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Annika Künne

wiss. Mitarbeiterin
Dipl.-Geographin
Annika Künne


Anschrift

Institut für Geographie
Department of GISsience Group
Room 124
Grietgasse 6
07743 Jena

Phone: +49 3641-9-48858
Fax: +49 3641-9-48852
office hours:
nach Vereinbarung

Annika Künne

Research assistant


As a PhD student at the GI Science Group my expertise lies in ecohydrological assessment as well as evaluation of climate and land use change impacts on river basin scale. For this purpose, I develop and apply process based simulation models to predict ecohydrological dynamics under changing environmental conditions, and use these models to evaluate the impacts of changing climate, land use and management on hydrology. In addition, I design and implement hydro-climatic monitoring networks and analyze environmental data sets using geostatistical methods. My regional foci are Brazil and Germany.


Key research areas

  • Ecohydrological assessment
  • Impact analysis of climate and land use changes on hydrology
  • Ecohydrological and environmental modelling
  • Design, implementation and maintenance of hydrological monitoring networks

Projects

Curriculum vitae

since 01/2013

Research assistant and PhD student at the GI Science Group at FSU Jena
07/2009 - 06/2012
Research assistant at the Institute for Technology und Resources management in the Tropics and Subtropics (ITT) at the Cologne University of Applied Sciences
04/2003 - 11/2007
Study of Geography (Diploma) at the Friedrich Schiller University, Jena


Thesis: "Development of a geo-statistical Method to regionalize the modelled water and substance output from representative catchments to landscape types of the state Thuringia (Germany)"

Selected Publications

  • Künne, A., Kralisch, S., Santos, J. M. & Flügel, W.-A. (2019). Ecohydrological modeling and scenario impact assessment in rural Rio de Janeiro. In: Strategies and tools for a sustainable rural Rio de Janeiro Springer Series on Environmental Management. Editors: Nehren, U., Schlüter, S., Raedig, C., Sattler D., Hissa, H., Springer International Publishing AG, part of Springer Nature 2019. https://doi.org/10.1007/978-3-319-89644-1
  • Santos, J. M., Künne, A., Kralisch, S., Fink, M. & Brenning, A. (2019). Analyzing Hydro-Climatic Data to Improve Hydrological Understanding in Rural Rio de Janeiro , Southeast Brazil. In: Strategies and tools for a sustainable rural Rio de Janeiro Springer Series on Environmental Management. Editors: Nehren, U., Schlüter, S., Raedig, C., Sattler D., Hissa, H., Springer International Publishing AG, part of Springer Nature 2019. https://doi.org/10.1007/978-3-319-89644-1
  • Penedo-Julien, S., Nauditt, A., Künne, A., Souvignet, M. and Krause, P. (2018). Hydrological Modeling to Assess Runoff in a Semi-arid Andean Headwater Catchment for Water Management in Central Chile. In: Andean Hydrology. Editors: Rivera, D.; Godoy-Faundez, A.; Lilo-Saavedra, M., CRC Press, Taylor & Francis Group, ISBN 9781498788403
  • Künne, A., Fink, M., Kipka H., Krause P. & Flügel, W.-A. (2012). Regionalization of meso-scale physically based nitrogen modeling outputs to the macro-scale by the use of regression trees. In: Proceedings of the 14th Workshop on Large-scale Hydrological Modelling. Editor(s): R. Ludwig, K. Schulz, and M. Disse. Adv. Geosci., Vol. 31, 15-21, 2012. doi: 10.5194/adgeo-31-15-2012.
  • Penedo-Julien, S., Künne, A., Bardy-Prado, R., Schuler, A., Roehrig, J. & Ribbe, L. (2011). Implementation of a Hydro-climatic Monitoring Network in the Guapi-Macacu River Basin in Rio de Janeiro, Brazil. XIVth IWRA World Water Congress. Porto de Galinhas. https://www.iwra.org/member/congress/resource/PAP00-5976.pdf
  • Krause, P., Bende-Michl, U., Helmschrot, J., Künne, A. & Fink, M. (2009). Parameter sensitivity analysis of the J2000s model to improve water and nutrient transport process simulation - a case study for the Duck catchment in Tasmania", in 'MODSIM 2009 International Congress on Modeling and Simulation'.
  • Bäse, F., Bende-Michl, U., Fink, M., Flügel, W.-A., Kipka, H., Krause, P. & Künne, A. (2007). Über die Wirkungen von Agrarumweltmaßnahmen im Hinblick auf eine Frachtreduzierung in Thüringer Wasserkörper Modellentwicklung und Modellanwendung für die Testgebiete: Obere Gera, Obere Helme & Lossa sowie geostatistisch gestützte Übertragung und Hochrechnung auf die Nitratüberschußgebiete in Thüringen. Jena. Unveröffentlichte Studie. Unpublished.
Dipl. Geogr. Annika Künne
Research assistant

Visiting address

Lehrstuhl für Geoinformatik
Raum 124
Grietgasse 6
07743 Jena

Postal address

Institut für Geographie
Lehrstuhl für Geoinformatik
Löbdergraben 32
07737 Jena

Phone.:  +49-3641-9-48858
Fax.: +49-3641-9-48852
annika.kuenne[at]uni-jena.de
Office hours
by appointment