<![CDATA[EAS Seminar Series - Dr. Jemma Fadum]]> 36678 Aquatic ecosystems are constantly responding to the interactive effects of both local and global stressors. There are of course numerous and diverse ways of framing and studying these ecosystem responses, all with their own unique merits and challenges. In this seminar I’ll discuss one potential framework: viewing ecosystem scale function through the lens of biogeochemistry. Centered around the impacts of sustainable aquaculture, I’ll present case studies from Lake Yojoa (Honduras) and Whycocomagh Bay (Nova Scotia) and share how layering different analytical and modeling techniques (from metagenomics to remote sensing to theoretical models) has shed light on the cryptic biogeochemical impacts of industrial aquaculture; findings which can be applied to a broader suite of anthropogenic disturbances as well. I will conclude with demonstrating how this body of research has been particularly impactful because of concerted efforts to combine both fundamental and applied research questions in order to pursue rigorous basic science while also meaningfully working with local communities.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> tbuchanan9 1 1791201432 2026-10-05 11:57:12 1791202180 2026-10-05 12:09:40 0 0 event Aquatic ecosystems are constantly responding to the interactive effects of both local and global stressors. There are of course numerous and diverse ways of framing and studying these ecosystem responses, all with their own unique merits and challenges. In this seminar I’ll discuss one potential framework: viewing ecosystem scale function through the lens of biogeochemistry. Centered around the impacts of sustainable aquaculture, I’ll present case studies from Lake Yojoa (Honduras) and Whycocomagh Bay (Nova Scotia) and share how layering different analytical and modeling techniques (from metagenomics to remote sensing to theoretical models) has shed light on the cryptic biogeochemical impacts of industrial aquaculture; findings which can be applied to a broader suite of anthropogenic disturbances as well. I will conclude with demonstrating how this body of research has been particularly impactful because of concerted efforts to combine both fundamental and applied research questions in order to pursue rigorous basic science while also meaningfully working with local communities.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> 2026-11-19T11:00:00-05:00 2026-11-19T12:00:00-05:00 2026-11-19T12:00:00-05:00 2026-11-19 16:00:00 2026-11-19 17:00:00 2026-11-19 17:00:00 2026-11-19T11:00:00-05:00 2026-11-19T12:00:00-05:00 America/New_York America/New_York datetime 2026-11-19 11:00:00 2026-11-19 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> 681348 681348 image <![CDATA[Fadum Headshot]]> image/png 1791202112 2026-10-05 12:08:32 1791202112 2026-10-05 12:08:32 <![CDATA[]]> <![CDATA[EAS Seminar Series - Dr. Alexis Exley]]> 36678 Iceland-Scotland Overflow Water (ISOW), a dense water mass formed in the Nordic Seas, spills into the Iceland Basin through the Iceland-Faroe Ridge and Faroe Shetland Channel before propagating southwestward along the eastern flank of the Reykjanes Ridge as a deep boundary current, contributing to the lower limb of the Atlantic Meridional Overturning Circulation. Recent work has demonstrated that pathways of ISOW out of the Iceland Basin are complex and variability has not been explored on interannual and longer timescales. In this study, we use the basin-scale, eddy-rich, 40-year Atlantic Hybrid Coordinate Ocean Model (HYCOM) simulation to investigate the variability in ISOW export pathways. Simulated Lagrangian particles are released within the ISOW layer at two locations along the eastern flank of the Reykjanes Ridge and classified according to their export pathway: over the Reykjanes Ridge, through the Charlie Gibbs Fracture Zone (CGFZ) or into the Western European Basin (WEB). We show that export over the Reykjanes Ridge exhibits variability on timescales from 2.5 years to decadal and is strongly correlated with mid-depth northward transport into the Iceland Basin forced by fluctuations in the North Atlantic Current (NAC), suggesting a link to large-scale gyre dynamics. Export through the CGFZ is characterized by variability of 2.5 – 5 years and is influenced by the meridional position of the eastward-flowing NAC within the CGFZ, which can block ISOW export and divert particles into the WEB. Export pathways are shown to exhibit a significant depth-dependence such that shallower layers are more strongly impacted by the surface circulation while deeper layers are more subject to topographic steering, results that are corroborated by utilizing observations from RAFOS floats deployed during the OSNAP campaign. Together, these findings illustrate the high-degree of variability in pathways of ISOW export and contributes to the growing body of evidence that challenges the notion of a single, dominant pathway out of the Iceland Basin.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> tbuchanan9 1 1789141466 2026-09-11 15:44:26 1789141645 2026-09-11 15:47:25 0 0 event Iceland-Scotland Overflow Water (ISOW), a dense water mass formed in the Nordic Seas, spills into the Iceland Basin through the Iceland-Faroe Ridge and Faroe Shetland Channel before propagating southwestward along the eastern flank of the Reykjanes Ridge as a deep boundary current, contributing to the lower limb of the Atlantic Meridional Overturning Circulation. Recent work has demonstrated that pathways of ISOW out of the Iceland Basin are complex and variability has not been explored on interannual and longer timescales. In this study, we use the basin-scale, eddy-rich, 40-year Atlantic Hybrid Coordinate Ocean Model (HYCOM) simulation to investigate the variability in ISOW export pathways. Simulated Lagrangian particles are released within the ISOW layer at two locations along the eastern flank of the Reykjanes Ridge and classified according to their export pathway: over the Reykjanes Ridge, through the Charlie Gibbs Fracture Zone (CGFZ) or into the Western European Basin (WEB). We show that export over the Reykjanes Ridge exhibits variability on timescales from 2.5 years to decadal and is strongly correlated with mid-depth northward transport into the Iceland Basin forced by fluctuations in the North Atlantic Current (NAC), suggesting a link to large-scale gyre dynamics. Export through the CGFZ is characterized by variability of 2.5 – 5 years and is influenced by the meridional position of the eastward-flowing NAC within the CGFZ, which can block ISOW export and divert particles into the WEB. Export pathways are shown to exhibit a significant depth-dependence such that shallower layers are more strongly impacted by the surface circulation while deeper layers are more subject to topographic steering, results that are corroborated by utilizing observations from RAFOS floats deployed during the OSNAP campaign. Together, these findings illustrate the high-degree of variability in pathways of ISOW export and contributes to the growing body of evidence that challenges the notion of a single, dominant pathway out of the Iceland Basin.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> 2026-11-12T11:00:00-05:00 2026-11-12T12:00:00-05:00 2026-11-12T12:00:00-05:00 2026-11-12 16:00:00 2026-11-12 17:00:00 2026-11-12 17:00:00 2026-11-12T11:00:00-05:00 2026-11-12T12:00:00-05:00 America/New_York America/New_York datetime 2026-11-12 11:00:00 2026-11-12 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> 681138 681138 image <![CDATA[Exley Headshot]]> image/jpeg 1789141598 2026-09-11 15:46:38 1789141598 2026-09-11 15:46:38 <![CDATA[]]> <![CDATA[EAS Seminar Series - Dr. Dawn Kopacz]]> 36678 The societal impact of atmospheric science depends not only on scientific advances, but also on effective communication among diverse audiences, from students and scientists to decision-makers and the public. Yet important questions remain regarding how future atmospheric scientists develop communication skills, what factors shape their persistence within the discipline, and how weather information is interpreted and acted upon during hazardous weather events. This seminar explores the human dimensions of atmospheric science through a series of interconnected studies examining science communication training, student persistence and belonging, and weather risk communication.

Effective communication does not begin when a warning is issued; it begins with how future atmospheric scientists are educated and supported throughout their academic and professional development. Drawing on a nationwide interview study of undergraduate atmospheric science students and faculty, I will discuss how future atmospheric scientists learn to communicate weather and climate information, the value placed on science communication skills, and the opportunities and barriers associated with communication training in undergraduate programs. I will also present emerging findings from a national mixed-methods study examining student persistence in undergraduate atmospheric science programs, including the roles of belonging, peer and faculty connections, and academic experiences in shaping students' decisions to remain in the field.

These questions of how future atmospheric scientists are prepared and supported extend beyond the classroom to a broader challenge facing atmospheric science: communicating weather and climate information in ways that are meaningful, actionable, and responsive to community needs. To explore this challenge, I will discuss preliminary findings from ongoing research examining how residents of Kerr County, Texas interpret flash flood warnings and emergency messages, what factors shape protective-action decisions, and how risk information can be better aligned with community needs. Collectively, these projects invite a broader discussion about the role of communication in atmospheric science, from preparing and supporting future professionals to helping communities interpret and respond to weather and climate information.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> tbuchanan9 1 1787840439 2026-08-27 14:20:39 1787840795 2026-08-27 14:26:35 0 0 event The societal impact of atmospheric science depends not only on scientific advances, but also on effective communication among diverse audiences, from students and scientists to decision-makers and the public. Yet important questions remain regarding how future atmospheric scientists develop communication skills, what factors shape their persistence within the discipline, and how weather information is interpreted and acted upon during hazardous weather events. This seminar explores the human dimensions of atmospheric science through a series of interconnected studies examining science communication training, student persistence and belonging, and weather risk communication.

Effective communication does not begin when a warning is issued; it begins with how future atmospheric scientists are educated and supported throughout their academic and professional development. Drawing on a nationwide interview study of undergraduate atmospheric science students and faculty, I will discuss how future atmospheric scientists learn to communicate weather and climate information, the value placed on science communication skills, and the opportunities and barriers associated with communication training in undergraduate programs. I will also present emerging findings from a national mixed-methods study examining student persistence in undergraduate atmospheric science programs, including the roles of belonging, peer and faculty connections, and academic experiences in shaping students' decisions to remain in the field.

These questions of how future atmospheric scientists are prepared and supported extend beyond the classroom to a broader challenge facing atmospheric science: communicating weather and climate information in ways that are meaningful, actionable, and responsive to community needs. To explore this challenge, I will discuss preliminary findings from ongoing research examining how residents of Kerr County, Texas interpret flash flood warnings and emergency messages, what factors shape protective-action decisions, and how risk information can be better aligned with community needs. Collectively, these projects invite a broader discussion about the role of communication in atmospheric science, from preparing and supporting future professionals to helping communities interpret and respond to weather and climate information.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> 2026-10-22T11:00:00-04:00 2026-10-22T12:00:00-04:00 2026-10-22T12:00:00-04:00 2026-10-22 15:00:00 2026-10-22 16:00:00 2026-10-22 16:00:00 2026-10-22T11:00:00-04:00 2026-10-22T12:00:00-04:00 America/New_York America/New_York datetime 2026-10-22 11:00:00 2026-10-22 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> 680996 680996 image <![CDATA[Headshot Kopacz]]> image/jpeg 1787840672 2026-08-27 14:24:32 1787840672 2026-08-27 14:24:32 <![CDATA[]]> <![CDATA[EAS Seminar Series - Dr. Douglas Brinkerhoff]]> 36678 Machine-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—albeit 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—sometimes the most productive outcome is a re-examination of classical algorithms through the lens of modern ML architectures.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> tbuchanan9 1 1785928328 2026-08-05 11:12:08 1786457575 2026-08-11 14:12:55 0 0 event Machine-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—albeit 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—sometimes the most productive outcome is a re-examination of classical algorithms through the lens of modern ML architectures.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> 2026-12-03T11:00:00-05:00 2026-12-03T12:00:00-05:00 2026-12-03T12:00:00-05:00 2026-12-03 16:00:00 2026-12-03 17:00:00 2026-12-03 17:00:00 2026-12-03T11:00:00-05:00 2026-12-03T12:00:00-05:00 America/New_York America/New_York datetime 2026-12-03 11:00:00 2026-12-03 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> 680795 680795 image <![CDATA[Brinkerhoff.jpg]]> image/jpeg 1785938387 2026-08-05 13:59:47 1785938387 2026-08-05 13:59:47 <![CDATA[]]> <![CDATA[EAS Seminar Series - Dr. Uzonna Anyiam]]> 36678 Subsurface fluids govern many of the Earth's 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 CO₂ 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's 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 CO₂ 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's subsurface is not only fundamental to geoscience; it is increasingly essential for meeting the world's future energy, environmental, and climate goals.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> tbuchanan9 1 1786037420 2026-08-06 17:30:20 1786038115 2026-08-06 17:41:55 0 0 event Subsurface fluids govern many of the Earth's 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 CO₂ 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's 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 CO₂ 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's subsurface is not only fundamental to geoscience; it is increasingly essential for meeting the world's future energy, environmental, and climate goals.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> 2026-10-29T11:00:00-04:00 2026-10-29T12:00:00-04:00 2026-10-29T12:00:00-04:00 2026-10-29 15:00:00 2026-10-29 16:00:00 2026-10-29 16:00:00 2026-10-29T11:00:00-04:00 2026-10-29T12:00:00-04:00 America/New_York America/New_York datetime 2026-10-29 11:00:00 2026-10-29 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> 680803 680803 image <![CDATA[Anyiam Headshot]]> image/png 1786038052 2026-08-06 17:40:52 1786038052 2026-08-06 17:40:52 <![CDATA[]]> <![CDATA[EAS Seminar Series - Dr. Jim Crawford]]> 36678 Air 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.

Air 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.

Despite 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’s 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.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> tbuchanan9 1 1785762663 2026-08-03 13:11:03 1785762914 2026-08-03 13:15:14 0 0 event Air 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.

Air 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.

Despite 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’s 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.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> 2026-11-05T11:00:00-05:00 2026-11-05T12:00:00-05:00 2026-11-05T12:00:00-05:00 2026-11-05 16:00:00 2026-11-05 17:00:00 2026-11-05 17:00:00 2026-11-05T11:00:00-05:00 2026-11-05T12:00:00-05:00 America/New_York America/New_York datetime 2026-11-05 11:00:00 2026-11-05 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> 680750 680750 image <![CDATA[Crawford Headshot]]> image/jpeg 1785762825 2026-08-03 13:13:45 1785762825 2026-08-03 13:13:45 <![CDATA[]]> <![CDATA[EAS Seminar Series - Dr. Guillaume Liniger]]> 36678 The Southern Ocean plays an outsized role in Earth's 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.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> tbuchanan9 1 1785505922 2026-07-31 13:52:02 1785506130 2026-07-31 13:55:30 0 0 event The Southern Ocean plays an outsized role in Earth's 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.

*Refreshments: 12-12:30 PM, ES&T Atrium

]]> 2026-10-15T11:00:00-04:00 2026-10-15T12:00:00-04:00 2026-10-15T12:00:00-04:00 2026-10-15 15:00:00 2026-10-15 16:00:00 2026-10-15 16:00:00 2026-10-15T11:00:00-04:00 2026-10-15T12:00:00-04:00 America/New_York America/New_York datetime 2026-10-15 11:00:00 2026-10-15 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> 680735 680735 image <![CDATA[Liniger Headshot]]> image/jpeg 1785506017 2026-07-31 13:53:37 1785506017 2026-07-31 13:53:37 <![CDATA[]]>