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Max Planck Society (MPG)

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  • Dr.Daniela Jacob: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
  • Dr.Sven Kotlarski: This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Max Planck Institute for Meteorology

The Max Planck Institute for Meteorology (MPI-M) was founded as an institute dedicated to fundamental climate research. The overall mission of MPI-M is to understand how chemical, physical, and biological processes, as well as human behaviour contribute to the dynamics of the Earth system, and specifically how they relate to global climate changes. The objectives of the institute are to undertake an analysis of the Earth’s composition and dynamics, focusing on the interactive biological, chemical and physical processes that define Earth System dynamics, and more specifically to develop and use the appropriate tools to investigate the complexity of the Earth system, explain its natural variability, assess how the system is affected by changes in land-use, industrial development, urbanization, and other human-induced perturbations. Among these tools are advanced numerical models that simulate the behavior of the atmosphere, the ocean, the cryosphere and the biosphere, and the interactions between these different components of the Earth’s system.

MPI-M develops state-of-the-art global climate models, including the different model components dealing with the atmosphere (ECHAM), ocean and sea ice (MPI-OM1), land surface, biosphere. These models account for biogeochemical proceses (MOZART, HAMOCC). Regional models (REMO) are used to provide high resolution climate predictions in geographically limited areas. Finally, MPI-M is managing an International Max Planck Research School (IMPRS) for Earth System Modelling, which hosts approximately 30 PhD students.

The main task of MPI-M in the framework of the proposed project is to carry out and to analyse regional climate model simulations in order to project future climatic changes in the Alpine area on a regional scale. For this purpose, the regional climate model REMO is applied using different horizontal resolutions. Further tasks are the assessment of the influence of future glacier mass changes on runoff conditions and the investigation of climate-vegetation feedback mechanisms.

MPI-M acts as the focal point of climate research in Germany since 25 years. It is contributing to integrated assessment studies and socio-economic/climate interactions. It has made major contributions to the analysis of a human influence on climate in detection and attribution studies. MPI-M is committed to develop a comprehensive Earth system model (ESM) in which the physical aspects of the climate system are coupled with biogeochemical cycles and make it available to the scientific community in Europe and elsewhere and to inform decision-makers and the public on questions related to Climate Change and Global Change. The regional climate model REMO has been widely used in national and international research projects and has been applied to various regions all over the world. With the development of a subgrid glacier parameterization for REMO (Kotlarski, 2007), the model is now specifically well suited to study the full hydrological cycle of the alpine region on long time scales.

Dr. Daniela Jacob was educated at the Technical University Darmstadt, Germany where she studied meteorology. She obtained her PhD degree at the University of Hamburg in 1991 and spent the year 1992 at NCAR, Boulder, Colorado, as a visiting scientist. Her main interests are in the applicability of different physical parameterizations for scale dependent mesoscale phenomena and the investigations of flow simulations on the scale of a few kilometers up to a few thousand kilometers. She is leading the regional climate modelling activities at MPI-M in Hamburg, Germany, which encompass model development, coupling of different modelling systems, validation and applications.

Dr. Sven Kotlarski Hydrologist, main research areas: climate-glacier interactions, coupling of climate models to hydrological models.