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Rex Britter

Researcher at Massachusetts Institute of Technology

Publications -  232
Citations -  11655

Rex Britter is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Turbulence & Dispersion (optics). The author has an hindex of 57, co-authored 232 publications receiving 10526 citations. Previous affiliations of Rex Britter include North Carolina State University & Singapore–MIT alliance.

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The effects of stable stratification on turbulent diffusion and the decay of grid turbulence

TL;DR: In this article, a grid is towed horizontally along a large tank filled first with water and then with a stably stratified saline solution, and turbulent velocity components perpendicular to the mean motion are measured by a Taylor diffusion probe and are found to be unaffected by the stable stratification over distances measured from 5 to 47 mesh lengths (M) downstream, and over a range of Froude number U/NM of ∞ and 8·5 to 0·5, U being the velocity and N the buoyancy frequency.
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Quality assurance and improvement of micro-scale meteorological models

TL;DR: In this article, the authors report on a European initiative (COST 732) which was launched 2005 with the purpose of establishing a generally accepted procedure for the improvement and quality assurance of micro-scale meteorological models that are applied for predicting flow and transport processes in urban or industrial environments.
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Combining a Detailed Building Energy Model with a Physically-Based Urban Canopy Model

TL;DR: In this article, a scheme that couples a detailed building energy model, EnergyPlus, and an urban canopy model, the Town Energy Balance (TEB), is presented, which allows a broader analysis of the two-way interactions between the energy performance of buildings and the urban climate around the buildings.
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Predicting vehicular emissions in high spatial resolution using pervasively measured transportation data and microscopic emissions model

TL;DR: In this paper, a taxi fleet of over 15,000 vehicles was analyzed with the aim of predicting air pollution emissions for Singapore, and the results showed that highly localized areas of elevated emissions levels were identified, with a spatio-temporal precision not possible with previously used methods for estimating emissions.
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A numerical study of the flow field and exchange processes within a canopy of urban-type roughness

TL;DR: In this article, the authors used seven-equation Reynolds stress turbulence modelling (RSM) with a high-resolution mesh to estimate the exchange velocities at the top of a canopy.