Michael Flechsig
Potsdam Institute for Climate Impact Research
13 Papers
241 Citations
Michael Flechsig is an academic researcher from Potsdam Institute for Climate Impact Research. The author has contributed to research in topics: Climate change & Climate model. The author has an hindex of 10, co-authored 13 publications.
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Papers
Bayesian calibration, comparison and averaging of six forest models, using data from Scots pine stands across Europe
M. van Oijen,Christopher P. O. Reyer,Friedrich J. Bohn,David Cameron,Gaby Deckmyn,Michael Flechsig,Sanna Härkönen,Florian Hartig,Andreas Huth,Andres Kiviste,Petra Lasch,Annikki Mäkelä,Tobias Mette,Francesco Minunno,Werner Rammer +14 more
TL;DR: In this paper, the authors used six models, ranging from simple parameter-sparse models to complex process-based models: 3PG, 4C, ANAFORE, BASFOR, BRIDGING and FORMIND, to predict forest growth in Austria, Belgium, Estonia and Finland.
100
Regional impacts of climatic change on forests in the state of Brandenburg, Germany
TL;DR: In this paper, two forest gap models, FORSKA and FORCLIM, were applied to simulate vegetation composition using spatially differentiated site data on a 10 × 10-km grid across the state of Brandenburg, Northeast Germany.
71
Scaling Issues in Forest Succession Modelling
TL;DR: In this paper, a review of scaling issues in forest succession modelling, focusing on forest gap models, is presented, where two modes of scaling are distinguished: (1) implicit scaling, taking scale-dependent features into account while developing model equations, and (2) explicit scaling, i.e. using procedures that typically involve numerical simulation to scale up the response of a local model in space and/or time.
63
Visual exploration and evaluation of climate-related simulation data
Thomas Nocke,Michael Flechsig,Uwe Böhm +2 more
- 09 Dec 2007
TL;DR: SimEnvVis as mentioned in this paper is a front-end user interface to a simulation environment that provides a high level of user support for generating visual representations of climate simulation data, including a library of visualization techniques tailored to support exploration and evaluation.
Integrating parameter uncertainty of a process-based model in assessments of climate change effects on forest productivity
Christopher P. O. Reyer,Christopher P. O. Reyer,Michael Flechsig,Petra Lasch-Born,Marcel van Oijen +4 more
TL;DR: In this article, the authors integrate parameter uncertainty into simulations of climate change impacts on forest net primary productivity (NPP) in Scots pine (Pinus sylvestris) stands under climate change.