3 July 2019

e-learning: From historical climate data to hazard maps

Stefan Brönnimann from the PALAEO-RA project of the Institute of Geography ( has released an e-learning tool for weather reconstructions. On, students and anyone interested can learn step-by-step how historical manuscript data can eventually lead to complex climate information such as hazard maps. The tool focuses on sources of uncertainty and the application of reanalysis data and other data products in a meaningful way. Data can be downloaded for analyses in statistical software and visualization tools. The sections Climate Data, Global Reanalyses and Downscaling and Applications each starts with a very short text and the video followed by 2–4 subsections, typically with an exercise.

In addition, introduction videos give a concise overview of each section:

Historical Climate Data,




Downscaling and Applications

6 May 2020

Historical weather diaries as a basis for climate research

Historical weather observations help to understand atmospheric processes behind weather and climate events. The weather diary of the Kirch family from Berlin covers almost a century and provides the basis for the longest measurement series in Germany. In his Sabbatical, Stefan Brönnimann photographed the diary in Berlin. In the video he explains his work.

7 May 2020

Kreisdiagramm zur COVID-19 Umfrage am GIUB

Results of GIUB survey «Care and Work in Times of Covid-19» now online

In March, the GIUB Equal Opportunity Commission conducted a survey among all employees on working conditions and care responsibilities during the Covid-19 emergency. The results show that GIUB employees have to reconcile the burden of work and caring responsibilities, which results in extraordinary burdens and stressful situations. Employees are also concerned about the impact of the crisis on their career. The Institute Council makes recommendations to help working groups and researchers in this situation. The results and recommendations are published on this page.

GIUB Survey Results Covid-19 (PDF, 296KB)