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<div class="" style="word-wrap:break-word; line-break:after-white-space">Dear all,
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<div class="">The Meteorology seminar given by Dr. Tobias Becker (Max Planck Institute for Meteorology) originally scheduled for Tuesday January 28 has been changed to
<b class="">Monday January 27 at 3:45 PM in 1044 EOA. </b>Despite this last minute change and the odd day and time, we hope that you can still all attend to hear Dr. Becker present some exciting new results about the processes that control climate sensitivity,
including the role of organization of convection. </div>
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<div class="">There are a couple of spots remaining to meet with Dr. Becker; contact Allison Wing (<a href="mailto:awing@fsu.edu" class="">awing@fsu.edu</a>) if you would like to schedule a meeting.</div>
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<div class="">Cheers, </div>
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<div class="">Allison</div>
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<div class=""><u class="">Meteorology Seminar by Dr. Tobias Becker (<b class="">Monday January 27, 3:45 PM in 1044 EOA</b>)</u></div>
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<div class=""><span class=""><b class="">Title: </b>Climate sensitivity across the RCEMIP simulations</span></div>
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<div class=""><b class="">Abstract:</b> Simulations of radiative-convective equilibrium (RCE) have greatly influenced the understanding of climate, and climate change. Early simulations were performed with very simple one-dimensional models of the atmosphere,
followed by cloud-resolving simulations. In the last five years it has also become common practice to simulate RCE with comprehensive general circulation models. These recent studies have revealed that different RCE states can be found, depending on how convection
aggregates, even in the absence of external asymmetries in the forcing, and have motivated the RCEMIP project, which defines a standardized experimental protocol, to study RCE across a range of models. For each RCEMIP model, simulations at fixed sea-surface
temperatures of 295 K, 300 K and 305 K have been performed, both on a small and on a large domain.</div>
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<div class="">Here our focus is on investigating how climate sensitivity differs across those simulations, with the aim to understand what processes control climate sensitivity. The results show that as long as simulations are run on a small domain, differences
in climate sensitivity among the different models are still relatively small, while climate sensitivities vary tremendously for the large domain simulations. The climate sensitivity parameter ranges from very low to high or even negative values, the latter
indicating an unstable climate state. The variability of climate sensitivity is larger on the large domain than on the small domain because convective self-aggregation is suppressed on the small domain, while self-aggregation is free to change with temperature
on the large domain, thereby affecting climate sensitivity: if self-aggregation increases with temperature, then climate sensitivity is small, and if self-aggregation decreases with temperature, then climate sensitivity is high or even negative. We can attribute
this effect to a drying and expansion of the subsiding regions in response to convective self-aggregation, causing an increase in outgoing longwave radiation. In addition, changes in low clouds play a critical role.</div>
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