Planetary boundary layer height estimation using satellite remote sensing techniques

Planetary Boundary Layer (PBL) is the lowest layer in the Troposphere. It is directly influenced by the Earth’s surface and it is where interactions between the Earth’s surface and the atmosphere happens. The interactions are through the exchanges of heat, momentum, moisture, and chemical constituen...

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Main Author: Hee, Angeline Xin Yi
Other Authors: Erry Gunawan
Format: Final Year Project
Language:English
Published: 2019
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Online Access:http://hdl.handle.net/10356/78145
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-781452023-07-07T16:07:34Z Planetary boundary layer height estimation using satellite remote sensing techniques Hee, Angeline Xin Yi Erry Gunawan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Planetary Boundary Layer (PBL) is the lowest layer in the Troposphere. It is directly influenced by the Earth’s surface and it is where interactions between the Earth’s surface and the atmosphere happens. The interactions are through the exchanges of heat, momentum, moisture, and chemical constituents between the surface and free atmosphere. The greatest atmospheric kinetic energy is associated with this layer.[1] There are various methods to measure PBL height. Methods include aircraft, SODAR, wind profilers, lidar, radiosonde and Global Positioning System (GPS) radio occultation.[2] In this project, the method of GPS radio occultation would be explored. The data will be obtained from Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) and Moving Average Window will be the method to derive the height of PBL. MATLAB software will be the main programming language used for this project. It is used for the analysis of the data, to develop the algorithm to compute the values and plot the graphs for PBLH. COSMIC Radio Occultation (RO) data processed by COSMIC Data Analysis and Archive Center (CDAAC), ‘wetPrf’ atmospheric occultation profile from January 2015 to December 2017, will be used in the statistical analysis of PBL height. After PBL height map is determined, an analysis of the results will be discussed. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-12T08:03:08Z 2019-06-12T08:03:08Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78145 en Nanyang Technological University 56 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Hee, Angeline Xin Yi
Planetary boundary layer height estimation using satellite remote sensing techniques
description Planetary Boundary Layer (PBL) is the lowest layer in the Troposphere. It is directly influenced by the Earth’s surface and it is where interactions between the Earth’s surface and the atmosphere happens. The interactions are through the exchanges of heat, momentum, moisture, and chemical constituents between the surface and free atmosphere. The greatest atmospheric kinetic energy is associated with this layer.[1] There are various methods to measure PBL height. Methods include aircraft, SODAR, wind profilers, lidar, radiosonde and Global Positioning System (GPS) radio occultation.[2] In this project, the method of GPS radio occultation would be explored. The data will be obtained from Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) and Moving Average Window will be the method to derive the height of PBL. MATLAB software will be the main programming language used for this project. It is used for the analysis of the data, to develop the algorithm to compute the values and plot the graphs for PBLH. COSMIC Radio Occultation (RO) data processed by COSMIC Data Analysis and Archive Center (CDAAC), ‘wetPrf’ atmospheric occultation profile from January 2015 to December 2017, will be used in the statistical analysis of PBL height. After PBL height map is determined, an analysis of the results will be discussed.
author2 Erry Gunawan
author_facet Erry Gunawan
Hee, Angeline Xin Yi
format Final Year Project
author Hee, Angeline Xin Yi
author_sort Hee, Angeline Xin Yi
title Planetary boundary layer height estimation using satellite remote sensing techniques
title_short Planetary boundary layer height estimation using satellite remote sensing techniques
title_full Planetary boundary layer height estimation using satellite remote sensing techniques
title_fullStr Planetary boundary layer height estimation using satellite remote sensing techniques
title_full_unstemmed Planetary boundary layer height estimation using satellite remote sensing techniques
title_sort planetary boundary layer height estimation using satellite remote sensing techniques
publishDate 2019
url http://hdl.handle.net/10356/78145
_version_ 1772827974590005248