MiKlip II – A national research project on decadal climate prediction

In its first phase, MiKlip has made important research contributions and has developed an internationally competitive decadal climate prediction system. Building up on these results, the overarching goal for MiKlip II is to establish and improve the decadal climate prediction system that eventually can be transferred to the German meteorological service DWD for operational use. MiKlip II is funded by the German Ministry for Education and Research (BMBF) with about 13 Mio. € for three years of collaborative research and a fourth year focusing on the operational implementation of the prediction system. MiKlip II involves 16 national partners from universities, research institutions and federal agencies.  

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A global daily precipitation dataset has recently been published by the MiKlip-DAPAGLOCO project

27.03.2017 - 13:49

Three different spatially resolved versions are available for a record length of 21 years (1988-2008). It combines rain gauge measurements over land with...

Bias and Drift of the MiKlip System validated by European Radiosonde Data

27.03.2017 - 12:11

In a recent paper, M. Pattantyús-Ábrahám and colleagues from the MiKlip project investigated the performance of the MiKlip decadal prediction system for the...

2nd DWD Newsletter on Decadal Climate Prediction

08.02.2017 - 14:19

The second DWD newsletter on Decadal Climate Prediction has now been published by the project SUPPORT.

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Improved Seasonal Prediction of European Summer Temperatures With New Five‐Layer Soil‐Hydrology Scheme

2018 - Geophysical Research Letters, 45, 346–353

Bunzel, F. | Müller, W. A., Dobrynin, M., Fröhlich, K., Hagemann, S., Pohlmann, H., Tobias Stacke, Baehr, J.

Time dependency of the prediction skill for the North Atlantic subpolar gyre in initialized decadal hindcasts

2018 - Climate Dynamics 51(5-6), 1947–1970

Brune, S. | Düsterhus, A., Pohlmann, H., Müller, W. A., Baehr, J.

The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design

2018 - Geosci. Model Dev., 11, 2581-2608

Claudia Timmreck | Graham W. Mann, Valentina Aquila, Rene Hommel, Lindsay A. Lee, Anja Schmidt, Christoph Brühl, Simon Carn, Mian Chin, Sandip S. Dhomse, Thomas Diehl, Jason M. English, Michael J. Mills, Ryan Neely, Jianxiong Sheng, Matthew Toohey, and Debra Weisenstein

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