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Dear colleagues,</div>
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Here I am happy to announce the kick-off of this academic year's EOAS colloquium. This week, we will have Dr. Ming Cai of FSU/EOAS as the speaker. The following is the information about his talk.</div>
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<div style="font-size:12pt;margin:0px"><span style="margin:0px"><span style="margin:0px" class="ContentPasted0"><b class="ContentPasted0">Time</b>: Friday, Sep 8 @ 3:00 PM</span></span>
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<div style="margin:0px"><span style="margin:0px" class="ContentPasted0"><b class="ContentPasted0">Location</b>: EOAS 1050 (regular EOAS colloquium room)</span></div>
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<b>Title</b>: Difference between 1=1 and 3=3: Energy Gain Kernel for Climate Feedbacks
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<div><b>Abstract: </b><span style="">This study introduces a climate feedback kernel, referred to as the “energy gain kernel” (EGK). The EGK allows for separating the net radiative energy perturbations given by a Planck feedback matrix explicitly into thermal
energy emission perturbations of an individual layer, and thermal energy perturbations absorbed by all layers in response to forcing in that layer. The formal is represented by the diagonal matrix of a Planck feedback matrix and the latter by EGK. Elements
of EGK are all positive, representing amplified energy perturbations at a layer where forcing is imposed and energy gained at other layers, both of which are achieved through radiative thermal coupling within an atmosphere-surface column. </span><span style="">Applying
EGK to input energy perturbations—whether external or internal due to responses of non-temperature feedback processes to external energy perturbations, such as water vapor and albedo feedbacks—yields their total energy perturbations amplified through radiative
thermal coupling within an atmosphere-surface column. </span><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">As the strength of EGK depends exclusively on climate
mean state information, it offers a solution for effectively and objectively separating control climate state information from climate perturbations for climate feedback studies. Given that an EGK comprises critical climate mean state information on mean temperature,
water vapor, clouds, and surface pressure, we envision that the diversity of EGK across different climate models could provide insight into the inquiry of why, under the same anthropogenic greenhouse gas increase scenario, different models yield varying degrees
of global mean surface warming.</span></div>
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<div><b>A Note</b>: Colleagues are encouraged to attend the colloquium in person. However, attending online will be feasible. Please request the colloquium Zoom link from Zhaohua Wu (zwu@fsu.edu) if you plan to attend online.</div>
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<div>Cheers,</div>
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<div>Zhaohua </div>
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