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Dear all,</div>
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Please join us for the second Meteorology seminar of Fall 2026 this coming Tuesday, September 22, at 3 PM, given by Dr. Emily De Jong from Lawrence Livermore National Laboratory. She will speak about “Bridging Scales in Cloud Microphysics from Observation to
Simulation” (abstract below).</div>
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Dr. De Jong will be joining us remotely, but we will meet in person to watch the seminar together in EOA 1044. A Zoom link is available for those with a medical excuse or approved work off-campus. Please contact Michael Diamond (msdiamond@fsu.edu) for the link.</div>
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DATE: Tuesday September 22</div>
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TIME: 3-4 PM, please join early for refreshments</div>
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LOCATION: EOA 1044 </div>
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SPEAKER: Dr. Emily De Jong (<a href="https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fekdejong.github.io%2F&data=05%7C02%7Ceoas-seminar%40lists.fsu.edu%7C1d0f25c2b31a49c22e6008df13fbb786%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639251643981183586%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=A90gKUvFQ4mOKOHFn0OJjJYh6o3l0%2FLeL3a%2BBNi9b28%3D&reserved=0" originalsrc="https://ekdejong.github.io/" id="OWA1e87dd6c-225d-ccfa-1d12-b0a1639b59df" class="OWAAutoLink">https://ekdejong.github.io/</a>)</div>
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We look forward to seeing you there!</div>
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Best,</div>
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Michael on behalf of the MET seminar committee (Allison, Chelsea, & Michael)</div>
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=========</div>
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<b>Bridging Scales in Cloud Microphysics from Observation to Simulation</b></div>
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Cloud microphysics—the processes governing droplets, ice, and aerosols at microscopic scales—remains a leading source of uncertainty in weather and climate predictions. These processes shape cloud structure, precipitation, and radiative feedbacks, yet they
are neither resolvable in large-scale models nor directly constrained by most observing systems. Bridging the scale gap between observations, microphysical processes, and predictive models is a central challenge in atmospheric science.</div>
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This talk presents a data-driven approach to integrating satellite observations, high-fidelity simulations, and subgrid-scale modeling to better constrain and represent cloud microphysics across scales. First, I will present recent work that applies machine
learning to infer vertically resolved cloud properties from passive satellite observations, combining multi-modal data sources to reconstruct properties and structure that are not directly observed. This approach provides new observation-informed constraints
across regimes and helps bridge the gap between sparse microphysical measurements and global passive observations. Next, I will introduce a complementary framework for learning reduced-order representations of cloud microphysics from high-fidelity particle-based
simulations. This surrogate model discovers compact, physically-consistent, and performant representations of cloud droplet dynamics, enabling efficient and interpretable representations of warm cloud processes in weather and climate models. Together, these
approaches illustrate a pathway for integrating observations and simulations within a unified data-driven framework. By linking space-based observation to vertically-resolved cloud properties and reduced-order parameterization to droplet-scale details, this
work aims to improve the physical realism and predictive capability of atmosphere prediction systems.</div>
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<b>Dr. Michael S. Diamond</b></div>
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Assistant Professor of Meteorology</div>
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<a href="https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmichael-s-diamond.github.io%2Fcamp%2F&data=05%7C02%7Ceoas-seminar%40lists.fsu.edu%7C1d0f25c2b31a49c22e6008df13fbb786%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639251643981240470%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=yoUFGPjicuRr0b0E9keud0B4hQ97afLZvld3nZ7U4Pk%3D&reserved=0" originalsrc="https://michael-s-diamond.github.io/camp/" id="OWAc56a7a78-5e46-41ab-5357-4e1d4b099d37" class="OWAAutoLink">https://michael-s-diamond.github.io/camp/</a></div>
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