Praćenje i prognoza kretanja grmljavinske aktivnosti

master's thesis

• Title (english): Tracking and lightning activity movement prediction
• Author: Nino Rašić
• Mentor: Viktor Milardić (mentor)
• Committee member: Viktor Milardić (član povjerenstva)
• Committee member: Igor Mekterović (član povjerenstva)
• Committee member: Ivica Pavić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2016-07-08, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Sustavi za lociranje atmosferskih pražnjenja u stvarnom vremenu detektiraju i lociraju pojavu grmljavine na širem području. Podaci koje pružaju su lokacija udara, vrijeme udara i parametri atmosferskih pražnjenja, predstavljaju stvarne događaje koji su se već ostvarili. Osim podataka o udarima munja, korisna informacija je predviđanje, odnosno prognoziranje, kretanja grmljavinske naoblake. Zbog vrste pojave grmljavine, odnosno atmosferskih pražnjenja, klasični meteorološki prognostički modeli nemaju mogućnost prognoziranja pojave grmljavine. Kretanje grmljavinskih oluja prognozira se korištenjem podataka sustava za lociranje atmosferskih pražnjenja, uz pomoć korištenja prognoziranih meteoroloških veličina kao što su temperatura, tlak, vlaga, brzina i smjer vjetra te korištenja modela reljefa i sl. U literaturi se praćenje kretanja grmljavine naziva eng. Cell Tracking, a temelji se na numeričkim podacima sustava za lociranje atmosferskih pražnjenja pri čemu se koriste napredne funkcionalnosti GIS alata u obradi prostornih podataka.
U okviru zadatka istražen je način rada sustava za lociranje atmosferskih pražnjenja koji se razvija i koristi na FER-u, a odnosi se na svojstvo praćenja grmljavinske aktivnosti u stvarnom vremenu. Na temelju raspoloživih podataka realizirana je programska podrška koja će omogućiti prognoziranje kretanja grmljavinske aktivnosti te su ista vizualno prikazana na karti.

Abstract (english)

Systems for atmospheric discharge locating detect and locate appearance of thunderstorms in real time in the wider area. The data they provide, the location of the strike, time of the strike and parameters of atmospheric discharge, represent real events that have already happened. In addition to data on lightning strikes it provides useful information for anticipation, or forecasting of lightning clouds. Classic meteorological forecasting models cannot forecast appearances of thunderstorms due to the type of occurrence of atmospheric discharge. The movement of thunderstorms is forecasted using data from the system for atmospheric discharge location, with the help of using forecasted meteorological quantities as temperature, pressure, humidity, wind speed and direction while using terrain models etc. In the literature, thunder movement tracking is called cell tracking, and it is based on numerical data from atmospheric discharge location system, which uses advanced functionalities of GIS tools in spatial data processing.
Operation of the atmospheric discharge location system was investigated within the task. The system, used and developed on Faculty of Electrical Engineering and Computing refers to lightning thunderstorms motion tracking in real time. Software is implemented on the basis of available data that will enable forecasting of lightning thunderstorms movements and visually display them on a map.

• Keywords: Sustav za lociranje udara munja; LINET; atmosferska pražnjenja; GIS; prostorna analiza; grmljavinske ćelije; prognoziranje kretanja grmljavinskih ćelija; Python; Flask; REST
• Keywords (english): lightning locating system; LINET; atmospheric discharge; GIS; spatial analyses; lightning cells; cell tracking; Python; Flask; REST
• Language: croatian
• URN:NBN: urn:nbn:hr:168:553628
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 11:32:35