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Proceedings Paper

Threshold wind speed and turbulence under LLJs events at Ipero, Brazil
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Paper Abstract

The threshold wind speed is a useful criterion in determining whether strong turbulence is generated within the Stable Boundary Layer (SBL), the layer where all surface emissions remain confined during the night. Confidence turbulence estimates are extremely important for atmospheric transport and dispersion simulations, although due to its complex dinamics many aspects of the SBL are neglected by numerical models that, in turn, are the inputs and boundary conditions for the transport and dispersion simulations. Turbulence is especially important during severe episodies like hazardous material accidental releases, for example. Turbulence intensity can affect the dispersion speed, released material concentration, and its reach. For many decades, remote sensing has been an important tool in filling the gap of information and providing advances in the atmospheric sciences. The doppler lidar is increasingly being used for micrometeoroly and Planetary Boundary Layer (PBL) studies because of its autonomy and long range capability, in contrast with traditional techniques as radioprobes and captive balloons. After 1 year of continuous measurements with a doppler lidar, it was possible to determine the threshold wind speed for Ipero, Sao Paulo, Brazil. Besides threshold wind speed, it was observed that the SBL turbulence has a straight relationship with the Low-Level Jets (LLJs) that frequently occur over the region. The vertical turbulence distribution depends greatly on the LLJ characteristics, which in turn is highly variable during its life cycle. The strong turbulence regime is associated to the stronger LLJs, that presents a more defined pattern. In contrast, weak LLJs (that generate weaker SBL turbulence) present more dispersive characteristics in respect to the entire dataset. These differences are seen both for the LLJ height as for the turbulence vertical profile. These results will contribute for the atmospheric modeling and dispersion simulations, as well for the environmental studies at Ipero.

Paper Details

Date Published: 9 October 2019
PDF: 10 pages
Proc. SPIE 11152, Remote Sensing of Clouds and the Atmosphere XXIV, 1115212 (9 October 2019); doi: 10.1117/12.2532281
Show Author Affiliations
Cássia M. L. Beu, Ctr. Tecnológico da Marinha em São Paulo (Brazil)
Instituto de Pesquisas Energéticas e Nucleares (Brazil)
Eduardo Landulfo, Instituto de Pesquisas Energéticas e Nucleares (Brazil)

Published in SPIE Proceedings Vol. 11152:
Remote Sensing of Clouds and the Atmosphere XXIV
Adolfo Comerón; Evgueni I. Kassianov; Klaus Schäfer; Richard H. Picard; Konradin Weber; Upendra N. Singh, Editor(s)

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