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Working Group Leader. Christoph is the working group leader of the RD2 working group Land Use and Resilience, and leads the Global Biosphere and Water Modeling group jointly with Kirsten Thonicke and Dieter Gerten. He is acting as the scientist-in-charge for the LPJmL model at PIK.
- Available Online
Portal of the Potsdam Institute for Climate Impact Research
- Susanne Rolinski
"Globale Ökologie" ("global ecology") as lecture with...
- Alexander Popp
Alexander Popp leads the research group on Land-Use...
- Wolfgang Lucht
Wolfgang Lucht graduated from the University of Kiel with a...
- Available Online
Potsdam Institute for Climate Impact Research (PIK): Potsdam, Brandenburg, DE. Employment. Show more detail. Source: Christoph Müller. expand_more.
https://people.ucd.ie/christoph.mueller/about. 1995 Doctor of Philosophy (Lincoln University, New Zealand. 1991 Master of Science (University of Reading, United Kingdom) Soil Science - Soil Water Mamagement. 1990 Diplom-Ingenieur (FH) in Horticulture (Gartenbau)
Feb 26, 2021 · We provide a comprehensive evaluation of uncertainty in projected crop yields for maize, spring and winter wheat, rice, and soybean, using a suite of nine crop models and up to 45 CMIP5 and 34 CMIP6 climate projections for three different forcing scenarios.
May 8, 2019 · With the publication of the GGCMI phase 1 dataset we aim to promote further analyses and understanding of crop model performance, potential relationships between productivity and environmental impacts, and insights on how to further improve global gridded crop model frameworks.
- Christoph Müller, Joshua Elliott, David Kelly, Almut Arneth, Juraj Balkovic, Juraj Balkovic, Philipp...
- 2019
We supply a set of climate impact scenarios on agricultural land productivity derived from two climate models and two biophysical crop growth models to account for some of the uncertainty inherent in climate and impact models.
The Global Gridded Crop Model Intercomparison (GGCMI) phase 1 dataset of the Agricultural Model Intercomparison and Improvement Project (AgMIP) provides an unprecedentedly large dataset of crop ...
