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High definition clouds and precipitation for advancing climate prediction

Already working in its second phase (April 17 – March 19), the HD(CP)² project addresses cloud and precipitation (CP) processes which constitute one of the largest uncertainties in current weather and climate prediction models. This CP roadblock is addressed by a number of scientific questions that all deal with very different aspects of cloud formation, evolution and precipitation. The project utilizes the ICON-LEM (ICOsahedral Non-hydrostatic Large Eddy Model) that provides an previously unknown horizontal resolution of 156m to actually resolve CP processes. High-resolution hindcast simulations are performed over very diverse regions, such as Germany and the Tropical Atlantic.

The first funding period of HD(CP)² focused on the optimization of the ICON model for the large-eddy simulations and on the improvement of ground, in situ and satellite based observations of cloud and precipitation events. A project-own observation campaign was run and its data is freely available to the scientific community.


Max Planck Institute for Meteorology

Forschungszentrum Jülich GmbH
The contact person is Catrin Meyer,

and 18 further institutions.

The project is funded in part by the Bundesministerium fuer Bildung und Forschung (BMBF) under contract 01LK1209B.
The grant period is April 2016 until December 2019.

More detailed information about the project is available at the project's homepage.