Central IT Services
IT services are provided at MPI-M by the Central IT Services (CIS) group.
The most important services of the Central IT Services are:
- Procurement, setup and management of IT hardware and software for both users (laptops, PCs) and infrastructure (servers, networks, etc.)
- Central user administration
- Provision of an efficient network (LAN, WLAN)
- Central IT help desk as a contact point for all IT-related issues
- Provision of services to support daily work (e.g. version management, project management, websites, etc.)
- Ensuring secure IT operations (failover, backup, IT security)
Detailed documentation on the IT Group’s offerings can be found in the Wiki of the institute.
An account (username and password) is required to use most IT services. Usually, an account will be created for you as soon as you have a contract with MPI-M. If you are a guest at MPI-M and need an account, your group leader at MPI can request an account for you. Further details are described in the institutes Wiki.
If you have any questions or problems using the IT systems at MPI-M, please contact the IT help desk.
Please note that questions regarding the DKRZ systems (e.g. Levante or data archive) will be answered by the DKRZ user support.
Contact
Rainer Weigle
Group leader
Tel.: +49 (0)40 41173-373
rainer.weigle@mpimet.mpg.de
Helpdesk
Tel.: +49 (0)40 41173-361
help-it@mpimet.mpg.de
More Content
Rain rather likes dry soils in a next-generation global climate model
Water stored in the soil provides one source of moisture to form clouds and ultimately precipitation. But the importance of this connection between water stored in the soil and precipitation has long been debated. In this study, the authors reassess this connection, for the first time using a climate model with a grid spacing allowing convective storms to be explicitly represented and by simulating the climate over the full globe. Past studies had either to use a limited integration domain, what prevents convective storms to interact with the large-scale circulation, or a statistical representation of convection due to their coarse grid spacing.
Conventional climate models show a strong positive correlation between daily soil moisture and daily precipitation. In contrast, the authors find only a weak correlation in their global storm-resolving simulation. Moreover, the correlation between daily soil moisture and next-day precipitation even becomes negative: drier soils are favorable for precipitation. Strikingly, whereas precipitation robustly increases with evaporation in conventional climate models, it exhibits a much more complex relationship in the global storm-resolving simulation. This suggests that the amount of water that can be evaporated from the soil is not the main mechanism that controls the precipitation amounts. The weaker correlation between soil moisture and precipitation is also in better agreement with observations.
The findings suggest that precipitation may be too sensitive to the state of the underlying land surface in conventional climate models. As a consequence, such models may overestimate the expected increase in the frequency and intensity of droughts and heatwaves under climate change. They may also be too sensitive to land surface changes, such as deforestation. The findings strongly speak for the use of global storm-resolving climate models to investigate the changing climate over land.
Original publication
Lee, J. and Hohenegger, C., 2024. Weaker land–atmosphere coupling in global storm-resolving simulation. Proceedings of the National Academy of Sciences, 121(12), p.e2314265121, https://doi.org/10.1073/pnas.2314265121
Contact
Dr. Junhong Lee
Max Planck Institute for Meteorology
junhong.lee@mpimet.mpg.de
Rain rather likes dry soils in a next-generation global climate model
Water stored in the soil provides one source of moisture to form clouds and ultimately precipitation. But the importance of this connection between water stored in the soil and precipitation has long been debated. In this study, the authors reassess this connection, for the first time using a climate model with a grid spacing allowing convective storms to be explicitly represented and by simulating the climate over the full globe. Past studies had either to use a limited integration domain, what prevents convective storms to interact with the large-scale circulation, or a statistical representation of convection due to their coarse grid spacing.
Conventional climate models show a strong positive correlation between daily soil moisture and daily precipitation. In contrast, the authors find only a weak correlation in their global storm-resolving simulation. Moreover, the correlation between daily soil moisture and next-day precipitation even becomes negative: drier soils are favorable for precipitation. Strikingly, whereas precipitation robustly increases with evaporation in conventional climate models, it exhibits a much more complex relationship in the global storm-resolving simulation. This suggests that the amount of water that can be evaporated from the soil is not the main mechanism that controls the precipitation amounts. The weaker correlation between soil moisture and precipitation is also in better agreement with observations.
The findings suggest that precipitation may be too sensitive to the state of the underlying land surface in conventional climate models. As a consequence, such models may overestimate the expected increase in the frequency and intensity of droughts and heatwaves under climate change. They may also be too sensitive to land surface changes, such as deforestation. The findings strongly speak for the use of global storm-resolving climate models to investigate the changing climate over land.
Original publication
Lee, J. and Hohenegger, C., 2024. Weaker land–atmosphere coupling in global storm-resolving simulation. Proceedings of the National Academy of Sciences, 121(12), p.e2314265121, https://doi.org/10.1073/pnas.2314265121
Contact
Dr. Junhong Lee
Max Planck Institute for Meteorology
junhong.lee@mpimet.mpg.de
Rain rather likes dry soils in a next-generation global climate model
Water stored in the soil provides one source of moisture to form clouds and ultimately precipitation. But the importance of this connection between water stored in the soil and precipitation has long been debated. In this study, the authors reassess this connection, for the first time using a climate model with a grid spacing allowing convective storms to be explicitly represented and by simulating the climate over the full globe. Past studies had either to use a limited integration domain, what prevents convective storms to interact with the large-scale circulation, or a statistical representation of convection due to their coarse grid spacing.
Conventional climate models show a strong positive correlation between daily soil moisture and daily precipitation. In contrast, the authors find only a weak correlation in their global storm-resolving simulation. Moreover, the correlation between daily soil moisture and next-day precipitation even becomes negative: drier soils are favorable for precipitation. Strikingly, whereas precipitation robustly increases with evaporation in conventional climate models, it exhibits a much more complex relationship in the global storm-resolving simulation. This suggests that the amount of water that can be evaporated from the soil is not the main mechanism that controls the precipitation amounts. The weaker correlation between soil moisture and precipitation is also in better agreement with observations.
The findings suggest that precipitation may be too sensitive to the state of the underlying land surface in conventional climate models. As a consequence, such models may overestimate the expected increase in the frequency and intensity of droughts and heatwaves under climate change. They may also be too sensitive to land surface changes, such as deforestation. The findings strongly speak for the use of global storm-resolving climate models to investigate the changing climate over land.
Original publication
Lee, J. and Hohenegger, C., 2024. Weaker land–atmosphere coupling in global storm-resolving simulation. Proceedings of the National Academy of Sciences, 121(12), p.e2314265121, https://doi.org/10.1073/pnas.2314265121
Contact
Dr. Junhong Lee
Max Planck Institute for Meteorology
junhong.lee@mpimet.mpg.de