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Dear all,
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<div class="">This is a reminder of today’s MET seminar, given by Dr. Zachary Labe (NOAA GFDL/Princeton University) about “<i class="">Exploring explainable machine learning for detecting changes in climate”. </i></div>
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<div class="">Refreshments at 3, talk at 3:15. See you in 1044!</div>
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<div class="">Cheers, </div>
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<div class="">Allison</div>
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Allison Wing, Ph.D.</div>
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Associate Professor</div>
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Earth, Ocean and Atmospheric Science</div>
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Florida State University</div>
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<a href="mailto:awing@fsu.edu" class="">awing@fsu.edu</a></div>
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<div class="">On Feb 6, 2023, at 8:35 AM, eoas-seminar--- via Eoas-seminar <<a href="mailto:eoas-seminar@lists.fsu.edu" class="">eoas-seminar@lists.fsu.edu</a>> wrote:</div>
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<div class="">Dear all, </div>
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<div style="" class="">Please join us this <b class="">Thursday February 9</b> for a Meteorology seminar, given by <a href="https://zacklabe.com/" style="" class="">Dr. Zachary Labe</a> of NOAA GFDL/Princeton University. Dr. Labe will speak about "<i class="">Exploring
explainable machine learning for detecting changes in climate</i>” (abstract below).</div>
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<div style="" class="">Dr. Labe will be joining us virtually but we will gather in EOA 1044 to participate in the seminar. If you cannot attend in person due to a medical reason or approved work out of town, please contact Allison Wing (<a href="mailto:awing@fsu.edu" style="" class="">awing@fsu.edu</a>)
for remote access. Otherwise, we look forward to seeing everyone in 1044! Please join us for refreshments prior to the beginning of the talk at 3:15 PM. </div>
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<div class=""><b class="" style="font-family: Helvetica, Arial; font-size: inherit;">If you are interested in meeting with the speaker, please contact Allison Wing. </b><br class="">
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<div class="" style="font-weight:normal; font-family:Helvetica"><b class="">DATE:</b> <b class="">Thursday February 9</b></div>
<div class="" style="font-weight:normal; font-family:Helvetica"><b class="">SEMINAR TIME:</b> Refreshments at 3 PM, Talk 3:15 PM - 4:15 PM. <br class="">
<b class="">SEMINAR LOCATION:</b> EOA 1044 (speaker remote)<br class="">
<b class="">SPEAKER:</b> <a href="https://zacklabe.com/" style="font-family: Helvetica, Arial;" class="">Dr. Zachary Labe</a></div>
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<div class="" style="font-weight:bold; font-family:Helvetica">TITLE: <b class="" style="font-family:Helvetica,Arial"><i style="font-family:Helvetica; font-weight:normal" class="">Exploring explainable machine learning for detecting changes in climate</i></b></div>
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<div class="" style="font-family:Helvetica"><b class="">ABSTRACT: </b><span style="font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 13px; white-space: pre-wrap; background-color: rgb(255, 255, 255);" class="">The popularity of deep
learning methods, such as neural networks, continues to rapidly grow. The interest in these tools also coincides with a growing influx of big data, high performance computing capabilities, and the need for greater efficiency in solving a range of tasks. Specifically,
in climate science, we often consider detection and attribution problems to help disentangle external climate forcing from internal variability. In this seminar, I will show examples of how relatively simple classification problems can be combined with explainable
artificial intelligence methods to improve our understanding of historical and future climate projections. To make their predictions, we find that the neural networks are often leveraging regional patterns of forced signals within climate model large ensembles
and observations. These same explainability frameworks can be easily adapted for a wide variety of applications in the Earth sciences. However, there is also some hesitancy for considering the use of neural networks due to concerns about their reliability,
reproducibility, and interpretability.</span></div>
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<div class="" style="font-family:Helvetica"><span style="font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 13px; white-space: pre-wrap; background-color: rgb(255, 255, 255);" class="">We look forward to seeing you there!</span></div>
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<div class="" style="font-family:Helvetica"><span style="font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 13px; white-space: pre-wrap; background-color: rgb(255, 255, 255);" class="">Cheers,
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</span></div>
<div class="" style="font-family:Helvetica"><span style="font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 13px; white-space: pre-wrap; background-color: rgb(255, 255, 255);" class="">Allison</span></div>
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Allison Wing, Ph.D.</div>
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Associate Professor</div>
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Earth, Ocean and Atmospheric Science</div>
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Florida State University</div>
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<a href="mailto:awing@fsu.edu" class="">awing@fsu.edu</a></div>
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