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Mathematical Modeling of Climate, Ocean, and Atmosphere Processes (2023)

International Centre for Theoretical Sciences via YouTube

Overview

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Explore comprehensive mathematical modeling approaches for understanding climate, ocean, and atmospheric processes through this extensive lecture series from the International Centre for Theoretical Sciences. Delve into turbulence in geophysical fluid dynamics, examining how chaotic fluid motions affect large-scale environmental systems. Master the fundamentals of geophysical fluid dynamics and their applications in ocean engineering, while investigating the role of convection and turbulence in ocean circulation modeling. Analyze simple models of monsoon variability and climate change, including external factors influencing the Indian Summer Monsoon and high-latitude climate variability. Learn about large-scale ocean circulation patterns, deep convection, overturning processes, and their connections to global climate systems. Discover machine learning methods specifically designed for climate science applications across multiple detailed sessions. Examine the basics of ocean climate models, cloud formation, and convection processes that drive weather patterns. Investigate internal gravity waves in ocean systems and their impact on circulation. Study global warming mechanisms, climate policies, energy balance concepts, and the inconstant nature of climate feedback and sensitivity. Explore the critical role of convection and turbulence in polar ice-shelf melting processes and interannual climate variability patterns that affect global weather systems.

Syllabus

Turbulence in Geophysical Fluid Dynamics by Kannabiran Seshasayanan
Simple Models of Monsoon Variability by Vishal Dixit
Possible Influences of External Factors on the Indian Summer Monsoon by Suvarna Fadnavis
Machine Learning Methods for Climate Science by Aman Gupta
The role of convection and turbulence in the ocean circulation and modelling by Bishakhdatta Gayen
Climate Change: Climate System, Energy Balance, Climate Models.... by Angshuman Modak
Basics of Ocean Climate Models by Nairita Pal
Machine Learning Methods for Climate Science (Lecture 3) by Aman Gupta
Global Warming and Climate Policies by Ashwin Seshadri
Machine Learning Methods for Climate Science (Lecture 4) by Aman Gupta
Large-Scale Ocean Circulation and Climate:High-latitude Climate Variability by Anand gnanadesikan
Basics of Clouds and Convection by Vishal Dixit
Large-Scale Ocean Circulation and Climate: Deep Convection and Overturning by Anand Gnanadesikan
Fluids Mechanics Fundamentals and Application in Ocean Engineering by Manasa Behera
Simple Models of Climate Variability and Change by Ashwin Sheshadri
Internal Gravity Waves (ocean) by Manikandan Mathur
Basics of Geophysical Fluid Dynamics by Jim Thomas
The Role of Convection and Turbulence in Meltingof Polar Ice-Shelves by Bishakhdatta Gayen
The Inconstant Nature of Climate Feedback & Climate Sensitivity by Angshuman Modak
Large-scale Ocean Circulation and Climate: Interannual Climate Variability by Anand Gnanadesikan
Machine Learning Methods for Climate Science (Lecture 2) by Aman Gupta
Large-Scale Ocean Circulation and Climate: High-Latitude Climate Variability by Anand Gnanadesikan

Taught by

International Centre for Theoretical Sciences

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