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Faculty for Biology, Chemistry and Earth Sciences

Micrometeorology - Prof. Christoph Thomas

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Lena Pfister

Lena Pfister

Doctoral student

Phone: +49 (0) 921-55 2174
Room: B II, Raum 11
e-Mail: lena.pfister(at)uni-bayreuth.de


PhD student working on 'Improving our understanding of the atmospheric weak wind boundary layer using spatially explicit observations near the ground surface'.

I am using the Distributed Tempersture Sensing (DTS) technique to investigate nocturnal weak wind situations in gentle terrain.

Right now I am analyzing the Shallow Cold Pool (SCP) experiment near Wellington in Colorado (USA) from 2012. The aim of this study was to investigate the formation and maintenance of common shallow cold pools during September, October and November. In this field project a fiber-optic DTS-network with one heated and one unheated glass fiber cable was installed to measure downslope wind speeds and temperatures with a spatial and temporal resolution of 0.125 m and 5 s. 

After this study I will work together with Prof. Dr. Christoph Thomas and the team on the ERC DarkMix project .



Selected Publications

1Pfister, L; Lapo, K; Sayde, C; Selker, JS; Mahrt, L; Thomas, CK: Classifying the nocturnal atmospheric boundary layer into temperature and flow regimes, Quarterly Journal of the Royal Meteorological Society (2019), doi:10.1002/qj.3508
2Pfister, L; Sigmund, A; Olesch, J; Thomas, CK: Nocturnal Near-Surface Temperature, but not Flow Dynamics, can be Predicted by Microtopography in a Mid-Range Mountain Valley, Boundary-Layer Meteorology (2017), doi:10.1007/s10546-017-0281-y
3Sigmund, A; Pfister, L; Sayde, C; Thomas, CK: Quantitative analysis of the radiation error for aerial coiled-fiber-optic distributed temperature sensing deployments using reinforcing fabric as support structure, Atmospheric Measurement Techniques, 10(6), 2149-2162 (2017), doi:10.5194/amt-10-2149-2017
4Sigmund, A; Pfister, L; Sayde, C; Thomas, CK: Quantitative analysis of the radiation error for aerial coiled fiber-optic Distributed Temperature Sensing deployments using reinforcing fabric as support structure, Atmospheric Measurement Techniques Discussions, 2016, 1-26 (2016), doi:10.5194/amt-2016-266
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