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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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/10356/78145 |
| _version_ | 1811693924798955520 |
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| author | Hee, Angeline Xin Yi |
| author2 | Erry Gunawan |
| author_facet | Erry Gunawan Hee, Angeline Xin Yi |
| author_sort | Hee, Angeline Xin Yi |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T06:59:25Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/78145 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:59:25Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Hee, Angeline Xin Yi Planetary boundary layer height estimation using satellite remote sensing techniques |
| title | 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_short | Planetary boundary layer height estimation using satellite remote sensing techniques |
| title_sort | planetary boundary layer height estimation using satellite remote sensing techniques |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/78145 |
| work_keys_str_mv | AT heeangelinexinyi planetaryboundarylayerheightestimationusingsatelliteremotesensingtechniques |