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Claudia von Brömssen

Claudia von Brömssen
I am senior lecturer in statistics with intrest in environmental assessment.

Presentation

I work with statistics in various areas within SLU, such as statistical consultancy and research. My research intrests are statistical models for environmental assessment, e.g. trend analysis and meteorological or hydrological normalization of data. During 2016 I work in projects for the Swedish Environmental Protection Agency, the Swedish Agency for Marine and Water Management, the Swedish Institute for the Marine Environment and for IVL.

Statistical consultancy is provided through the centre for statistics.

Teaching

I have been teaching on various levels anf for different programs at SLU and Linköpings universitet. At the moment I teach mainly statistics courses for Ph. D. students in other subjects than statistics. 

 I am responsivle for the Ph. D. courses Statistics I - Basic Statistics and   Statistics III - Regression analysis.

Background

I am Ph. D. in statistics (2003, Linköpings universitet). Since 2007 I work as senior lecturer at SLU.

Selected publications

von Brömssen C, Fölster J, Futter M, McEwan K. Statistical models for evaluating suspected artefacts in long-term environmental monitoring data. Environ Monit Assess (2018) 190: 558. https://doi.org/10.1007/s10661-018-6900-3

Grimvall Anders, Von Brömssen Claudia, Lindström Göran. Using process-based models to filter out natural variability in observed concentrations of nitrogen and phosphorus in river water . Environmental Monitoring And Assessment, 186 (8), pp.5135-5152. 2014

Burauskaite-Harju A, Grimvall A and von Brömssen C. A test for network-wide trends in rainfall extremes. International Journal of Climatology, vol. 32 nr 1 86-9. 2012

Temnerud, J; von Brömssen, c; Fölster, J; Buffam, I; Anderssonj.-O.; Nyberg, L;, and Bishop, K.. Map-based prediction of organic carbon in headwater streams improved by downstream observations from the river outlet. Biogeosciences, 13, 399–413, 2016


Contact
Senior Lecturer at the Department of Energy and Technology; Applied statistics and mathematics
Telephone: 018-671720
Postal address:
Inst för Energi och Teknik
Box 7032
75007 Uppsala
Visiting address: Lennart Hjelms väg 9, Uppsala