Aurora
Aurora is our weekly newsletter aimed at faculty, staff, and students of the department.
Aurora is our weekly newsletter aimed at faculty, staff, and students of the department.
Thesis Title: How To Descend A Rocky Slope: Numerical Techniques For The Solution Of Noisy Optimization Problems
Date and Time: Monday, June 26th at 12:30pm
Location: Zoom
Speaker: Dr. Sebastien Donnet
Date and Time: June 21sr at 11:00am - 12:00pm
Location: Microsoft Teams meeting
Description: This seminar will review the physical environment of Fortune Bay, a mid-latitude and broad fjord located in Newfoundland, Canada. The results of 2-years of continuous observations as well as the analysis of historical records and numerical model simulations will be presented. Newly collected observations reveal the presence of coherent downwelling and upwelling signals, associated with vigorous alongshore currents, propagating cyclonically around the fjord. Along with the historical data, those observations also allow the determination of the seasonal climate of the water structure and some of its main forcing (wind, tides and freshwater runoff). The implementation of a fully non-linear, 3-dimensional, numerical model allows the identification of the main process responsible for those dominant signals as well as their origin and some of their propagation characteristics.
Speaker: Jonathan Izett
Date and Time: June 23, 2023 at 11:15am - 12:15pm, participants can join starting 11:00am
Location: online or in person in the IOS Auditorium
Description: The talk will focus primarily on an overview of efforts to find an alternative (simpler) method for assimilating biogeochemical observations into ocean models. Traditional four-dimensional variational data assimilation includes the technical challenge of constructing tangent linear (TLM) and adjoint (ADJ) models corresponding to the non-linear BGC model. This hurdle can be time-consuming, particularly for non-linear BGC models experiencing active development, with regular updates to functional types or representation of key BGC processes. We evaluated two alternate approaches that greatly simplify TLM and ADJ construction and eliminate the need for code updates when the underlying, non-linear BGC model changes. One form of model-reduced data assimilation represents BGC interactions as a linear combination of orthogonal modes, while the second approach treats BGC variables as passive tracers within the data assimilation system. An evaluation of the methods will be presented in the context of a simple nutrient-phytoplankton-zooplankton-detritus (NPZD) BGC model implemented in the Regional Ocean Modelling System (ROMS) for the U.S. west coast. Jonathan will also share a brief overview of the work he is doing at IOS as part of the team developing a coupled physical-biogeochemical model of Vancouver Island’s west coast.