, P., Bauer, P., Brueck, M., Kornblueh, L., Klocke, D., Stevens, B., Wedi, N., & Biercamp, J. (2019). Assessing the scales in numerical weather and climate predictions: Will Exascale be the rescue? Philosophical Transactions of the Royal Society A, 377: 201848. doi:10.1098/rsta.2018.0148.
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  • Reichstein, M., Camps-Valls, G., Stevens, B., Jung, M., Denzler, J., Carvalhais, N., & Prabhat (2019). Deep learning and process understanding for data-driven Earth system science. Nature, 566, 195-204. doi:10.1038/s41586-019-0912-1.