Today Felix and Katharina left Innsbruck, their car packed with our COS-QCL, to set up the instrument for the joint flux measurements at the Leinefelde flux tower (Germany) run by Alexander Knohl.


Today Felix and Katharina left Innsbruck, their car packed with our COS-QCL, to set up the instrument for the joint flux measurements at the Leinefelde flux tower (Germany) run by Alexander Knohl.
This weekend Georg, Lorenz and Fabien headed towards Peru to bring and set up instrumentation for the “AgroClim Huaraz” project.
Packed for Peru
During the ongoing International Mountain Conference 2019 hosted by the University of Innsbruck, Marta Galvagno, Mathias Rotach and Georg (in ‘action’ in picture below), organized a workshop on “Challenges in Quantifying and Simulating the Land-Atmosphere Exchange in Mountain regions” during which an international group of scientists with a diverse range of backgrounds discussed the major uncertainities in land-atmosphere exchange and how to address these.
Image courtesy of Christian Lamprecht
Peaucelle M., Bacour C., Ciais P., Vuichard N., Kuppel S., Penuelas J., Belelli Marchesini L., Blanken P.D., Buchmann N., Chen J., Delpierre N., Desai A.R., Dufrêne E., Gianelle D., Gimeno-Colera C., Gruening C., Helfter C., Hörtnagl L., Ibrom A., Joffre R., Kato T., Kolb T., Law B., Lindroth A., Mammarella I., Merbold L., Minerbi S., Montagnani L., Šigut L., Sutton M., Varlagin A., Vesala T., Wohlfahrt G., Wolf S., Yakir D., Viovy N., Lenoir J. (2019) Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model. Global Ecology and Biogeography 28, 1351-1365, doi: 10.1111/geb.12937. [OPEN ACCESS]
Bandopadhyay S., Rastogi A., Rascher U., Rademske P., Schickling A., Cogliati S., Julitta T., Mac Arthur A., Hueni A., Tomelleri E., Celesti M., Burkart A., Stróżecki M., Sakowska K., Gąbka M., Rosadziński S., Sojka M., Iordache M.-D., Reusen I., Van Der Tol C., Damm A., Schuettemeyer D., Juszczak R. (2019) Hyplant-Derived Sun-Induced Fluorescence—A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types. Remote Sensing 11, 1691, doi: 10.3390/rs11141691.