Publications

Below you will find all publications by CliSAP researchers since the start of CliSAP-1. You can also search according to the following genres:

In order to view publications of particular authors, please refer to their personal profiles in our staff database.

What types of publication are added to the list?

Publications added to the website have to be related to and/or financed by CliSAP.

This includes:

  • Peer reviewed paper
  • Books / book chapters
  • Reports
  • Conference proceedings (only if a poster / abstract was submitted)
  • Working paper
  • Master or doctoral theses (referee jobs do not appear on the personal page)

How to add publications to a list?

Please send an email with the complete reference information, including title, authors, year, journal, and Digital Object Identifier (DOI) to both the Library for Earth System Science and the CliSAP/CEN research coordination.

Library: bis.erdsystemdummy@mpimet.mpgdummy2.de (contact person: Kerstin Raab)
Research coordination: foko.cendummy@uni-hamburgdummy2.de

How to acknowledge CliSAP?

Please, follow that form for any CliSAP publications:

  • Experiment/work was supported through the Cluster of Excellence 'CliSAP' (EXC177), Universität Hamburg, funded through the German Science Foundation (DFG).
  • Please note: KlimaCampus is not used any more.

All CliSAP Publications

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  • Blender, R., & Badin, G. (2017). Construction of Hamiltonian and Nambu forms for the shallow water equations. Fluids, 2: 24. doi:10.3390/fluids2020024.
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  • Graves, T., Franzke, C., Watkins, N. W., Gramacy, R. B., & Tindale, E. (2017). Systematic inference of the long-range dependence and heavy-tail distribution parameters of ARFIMA models. Physica A: Statistical Mechanics and its Applications, 473, 60-71. doi:10.1016/j.physa.2017.01.028.
  • Walz, J., Knoblauch, C., Böhme, L., & Pfeiffer, E.-M. (2017). Regulation of soil organic matter decomposition in permafrost-affected Siberian tundra soils - Impact of oxygen availability, freezing and thawing, temperature, and labile organic matter. Soil Biology and Biochemistry, 110, 34-43. doi:10.1016/j.soilbio.2017.03.001.
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  • Schubert-Frisius, M., Feser, F., von Storch, H., & Rast, S. (2017). Optimal spectral nudging for global dynamical downscaling. Monthly Weather Review, 145, 909-927. doi:10.1175/MWR-D-16-0036.1.
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  • Rodriguez Lopez, J. M., Heider, K., & Scheffran, J. (2017). Frontiers of urbanization: Identifying and explaining urbanization hot spots in the south of Mexico City using human and remote sensing. Applied Geography, 79, 1-10. doi:10.1016/j.apgeog.2016.12.001.
  • Haita-Falah, C. (2017). Sunk-cost fallacy and cognitive ability in individual decision-making. Journal of Economic Psychology, 58, 44-59. doi:10.1016/j.joep.2016.12.001.
  • Peters, K., Crueger, T., Jakob, C., & Moebis, B. (2017). Improved MJO-simulation in ECHAM6.3 by coupling a stochastic multicloud model to the convection scheme. Journal of Advances in Modeling Earth Systems, 9, 193-219. doi:10.1002/2016MS000809.
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  • Sismanidis, P., Keramitsoglou, I., Bechtel, B., & Kiranoudis, C. T. (2017). Improving the Downscaling of Diurnal Land Surface Temperatures Using the Annual Cycle Parameters as Disaggregation Kernels. Remote Sensing, 9(1): 23. doi:10.3390/rs9010023.
  • Franzke, C. (2017). Extremes in dynamic-stochastic systems. Chaos, 27(1). doi:10.1063/1.4973541.
  • Rodriguez Lopez, J. M., Heider, K., & Scheffran, J. (2017). Human and remote sensing data to investigate the frontiers of urbanization in the south of Mexico City. Data in Brief, 11, 5-11. doi:10.1016/j.dib.2016.12.049.
  • King, J., Spreen, G., Gerland, S., Haas, C., Hendricks, S., Kaleschke, L., & Wang, C. (2017). Sea-ice thickness from field measurements in the northwestern Barents Sea. Journal of Geophysical Research: Oceans, available online. doi:10.1002/2016JC012199.
  • Franzke, C., & O'Kane, T. (Eds.). (2017). Nonlinear and Stochastic Climate. Cambridge: Cambridge University Press.
  • Gottwald, G., Crommelin, D., & Franzke, C. (2017). Stochastic Climate Theory. In C. Franzke, & T. O'Kane (Eds.), Nonlinear and Stochastic Climate Dynamics (pp. 54-104). Cambridge: Cambridge University Press.
  • Feldstein, S., & Franzke, C. (2017). Atmospheric Teleconnection Patterns. In C. Franzke, & T. O'Kane (Eds.), Nonlinear and Stochastic Climate Dynamics (pp. 209-240). Cambridge: Cambridge University Press.
  • Rodriguez Lopez, J. M., Sakhel, A., & Busch, T. (2017). Corporate investments and environmental regulation: The role of regulatory uncertainty, regulation-induced uncertainty, and investment history. European Management Journal, 35, 91-101. doi:10.1016/j.emj.2016.06.004.
  • Köpsel, V., Walsh, C., & Leyshon, C. (2016). Landscape narratives in practice: implications for climate change adaptation. The Geographical Journal. doi:10.1111/geoj.12203.
  • Blender, R., Raible, C. C., & Franzke, C. L. E. (2016). Vorticity and geopotential height extreme values in ERA-Interim data during boreal winters. Quarterly Journal of the Royal Meteorological Society. doi:10.1002/qj.2944.
  • Holdschlag, A., Krause, L., & Ratter, B. (2016). Bioinvasion des Pazifischen Rotfeuerfisches (Pterois volitans). Sozial-ökologische Anpassung in den Bahamas. Geographische Rundschau, 10/2016, 44-50.
  • Broussea, O., Martilli, A., Foley, M., Mills, G., & Bechtel, B. (2016). WUDAPT, an efficient land use producing data tool for mesoscale models? Integration of urban LCZ in WRF over Madrid. Urban Climate, 17, 116-134. doi:10.1016/j.uclim.2016.04.001.
  • Alexander, P., Bechtel, B., Chow, W., Fealy, R., & Mills, G. (2016). Linking urban climate classification with an urban energy and water budget model: Multi-site and multi-seasonal evaluation. Urban Climate, 17, 196-215. doi:10.1016/j.uclim.2016.08.003.