In a new study Aaron Spring, Dr. Tatiana Ilyina and Prof. Jochem Marotzke, scientists at the Max Planck Institute for Meteorology (MPI-M), show that atmospheric CO2 concentrations fluctuate so much that a slowdown in CO2 increase would only be distinctly attributable to CO2 emission reductions after a decade.
With introduction by SC20 General Chair Christine E. Cuicchi, view the keynote talk at “SC20: The International Conference for High Performance Computing, Networking, Storage, and Analysis” featuring Professor Bjorn Stevens of the Max Planck Institute for Meteorology. Prof. Stevens discusses how exascale computing is impacting two opportunities that are changing the face of climate science. One arises from what exascale will enable; the other from what it will not.
Globally, about 22 million square kilometres (Mio km2) of forest have been removed between AD 800 and 2015. This deforestation might double until 2100 under the most pessimistic land-use scenario. To understand how deforestation affects climate, carbon and water fluxes is very important in view of anticipated climate change mitigation and adaptation actions.
This visualisation illustrates the vision to simulate small-scale processes explicitly on a global scale, thus reducing the need for parametrisations in climate models. The two different data sets used for the scientific visualisations are results of simulations the ICON model — the Icosahedral Nonhydrostatic Weather and Climate Model jointly developed by the Max Planck Institute for Meteorology (MPI-M) and Germany's National Meteorological Service Deutscher Wetterdienst (DWD).
Prof. Bjorn Stevens, director and head of the department “The Atmosphere in the Earth System” at the Max Planck Institute for Meteorology (MPI-M), and his colleagues Pier Siebesma (Delft University of Technology), Sandrine Bony (Laboratoire de Météorologie Dynamique), and Christian Jakob (Monash University) have edited a new book called “Clouds and Climate: Climate Science´s Greatest Challenge”.
“Geoengineering” or “climate engineering” refers to various ideas to mitigate the greenhouse effect through technological solutions. With the help of climate models, researchers are investigating two strategies: The first is Carbon Dioxide Removal, or CDR. The second method is called Solar Radiation Management, or SRM.
On 5 November 2020 the European Research Council (ERC) announced the groups of scientists, who are awarded a Synergy Grant in the 2020 call for proposals. MPI-M congratulates Prof Victor Brovkin, group leader in the department „The Land in the Earth System“ at the Max Planck Institute for Meteorology (MPI-M), to a grant for his proposal „Quantify disturbance impacts on feedbacks between Arctic permafrost and global climate – Q-ARCTIC”.
One of the hot topics in climate research is the evolution of the global mean temperature of the last several thousand years, the period from the so-called early and mid-Holocene, some 9000 to 8000 years ago, to the late Holocene, the time where we live in. Geological reconstructions of the global mean annual temperature evolution during this period yield conflicting and puzzling results.
In two recent studies, scientists of the Max Planck Institute for Meteorology (MPI-M) analyzed the feedback between CO2 and climate using Earth System models (ESM) in the Climate Modelling Intercomparison project, phase 6 (CMIP6). The authors Prof. Victor Brovkin, Dr. Tatiana Ilyina, Prof. Julia Pongratz, and Dr. Thomas Raddatz found that the positive feedback between land carbon and climate is much reduced in the new model version and that the natural carbon uptake after a complete stop of CO2…
Dr Tobias Becker, scientist in the department „The Atmosphere in the Earth System“ at the Max Planck Institute for Meteorology (MPI-M), won a prestigious Feodor Lynen Research Fellowship by the Alexander von Humboldt Foundation. From October 2020, he will conduct research for two years together with Dr Irina Sandu at the European Centre for Medium-Range Weather Forecasts (ECMWF). They will study the interaction of deep convection with its environment in global storm-resolving simulations.
The first movie shows the result of a simulation with the ocean model ICON-O at a global resolution of 5km, depicting a close-up of the circulation in the North-Atlantic. Shown are several flow quantities such as horizontal velocity, vorticity, the velocity gradient, and an eddy detection through the Q-criterion. The Q criterion is an important calculation used to identify vortices.
The video shows the visualisation of the “submesoscale telescope experiment” with the ICON ocean model ICON-O. The model was run on a grid with a focus in the North Atlantic. The grid resolution varies between 600m in the North Atlantic and 11km near Australia. This configuration allows us to resolve locally the important dynamical regime of submesoscale dynamics (atmospheric processes of spatial scales below 2 km) within a global set up.