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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Welcome
About me
Welcome
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
blog
Uncertainty in projections of future climate
While the warming of the climate system through the emission of man-made greenhouse gases is clear from observations, models, and our understanding of the climate system, projections of the future climate face a range of uncertainties. Read more about the most important sources of uncertainty here. 
Introducing a model democracy
Using multiple climate models can help to better estimate the uncertainty due to imperfect modeling of the climate system. Read more about how to estimate uncertainty from model projections of future change here. 
The European cold spell in spring 2016
After an unusually warm and early spring a severe, blocking-related cold-spell hit central Europe in late April 2016. Read more about this in a blog post on climatefootnotes.
news
publications
Publications
Published in , 1900
I have published 18 peer-reviewed articles, which have been cited more than 1000 times according to Google Scholar. My h-index is 13. I have over 50 verified peer-reviews on Web of Science, including for Nature, Science Advances, Geophysical Research Letters, Environmental Research Letters, and Journal of Climate.
teaching
Teaching and Supervision
I am happy to supervise bachelor and master theses on topics related to
- temperature extremes,
- atmospheric blocking,
- future climate model projections and their uncertainties and,
- machine learning for climate sciences.