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.  

MiKlip Compact:

A comprehensive summary of decadal prediction in general, MiKlip and its subprojects in specific, and on a how decadal prediction system like MiKlip can be used as a tool to support the United Nations Sustainable Development Goals was presented as interactive content (PICO) at the European Geosciences Union General Assembly in April 2019.

A copy of this PICO is available for download here:

MiKlip - how a decadal climate forecasting system can contribute to the UN sustainable development goals

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New publications on decadal variability from the ATMOS/MODINI project

08.05.2017 - 14:57

Five new publications on decadal variability from the ATMOS/MODINI project are here briefly summarised.

EGU General Assembly

21.04.2017 - 08:15

On Sunday the EGU general assembly begins in Vienna, Austria and as always a lot of MiKlipers will attend and present their results.

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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...

PublicationsPublications-Icon

Tropical precipitation influencing boreal winter midlatitude blocking

2019 - Atmospheric Science Letters, Vol. 20, no. 5

Gollan, G. | Bastin, S., Greatbatch, R.J.

Predicting the variable ocean carbon sink

2019 - Science Advances 17 Apr 2019: Vol. 5, no. 4

Li, H. | Ilyina, T., Müller, W.A., Landschützer, P.

Bias adjustment for decadal predictions of precipitation in Europe from CCLM

2019 - Climate Dynamics

Li, J. | Pollinger, F., Panitz, HJ., Feldmann, H., Paeth, H.

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