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Marybeth Arcodia

Assistant Professor

University of Miami

United States

Research Interests

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Professors in United States

Articles (12)

Year:

2026

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2024

Year:

2023

Year:

2023

Year:

2023

Collaborators (9)

Elizabeth A. Barnes

Professor

Boston University

UNITED STATES

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Diana Moanga

Lecturer

Stanford University

UNITED STATES

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Laís Gonçalves Fernandes

Researcher Scholar

Portland State University

UNITED STATES

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Min-Seop Ahn

National Aeronautics and Space Administration (NASA)

UNITED STATES

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Maria Molina

Project Scientist II

University of Maryland

UNITED STATES

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Patrick Keys

Assistant Professor

Boston University

UNITED STATES

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Imme Ebert-Uphoff

Machine Learning Lead

Colorado State University

UNITED STATES

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Dillon Amaya

Assistant Professor

North Carolina State University

UNITED STATES

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Jason Furtado

Associate Professor

University of Oklahoma

UNITED STATES

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Marybeth Arcodia

Research Interests

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Articles (12)

The Critical Need for Hindcast Infrastructure in Climate Science and Sectoral Applications

Turning up the Heat: Assessing 2‐m Temperature Forecast Errors in Artificial Intelligence Weather Prediction Models During Heat Waves

Identifying the Timing of Regional Summertime Minimum Temperature Threshold Crossings and the Potential Subsequent Climate Evolutions

Earth System Predictability across Time Scales for a Resilient Society: A Research Community Perspective

Machine learning for subseasonal-to-seasonal prediction

An explainable machine learning prediction system for early warning of heat stress on Florida’s Coral Reef

Sea Surface Salinity Provides Subseasonal Predictability for Forecasts of Opportunity of U.S. Summertime Precipitation

Ocean–atmosphere interactions: Madden–Julian Oscillation and El Niño–Southern Oscillation

Subseasonal Variability of U.S. Coastal Sea Level from MJO and ENSO Teleconnection Interference

Hyperlocal Observations Reveal Persistent Extreme Urban Heat in Southeast Florida

Assessing decadal variability of subseasonal forecasts of opportunity using explainable AI

Using simplified linear and nonlinear models to assess ENSO-modulated MJO teleconnections

Collaborators (9)

Elizabeth A. Barnes

Diana Moanga

Laís Gonçalves Fernandes

Min-Seop Ahn

Maria Molina

Patrick Keys

Imme Ebert-Uphoff

Dillon Amaya

Jason Furtado

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