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Dear All,</div>
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Good morning!</div>
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<img alt=":mega:" data-stringify-emoji=":mega:" data-stringify-type="emoji" width="22" height="22" style="width: 22px; height: 22px; max-width: 954px; margin-top: -11px;" src="https://a.slack-edge.com/production-standard-emoji-assets/14.0/apple-medium/1f4e3@2x.png"> This
is a reminder that our ESIP Machine Learning Cluster Monthly Meeting will be held on today September 20th, 2024, Friday from 12:00 PM to 1:00 PM EST.</div>
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Please find the meeting link in the ESIP calendar under the name “Machine Learning.”</div>
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<u><a href="https://www.esipfed.org/community-calendar/" target="_blank" id="OWA5ef3ce58-ca5d-9954-0455-ac4fbe37dac4" class="c-link OWAAutoLink" rel="noopener noreferrer" data-sk="tooltip_parent" data-stringify-link="https://www.esipfed.org/community-calendar/" style="color: rgba(var(--sk_highlight_hover,11,76,140),1);">https://www.esipfed.org/community-calendar/</a></u></div>
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Are you interested in using machine learning on time series data? Please join in us 🙂 </div>
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We are excited to announce that our next meeting will feature an esteemed guest speaker,
<b>Benedikt Barthel, from the Massachusetts Institute of Technology (MIT)</b>. Barthel is known for his research in climate science, with a strong focus on improving the accuracy and efficiency of climate simulations. His work aims to address key challenges
in modeling, particularly in the context of long-term climate predictions and rare event statistics, which are crucial for understanding the future impacts of climate change.</div>
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Barthel’s research includes the development of a non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare event statistics. This innovative framework enhances our ability to simulate climate
systems more accurately, helping us better understand extreme weather patterns and their potential effects on the environment.</div>
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In this session, Barthel will be presenting on his latest work, titled “<b>A Non-Intrusive Machine Learning Framework for Debiasing Long-Time Coarse Resolution Climate Simulations and Quantifying Rare Events Statistics</b>”. We encourage you to explore this
publication, which can be found here: (<span style="color: rgba(var(--sk_highlight,18,100,163),1);"><a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023MS004122" target="_blank" id="OWAe7340637-a067-3fd9-b881-eba87512bed0" class="c-link OWAAutoLink" rel="noopener noreferrer" data-sk="tooltip_parent" data-stringify-link="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023MS004122" style="color: rgba(var(--sk_highlight,18,100,163),1);">https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023MS004122</a></span>).</div>
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Our agenda for the ESIP Machine Learning Cluster Meeting is:</div>
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Guest speaker</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-bottom: 0px; margin-left: 28px; list-style-type: none;">
Q&A</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); margin-bottom: 0px; margin-left: 28px; list-style-type: none;">
Anything else?</li></ul>
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If you have more things to discuss, please feel free to raise them.</div>
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Best, </div>
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<p><span style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">--<br>
</span></p>
<p><span style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Ziheng Sun, Ph.D.</span></p>
<p><span style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Department of Geography and Geoinformation Science</span></p>
<p><span style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Center for Spatial Information Science and Systems</span></p>
<p><span style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">College of Science, George Mason University</span></p>
<p><span style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">E-mail:
<a href="mailto:zsun@gmu.edu" id="OWAc8ee3c16-7ca2-d41f-a5bc-f486ce85e6df" class="OWAAutoLink" style="margin-top: 0px; margin-bottom: 0px;">
zsun@gmu.edu</a></span></p>
<p><span style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Tel: 1-703-993-6124</span></p>
<p><span style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Website:
<a href="https://zihengsun.github.io/" id="OWA037a3dae-5780-fff1-cb49-1dab4688a819" class="OWAAutoLink" title="https://zihengsun.github.io" style="margin-top: 0px; margin-bottom: 0px;">
https://zihengsun.github.io</a></span></p>
<p><span style="letter-spacing: 0.1pt; font-family: Arial, sans-serif, serif, EmojiFont; font-size: 12pt; color: rgb(0, 0, 0);">Github:
<a href="https://secure-web.cisco.com/16BwzADfo_HrQYvcRwymRLXYfi0PCo93zpe26c8xDhIcKo2ITSDkWnRSerDt5ltTD5vxYxCxBd4bjA9G_nBAHsPRMtZM9ZJVafS5DcoOsWqCM6nGiygPIFGYj_oHEDNFSseUREzvwm0FO94aa_0LwSHJ3U0laF0xeIwWtpZnzbOylkcqRNPhWnsEChWssXcGq_HWzeSfhWgl22qKtTAIiTJQP6funwcYooWdQh7b2C6EP2yrC-hfTMs-xdDuoMSDgQyykmtmATFsIjwB-ajpDC49PbaM193bVyq1cfdvITZEIS6-MIf8uDg-CE7KuotBXK-UMXkVTsfpoFjSILmez1tvxe6-7kaARDmZMidyX2VruvOzAncfa0mFhhTW2WOnO5TS7NrT95vg475TqaD03lNZ_R1D-0ilxM-3m6L1TJ14/https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2F%2Fgithub.com%2FESIPFed%2FGeoweaver__%3B%21%21JYXjzlvb%21kaz6TKf8FeZBuGSlcUlTukzY1TTcu0VzKyeOCoRDFiKHm2q368H3etyn_tqZQI7yoVPGkvCE1Lk%24" target="_blank" id="OWAfcd7ac4c-46b6-7a8e-d3bd-4a908b4f8229" class="OWAAutoLink" title="Original URL: https://github.com/ESIPFed/Geoweaver. Click or tap if you trust this link." rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="3" data-loopstyle="linkonly" style="margin-top: 0px; margin-bottom: 0px;">
Geoweaver</a> | <a href="https://secure-web.cisco.com/1fos0j703uaGvoVrQKs2ToDXCbxKikSZlxRmCBjX7ZaATdcArIan5y5X4IFydylQySkQPgMNVwedSSzGv9pyUQu4YzBuKLle7iX2UulBnuDDCx-pVei3_GGSbCImMrDh4lYajQlhW6rnUTrPcNBwkHVDSA-cuy4mi5zFv4kxXJyIJwi5gDU3s1MBWf1MU51CumiD6jRP-yBZ-K38xfLug905znPChcFSpMwNUHiWxK6ZAxmCuEuyjyekmQR1_jhf0_rfyC0-ovVg1Z5ZqLroLFCrw7Dtv33Po3s5KEfa2c1GTIHhQr-pPipD78qlr4TaMsAGjKPWJR6Uo781WqPRw92VKIWy7oRBkhm8--Hg6mSxFTao0d6xgTEav7vBahJCrEva_ZAseXBaLmusV0SBVU1ZO3kAJ__ByZyrfJks5_mo/https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2F%2Fsecure-web.cisco.com%2F1SPrGFCBeOk4g8ZWWAmZfjbKBEaQRE1VYgqrR2zi6YkRqi_m_JfTJ6djoBQ3k2EdvlwWvXaJBDhRJxB-b4FPMXhmIcEgjl85M-PjD9MX4451ZoWZA9mTAehjDYBFkhs15ZyJooON5exdWSaATuwqsdTg2x0cboGCrP0pj9Yl5CKEhnloILMOK2xDSDyAz_7fOeEih1mxyzlXCafHGJfJWuus7IpDCoW9E7ycLVG_2jNyhtj9yEo1-IljdSDg-VEMq1RndCSnZGDJZBYL_3JQhOmzXwOliN8mqrkxIakMz4kCR4ytGmh7-JK7yBj-6mhBrmx0Ap214zSuy7uRSEwcf1n5ji0_6w08PTSojQUyoxIS7GxGm1umaHkZm3jkJCAvJ6nnvuyS1CQzlMS5vC-IxhUM72qbGLn6y3HJwIwHyO2A%2Fhttps%2A3A%2A2F%2A2Fgithub.com%2A2FESIPFed%2A2Fpygeoweaver__%3BJSUlJSU%21%21JYXjzlvb%21kaz6TKf8FeZBuGSlcUlTukzY1TTcu0VzKyeOCoRDFiKHm2q368H3etyn_tqZQI7yoVPGxdY4CcM%24" target="_blank" id="OWA2af9ae18-b780-012a-0722-ed39727a7471" class="OWAAutoLink" title="https://github.com/ESIPFed/pygeoweaver" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="4" data-loopstyle="linkonly" style="margin-top: 0px; margin-bottom: 0px;">
PyGeoweaver</a></span></p>
<p><span style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Curriculum:
<a href="https://geo-smart.github.io/curriculum" id="OWAdc12f8cc-bb7e-7b02-cc14-f40ea2f7bda9" class="OWAAutoLink" style="margin-top: 0px; margin-bottom: 0px;">
https://geo-smart.github.io/curriculum</a></span></p>
<p><span style="font-family: Calibri, Arial, Helvetica, sans-serif, serif, EmojiFont; font-size: 12pt; color: rgb(0, 0, 0);">Special Issue:
<a href="https://secure-web.cisco.com/1olTOxr1NJ3oL8HfugDx6s43JzjxqVgOm8jdtSifIg6p5BXcgH3WONxspny1akfnNvvbPabmB5rGmJYbX78RYEN4dXYjYN1eTFtmuEs4sIdsjTgVCOpnJUv3EU8YKJ6ovyRRTV497kPb75yuxa5cSExkD7D2XfY36KlU409UeFtvxqRqncwW20gMcLtUh4pEskIty4z5cggR05pNYCH_YPfM5gz0xbGxWW8kNsIexAStZPp8lAEBre1wGV-2_HbURcJE21cP281kb6wLUA5caB68ZDd964YhfAY5IuG7mHLd3whyiSyULrQsh9rJue-_QWVJKuq-rZ79MiFGAsq-YGGYOyijiRYsRv8zI2plmboaTmFuuePJxRQHydc98mOa2Z63W30ZdpIMjGh82MTJ7FZEn7TmicMuvk8NE_hzKMNQ/https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2F%2Fwww.mdpi.com%2Fjournal%2Fremotesensing%2Fspecial_issues%2FAI_GMU__%3B%21%21JYXjzlvb%21kaz6TKf8FeZBuGSlcUlTukzY1TTcu0VzKyeOCoRDFiKHm2q368H3etyn_tqZQI7yoVPGHw_gbgU%24" target="_blank" id="OWA36c7c7e8-f69d-f96c-d691-162bd35a9db3" class="OWAAutoLink" title="Original URL: https://www.mdpi.com/journal/remotesensing/special_issues/AI_GMU. Click or tap if you trust this link." rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="5" data-loopstyle="linkonly" style="margin-top: 0px; margin-bottom: 0px;">
Recent Development of Practical AI in Remote Sensing and Geoinformatics</a></span></p>
<p><span style="font-family: Calibri, Arial, Helvetica, sans-serif, serif, EmojiFont; font-size: 12pt; color: rgb(0, 0, 0);">Book:
<a href="https://secure-web.cisco.com/1jpofVhAQe9PnNhSWAnOpGAMSWQI-divOkOltPT2JbedoDaz3NDuAC9mHQSUHnJB7BcPRU5Uqq4qhEXUqWiXbD7koJZcQEb6aQFDl1lsVSoamKRUqTIFAH57KjMm3gjYtLiogajEd_sKum3lZUsBj7tqXfs8xZch7EM0Vsg7BmV9KOrzScs-DLbTx2-47SAKIk2B8rUdmcatckfnyy2_m7ElVwxSMcFnv_2wpl4ImTu1PPApsdvmH6fyKKasSp_FOX6kym-JyuufFsIlFIUZytPh6npifry97fLTUNfzOGuX0GA8ipLHbSezK4rdGeNMDU-IDXK6rh4_mo8BsYEHTN5fbaEgDHZ3H34dt5a5w0BsGCoEKUR0c7bm9rwFbkiSd1w7X2pwwesGT6FxOhUieUzX7bTnMmwzYEhHbMi6bRqA/https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2F%2Fwww.sciencedirect.com%2Fbook%2F9780323917377%2Fartificial-intelligence-in-earth-science__%3B%21%21JYXjzlvb%21kaz6TKf8FeZBuGSlcUlTukzY1TTcu0VzKyeOCoRDFiKHm2q368H3etyn_tqZQI7yoVPGGP8cP_8%24" target="_blank" id="OWA28a03841-1ba8-a67c-03da-4e1bd7eed294" class="OWAAutoLink" title="Original URL: https://www.sciencedirect.com/book/9780323917377/artificial-intelligence-in-earth-science. Click or tap if you trust this link." rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="6" data-loopstyle="linkonly" style="margin-top: 0px; margin-bottom: 0px;">
Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges</a> - ISBN:
</span><span style="letter-spacing: 0.1pt; font-family: Arial, sans-serif, serif, EmojiFont; font-size: 12pt; color: rgb(0, 0, 0);">9780323917377</span></p>
<p><span style="font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica Neue", sans-serif, serif, EmojiFont; font-size: 16px; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);"><a href="https://link.springer.com/book/10.1007/978-3-031-41758-0?utm_medium=referral&utm_source=google_books&utm_campaign=3_pier05_buy_print&utm_content=en_08082017" target="_blank" id="OWA660ae0ce-259a-1a9b-c245-e01bdcb1cd2d" class="OWAAutoLink" title="Original URL: https://link.springer.com/book/10.1007/978-3-031-41758-0?utm_medium=referral&utm_source=google_books&utm_campaign=3_pier05_buy_print&utm_content=en_08082017. Click or tap if you trust this link." rel="noopener noreferrer" data-auth="Verified" data-loopstyle="linkonly" data-linkindex="9" style="margin: 0px; background-color: rgb(255, 255, 255); text-align: left;">Actionable
Science of Global Environment Change </a></span><span style="font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica Neue", sans-serif, serif, EmojiFont; font-size: 16px; color: rgb(51, 51, 51); background-color: rgb(255, 255, 255);">-
ISBN: 978-3-031-41758-0</span></p>
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