magistrsko delo
Marko Hrastovec (Author), Franc Solina (Mentor)

Abstract

Zajem in obdelava meteoroloških podatkov z letal z radarji Mode-S

Keywords

radar;letalo;meteorologija;ozračje;Kalmanov filter;računalništvo;magisteriji;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [M. Hrastovec]
UDC: 004.9(043.2)
COBISS: 7620436 Link will open in a new window
Views: 1005
Downloads: 212
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Other data

Secondary language: English
Secondary title: [Processing meteorological data acquired from aircrafts with Mode-S radars]
Secondary abstract: Mode-S radars are capable to acquire meteorological data from aircrafts. At present it is possible to get temperature, wind speed and direction. The data are decoded, collected and stored. The Slovenian Environmental Agency provided control data from radiosondes. Radiosondes measure data daily and are valuable source of information about high atmosphere. Aircraft data were compared to radiosondes data and analysed for accuracy and reliability. The last part of paper describes methods for producing vertical atmosphere profile from data fetched from radar in real time with Kalman filter. The method presented automatically excludes measurements which are not accurate enough to get more accurate results. Data produced with this method were surprisingly accurate. Vertical profiles produced from aircraft data proved to be a very good substitute for radiosonde data. They are also much cheaper but they lack some information. Main drawbacks are missing air moisture data because aircrafts don't have sensors for it and missing data on heights where aircrafts don't fly. At least air moisture data can be expected in the near future since some sensors are already mounted on aircrafts for tests. There are many possible ways of usage of data acquired this way. AMDAR project could get a large amount of additional data via alternate path. With more information about atmosphere aircrafts could be warned about weather inconveniences. We are exploring other ways of using the data with Slovenian Environmental Agency and intend to develop new useful products.
Secondary keywords: radar;airplane;meteorology;atmosphere;Kalman filter;computer science;master's degree;
File type: application/pdf
Type (COBISS): Master's thesis
Thesis comment: Univerza v Ljubljani, Fakulteta za računalništvo in informatiko
Pages: 78 str.
ID: 23914112
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