Events
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DeFord Lecture: Melissa Kemp
Start:January 21, 2021 at 4:00 pm
End:
January 21, 2021 at 5:00 pm
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Biodiversity in the Anthropocene: a paleobiological perspective
About Dr. Melissa Kemp (UT Austin)
Impact of Sea level change and colonization on Caribbean lizards; how extinction, diversification, and colonization are shaped by environmental perturbations; integration of macroevolutionary theory with paleobiology, ecology, and conservation biology by combining field, laboratory, and quantitative methods.
DeFord Lecture Series
Since the 1940’s, the DeFord (Technical Sessions) lecture series, initially the official venue for disseminating EPS graduate student research, is a forum for lectures by distinguished visitors and members of our community. This is made possible through a series of endowments.
UTIG Seminar Series: William Frank, MIT
Start:January 22, 2021 at 10:30 am
End:
January 22, 2021 at 11:30 am
Contact:
Constantino Panagopulos, costa@ig.utexas.edu, 512-574-7376
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Speaker: William Frank, Massachusetts Institute of Technology
Host: Demian Saffer
Title: The transient and intermittent nature of slow slip
Abstract: Slow, aseismic slip (such as slow slip and surface creep) is now recognized as the glue at tectonic plate boundaries that holds the earthquake cycle together. Since the first observations of surface creep along the San Andreas plate boundary more than 50 years ago, advances in geophysical instrumentation and innovative observational approaches have revealed that faulting at major plate boundaries covers a broad spectrum of slip modes, from fast earthquake ruptures to intermittent slow slip.
Today, the continuous GPS record and satellite imagery reveal the jerky, intermittent nature of aseismic slip. The pattern that is emerging suggests that slow slip at plate boundaries and surface creep on major transform faults is not a steady, continuous process as once thought, but is rather a complex spatiotemporal cluster of interacting aseismic transients. Aseismic slip rate variations have now been observed at all temporal scales, from seconds to decades. These new observations suggest slow slip is much more similar to earthquake slip than previously acknowledged, with strong implications on our understanding of the dynamics of active faults. These new observations call for new families of models with much broader dynamics that are able to reproduce the observed rich spectrum of slow slip.
Habitability Seminar: Eric Anslyn, University of Texas at Austin
Start:January 25, 2021 at 1:00 pm
End:
January 25, 2021 at 2:00 pm
Location:
Zoom Meeting
Contact:
David Goldstein, david@oden.utexas.edu
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A seminar from the Center for Planetary Systems Habitability
Title: Information Storage in Abiotic Sequence-Defined Polymers – Their Potential for Replication and in Seeking Molecular Complexity
DeFord Lecture: Jennifer McIntosh
Start:January 28, 2021 at 4:00 pm
End:
January 28, 2021 at 5:00 pm
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Evolution of Earth’s Deep Terrestrial Water Cycle over Geological Timescales
About Dr. Jennifer McIntosh (University of Arizona)
Hydrogeochemist who works at the interface of hydrology, geochemistry, and microbiology to understand micro (pore) to macro (continental scale) processes throughout the earth’s crust. Regional hydrogeologic phenomena and geofluids. Reactive transport.
DeFord Lecture Series
Since the 1940’s, the DeFord (Technical Sessions) lecture series, initially the official venue for disseminating EPS graduate student research, is a forum for lectures by distinguished visitors and members of our community. This is made possible through a series of endowments.
UTIG Seminar Series: Emily Eidam, UNC at Chapel Hill
Start:January 29, 2021 at 10:30 am
End:
January 29, 2021 at 11:30 am
Contact:
Constantino Panagopulos, costa@ig.utexas.edu, 512-574-7376
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Speaker: Emily Eidam, University of North Carolina at Chapel Hill
Host: John Goff
Title: Changes in hydrodynamics and sediment dynamics of the Coos Bay Estuary related to 150 years of modifications
Abstract: Estuaries worldwide have experienced modifications including channel deepening and intertidal reclamation over several centuries, resulting in altered hydrodynamics and fine sediment routing. The Coos Bay Estuary in Oregon, the largest west-coast estuary between San Francisco Bay and the Columbia River mouth, has been extensively modified since the 1860s. We used a coupled hydrodynamic and sediment transport model to evaluate changes in estuarine dynamics between 1865 (using a grid based on digitized historic survey charts) and present (using a compilation of new high-resolution bathymetry data). Dredging and other development projects have led to an increase in channel depth from ~6.7 to 11 m, a 12% increase in area, and a 21% increase in volume. These changes are associated with a 33% increase in tidal amplitude, an 18% increase in salinity intrusion length, and a doubling of the subtidal salt flux. These changes have reduced current magnitudes, reduced bed stresses, and increased stratification, especially during rainy periods. River water and sediment effluent from the Coos River have been re-routed from broad intertidal flats to a dredged navigation channel, where an estuarine turbidity maximum (ETM) forms. This “new” ETM supplies sediment to proximal embayments in the middle estuary and the shallow flats. Overall, sediment trapping during winter (and high river discharges) has increased more than two-fold, owing to increased accommodation space, altered pathways of supply, and altered bed stresses and tidal asymmetries. In contrast to funnel-shaped estuaries with simpler geometries and river-channel transitions, these results highlight the importance of channel routing and dredging to sediment routing and retention.
HydroML 2026 SymposiumMay, 19 2026Time: 12:00 AM - 12:00 AMLocation: POB 2.302 The HydroML 2026 symposium will explore how AI/ML concepts can be used to enhance the predictive understanding of complex systems in hydrological and geological sciences. The overarching goal is to discuss process-based scientific principles that can help integrate AI/ML with earth system science. In essence, the symposium seeks to stimulate discussions that will help develop physically guided AI/ML approaches which are explainable, interpretable, and improve the mechanistic understanding of earth system science. It will foster collaborations among researchers who are both new to the field and already involved, thereby strengthening ties within the community of AI/ML researchers. |
Environmental Science Institute’s Community-Based Research SymposiumMay, 19 2026Time: 12:00 AM - 12:00 AMLocation: WCP 2.302 Community-based research is essential for understanding and addressing challenges that reflect real community needs. For example, rapid urban growth and increasing weather extremes are already straining communities, and these pressures are expected to intensify in the years ahead. This in-person symposium will bring together university researchers and students, community organizations and members, government entities, industry representatives, and other interested stakeholders to explore the opportunities and benefits of Community-based research in Texas and beyond. |
Urban Climate LectureMay, 22 2026Time: 12:00 PM - 1:30 AMLocation: Barrow Conference Room (JGB 4.102) Capturing Spatial Variability of Urban Microclimate in Process-Based and Machine Learning Models by Dr. Tirthankar \"TC\" Chakraborty, Earth Scientist at the Pacific Northwest National Laboratory (PNNL) Abstract: Cities modify their local microclimate via process-level changes and through alterations in bulk radiative, morphological, and thermal properties. Cities are also highly heterogeneous, leading to spatial variability in environmental hazards, with potential disparities in climate risks for different urban residents. While significant efforts have been made to improve urban representation in models to isolate broader urban climate signals, current models often struggle to resolve intra-urban variability due to poor structural and parameter constraints at the neighborhood scale. In this seminar, I will provide an overview of this urban spatial variability and its importance, our current limitations in capturing this variability, and potential ways forward by leveraging current-generation fine-grained satellite observations. Specifically, I will highlight our past and ongoing research involving both process-based numerical modeling and machine learning approaches to capture the spatial distribution of urban heat hazards. The lessons learned from these studies can guide future urban model development efforts to enable more accurate neighborhood-scale climate mitigation and adaptation strategies. |
