CliSAP successfully finished in 2018. Climate research continues in the Cluster of Excellence "CLICCS".

All B5 Publications

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  • Wang, R., Cai, M., Ren, C., Bechtel, B., Xu, Y., & Ng, E. (2019). Detecting multi-temporal land cover change and land surface temperature in Pearl River Delta by adopting local climate zone. Urban Climate, 28: 100455. doi:10.1016/j.uclim.2019.100455.
  • Liu, Z., Zhan, W., Lai, J., Hong, F., Quan, J., Bechtel, B., Huang, F., & Zou, Z. (2019). Balancing prediction accuracy and generalization ability: A hybrid framework for modelling the annual dynamics of satellite-derived land surface temperatures. ISPRS Journal of Photogrammetry and Remote Sensing, 151, 189-206. doi:10.1016/j.isprsjprs.2019.03.013.
  • Bechtel, B., Alexander, P. J., Beck, C., Böhner, J., Brousse, O., Ching, J., Demuzere, M., Fonte, C., Gál, T., Hidalgo, J., Hoffmann, P., Middel, A., Mills, G., Ren, C., See, L., Sismanidis, P., Verdonck, M.-L., Xu, G., & Xu, Y. (2019). Generating WUDAPT Level 0 data – Current status of production and evaluation. Urban Climate, 27, 24-45. doi:10.1016/j.uclim.2018.10.001.
  • Demuzere, M., Bechtel, B., & Mills, G. (2019). Global transferability of local climate zone models. Urban Climate, 27, 46-63. doi:10.1016/j.uclim.2018.11.001.
  • Hidalgo, J., Dumas, G., Masson, V., Petit, G., Bechtel, B., Bocher, E., Foley, M., Schoetter, R., & Mills, G. (2019). Comparison between local climate zones maps derived from administrative datasets and satellite observations. Urban Climate, 27, 64-89. doi:10.1016/j.uclim.2018.10.004.
  • Thomsen, S., Reisdorff, C., Gröngröft, A., Jensen, K., & Eschenbach, A. (2019). “Responsiveness of mature oak trees (Quercus robur L.) to soil water dynamics and meteorological constraints in urban environments”. Urban Ecosystems, available online. doi:10.1007/s11252-019-00908-z.
  • Mueller, P., Ladiges, N., Jack, A., Schmiedl, G., Kutzbach, L., Jensen, K., & Nolte, S. (2019). Assessing the long-term carbon-sequestration potential of the semi-natural salt marshes in the European Wadden Sea. Ecosphere, 10(1): e02556. doi:10.1002/ecs2.2556.
  • Salim, M. H., Schlünzen, H., Grawe, D., Boettcher, M., Gierisch, A. M. U., & Fock, B. (2018). The microscale obstacle-resolving meteorological model MITRAS v2.0: model theory. Geoscientific Model Development, 11(8), 3427-3445. doi:10.5194/gmd-11-3427-2018.
  • Fischereit, J., & Schluenzen, K. H. (2018). Evaluation of thermal indices for their applicability in obstacle-resolving meteorology models. International Journal of Biometeorology, 62, 1887-1900. doi:10.1007/s00484-018-1591-6.
  • Karki, R., Hasson, S., Gerlitz, L., Talchabhadel, R., Schenk, E., Schickhoff, U., Scholten, T., & Böhner, J. (2018). WRF-based simulation of an extreme precipitation event over the Central Himalayas: Atmospheric mechanisms and their representation by microphysics parameterization schemes. Atmospheric Research, 214, 21-35. doi:10.1016/j.atmosres.2018.07.016.

Related Publications (CliSAP 1, 2007-2012)

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  • Bechtel, B. (2012). Classification of Local Climate Zones from multitemporal remote sensing data. Urban Climate News, 46, 7-14.
  • Wiesner, S., Eschenbach, A., & Ament, F. (2012). Erfassung des Einflusses von Feuchte- und Energieflüssen städtischer Böden auf das lokale Klima. In Tagungsband zur 31. Sitzung des Arbeitskreis Klima.
  • Schlünzen, H. (2012). Stadtklima: Wärmeinseln im Treibhaus. Spektrum der Wissenschaft - Extra,
  • Sandoval, S., Eschenbach, A., & Ament, F. (2012). Erfassung des Einflusses von Feuchte- und Energieflüssen städtischer Böden auf das lokale Klima. In Wissenschaftliche Mitteilungen aus dem Institut für Meteorologie der Universität Leipzig, 49: METTOOLS VIII Tagungsband (pp. 129).
  • Sandoval, S., Ament, F., & Eschenbach, A. (2011). Observing moisture and energy exchange of urban soils and the impact on local climate. Geophysical Research Abstracts, 13, EGU2011-7819.
  • Tomassini, L., Hagemann, S., Moseley, C., Haumann, A., Podzun, R., & Jacob, D. (2011). Extremes and predictability in the European pre-industrial climate of a regional climate model. Climate Dynamics, 36, 2371-2397. doi:10.1007/s00382-010-0814-2.
  • Sandoval, S., Ament, F., & Eschenbach, A. (2010). Hamburg Urban Soil Climate Observatory (HUSCO): A concept to assess the impact of moisture and energy fluxes of urban soils on local climate. Geophysical Research Abstracts, 12, EGU2010-4265.