397.

EUREC4A—an international field study to test hypothesized cloud controlling factors influencing weather and climate

 
From 20 January through 20 February 2020, the EUREC4A (Elucidating the role of clouds-circulation coupling in climate) field study will investigate trade wind clouds in the Tropical Atlantic. EUREC4A is a French-German initiated field study led by Prof Bjorn Stevens, Director at the Max Planck Institute for Meteorology (MPI-M) and head of the department “The Atmosphere in the Earth System”, and Dr Sandrine Bony, Director of Research at the Laboratoire de Météorologie Dynamique, Paris, France.…  
398.

Using sea-level rise to define climate targets

 
Photo: Half of mankind is living next to the coast. Sea level rise can become a risk. One major consequence of global warming is the rising sea level. A study conducted at Universität Hamburg’s Cluster of Excellence for climate research CLICCS by Dr Chao Li, scientist at the Max Planck Institute for Meteorology (MPI-M) and his colleagues now shows:  
399.

Risky Cooling | Dr Ulrike Niemeier

 
Volcanoes are sources of ideas. When they erupt, they emit large amounts of sulfur dioxide, cooling the climate.  
400.

POST FROM: Barbados, Caribbean | Theresa Lang

 
Theresa Lang from the Max Planck Institute for Meteorology spent around two weeks on the Caribbean island of Barbados for the cloud research project EUREC4A.  
401.

The Max Planck Institute for Meteorology Grand Ensemble – an instrument for studying the internal variability of the climate system

 
During the last 150 years, the increasing atmospheric concentration of anthropogenic greenhouse gases has been the main driver of climate change. Superimposed on the man-made global warming trend, however, natural variability modulates the climate record on time scales from years to several decades. Natural climate variability encompasses internal variability — spontaneously generated by processes and feedbacks within the climate system and externally forced variability — caused, for example,…  
402.

A CERN for Climate Change

 
In a Perspective article appearing in this week's Proceedings of the (USA) National Academy of Science (PNAS), Prof Tim Palmer (University of Oxford, UK), and Prof Bjorn Stevens (Max Planck Society, Germany), critically reflect on the present state of Earth system modelling.  
403.

The importance of global high-resolution climate and weather simulations – ESiWACE

 
Both scientists from climate and weather science and experts in the field of high performance computing (HPC) are featured in the film.  
404.

New study determines Earth's climate sensitivity from recent global warming

 
In a recent study, Diego Jiménez-de-la-Cuesta Otero from the Max Planck Institute for Meteorology and Thorsten Mauritsen from the Stockholm University were able to further constrain Earth's sensitivity to carbon dioxide. They combined observations of global warming since the 1970s with results from global climate models. The results of the study can eventually lead to better projections of future warming.  
405.

New study: DYAMOND - Next Generation Climate Models

 
Graphic Prof Bjorn Stevens, director at the Max Planck Institute for Meteorology (MPI-M) and head of the department “The Atmosphere in the Earth System“, Prof Masaki Satoh at the University of Tokyo, and their co-authors describe in a new study the project DYAMOND, a model intercomparison of next generation climate models - Global Storm Resolving Models.  
406.

New study shows highly different responses of surface vs air temperature following deforestation

 
In a new study published recently in Earth System Dynamics and highlighted in Nature Climate Change, scientists in the department “The Land in the Earth System” at the Max Planck Institute for Meteorology (MPI-M) – Dr Johannes Winckler, Dr Christian Reick, Marvin Heidkamp, Dr Andreas Chlond, Dr Thomas Raddatz and Prof Julia Pongratz – together with colleagues from other institutes investigate how deforestation affects temperature and how surface and air temperature respond differently to…  
407.

Understanding cloud organization from satellite images

 
In order to better understand cloud structures more than 60 scientists from the Max Planck Institute for Meteorology (MPI-M) and the Laboratoire Météorologie Dynamique (LMD), France, classified ten thousand satellite images into four types of organization. They now challenge interested people in a competition to join and build a machine learning algorithm that automates the detection of cloud patterns.  
408.

HALO as a cloud observatory: the NARVAL expeditions

 
[Translate to English:] Aircrafts have long been used to sample clouds, now the German research aircraft HALO (High-Altitude LOng-Range) has been configured as a mobile cloud observatory.  
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