Talks

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Mathematical modeling of Climate, Ocean, and Atmosphere processes
Monday, 26 June 2023
Time Speaker Title Resources
10:25 to 10:30 Rama Govindarajan (ICTS-TIFR, India) Welcome remarks
10:30 to 11:15 Jim Thomas (ICTS-TIFR, India) Basics of geophysical fluid dynamics

TBA
 
11:45 to 12:30 Manikandan Mathur (IIT Madras, India) Internal Gravity Waves

A summary of the physics of internal gravity waves, how they manifest in the ocean and atmosphere, and what are the relevant questions to address?
 
13:30 to 14:15 Kannabiran Seshasayanan (IIT Kharagpur, India) Turbulence in Geophysical Fluid Dynamics

The aim of this lecture is to introduce students to turbulence and its role in the Geophysical fluid dynamics.
 
14:45 to 15:30 Vishal Dixit (IIT Bombay, India) Basics of Clouds and Convection
   
16:00 to 16:45 Anand Gnanadesikan (Johns Hopkins University, USA) Turbulence and mixing. Why diffusion seems easy... but isn't. Roles of stratification and rotation and cascades. Why we care. (Remote talk)

Open problems- parameterization, scale-dependent mixing, intermittency, fronts as barriers or blenders, overflows. (If this has too much overlap with what others are doing I can focus on angular momentum and ocean circulation).
   
Tuesday, 27 June 2023
Time Speaker Title Resources
10:30 to 11:15 Vishal Dixit (IIT Bombay, India) Simple Models of Monsoon variability
   
11:45 to 12:30 Suvarna Fadnavis (Indian Institute of Tropical Meteorology, Pune, India) Possible Influences of External Factors on the Indian Summer Monsoon (Remote talk)
   
13:30 to 14:15 Ashwin Seshadri (IISc, India) Simple mathematical models for climate dynamics
   
14:45 to 15:30 Aman Gupta (Stanford University, USA) Machine Learning Methods for Climate Science
   
16:00 to 16:45 Anand Gnanadesikan (Johns Hopkins University, USA) Global overturning circulation. How we know about the large-scale structure of the ocean from tracers. Why it matters. (Remote talk)

Density transformation as a way of thinking about the overturning. Role of turbulence and mixing. Reduced models of the overturning as dynamical systems.
   
Wednesday, 28 June 2023
Time Speaker Title Resources
10:30 to 11:15 Bishakhdatta Gayen (IISc, India) Small scale oceanographic processes
 
11:45 to 12:30 Angshuman Modak (IIT Bombay, India) Components of climate systems and the concept of climate change
   
13:30 to 14:15 Nairita Pal (IIT Kharagpur, India) Basics of Ocean Climate Models

The purpose of this talk is to give an overview of the physical and numerical foundations of computer models used to predict global ocean circulation. The presentation is geared towards students in ocean and climate science who aim to understand the various processes present in ocean models and the typical investigation methods used by ocean modelers.
 
14:45 to 15:30 Aman Gupta (Stanford University, USA) Machine Learning Methods for Climate Science
   
16:00 to 16:45 Anand Gnanadesikan (Johns Hopkins University, USA) Coupled climate variability. Bjerknes feedbacks and El Nino. Delay oscillator, recharge-discharge oscillator models.(Remote talk)

Difficulty of constraining models from short data sets.
   
Thursday, 29 June 2023
Time Speaker Title Resources
10:30 to 11:15 Bishakhdatta Gayen (IISc, India) Small scale oceanographic processes
 
11:45 to 12:30 Angshuman Modak (IIT Bombay, India) Developing and using climate models
 
13:30 to 14:15 Aman Gupta (Stanford University, USA) Machine Learning Methods for Climate Science

 
   
14:45 to 15:30 - Poster Session
16:00 to 16:45 Anand Gnanadesikan (Johns Hopkins University, USA) Coupling physics and biology. Measuring biology from space. Constraints on oceanic biological cycling. (Remote talk)

Coupling between physics and biology. Oxygen minimum zones. New genomic measurements.
 
Friday, 30 June 2023
Time Speaker Title Resources
10:30 to 11:15 Manasa Behera (IIT Bombay, India) Assessment of Regional and Global Climate Models in Simulating Wind Speed

Global Climate Models (GCMs) and Regional Climate Models (RCMs) have been widely used in understanding the impact of climate change on wind-driven processes without explicit evaluation of their skill. This study is oriented towards assessing the skill of 28 GCMs and 16 RCMs, and more importantly to assess the ability of RCMs relative to parent GCMs in simulating near surface wind speed (WS) in diverse climate variable scales (daily, monthly, seasonal and annual) over the ocean and land region of the South Asian (SA) domain (11 S–30 N and 26 E–107 E). Our results reveal that the climate models’ competence varies among climate variable scales and regions. However, after rigorous examination of all climate models’ skill, it is recommended to use the mean ensemble of MPI-ESM-MR, CSIRO-Mk3.6.0 and GFDL-ESM2G GCMs for understanding future changes in wave climate, coastal sediment transport and offshore wind energy potential, and REMO2009 RCM driven by MPI-M-MPI-ESM-LR for future onshore wind energy potential assessment and air pollution modelling. All parent GCMs outperform the RCMs (except CCCma-CanESM2(RCA4)) over the ocean. In contrast, most RCMs show significant added value over the land region of the SA domain. Further, it is strongly discouraged to use the RCM WS simulations in modelling wind-driven processes based on their parent GCM’s skill over the ocean.
   
11:45 to 12:30 Ashwin Seshadri (IISc, India) Global warming and climate policies

 
   
13:30 to 14:15 Aman Gupta (Stanford University, USA) Machine Learning Methods for Climate Science

 
   
14:45 to 15:30 - Final Discussion
16:00 to 16:45 - Poster Session