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

Impact

Output

  • 1.
    Published in 2017
  • 2.
    Author(s): Xavier Yepes, Gijs van den Oord, Mario Acosta
    Published in 2017
  • 3.
    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

Related projects

Scaling up pangenomics for plant breeding

Delivering a pangenome approach that drastically improves the analytical power on plant data

Updated 4 months ago
Finished

Copernicus Attribution

Building a digital infrastructure to do climate attribution of extreme weather events

Updated 22 months ago
Finished

Remote sensing of damage feedbacks and ice shelf instability in Antarctica

Using remote sensing to develop damage indicators across all Antarctic ice shelves

Updated 19 months ago
Finished

RECEIPT

Visualizing storylines of climate impacts

Updated 17 months ago
Finished

ESiWACE2

For future exascale climate and weather predictions

Updated 22 months ago
Finished

FAIRifying eWaterCycle (EOSCpilot)

SWITCH-ON

Updated 18 months ago
Finished

EUropean Climate Prediction system (EUCP)

An innovative European regional ensemble climate prediction system

Updated 19 months ago
Finished

Data mining tools for abrupt climate change

Updating our knowledge on abrupt climate change

Updated 18 months ago
Finished

Blue-Action

Arctic impact on weather and climate

Updated 19 months ago
Finished

Large Scale Data Assimilation in the eWatercycle global hydrological model

Handling data assimilation on a large scale

Updated 18 months ago
Finished

Extreme climate changes due to Collapse of the Warm Gulf Stream

Showcasing an extreme high resolution climate simulation

Updated 18 months ago
Finished

Related software

ece2cmor3

EC

Process EC-Earth output to publish for CMIP6

Updated 27 months ago
7 2

EC-Earth

EC

A European community Earth-System Model

Updated 8 months ago
839 2

ESMValCore

ES

ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.

Updated 12 months ago
104 48

ESMValTool

ES

The Earth System Model eValuation Tool is a community diagnostics and performance metrics tool for the evaluation of Earth System Models that allows for routine comparison of models and observations.

Updated 12 months ago
334 95