Publikationen von F. Gans

Gans, F.; Miller, L. M.; Kleidon, A.: The problem of the second wind turbine – a note on a common but flawed wind power estimation method. Earth System Dynamics 3, S. 79 - 86 (2012)

Dyke, J. G.; Gans, F.; Kleidon, A.: Towards understanding how surface life can affect interior geological processes: a non-equilibrium thermodynamics approach. Earth System Dynamics 2, S. 139 - 160 (2011)

Miller, L. M.; Gans, F.; Kleidon, A.: Estimating maximum global land surface wind power extractability and associated climatic consequences. Earth System Dynamics 2, S. 1 - 12 (2011)

Miller, L. M.; Gans, F.; Kleidon, A.: Jet stream wind power as a renewable energy resource: little power, big impacts. Earth System Dynamics 2 (2), S. 201 - 212 (2011)

Reichstein, M.; Ahrens, B.; Kraft, B.; Camps-Valls, G.; Carvalhais, N.; Gans, F.; Gentine, P.; Winkler, A.: Combining system modeling and machine learning into hybrid ecosystem modeling. In: Knowledge-Guided Machine Learning, 9781003143376, S. 327 - 352 (Hg. Kannan, R.; Kumar, V.). Chapman & Hall, London (2022)

Mahecha, M. D.; Guha-Sapir, D.; Smits, J.; Gans, F.; Kraemer, G.: Data challenges limit our global understanding of humanitarian disasters triggered by climate extremes. In: Climate Extremes and Their Implications for Impact and Risk Assessment, S. 243 - 256 (Hg. Sillmann, J.; Sippel, S.; Russo, S.). Elsevier, Amsterdam (2019)

Gans, F.; Miller, L.; Kleidon, A.: Abschätzung des Windenergiepotenzials von Deutschland. In: Kraftwerkstechnik: Sichere und nachhaltige Energieversorgung, Band 4, S. 729 - 736 (Hg. Beckmann, M.; Hurtado, A.). TK Verlag, Karl Thomé-Kozmiensky,, Neuruppin (2012)

Kleidon, A.; Gans, F.; Miller, L.; Pavlick, R.: Sonne, Wind und Wellen - Natürliche Grenzen erneuerbarer Energien im Erdsystem. In: Kraftwerkstechnik, Bd. 3, S. 463 - 470 (Hg. Beckmann, H.). TK Verlag, Neuruppin (2011)

Brandt, G.; Balfanz, A.; Fomferra, N.; Harish, T. M.; Mahecha, M.; Kraemer, G.; Montero, D.; Meißl, S.; Achtsnit, S.; Umlauft, J. et al.; Neumann, A.; Horton, A.; Ewart, M.; Gans, F.; Anghelea, A.: DeepESDL – an open platform for research and collaboration in Earth Sciences. EGU General Assembly 2023, EGU23-15225, Vienna, Austria, 24. April 2023 - 28. April 2023. EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-15225, (2023)

Reichstein, M.; Besnard, S.; Carvalhais, N.; Gans, F.; Jung, M.; Kraft, B.; Mahecha, M. D.: Modelling landsurface time-series with recurrent neural nets. In: 2018 IEEE International geoscience and remote sensing symposium (IGARSS), S. 7640 - 7643. Valencia, 2018 (2018)