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EUCLIPSE First Period Report

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Figure 5. Schematic of the physical mechanism explaining the positive low-cloud feedback of<br />

the IPSL-CM5A-LR ESM in climate change. The key role of changes in the vertical deficit of the<br />

atmospheric moist static energy (shown on the right of the figure) in the energy budget of the<br />

planetary boundary layer and the low-level cloudiness is highlighted. After Brient and Bony<br />

(2011).<br />

WP2 Conclusions, link to other WPs, and future plans :<br />

As illustrated by this short report, WP2 activities are well on track. <strong>EUCLIPSE</strong><br />

participants have started to work on the different tasks of WP2, and progress is<br />

expected on a number of issues:<br />

- the evaluation of cloud processes in <strong>EUCLIPSE</strong> models<br />

- the understanding of the influence of cloud processes on the tropical atmospheric<br />

circulation and natural variability, and in European heat waves.<br />

- the physical understanding of low-cloud feedbacks in <strong>EUCLIPSE</strong> models<br />

- the development of new and original approaches to interpret inter-model differences<br />

in cloud feedbacks and precipitation responses in climate change (these approaches<br />

are currently being applied to CMIP5 models)<br />

Most of the work done in WP2 is based on coordinated numerical experiments and<br />

output diagnostics prepared in WP1 (global simulations from ESMs, OAGCM,<br />

atmospheric and aqua-planet models; COSP outputs; high-frequency model outputs<br />

over an ensemble of selected sites) and in WP3 (CGILS uni-column simulations, which<br />

turn out to be very helpful to understand 3D cloud feedbacks). Thanks to the analysis<br />

work carried out so far in WP2, several physical mechanisms have been identified as<br />

playing a key role in the control of low-cloud feedbacks. In WP3 it will be possible to<br />

assess these processes, and in WP4 it will be possible to design specific numerical<br />

experiments to assess the actual role of these processes in cloud feedbacks<br />

20

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