News
Including icebergs in computer models helps to better understand past climate change
In their new study Olga Erokhina and Uwe Mikolajewicz showed that adding icebergs to climate models can help scientists better understand the…
Rain rather likes dry soils in a next-generation global climate model
In a recent study, Dr. Junhong Lee and Dr. Cathy Hohenegger show that a next-generation climate model exhibits a different relationship between water…
Towards resolving internal tides in the ocean
In a recent publication, Prof. Jin-Song von Storch together with other scientists showed that the ocean component of the ICON model is able to…
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International Climate Protection Fellows of the Alexander von Humboldt Foundation visit Hamburg
A group of climate protection fellows from South America, Asia and Africa will be visiting the Max Planck Institute for Meteorology (MPI-M) and the…
Coordinating climate modeling to stimulate climate science
In a commentary recently published in AGU Advances, Prof. Bjorn Stevens, Director of the Climate Physics Department of the Max Planck Institute for…
Extremely warm European summers are preceded by North Atlantic Ocean heat accumulation
In a new study, Lara Wallberg, together with Laura Suarez-Gutierrez, Daniela Matei, and Wolfgang Müller have investigated the relationship between…
Our Research
Revisiting the Blue Marble: ICON simulating the coupled climate system at 1 km
The early 1970s is often associated with the birth of the modern environmental movement. In 1970 the first Earth day was celebrated, and Greenpeace was founded in 1971. In March 1972 the Club of Rome published its influential report entitled the “limits of growth”. The growing environmental consciousness was ...
The International Max Planck Research School on Earth System Modelling
The International Max Planck Research School on Earth System Modelling (IMPRS-ESM) offers a structured, interdisciplinary and international program for graduate students who want to earn a PhD degree. The main focus of our doctoral program is to advance our understanding of processes and dynamics in the Earth system as well as our prediction skills.
