Travis O'Brien

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Assistant Professor

Indiana State University

United States

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Travis O'Brien is an Assistant Professor at Indiana University, located in the United States. His research primarily focuses on atmospheric rivers, extreme precipitation events, and the influence of climate modeling on meteorological phenomena. Recent publications include studies on the variability of atmospheric river seasonality and their impact on precipitation extremes, as well as advancements in detection algorithms and modeling techniques for extreme weather events.

Recent Grants

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Calibrated and Systematic Characterization Attribution and Detection of Extremes Scientific Focus Area

Open Date: 2013-10-01

Close Date: 2017-09-01

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Collaborators (12)

Kimberley Reid

University of Melbourne

AUSTRALIA

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Ben Kravitz

Assistant Professor

Indiana State University

UNITED STATES

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Todd Lane

Professor

University of Melbourne

AUSTRALIA

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June-Yi Lee

Pusan National University

SOUTH KOREA

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William Collins

University of California

UNITED STATES

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Likun Zhang

Assistant Professor

University of Missouri

UNITED STATES

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Ryan O'Loughlin

Assistant Professor (tenure track)

Queens College, City University of New York

UNITED STATES

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Ramalingam Saravanan

Professor

Texas A&M University

UNITED STATES

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Kwesi Akumenyi Quagraine

University Corporation for Atmospheric Research

UNITED STATES

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William R. Boos

UNITED STATES

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Huanping Huang

Assistant Professor

Louisiana State University

UNITED STATES

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Paul Ullrich

tahoe environmental research center university of california davis california usa

UNITED STATES

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Travis O'Brien

Research Interests

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About

Recent Grants

Articles (25)

Co‐Occurring Atmospheric Features and Their Contributions to Precipitation Extremes

Future Intensity‐Duration‐Frequency Curves of Extreme Precipitation in the Midwest United States From Convection‐Permitting Modeling

Assessing changes in atmospheric rivers under stratospheric aerosol injection using ARISE-SAI-1.5

Atmospheric River Detection Under Changing Seasonality and Mean-State Climate: ARTMIP Tier 2 Paleoclimate Experiments

Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators

Regional and Temporal Variability of Atmospheric River Seasonality: Influences of Detection Algorithms and Moisture Transport Dynamics

Similarities in Meteorological Composites Among Different Atmospheric River Detection Tools During Landfall Over Western Coastal North America

A new metrics framework for quantifying and intercomparing atmospheric rivers in observations, reanalyses, and climate models

Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling

Scalable Feature Extraction and Tracking (SCAFET): a general framework for feature extraction from large climate data sets

How Do Climate Model Resolution and Atmospheric Moisture Affect the Simulation of Unprecedented Extreme Events Like the 2021 Western North American Heat Wave?

Identifying atmospheric rivers and their poleward latent heat transport with generalizable neural networks: ARCNNv1

Atmospheric Rivers in the Eastern and Midwestern United States Associated With Baroclinic Waves

A convection‐permitting dynamically downscaled dataset over the Midwestern United States

Observed increase in the peak rain rates of monsoon depressions

Future Atmospheric Rivers and Impacts on Precipitation: Overview of the ARTMIP Tier 2 High‐Resolution Global Warming Experiment

Anthropogenic Contributions to the 2021 Pacific Northwest Heatwave

Characteristics and Variability of Winter Northern Pacific Atmospheric River Flavors

Sign of Observed California Temperature Trends Depends on Data Set Homogenization: Implications for Weighting and Downscaling

Increases in Future AR Count and Size: Overview of the ARTMIP Tier 2 CMIP5/6 Experiment

A framework for detection and attribution of regional precipitation change: Application to the United States historical record

Extreme Water Vapor Transport During the March 2021 Sydney Floods in the Context of Climate Projections

Constraining and Characterizing the Size of Atmospheric Rivers: A Perspective Independent From the Detection Algorithm

Uncertainties in Atmospheric River Lifecycles by Detection Algorithms: Climatology and Variability

Detection of atmospheric rivers with inline uncertainty quantification: TECA-BARD v1.0.1

Collaborators (12)

Kimberley Reid

Ben Kravitz

Todd Lane

June-Yi Lee

William Collins

Likun Zhang

Ryan O'Loughlin

Ramalingam Saravanan

Kwesi Akumenyi Quagraine

William R. Boos

Huanping Huang

Paul Ullrich

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