In this project you get to work with climate data from microclimate loggers, and local climate stations. We use these data to fully disentangle the effect of mini-greenhouses, called Open-Top Chambers (OTCs) that are being used in climate change experiments in alpine and arctic ecosystems worldwide to investigate the effect of climate warming on vegetation.
These open-top chambers are designed to heat the vegetation with approximately 2 degrees, without much side effects. We have an experiment with these chambers at four different locations from 2018 till present day.
With these data we have the opportunity to look into the effects of these chambers on a windy day, the effects on soil moisture, heating differences at different times of day, etc. All of these could have consequences for our experiment, and other experiments using the same method globally. Being able to work with big data is a more and more acquired trait from the work force, and would be a great advantage for the work with a masters thesis.
Skills you will develop: working with big data, data management, critically analyze climate change experiment data, familiarize yourself with a commonly used method in climate change experiments
Interested? Reach out to Ragnhild Gya & Joseph Gaudard
Requirements for prior knowledge
It is an advantage if you have some prior knowledge of data management and/or experience with coding in R/python or other languages. Motivation to learn can also get you very far.
