ece2cmor3
Process EC-Earth output to publish for CMIP6
Process-based climate simulation: advances in high-resolution modelling and European climate risk...
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.
Delivering a pangenome approach that drastically improves the analytical power on plant data
Building a digital infrastructure to do climate attribution of extreme weather events
Using remote sensing to develop damage indicators across all Antarctic ice shelves
Visualizing storylines of climate impacts
For future exascale climate and weather predictions
SWITCH-ON
An innovative European regional ensemble climate prediction system
Updating our knowledge on abrupt climate change
Arctic impact on weather and climate
Handling data assimilation on a large scale
Showcasing an extreme high resolution climate simulation
Process EC-Earth output to publish for CMIP6
A European community Earth-System Model
ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.
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.