Member Since 2022
Karan Jakhar
Research Assistant , Rice University
Professional Experience
Rice University
Research Assistant
2021 - Present
Education
Texas A&M University College Station
Masters
2020
Honors & Awards
Outstanding Student Presentation Award
Received December 2023
Presentation Title: Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges
Event: 2023 AGU Annual Meeting
Awarding Section: Nonlinear Geophysics
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Publications
Learning Closed‐Form Equations for Subgrid‐Scale Closures From High‐Fidelity Data: Promises and Chal...
There is growing interest in discovering interpretable, closed‐form equations for subgrid‐scale (SGS) closures/parameterizations of com...
July 02, 2024
AGU Abstracts
An Analytical and Data-discovered Accurate and Stable Subgrid-scale Closure for Geophysical Turbulence
DATA-DRIVEN SCIENCE: DEVELOPMENTS IN MACHINE LEARNING SUBGRID-SCALE PARAMETERIZATIONS AND IN REANALYSES ACROSS EARTH SYSTEM MODELING I ORAL
nonlinear geophysics | 12 december 2024
Karan Jakhar, Yifei Guan, Pedram Hassanzadeh
Subgrid-scale (SGS) closures (parameterizations) are essential for many processes in the climate systems. However, closures from first principles are ...
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Extreme Value Theory: A Suitable Tool for the Rarest Extreme Weather Events?
EXTREME VARIABILITY AND COMPLEXITY: BRIDGING MATHEMATICS, PHYSICS, AND INFORMATION TECHNOLOGIES FROM URBAN SYSTEMS TO CLIMATE, GEOPHYSICS, AND PANDEMICS II POSTER
nonlinear geophysics | 11 december 2024
Qingyuan Yang, Amaury Lancelin, Karan Jakhar, Anth...
Generalized Extreme Value (GEV) distribution is an ideal probabilistic model to study extreme weather and climate events. The difficulty in working wi...
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Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges
MACHINE LEARNING SUBGRID-SCALE PARAMETERIZATIONS FOR EARTH SYSTEM MODELING II POSTER
nonlinear geophysics | 14 december 2023
Karan Jakhar, Yifei Guan, Rambod Mojgani, Ashesh K...
There is growing interest in discovering interpretable, closed-form equations for subgrid-scale (SGS) closures/parameterizations of complex processes ...
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