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Sea Surface Salinity Provides Subseasonal Predictability for Forecasts of Opportunity of U.S. Summertime Precipitation
JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES
17 march 2025
Marybeth Arcodia, Elizabeth A. Barnes, Paul J. Dur...
Global water cycling plays a fundamental role in the climate system, with the majority of terrestrial water ultimately sourced from the ocean. As o...
Convolutional Neural Networks Trained on Internal Variability Predict Forced Response of TOA Radiation by Learning the Pattern Effect
GEOPHYSICAL RESEARCH LETTERS
18 february 2025
Maria Rugenstein, Senne Van Loon, Elizabeth A. Bar...
Predicting forced, long‐term radiative feedbacks from internal climate variability has been a decades‐long quest in climate science. We...
Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders
GEOPHYSICAL RESEARCH LETTERS
14 february 2025
Andrew E. Brettin, Laure Zanna, Elizabeth A. Barne...
Due to the wide range of processes impacting the sea surface height (SSH) on daily‐to‐interannual timescales, SSH forecasts are hampere...
Sea Surface Salinity Provides Subseasonal Predictability for Forecasts of Opportunity of U.S. Summertime Precipitation
THE GLOBAL WATER CYCLE: COUPLING AND EXCHANGES OF MASS AND ENERGY BETWEEN THE OCEAN, LAND, CRYOSPHERE, AND ATMOSPHERE II ORAL
global environmental change | 13 december 2024
Marybeth Arcodia, Elizabeth A. Barnes, Paul J. Dur...
As oceanic moisture evaporates, it leaves a sea surface salinity signature. Roughly 10% of the moisture that evaporates over the ocean is transported ...
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Using Explainable AI to Inform Climate Model Simulations: A Potential Southern Hemisphere SST Influence on Southwestern U.S. Precipitation
AI-DRIVEN INNOVATIONS IN EARTH AND CLIMATE SCIENCES IV ELIGHTNING
atmospheric sciences | 13 december 2024
Marc Alessi, Charlotte Connolly, Elizabeth A. Barn...
The mechanisms that control Southwest U.S. (SWUS) precipitation are still highly debated, especially under anthropogenic climate change. While sea sur...
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Observed radiative forcing diagnosed with a convolutional neural network and minimal use of climate models
CLIMATE SENSITIVITY AND FEEDBACKS: ADVANCES AND NEW PARADIGMS II POSTER
atmospheric sciences | 12 december 2024
Senne Van Loon, Maria Rugenstein, Elizabeth A. Bar...
Evaluating the exact rate of radiative forcing is challenging, because it can not be directly observed. Therefore, estimating the forcing usually reli...
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A Storyline Approach to Explore Impacts of Regional No-Return Temperature Thresholds Using Transfer Learning and Uncertainty Quantification of Explainable Neural Network Predictions
AI-DRIVEN INNOVATIONS IN EARTH AND CLIMATE SCIENCES I ORAL
atmospheric sciences | 12 december 2024
Marybeth Arcodia, Elizabeth A. Barnes
Disparities in both the magnitude and rate of warming throughout the globe has led to uncertainties in the timing of crossing critical heat thresholds...
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A Machine Learning Approach for Quantifying Human Influence on Ecosystems Around the World
ADVANCES IN REMOTE SENSING FOR MONITORING BIODIVERSITY CHANGE: INTEGRATING DATA AND MODELS ACROSS SCALES AND TECHNOLOGIES VI POSTER
biogeosciences | 12 december 2024
Bryam Orihuela-Pinto, Patrick Keys, Elizabeth A. B...
The increasing global human footprint has raised significant interest in understanding its impact on diverse geographical regions. This study presents...
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