Max-Planck-Institute for Meteorology: Search

349.

More accurate quantification of model-to-model agreement

In a new study scientists Dr Nicola Maher and Prof Jochem Marotzke from the Max Planck Institute for Meteorology (MPI-M) in collaboration with Prof Scott Power from Monash University (Melbourne) have more accurately quantified model-to-model agreement in strongly forced long-term projections of temperature, precipitation, and their temporal variability.

350.

Predicting the global carbon cycle to support decision-making related to carbon management

Still picture of a visualization showing the evolution of atmospheric CO2 concentration in a MPI-ESM simulation

In a recent study Dr. Tatiana Ilyina, Dr. Hongmei Li, Aaron Spring and Dr. Wolfgang Müller, scientists at the Max Planck Institute for Meteorology, and a team of international colleagues used a set of prediction systems based on Earth-system models to establish predictive skills of the ocean and land carbon sinks and to infer predictability of the atmospheric CO2 growth rate. They found an emerging capacity of the initialized Earth-system model simulations for predicting the global carbon cycle.

351.

Meteorological Society of Japan Publication Award for HD(CP)2 Added Value Paper

A group of scientists at the Max Planck Institute for Meteorology (MPI-M) were recognized for their co-authorship of the paper "The added value of large-eddy and storm-resolving models for simulating clouds and precipitation”, which was awarded the 2020 Meteorological Society of Japan Publication Award. The paper demonstrates the ability of models run at hecto- and kilo-meter scales, to surmount long standing obstacles hindering more accurate climate predictions. Models run at kilometer scales…

352.

Variability of the Earth system over the last 8000 years

After the peak of the last ice age about 21,000 years ago, the great ice masses that had covered large parts of North America and northern Europe began to retreat, reaching their present extent about 8,000 to 6,000 years ago. The beginning of the Holocene, the geologic period in which we now live, is dated to about 11,000 years before present, after the last major climate oscillation in the transition from the Ice Age to the present warm phase. The climate and climate changes of the Holocene…

353.

New insight into the seasonal carbon dynamics of the global ocean

Researchers at the Max Planck Institute for Meteorology (MPI-M) and colleagues used a machine learning approach to reconstruct a monthly climatology of Mapped Observation-Based Oceanic Dissolved Inorganic Carbon (MOBO-DIC) in the upper ocean. The study, which has just been published in Global Biogeochemical Cycles, was led by Dr Lydia Keppler, from Dr Peter Landschützer’s group “Observations, Analysis and Synthesis” and involved collaborations with the former MPI-M member Dr Irene Stemmler and…

354.

New working group on modelling human-environmental interactions in the Anthropocene (HERMITIAN)

At the end of October 2020, the German Committee Future Earth (DKN) approved Prof. Julia Pongratz and Prof. Victor Brovkin to establish a working group for modeling human-environmental interactions in the Anthropocene (HERMITIAN).

355.

CO2 emission reductions only distinctly attributable in the atmosphere after a decade

Figure 1: Frequency of the trend change in atmospheric CO2.

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.

356.

Supercomputing 2020 keynote talk: "Climate Science in the Age of Exascale" by Bjorn Stevens

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.

357.

Robust detection of deforestation effects on climate takes decades

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.

358.

Towards small scale processes in large scale climate models — 3D visualisation of clouds

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).

359.

Clouds and Climate — Climate Science’s Greatest Challenge

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”.

360.

Geoengineering and climate engineering — master plan against climate change?

“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.