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Methods for Determining the Refractive Index Structure Parameter in the Marine Atmospheric Boundary Layer.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Methods for Determining the Refractive Index Structure Parameter in the Marine Atmospheric Boundary Layer./
Author:	Laughlin, Daniel.
Description:	1 online resource (71 pages)
Notes:	Source: Masters Abstracts International, Volume: 83-12.
Contained By:	Masters Abstracts International83-12.
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29208384click for full text (PQDT)
ISBN:	9798819384213

Methods for Determining the Refractive Index Structure Parameter in the Marine Atmospheric Boundary Layer.
Laughlin, Daniel.

Methods for Determining the Refractive Index Structure Parameter in the Marine Atmospheric Boundary Layer. - 1 online resource (71 pages)

Source: Masters Abstracts International, Volume: 83-12.

Thesis (M.S.)--University of New Hampshire, 2022.

Includes bibliographical references

An experimental study of the marine atmospheric boundary layer effects on the index of refraction was conducted off the coast of Portsmouth, NH between Battery Farnsworth and Wood Island. This study aimed to compare measured changes in the refractive index structure parameter (Cn2) to estimates using time series data of single point atmospheric variables, including temperature, pressure, and wind velocity. A scintillometer transmitter and receiver located at Battery Farnsworth and Wood Island, respectively, provided direct measurements of Cn2. Data from a weather tower containing a sonic anemometer was used to estimate Cn2.Three methods of analysis to estimate Cn2 from the time-series data from single point atmospheric variables were employed. The three methods were a two-point structure function method (most common method in practice owing to its simplicity), a spectral analysis method assuming Kolmogorov turbulence with r2/3 (k -5/3) scaling, and a spectral analysis not assuming Kolmogorov scaling. Here r (or wavenumber k) refers to the turbulent length scales.The measurements of Cn2 acquired in the present study are consistent with Cn2 measurements from other studies in the literature. The data for all three methods to estimate Cn2 closely followed Cn2 measured from the scintillometer, with the spectral analysis methods showing the best agreement. The study lends credence to the use of structure functions obtained from time-series data from single point measurements of atmospheric variables to accurately estimate Cn2 within the marine atmospheric boundary layer.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798819384213Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Refractive index structure parameterIndex Terms--Genre/Form:

542853
Electronic books.

Methods for Determining the Refractive Index Structure Parameter in the Marine Atmospheric Boundary Layer.
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245 1 0 $a Methods for Determining the Refractive Index Structure Parameter in the Marine Atmospheric Boundary Layer.
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500 $a Source: Masters Abstracts International, Volume: 83-12.
500 $a Advisor: White, Christopher.
502 $a Thesis (M.S.)--University of New Hampshire, 2022.
504 $a Includes bibliographical references
520 $a An experimental study of the marine atmospheric boundary layer effects on the index of refraction was conducted off the coast of Portsmouth, NH between Battery Farnsworth and Wood Island. This study aimed to compare measured changes in the refractive index structure parameter (Cn2) to estimates using time series data of single point atmospheric variables, including temperature, pressure, and wind velocity. A scintillometer transmitter and receiver located at Battery Farnsworth and Wood Island, respectively, provided direct measurements of Cn2. Data from a weather tower containing a sonic anemometer was used to estimate Cn2.Three methods of analysis to estimate Cn2 from the time-series data from single point atmospheric variables were employed. The three methods were a two-point structure function method (most common method in practice owing to its simplicity), a spectral analysis method assuming Kolmogorov turbulence with r2/3 (k -5/3) scaling, and a spectral analysis not assuming Kolmogorov scaling. Here r (or wavenumber k) refers to the turbulent length scales.The measurements of Cn2 acquired in the present study are consistent with Cn2 measurements from other studies in the literature. The data for all three methods to estimate Cn2 closely followed Cn2 measured from the scintillometer, with the spectral analysis methods showing the best agreement. The study lends credence to the use of structure functions obtained from time-series data from single point measurements of atmospheric variables to accurately estimate Cn2 within the marine atmospheric boundary layer.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Mechanical engineering. $3 649730
650 4 $a Fluid mechanics. $3 528155
650 4 $a Atmospheric sciences. $3 3168354
653 $a Refractive index structure parameter
653 $a Wind velocity
653 $a Marine atmospheric boundary layer
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773 0 $t Masters Abstracts International $g 83-12.
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