Ramalingam Saravanan

Professor

Texas A&M University

United States

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Ramalingam Saravanan is a Professor at Texas A&M University in the United States. His research focuses on climate modeling, particularly in relation to extreme weather events, precipitation prediction, and the impact of atmospheric conditions on energy futures. He has contributed to recent studies on droughts in renewable energy, tropical rainfall prediction using machine learning, and the dynamics of atmospheric rivers.

Articles (11)

Year:

2024

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2024

Year:

2024

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2022

Year:

2022

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2021

Year:

2021

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2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (6)

Jiayi Wang

Assistant professor

University of Texas at Dallas

UNITED STATES

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Raymond K. W. Wong

UNITED STATES

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Xue Liu

Texas A&M University

UNITED STATES

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Travis O'Brien

Assistant Professor

Indiana State University

UNITED STATES

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Abishek Gopal

ETH Zurich

SWITZERLAND

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Shaoqing Zhang

UNITED STATES

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Ramalingam Saravanan

Research Interests

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Articles (11)

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

Droughts in Wind and Solar Power: Assessing Climate Model Simulations for a Net-Zero Energy Future

Prediction of Tropical Pacific Rain Rates with Overparameterized Neural Networks

Improved Simulations of Atmospheric River Climatology and Variability in High‐Resolution CESM

Improved Simulations of Atmospheric River Climatology and Variability in High-Resolution CESM

Central American mountains inhibit eastern North Pacific seasonal tropical cyclone activity

Ocean fronts and eddies force atmospheric rivers and heavy precipitation in western North America

Statistical and machine learning methods applied to the prediction of different tropical rainfall types

Statistical and machine learning methods applied to the prediction of different tropical rainfall types

Evaluation of a Coupled Modeling Approach for the Investigation of the Effects of SST Mesoscale Variability on the Atmosphere

An Unprecedented Set of High‐Resolution Earth System Simulations for Understanding Multiscale Interactions in Climate Variability and Change

Collaborators (6)

Jiayi Wang

Raymond K. W. Wong

Xue Liu

Travis O'Brien

Abishek Gopal

Shaoqing Zhang

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