
Member Since 2020
Sarah Esenther
PhD Candidate, Brown University
AGU Research
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Machine learning empowers remote sensing of ice shelf supraglacial stream networks
MACHINE LEARNING AND GENERATIVE AI FOR HYDROLOGIC AND RIVER MODELING I POSTER
hydrology | 13 december 2024
Sarah Esenther, Mason Lee, Alexandra Boghosian, Co...
Ice shelves can be critical for buttressing dynamic ice losses from the Antarctic and Greenland ice sheets and many have abundant surface meltwater fe...
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In Situ Validation of Regional Climate Model Runoff over Two Watersheds in Northwest Greenland
ADVANCES IN GLACIER AND ICE SHEET HYDROLOGY II POSTER
cryosphere | 12 december 2024
Sarah Esenther, Laurence C. Smith, Adam L. LeWinte...
Meltwater runoff from the Greenland Ice Sheet is a major contributor to global sea level rise. Regional climate/surface mass balance (RC/SMB) models a...
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Competition Between Ice Sheet and Mountain Glacier Weathering Dictates Strength of Carbon Cycle Feedback
EARTH SURFACE PROCESSES AND THE GLOBAL CARBON CYCLE I POSTER
earth and planetary surface processes | 12 december 2024
Sebastian Muñoz, Laurence C. Smith, Gavin Piccione...
Rock weathering influences Earth's climate and can increase or decrease atmospheric CO2 depending on the dominance of sulfide oxidation paired with ca...
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Water Depths and Incision Rates in the Petermann Ice-Shelf River/Estuary Estimated from Corresponding Worldview-2/3 Imagery and ArcticDEM Data
ADVANCING OUR UNDERSTANDING OF ICE SHELF PROCESSES II POSTER
cryosphere | 09 december 2024
Michela Savignano, Alison F. Banwell, Sarah Esenth...
Ice shelves can play a key role in ice-sheet mass balance by buttressing outlet glacier flow, thereby reducing contributions to sea level rise. The st...
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Impact of Competing Processes of River Incision, Basal Melt, Tidal Loading, and Viscoelastic Flexure Rebound on Ice-Shelf Estuary Formation
PROCESSES AND ICE-OCEAN INTERACTIONS AT DYNAMIC ICE STREAM, ICE SHELF, AND MARINE-TERMINATING GLACIER MARGINS I POSTER
cryosphere | 09 december 2024
Alison F. Banwell, Emily Glazer, W R. Buck, Sarah ...
Ice-shelf surface rivers have the potential to evacuate supraglacial meltwater runoff to the ocean, thereby reducing the potential for ice-shelf pondi...
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High-Resolution Mapping of Supra-Glacier RiversUsing Dual U-Net Convolutional Neural Networks
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR THE CRYOSPHERE II ORAL
cryosphere | 09 december 2024
Mason Lee, Sarah Esenther
This paper presents a novel application of a dualU-Net architecture for high-resolution mapping of supra-glacialrivers across Greenland at an unpreced...
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High School and Undergraduate Student Volunteers as an Imperfect Solution to Machine Learning Geoscience Research Needs
PERSPECTIVES OF EARTH AND SPACE SCIENTISTS
09 february 2024
Sarah Esenther, Neiv Gupta, Chanatip Vongkitbuncha...
The machine learning revolution presents geoscientists with exciting new opportunities for research, but is constrained by the need for large, high...
Evaluation of Regional Climate Model Runoff over Two Watersheds in NW Greenland
ADVANCES IN GLACIER AND ICE SHEET HYDROLOGY I POSTER
cryosphere | 13 december 2023
Sarah Esenther, Laurence C. Smith, Adam L. LeWinte...
Meltwater runoff from the Greenland Ice Sheet is a preeminent contributor to global sea level rise. Mass loss from regional climate/surface mass balan...
View Abstract