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Meteorological Reanalysis Data Inputs for Improved Aviation Noise Modeling.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Meteorological Reanalysis Data Inputs for Improved Aviation Noise Modeling./
Author:	Romond, Rachel A.
Description:	1 online resource (324 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 83-06, Section: B.
Contained By:	Dissertations Abstracts International83-06B.
Subject:	Aerospace engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28929398click for full text (PQDT)
ISBN:	9798494498663

Meteorological Reanalysis Data Inputs for Improved Aviation Noise Modeling.
Romond, Rachel A.

Meteorological Reanalysis Data Inputs for Improved Aviation Noise Modeling. - 1 online resource (324 pages)

Source: Dissertations Abstracts International, Volume: 83-06, Section: B.

Thesis (Ph.D.)--The Pennsylvania State University, 2021.

Includes bibliographical references

To improve the prediction capabilities of aviation noise modeling tools, recent work has focused on including the vertical structure of the inhomogeneous propagation environment. Vertical profiles of interest are temperature, pressure, humidity, wind speed, and wind direction. Previous studies have used profiles from atmospheric soundings, which are limited to the time and place at which the measurements were made. If profiles are not available for a given location, assumptions must be made about the atmospheric structure. In addition, propagation modeling based on individual soundings or standard profile assumptions may be misinterpreted to imply a simple and/or unchanging atmosphere in cases where the actual atmosphere has much greater spatial and temporal variability.An alternate source of atmospheric data is meteorological reanalysis. Reanalysis feeds quality-controlled measurements from many sources into dynamic meteorological models. These models produce 4-D data fields describing the state of the atmosphere through time. Multiple global and continent-scale reanalysis products are produced and maintained by governmental institutions, and are freely available to the public.In this dissertation, the National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) is considered for use in the calculation of noise propagation from civil aircraft at en-route altitudes to receivers near the ground. Atmospheric profiles are extracted from CFSR data and input to the Advanced En-Route Noise Model (AERNOM) acoustic ray tracing program to show the effects of realistic inhomogeneous atmospheric conditions throughout the propagation path.It is demonstrated that the CFSR 6-hourly analysis product is a feasible data source for atmospheric profiles when calculating sound propagation from in-flight aircraft. Furthermore, calculated sound pressure levels at ground receivers show that realistic vertical profiles are increasingly important as aircraft source altitude increases. The techniques described for CFSR should also be applicable to similar reanalysis products, and would be useful in future development of the Federal Aviation Administration's Aviation Environmental Design Tool (AEDT) for en-route flight altitudes.

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

Mode of access: World Wide Web

ISBN: 9798494498663Subjects--Topical Terms:

1002622
Aerospace engineering.
Subjects--Index Terms:

Noise propagation calculationIndex Terms--Genre/Form:

542853
Electronic books.

Meteorological Reanalysis Data Inputs for Improved Aviation Noise Modeling.
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504 $a Includes bibliographical references
520 $a To improve the prediction capabilities of aviation noise modeling tools, recent work has focused on including the vertical structure of the inhomogeneous propagation environment. Vertical profiles of interest are temperature, pressure, humidity, wind speed, and wind direction. Previous studies have used profiles from atmospheric soundings, which are limited to the time and place at which the measurements were made. If profiles are not available for a given location, assumptions must be made about the atmospheric structure. In addition, propagation modeling based on individual soundings or standard profile assumptions may be misinterpreted to imply a simple and/or unchanging atmosphere in cases where the actual atmosphere has much greater spatial and temporal variability.An alternate source of atmospheric data is meteorological reanalysis. Reanalysis feeds quality-controlled measurements from many sources into dynamic meteorological models. These models produce 4-D data fields describing the state of the atmosphere through time. Multiple global and continent-scale reanalysis products are produced and maintained by governmental institutions, and are freely available to the public.In this dissertation, the National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) is considered for use in the calculation of noise propagation from civil aircraft at en-route altitudes to receivers near the ground. Atmospheric profiles are extracted from CFSR data and input to the Advanced En-Route Noise Model (AERNOM) acoustic ray tracing program to show the effects of realistic inhomogeneous atmospheric conditions throughout the propagation path.It is demonstrated that the CFSR 6-hourly analysis product is a feasible data source for atmospheric profiles when calculating sound propagation from in-flight aircraft. Furthermore, calculated sound pressure levels at ground receivers show that realistic vertical profiles are increasingly important as aircraft source altitude increases. The techniques described for CFSR should also be applicable to similar reanalysis products, and would be useful in future development of the Federal Aviation Administration's Aviation Environmental Design Tool (AEDT) for en-route flight altitudes.
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