Monday, 26 June 2023
TBA
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?
The aim of this lecture is to introduce students to turbulence and its role in the Geophysical fluid dynamics.
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
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
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.
Difficulty of constraining models from short data sets.
Thursday, 29 June 2023
Coupling between physics and biology. Oxygen minimum zones. New genomic measurements.
Friday, 30 June 2023
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.