{"691455":{"#nid":"691455","#data":{"type":"event","title":"EAS Seminar Series - Dr. Douglas Brinkerhoff","body":[{"value":"\u003Cp\u003EMachine-learning surrogates for ice dynamics are often motivated by thebhigh computational cost of traditional flow models. Here, I describe a somewhat unexpected outcome of pursuing that approach: attempting to buildneural-network emulators ultimately led back to classical numericalmethods\u00e2\u20ac\u201dalbeit with several ideas borrowed from modern machine learning.Initial work focused on graph-based neural operators and diffusion-style architectures designed to emulate shallow-shelf ice dynamics. These models emphasized properties that are also desirable in physical solvers: rotational and scale invariance, discretization independence, and information transport mechanisms that do not rely on fixed receptive fields. While such architectures produced promising emulators, the design process revealed strong parallels with well-established numerical techniques.These insights ultimately motivated the development of Glide, a GPU-accelerated ice-dynamics solver built around nonlinear geometric multigrid and discretization-invariant transport operators. Many structural features of modern neural architectures have direct numerical analogues:multigrid V-cycles resemble U-Net hierarchies, restriction and prolongationcorrespond to pooling and upsampling, and stencil-based flux operators actas physics-consistent convolutional layers. Unlike neural emulators, however, this approach preserves exact physical constraints, delivers predictable convergence properties, and is amenable to implicit time-stepping schemes. As with PINNs and surrogates, the model remains differentiable for inverse problems through adjoint methods, while being less expensive to differentiate through time because of the lack of hidden state.The resulting solver achieves orders-of-magnitude performance gains through GPU-native implementation while retaining the robustness of classical PDE methods. More broadly, this work suggests that the interaction between machine learning and scientific computing need not always produce neural surrogates\u00e2\u20ac\u201dsometimes the most productive outcome is a re-examination of classical algorithms through the lens of modern ML architectures.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMachine-learning surrogates for ice dynamics are often motivated by thebhigh computational cost of traditional flow models. Here, I describe a somewhat unexpected outcome of pursuing that approach: attempting to buildneural-network emulators ultimately led back to classical numericalmethods\u00e2\u20ac\u201dalbeit with several ideas borrowed from modern machine learning.Initial work focused on graph-based neural operators and diffusion-style architectures designed to emulate shallow-shelf ice dynamics. These models emphasized properties that are also desirable in physical solvers: rotational and scale invariance, discretization independence, and information transport mechanisms that do not rely on fixed receptive fields. While such architectures produced promising emulators, the design process revealed strong parallels with well-established numerical techniques.These insights ultimately motivated the development of Glide, a GPU-accelerated ice-dynamics solver built around nonlinear geometric multigrid and discretization-invariant transport operators. Many structural features of modern neural architectures have direct numerical analogues:multigrid V-cycles resemble U-Net hierarchies, restriction and prolongationcorrespond to pooling and upsampling, and stencil-based flux operators actas physics-consistent convolutional layers. Unlike neural emulators, however, this approach preserves exact physical constraints, delivers predictable convergence properties, and is amenable to implicit time-stepping schemes. As with PINNs and surrogates, the model remains differentiable for inverse problems through adjoint methods, while being less expensive to differentiate through time because of the lack of hidden state.The resulting solver achieves orders-of-magnitude performance gains through GPU-native implementation while retaining the robustness of classical PDE methods. More broadly, this work suggests that the interaction between machine learning and scientific computing need not always produce neural surrogates\u00e2\u20ac\u201dsometimes the most productive outcome is a re-examination of classical algorithms through the lens of modern ML architectures.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Why my glacier flow emulator turned back into a PDE solver: GPU-accelerated multigrid, ML-inspired transport operators, and the difficulties that necessitated them."}],"uid":"36678","created_gmt":"2026-08-05 11:12:08","changed_gmt":"2026-08-11 14:12:55","author":"tbuchanan9","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-12-03T11:00:00-05:00","event_time_end":"2026-12-03T12:00:00-05:00","event_time_end_last":"2026-12-03T12:00:00-05:00","gmt_time_start":"2026-12-03 16:00:00","gmt_time_end":"2026-12-03 17:00:00","gmt_time_end_last":"2026-12-03 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"EST L1205","extras":["free_food"],"hg_media":{"680795":{"id":"680795","type":"image","title":"Brinkerhoff.jpg","body":null,"created":"1785938387","gmt_created":"2026-08-05 13:59:47","changed":"1785938387","gmt_changed":"2026-08-05 13:59:47","alt":"Brinkerhoff","file":{"fid":"265114","name":"Brinkerhoff.jpg","image_path":"\/sites\/default\/files\/2026\/08\/05\/Brinkerhoff.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/08\/05\/Brinkerhoff.jpg","mime":"image\/jpeg","size":885452,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/08\/05\/Brinkerhoff.jpg?itok=v0iZfJ1W"}}},"media_ids":["680795"],"related_links":[{"url":"https:\/\/scholar.google.com\/citations?user=FqU6ON8AAAAJ\u0026hl=en","title":""}],"groups":[{"id":"364801","name":"School of Earth and Atmospheric Sciences (EAS)"}],"categories":[],"keywords":[{"id":"175623","name":"EAS Seminar"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"691599":{"#nid":"691599","#data":{"type":"event","title":"EAS Seminar Series - Dr. Matthew Bilskie","body":[{"value":"\u003Cp\u003ECoastal hazards result from interacting physical processes that span a wide range of spatial and temporal scales. Accurately representing these processes remains a fundamental challenge for predicting coastal flooding and landscape response, particularly as the coastal environment and the hazards affecting it continue to change.\u003C\/p\u003E\u003Cp\u003EThis seminar will present research that integrates numerical modeling, field observations, and remote sensing to improve understanding and prediction of coastal hazards and to inform resilience strategies. Examples from the southeastern United States will illustrate how process-based hydrodynamic models are being advanced toward high-resolution, probabilistic, and real-time predictions of coastal flooding. Field observations and UAV-based methods provide complementary measurements of coastal systems at scales that are difficult to resolve, helping investigate processes within marshes, barrier islands, and other dynamic coastal environments.\u003C\/p\u003E\u003Cp\u003EThe seminar will also explore how these capabilities can be translated from hazard characterization into resilience design. Ongoing research integrates observations and models across scales to quantify the protective function of natural coastal systems and evaluate nature-based and hybrid solutions for flood and shoreline protection, including applications at coastal military installations. Taken together, this work illustrates opportunities to connect understanding of coastal processes, hazard prediction, and engineering implementation to support more resilient coastal systems.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECoastal hazards result from interacting physical processes that span a wide range of spatial and temporal scales. Accurately representing these processes remains a fundamental challenge for predicting coastal flooding and landscape response, particularly as the coastal environment and the hazards affecting it continue to change.\u003C\/p\u003E\u003Cp\u003EThis seminar will present research that integrates numerical modeling, field observations, and remote sensing to improve understanding and prediction of coastal hazards and to inform resilience strategies. Examples from the southeastern United States will illustrate how process-based hydrodynamic models are being advanced toward high-resolution, probabilistic, and real-time predictions of coastal flooding. Field observations and UAV-based methods provide complementary measurements of coastal systems at scales that are difficult to resolve, helping investigate processes within marshes, barrier islands, and other dynamic coastal environments.\u003C\/p\u003E\u003Cp\u003EThe seminar will also explore how these capabilities can be translated from hazard characterization into resilience design. Ongoing research integrates observations and models across scales to quantify the protective function of natural coastal systems and evaluate nature-based and hybrid solutions for flood and shoreline protection, including applications at coastal military installations. Taken together, this work illustrates opportunities to connect understanding of coastal processes, hazard prediction, and engineering implementation to support more resilient coastal systems.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Multiscale Modeling and Observation of Coastal Processes, Hazards, and Resilience"}],"uid":"36678","created_gmt":"2026-08-11 11:46:46","changed_gmt":"2026-08-11 11:51:32","author":"tbuchanan9","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-10T11:00:00-04:00","event_time_end":"2026-09-10T12:00:00-04:00","event_time_end_last":"2026-09-10T12:00:00-04:00","gmt_time_start":"2026-09-10 15:00:00","gmt_time_end":"2026-09-10 16:00:00","gmt_time_end_last":"2026-09-10 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"EST L1205","extras":["free_food"],"hg_media":{"680835":{"id":"680835","type":"image","title":"Headshot Bilskie","body":null,"created":"1786448944","gmt_created":"2026-08-11 11:49:04","changed":"1786448944","gmt_changed":"2026-08-11 11:49:04","alt":"Headshot Bilskie","file":{"fid":"265159","name":"Headshot-Bilskie.jpg","image_path":"\/sites\/default\/files\/2026\/08\/11\/Headshot-Bilskie.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/08\/11\/Headshot-Bilskie.jpg","mime":"image\/jpeg","size":33209,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/08\/11\/Headshot-Bilskie.jpg?itok=3JcBsw6G"}}},"media_ids":["680835"],"related_links":[{"url":"https:\/\/engineering.uga.edu\/team_member\/matthew-v-bilskie\/","title":""}],"groups":[{"id":"364801","name":"School of Earth and Atmospheric Sciences (EAS)"}],"categories":[],"keywords":[{"id":"175623","name":"EAS Seminar"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"691523":{"#nid":"691523","#data":{"type":"event","title":"EAS Seminar Series - Dr. Uzonna Anyiam","body":[{"value":"\u003Cp\u003ESubsurface fluids govern many of the Earth\u0027s most important geological processes and are central to the discovery, development, and sustainable management of energy and mineral resources. Whether exploring for hydrocarbons, geothermal energy, groundwater, critical minerals, or secure CO\u2082 storage reservoirs, accurately characterizing the occurrence, migration, and rock-fluid interactions of subsurface fluids is fundamental to reducing exploration risk, optimizing resource recovery, and protecting the environment. Although fossil fuels have fueled global economic growth and remain the world\u0027s dominant energy source, their continued use presents significant environmental challenges, particularly greenhouse gas emissions and climate change. Achieving a resilient and sustainable energy future will therefore require a balanced strategy that expands renewable energy resources while reducing the carbon footprint of conventional energy systems through technologies such as carbon capture, utilization, and storage (CCUS). In this talk, I demonstrate how integrated basin analysis, advanced reservoir characterization, and geophysical imaging provide a unified framework for understanding subsurface fluid systems across diverse geological settings. Using case studies from the Gulf of America and the Niger Delta Basin, I illustrate how fluid migration pathways, reservoir architecture, and rock-fluid interactions govern hydrocarbon accumulation, reservoir performance, and the long-term integrity of geological CO\u2082 storage. I further discuss how these same geological principles can be applied to the exploration and sustainable development of geothermal resources. By integrating geological, geophysical, and reservoir-scale observations, this work highlights the pivotal role of subsurface fluid characterization in advancing hydrocarbon exploration, enabling secure carbon sequestration, and accelerating the transition toward cleaner, more sustainable energy systems. Understanding how fluids move through the Earth\u0027s subsurface is not only fundamental to geoscience; it is increasingly essential for meeting the world\u0027s future energy, environmental, and climate goals.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESubsurface fluids govern many of the Earth\u0027s most important geological processes and are central to the discovery, development, and sustainable management of energy and mineral resources. Whether exploring for hydrocarbons, geothermal energy, groundwater, critical minerals, or secure CO\u2082 storage reservoirs, accurately characterizing the occurrence, migration, and rock-fluid interactions of subsurface fluids is fundamental to reducing exploration risk, optimizing resource recovery, and protecting the environment. Although fossil fuels have fueled global economic growth and remain the world\u0027s dominant energy source, their continued use presents significant environmental challenges, particularly greenhouse gas emissions and climate change. Achieving a resilient and sustainable energy future will therefore require a balanced strategy that expands renewable energy resources while reducing the carbon footprint of conventional energy systems through technologies such as carbon capture, utilization, and storage (CCUS). In this talk, I demonstrate how integrated basin analysis, advanced reservoir characterization, and geophysical imaging provide a unified framework for understanding subsurface fluid systems across diverse geological settings. Using case studies from the Gulf of America and the Niger Delta Basin, I illustrate how fluid migration pathways, reservoir architecture, and rock-fluid interactions govern hydrocarbon accumulation, reservoir performance, and the long-term integrity of geological CO\u2082 storage. I further discuss how these same geological principles can be applied to the exploration and sustainable development of geothermal resources. By integrating geological, geophysical, and reservoir-scale observations, this work highlights the pivotal role of subsurface fluid characterization in advancing hydrocarbon exploration, enabling secure carbon sequestration, and accelerating the transition toward cleaner, more sustainable energy systems. Understanding how fluids move through the Earth\u0027s subsurface is not only fundamental to geoscience; it is increasingly essential for meeting the world\u0027s future energy, environmental, and climate goals.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Understanding subsurface fluids: the foundation of energy exploration, carbon storage, and a sustainable energy future"}],"uid":"36678","created_gmt":"2026-08-06 17:30:20","changed_gmt":"2026-08-06 17:41:55","author":"tbuchanan9","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-29T11:00:00-04:00","event_time_end":"2026-10-29T12:00:00-04:00","event_time_end_last":"2026-10-29T12:00:00-04:00","gmt_time_start":"2026-10-29 15:00:00","gmt_time_end":"2026-10-29 16:00:00","gmt_time_end_last":"2026-10-29 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"EST L1205","extras":["free_food"],"hg_media":{"680803":{"id":"680803","type":"image","title":"Anyiam Headshot","body":null,"created":"1786038052","gmt_created":"2026-08-06 17:40:52","changed":"1786038052","gmt_changed":"2026-08-06 17:40:52","alt":"Anyiam Headshot","file":{"fid":"265124","name":"Anyiam-Headshot.png","image_path":"\/sites\/default\/files\/2026\/08\/06\/Anyiam-Headshot.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/08\/06\/Anyiam-Headshot.png","mime":"image\/png","size":3352308,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/08\/06\/Anyiam-Headshot.png?itok=jc7INDeL"}}},"media_ids":["680803"],"related_links":[{"url":"https:\/\/hope.edu\/directory\/people\/anyiam-uzonna\/index.html","title":""}],"groups":[{"id":"364801","name":"School of Earth and Atmospheric Sciences (EAS)"}],"categories":[],"keywords":[{"id":"175623","name":"EAS Seminar"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"691505":{"#nid":"691505","#data":{"type":"event","title":"EAS Seminar Series - Dr. Jacob Cohen","body":[{"value":"\u003Cp\u003EMarine heatwaves (MHWs) are oceanic extreme events characterized by prolonged periods of unusually high sea surface temperatures. MHWs cause devastating effects on biological communities and marine ecosystems. MHW events can last from days to years and move across ocean basins. While MHWs have traditionally been studied across grid cells, recent work has explored the spatiotemporal representation of MHWs. Here, we use Ocetrac, a python package for identifying and tracking spatially connected MHWs, to study the spatiotemporal evolution of MHWs and to understand their drivers, impacts, and prediction. First, we evaluate drivers of large North Pacific MHWs in a large ensemble of climate simulations using the Community Earth System Model (CESM). We demonstrate that regional MHWs are controlled by different atmospheric drivers and are related to climate modes like the Pacific Decadal Oscillation and El Ni\u00f1o. Next, we investigate the biogeochemical impacts of the Blob 2.0, a consequential MHW that occurred in the Northeast Pacific in summer 2019. We use CESM and a set of observational datasets to show that warm temperature anomalies associated with the Blob 2.0 negatively correlate with dissolved inorganic carbon and dissolved oxygen. Finally, we evaluate global spatiotemporal forecasts of MHWs and develop intuitive metrics that demonstrate long-term forecast skill of MHW area, location, and intensity. Together, these studies improve our understanding of MHWs and advance our capabilities to plan for and respond to extreme ocean temperatures.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMarine heatwaves (MHWs) are oceanic extreme events characterized by prolonged periods of unusually high sea surface temperatures. MHWs cause devastating effects on biological communities and marine ecosystems. MHW events can last from days to years and move across ocean basins. While MHWs have traditionally been studied across grid cells, recent work has explored the spatiotemporal representation of MHWs. Here, we use Ocetrac, a python package for identifying and tracking spatially connected MHWs, to study the spatiotemporal evolution of MHWs and to understand their drivers, impacts, and prediction. First, we evaluate drivers of large North Pacific MHWs in a large ensemble of climate simulations using the Community Earth System Model (CESM). We demonstrate that regional MHWs are controlled by different atmospheric drivers and are related to climate modes like the Pacific Decadal Oscillation and El Ni\u00f1o. Next, we investigate the biogeochemical impacts of the Blob 2.0, a consequential MHW that occurred in the Northeast Pacific in summer 2019. We use CESM and a set of observational datasets to show that warm temperature anomalies associated with the Blob 2.0 negatively correlate with dissolved inorganic carbon and dissolved oxygen. Finally, we evaluate global spatiotemporal forecasts of MHWs and develop intuitive metrics that demonstrate long-term forecast skill of MHW area, location, and intensity. Together, these studies improve our understanding of MHWs and advance our capabilities to plan for and respond to extreme ocean temperatures.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Understanding Marine Heatwaves as Spatiotemporal Events: Drivers, Impacts, and Predictability"}],"uid":"36678","created_gmt":"2026-08-06 12:52:06","changed_gmt":"2026-08-06 12:56:08","author":"tbuchanan9","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-01T11:00:00-04:00","event_time_end":"2026-10-01T12:00:00-04:00","event_time_end_last":"2026-10-01T12:00:00-04:00","gmt_time_start":"2026-10-01 15:00:00","gmt_time_end":"2026-10-01 16:00:00","gmt_time_end_last":"2026-10-01 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"EST L1205","extras":["free_food"],"hg_media":{"680799":{"id":"680799","type":"image","title":"Cohen Headshot","body":null,"created":"1786020919","gmt_created":"2026-08-06 12:55:19","changed":"1786020919","gmt_changed":"2026-08-06 12:55:19","alt":"Cohen Headshot","file":{"fid":"265120","name":"Cohen-Headshot.jpg","image_path":"\/sites\/default\/files\/2026\/08\/06\/Cohen-Headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/08\/06\/Cohen-Headshot.jpg","mime":"image\/jpeg","size":984664,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/08\/06\/Cohen-Headshot.jpg?itok=YHypIhjc"}}},"media_ids":["680799"],"related_links":[{"url":"https:\/\/www.pmel.noaa.gov\/about-us\/people\/dr-jacob-t-cohen","title":""}],"groups":[{"id":"364801","name":"School of Earth and Atmospheric Sciences (EAS)"}],"categories":[],"keywords":[{"id":"175623","name":"EAS Seminar"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"691395":{"#nid":"691395","#data":{"type":"event","title":"EAS Seminar Series - Dr. Jim Crawford","body":[{"value":"\u003Cp\u003EAir quality research is in a period of rich, multi-perspective observations. The constellation of geostationary air quality satellites has dramatically expanded information from space, complementing the long-term record from instruments in low-earth orbit. Ground monitoring has expanded globally with greater investments in regulatory networks. The density of ground monitoring has also benefitted from the proliferation of small sensors that continue to improve in quality. These expanded observations provide unprecedented detail. They also enhance the potential for the integration of chemical observations and meteorological context.\u003C\/p\u003E\u003Cp\u003EAir quality outcomes depend heavily on synoptic conditions as well as local-scale dynamics related to land-sea breezes, mountain-valley circulations, and urban-rural contrasts. In addition to these influences, capturing the role of boundary layer meteorology remains one of the most critical elements in understanding air quality chemistry and the relationship between conditions aloft and impacts to surface air quality. Ground observations show clear temporal gradients related to boundary layer mixing, and aircraft profiles have consistently shown that large vertical gradients and even layering can exist in what is often assumed to be a well-mixed boundary layer.\u003C\/p\u003E\u003Cp\u003EDespite the strong relationship between air quality chemistry and meteorology, the deliberate sampling of chemistry and urban-scale dynamics with an intent to improve predictability of both is lacking. NASA\u2019s B777 research aircraft opens new opportunities in remote sensing that enable concurrent measurements of chemistry and meteorology in previously untested combinations. Coupled with in situ sampling by a second profiling aircraft, the resulting observations would be able to constrain earth system models in ways that could more effectively isolate the chemical and dynamical factors affecting air quality and ask broader questions about the coupling between earth system components (e.g., land surface, atmosphere). The interpretation of satellite observations would also be expected to benefit from the improved prediction of gradients in the composition of the lower atmosphere. The resulting view from space combined with models will enable better assessment of the impact of megacities and urban settings across local, regional, and global scales. Examples from previous field studies and thoughts on future opportunities for expanded observations will be discussed.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAir quality research is in a period of rich, multi-perspective observations. The constellation of geostationary air quality satellites has dramatically expanded information from space, complementing the long-term record from instruments in low-earth orbit. Ground monitoring has expanded globally with greater investments in regulatory networks. The density of ground monitoring has also benefitted from the proliferation of small sensors that continue to improve in quality. These expanded observations provide unprecedented detail. They also enhance the potential for the integration of chemical observations and meteorological context.\u003C\/p\u003E\u003Cp\u003EAir quality outcomes depend heavily on synoptic conditions as well as local-scale dynamics related to land-sea breezes, mountain-valley circulations, and urban-rural contrasts. In addition to these influences, capturing the role of boundary layer meteorology remains one of the most critical elements in understanding air quality chemistry and the relationship between conditions aloft and impacts to surface air quality. Ground observations show clear temporal gradients related to boundary layer mixing, and aircraft profiles have consistently shown that large vertical gradients and even layering can exist in what is often assumed to be a well-mixed boundary layer.\u003C\/p\u003E\u003Cp\u003EDespite the strong relationship between air quality chemistry and meteorology, the deliberate sampling of chemistry and urban-scale dynamics with an intent to improve predictability of both is lacking. NASA\u2019s B777 research aircraft opens new opportunities in remote sensing that enable concurrent measurements of chemistry and meteorology in previously untested combinations. Coupled with in situ sampling by a second profiling aircraft, the resulting observations would be able to constrain earth system models in ways that could more effectively isolate the chemical and dynamical factors affecting air quality and ask broader questions about the coupling between earth system components (e.g., land surface, atmosphere). The interpretation of satellite observations would also be expected to benefit from the improved prediction of gradients in the composition of the lower atmosphere. The resulting view from space combined with models will enable better assessment of the impact of megacities and urban settings across local, regional, and global scales. Examples from previous field studies and thoughts on future opportunities for expanded observations will be discussed.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Future directions in air quality research: A call for tighter coupling between chemical and meteorological observations."}],"uid":"36678","created_gmt":"2026-08-03 13:11:03","changed_gmt":"2026-08-03 13:15:14","author":"tbuchanan9","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-05T11:00:00-05:00","event_time_end":"2026-11-05T12:00:00-05:00","event_time_end_last":"2026-11-05T12:00:00-05:00","gmt_time_start":"2026-11-05 16:00:00","gmt_time_end":"2026-11-05 17:00:00","gmt_time_end_last":"2026-11-05 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"EST L1205","extras":["free_food"],"hg_media":{"680750":{"id":"680750","type":"image","title":"Crawford Headshot","body":null,"created":"1785762825","gmt_created":"2026-08-03 13:13:45","changed":"1785762825","gmt_changed":"2026-08-03 13:13:45","alt":"Crawford Headshot","file":{"fid":"265059","name":"Crawford-Headshot.jpg","image_path":"\/sites\/default\/files\/2026\/08\/03\/Crawford-Headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/08\/03\/Crawford-Headshot.jpg","mime":"image\/jpeg","size":1231600,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/08\/03\/Crawford-Headshot.jpg?itok=wu6tD4AC"}}},"media_ids":["680750"],"related_links":[{"url":"https:\/\/www.nasa.gov\/langley\/science\/impaqt\/","title":""}],"groups":[{"id":"364801","name":"School of Earth and Atmospheric Sciences (EAS)"}],"categories":[],"keywords":[{"id":"175623","name":"EAS Seminar"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"691371":{"#nid":"691371","#data":{"type":"event","title":"EAS Seminar Series - Dr. Donghui Xu","body":[{"value":"\u003Cp\u003EEarth System Models (ESMs) are essential tools for simulating global water and energy cycles and supporting water resource assessments. However, the accuracy of their hydrologic simulations is often limited by parametric uncertainties and process simplifications. In this presentation, I will present my research efforts to enhance the representation of hydrologic and hydrodynamic processes in a fully coupled ESM. However, its coarse resolution (e.g., 50 km \u2013 100 km) further limits their ability to simulate urban flooding dynamics at the scale relevant to human activities and infrastructure. To address this challenge, I contributed to the development of a new river dynamics core that solves two-dimensional shallow water equations, enabling efficient high-fidelity hydrodynamic simulations (e.g., 30m) at large scales. I will demonstrate this new capability using a case study of compound flooding driven by Hurricane Irene. By coupling with a regionally refined atmospheric model, a two-dimensional barotropic ocean model, and a high-resolution land surface model within an ESM, the multi-scale modeling framework captures unprecedented details of flooding processes in complex urban environments. Despite these advances, such actionable-scale flooding simulations remain computationally infeasible for real-time forecasting. To further improve the model efficiency, I proposed a real-time flooding forecast framework based on a machine learning based surrogate model trained on outputs from the physical flooding model prior to flood events. During an event, the surrogate model can rapidly predict flooding extent using forecasted precipitation within seconds on a low-end computer, while also quantifying uncertainties associated with precipitation forecasts.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EEarth System Models (ESMs) are essential tools for simulating global water and energy cycles and supporting water resource assessments. However, the accuracy of their hydrologic simulations is often limited by parametric uncertainties and process simplifications. In this presentation, I will present my research efforts to enhance the representation of hydrologic and hydrodynamic processes in a fully coupled ESM. However, its coarse resolution (e.g., 50 km \u2013 100 km) further limits their ability to simulate urban flooding dynamics at the scale relevant to human activities and infrastructure. To address this challenge, I contributed to the development of a new river dynamics core that solves two-dimensional shallow water equations, enabling efficient high-fidelity hydrodynamic simulations (e.g., 30m) at large scales. I will demonstrate this new capability using a case study of compound flooding driven by Hurricane Irene. By coupling with a regionally refined atmospheric model, a two-dimensional barotropic ocean model, and a high-resolution land surface model within an ESM, the multi-scale modeling framework captures unprecedented details of flooding processes in complex urban environments. Despite these advances, such actionable-scale flooding simulations remain computationally infeasible for real-time forecasting. To further improve the model efficiency, I proposed a real-time flooding forecast framework based on a machine learning based surrogate model trained on outputs from the physical flooding model prior to flood events. During an event, the surrogate model can rapidly predict flooding extent using forecasted precipitation within seconds on a low-end computer, while also quantifying uncertainties associated with precipitation forecasts.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Actionable-scale Flooding Simulations with a Multi-scale Modeling Framework"}],"uid":"36678","created_gmt":"2026-07-31 14:08:48","changed_gmt":"2026-07-31 14:24:35","author":"tbuchanan9","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-17T11:00:00-04:00","event_time_end":"2026-09-17T12:00:00-04:00","event_time_end_last":"2026-09-17T12:00:00-04:00","gmt_time_start":"2026-09-17 15:00:00","gmt_time_end":"2026-09-17 16:00:00","gmt_time_end_last":"2026-09-17 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"EST L1205","extras":["free_food"],"hg_media":{"680737":{"id":"680737","type":"image","title":"Xu Headshot","body":null,"created":"1785507154","gmt_created":"2026-07-31 14:12:34","changed":"1785507154","gmt_changed":"2026-07-31 14:12:34","alt":"Xu Headshot","file":{"fid":"265044","name":"Xu-Headshot.jpg","image_path":"\/sites\/default\/files\/2026\/07\/31\/Xu-Headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/07\/31\/Xu-Headshot.jpg","mime":"image\/jpeg","size":1021270,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/07\/31\/Xu-Headshot.jpg?itok=uN99W429"}}},"media_ids":["680737"],"related_links":[{"url":"https:\/\/scholar.google.com\/citations?user=D1cho0wAAAAJ\u0026hl=en","title":""}],"groups":[{"id":"364801","name":"School of Earth and Atmospheric Sciences (EAS)"}],"categories":[],"keywords":[{"id":"175623","name":"EAS Seminar"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"691370":{"#nid":"691370","#data":{"type":"event","title":"EAS Seminar Series - Dr. Ignacio Sepulveda","body":[{"value":"\u003Cp\u003EThe seminar will highlight three research efforts developed in Chile during my stay in 2025. First, through collaborations with private organizations, we measured the Kamchatka tsunami as it entered the Valdivia River Estuary in Chile. These unique ADCP measurements included currents and water levels, providing rare observations of tsunami-river-tide interactions. Building on the success of this deployment, we installed two permanent monitoring stations in the Valdivia River to continuously measure water levels, waves, temperature, salinity, and dissolved oxygen.\u003C\/p\u003E\u003Cp\u003ESecond, I introduce the \u003Cem\u003ETRIDENT \u003C\/em\u003Emodel (Tides and Rivers Influencing the Dynamic Evolution of Nearshore Tsunamis), a modeling framework designed to simulate the coupling between tsunamis, tides, and river flows. The coupled model is designed for estuaries, tidal channels, and fjords, and it addresses key challenges when simulating these interactions.\u003C\/p\u003E\u003Cp\u003EFinally, I will present results from a study that links dispersive tsunami wave trains visible in satellite imagery to near-trench earthquake rupture. By analyzing tsunami dispersion in the near-source wave field, this approach provides a new observational footprint for constraining source processes that improves resolving power near the trench compared with traditional seismic, geodetic, and tsunami sensing technologies.\u003C\/p\u003E\u003Cp\u003ECollectively, these studies demonstrate complementary advances, from field deployment to coupled modeling for hazard prediction to remote-sensing-based discovery, that expand the toolkit for understanding and assessing tsunami hazards and risks.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe seminar will highlight three research efforts developed in Chile during my stay in 2025. First, through collaborations with private organizations, we measured the Kamchatka tsunami as it entered the Valdivia River Estuary in Chile. These unique ADCP measurements included currents and water levels, providing rare observations of tsunami-river-tide interactions. Building on the success of this deployment, we installed two permanent monitoring stations in the Valdivia River to continuously measure water levels, waves, temperature, salinity, and dissolved oxygen.\u003C\/p\u003E\u003Cp\u003ESecond, I introduce the \u003Cem\u003ETRIDENT \u003C\/em\u003Emodel (Tides and Rivers Influencing the Dynamic Evolution of Nearshore Tsunamis), a modeling framework designed to simulate the coupling between tsunamis, tides, and river flows. The coupled model is designed for estuaries, tidal channels, and fjords, and it addresses key challenges when simulating these interactions.\u003C\/p\u003E\u003Cp\u003EFinally, I will present results from a study that links dispersive tsunami wave trains visible in satellite imagery to near-trench earthquake rupture. By analyzing tsunami dispersion in the near-source wave field, this approach provides a new observational footprint for constraining source processes that improves resolving power near the trench compared with traditional seismic, geodetic, and tsunami sensing technologies.\u003C\/p\u003E\u003Cp\u003ECollectively, these studies demonstrate complementary advances, from field deployment to coupled modeling for hazard prediction to remote-sensing-based discovery, that expand the toolkit for understanding and assessing tsunami hazards and risks.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"From Observation to Prediction: A Year of Tsunami Science in Chile"}],"uid":"36678","created_gmt":"2026-07-31 14:00:29","changed_gmt":"2026-07-31 14:08:02","author":"tbuchanan9","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-09-24T11:00:00-04:00","event_time_end":"2026-09-24T12:00:00-04:00","event_time_end_last":"2026-09-24T12:00:00-04:00","gmt_time_start":"2026-09-24 15:00:00","gmt_time_end":"2026-09-24 16:00:00","gmt_time_end_last":"2026-09-24 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"EST L1205","extras":["free_food"],"hg_media":{"680736":{"id":"680736","type":"image","title":"Sepulveda Headshot","body":null,"created":"1785506800","gmt_created":"2026-07-31 14:06:40","changed":"1785506800","gmt_changed":"2026-07-31 14:06:40","alt":"Sepulveda Headshot","file":{"fid":"265043","name":"Sepulveda-Headshot.png","image_path":"\/sites\/default\/files\/2026\/07\/31\/Sepulveda-Headshot.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/07\/31\/Sepulveda-Headshot.png","mime":"image\/png","size":1478324,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/07\/31\/Sepulveda-Headshot.png?itok=5F-Jte4k"}}},"media_ids":["680736"],"related_links":[{"url":"https:\/\/ignaciosepu.wixsite.com\/sepulveda","title":""}],"groups":[{"id":"364801","name":"School of Earth and Atmospheric Sciences (EAS)"}],"categories":[],"keywords":[{"id":"175623","name":"EAS Seminar"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"691369":{"#nid":"691369","#data":{"type":"event","title":"EAS Seminar Series - Dr. Guillaume Liniger","body":[{"value":"\u003Cp\u003EThe Southern Ocean plays an outsized role in Earth\u0027s climate system, absorbing a disproportionate share of anthropogenic CO2 and heat, driving global nutrient cycles, and sustaining some of the most productive marine ecosystems on the planet. Yet its remoteness and harsh conditions have long made systematic observation a formidable challenge, until recently. The maturation of the BGC-Argo float program, and the decade of autonomous, depth-resolved measurements it has generated across the Southern Ocean, is transforming our ability to monitor this critical basin at seasonal to decadal timescales. In this talk, I present a research program that exploits this emerging observational capacity: combining satellite remote sensing, BGC-Argo floats, and machine learning to track how Southern Ocean biogeochemistry and carbon cycling are changing, from the scale of individual coastal polynyas to the basin-scale perspective.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Southern Ocean plays an outsized role in Earth\u0027s climate system, absorbing a disproportionate share of anthropogenic CO2 and heat, driving global nutrient cycles, and sustaining some of the most productive marine ecosystems on the planet. Yet its remoteness and harsh conditions have long made systematic observation a formidable challenge, until recently. The maturation of the BGC-Argo float program, and the decade of autonomous, depth-resolved measurements it has generated across the Southern Ocean, is transforming our ability to monitor this critical basin at seasonal to decadal timescales. In this talk, I present a research program that exploits this emerging observational capacity: combining satellite remote sensing, BGC-Argo floats, and machine learning to track how Southern Ocean biogeochemistry and carbon cycling are changing, from the scale of individual coastal polynyas to the basin-scale perspective.\u003C\/p\u003E\u003Cp\u003E*Refreshments: 12-12:30 PM, ES\u0026amp;T Atrium\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Southern Ocean from above and below: Satellites, BGC-Argo floats, and machine learning to track biogeochemical change"}],"uid":"36678","created_gmt":"2026-07-31 13:52:02","changed_gmt":"2026-07-31 13:55:30","author":"tbuchanan9","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-10-15T11:00:00-04:00","event_time_end":"2026-10-15T12:00:00-04:00","event_time_end_last":"2026-10-15T12:00:00-04:00","gmt_time_start":"2026-10-15 15:00:00","gmt_time_end":"2026-10-15 16:00:00","gmt_time_end_last":"2026-10-15 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"EST L1205","extras":["free_food"],"hg_media":{"680735":{"id":"680735","type":"image","title":"Liniger Headshot","body":null,"created":"1785506017","gmt_created":"2026-07-31 13:53:37","changed":"1785506017","gmt_changed":"2026-07-31 13:53:37","alt":"Liniger Headshot","file":{"fid":"265042","name":"Liniger-Headshot.jpg","image_path":"\/sites\/default\/files\/2026\/07\/31\/Liniger-Headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/07\/31\/Liniger-Headshot.jpg","mime":"image\/jpeg","size":4675906,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/07\/31\/Liniger-Headshot.jpg?itok=19Z35qbG"}}},"media_ids":["680735"],"related_links":[{"url":"https:\/\/www.mbari.org\/person\/guillaume-liniger\/","title":""}],"groups":[{"id":"364801","name":"School of Earth and Atmospheric Sciences (EAS)"}],"categories":[],"keywords":[{"id":"175623","name":"EAS Seminar"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}