PRIMAVERA

Process-based climate simulation: advances in high-resolution modelling and European climate risk...

Image: EC-Earth Global Climate Model http://ecearth.knmi.nl/Visualization/Hurricane_win…

Many of the most pressing questions about regional climate change urgently require advances in process simulation. For example, to what extent are recent heat waves, floods and droughts in Europe attributable to natural variability or human influences on the global climate system? How will the risk of such high impact events change over the next few decades and beyond?

The extent to which it is possible to provide robust answers to these questions relies fundamentally on the fidelity of the climate models that are used to address them. However, fidelity is insufficient in itself: we must be able to justify why a particular model produces a particular prediction at the process level.

Many years of experience, first in numerical weather prediction and, equally albeit only recently, in climate simulation, have demonstrated that advances in the explicit simulation of key processes are essential to achieving sustained progress and to provide robust answers. High-resolution has been identified as one essential element of the development of GCMs to reproduce key climate processes with higher fidelity than conventional GCMs, thus enabling detailed process understanding.

PRIMAVERA is a European Union Horizon2020 project that aims to develop a new generation of advanced and well-evaluated high-resolution global climate models, capable of simulating and predicting regional climate with unprecedented fidelity, for the benefit of governments, business and society in general.

Project website: https://www.primavera-h2020.eu/

This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement no. 641727.

The continuation project titled "Primavera 2020" (project number 33020001) is funded by KNMI.

Participating organisations

Environment & Sustainability
Environment & Sustainability
Koninklijk Nederlands Meteorologisch Instituut
Swedish Meteorological and Hydrological Institute
Met Office
Netherlands eScience Center

Output

  • 1.
    Coupling XIOS to the IFS
    Author(s): Xavier Yepes, Gijs van den Oord, Mario Acosta
    Published in 2017
  • 2.
    Post-processing EC-Earth output with ece2cmor3
    Author(s): Gijs Van Den Oord
    Published in 2017

Team

Gijs van den Oord
Gijs van den Oord
eScience Research Engineer
Netherlands eScience Center
MR
Malcolm Roberts
PLS
Philippe Le Sager
RH
Rein Haarsma
Co-Applicant
Koninklijk Nederlands Meteorologisch Instituut
Rena Bakhshi
Rena Bakhshi
eScience Coordinator
Netherlands eScience Center

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