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High Resolution Flux Estimation with TurbulenceFlux.jl

The Julia Programming Language via YouTube

Overview

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Explore a new approach to high-resolution flux estimation using TurbulenceFlux.jl in this JuliaCon 2024 conference talk. Delve into the challenges of flux estimation from eddy-covariance flux tower measurements, including the limitations of standard methods in non-stationary environments. Learn about the advantages of time-scale analyses, particularly wavelet analysis, for studying non-stationary and scale-invariant processes like turbulence. Discover how TurbulenceFlux.jl implements a general framework for analyzing fluxes in time-scale space and introduces a novel method for identifying and extracting turbulent transport. Gain insights into the benefits of using Julia for this implementation, including matching the speed of Fortran-based standard approaches and enabling code differentiability. Consider potential future applications, such as studying flux ecosystem response times and conducting sensitivity analyses against wavelet and averaging window parameters.

Syllabus

High Resolution Flux Estimation with TurbulenceFlux.jl | Destouet | JuliaCon 2024

Taught by

The Julia Programming Language

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