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Serrapilheira (call to support early-stage scientists nº 8/2024)

The Grey Zone in Numerical Weather Prediction: how to properly represent atmospheric motion on the 1 to 10 km range of scales?

July 2025 - July 2030

Computer simulations of the atmosphere are the foundation of weather forecast and climate models. They work well for phenomena that cover large areas (such as cold fronts and hurricanes) and for very small-scale phenomena (the dispersion of pollutants within a 1 km radius, for example), but they encounter a barrier with intermediate-scale phenomena, between 1 and 10 km, known as the "grey zone". In this range, the models fail due to the chaotic behavior of the atmosphere, known as turbulence (the same kind felt by an airplane in the clouds, but which is also present near the ground). This project will investigate in depth the behavior of the atmosphere's "grey zone" using a suite of mathematical, statistical, and computational tools. The main objective is to increase the predictability of phenomena that occur on the 1 to 10 km scale.


Livia Freire, personal archive, 2025

Fapesp Young Investigator Grant (July 2019 - December 2024)

Streamwise velocity snapshot from unstable ABL simulation using (a) LES and (b) LES-ODT (from Freire 2022, Boundary-Layer Meteorol.)


In this project, we were interested in improving the representation of turbulence very close to the surface in a Large-Eddy Simulation (LES) of the Atmospheric Boundary Layer (ABL). Models typically have the lowest flow information at about one meter above ground, but many relevant processes happen below this height. We developed the LES-ODT tool, which uses the One-Dimensional Turbulence (ODT) model for a vertically refined representation of the flow near the wall (Freire & Chamecki 2021, Computers & Fluids; Freire 2022, Boundary-Layer Meteorol.).

Contact: Livia Souza Freire Grion

liviafreire@usp.br

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