Priprema meteoroloških prognostičkih karata u programskom jeziku Python

master's thesis

• Title (english): Preparation of the weather forecast maps in programming language Python
• Author: Alen Šterpin
• Mentor: Goranka Bilalbegović (mentor)
• Committee member: Goranka Bilalbegović (predsjednik povjerenstva)
• Committee member: Zvjezdana Bencetić Klaić (član povjerenstva)
• Committee member: Gorjana Jerbić-Zorc (član povjerenstva)
• Committee member: Ivana Herceg Bulić (član povjerenstva)
• Committee member: Ana Sušac (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Physics); Zagreb
• Defense date and country: 2016-07-15, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Physics

Abstract

Programski jezik Python postaje sve značajniji za obradu i prikaz podataka u znanosti. Pored velikih mogućnosti koje ima Python, mogu se koristiti paketi kao što su Numpy, Scipy i Matplotlib za numerički rad i vizualizaciju rezultata. Dodatni paketi koji su prilagođeni za rad u određenom užem znanstvenom području se također koriste. U ovom diplomskom radu primjenjuje se Python te dodatne biblioteke za analizu i prikaz meteoroloških podataka. Specijalno, napisani su i opisani programi za prikaz osnovnih meteoroloških elemenata u budućnosti, kao što su temperatura zraka, tlak zraka, smjer i brzina vjetra, ukupna naoblaka te količina oborine. Prognostički model koji se prikazuje na kartama je GFS kojeg razvija NOAA. Podaci su ucrtani na karti Hrvatske i dostupni su u formatu pogodnom za prikazivanje na web stranicama. Te meteorološke prognostičke karte dostupne su u intervalima od svaka tri sata, za sljedećih 10 dana, na internet stranicama udruge Istramet: www.istramet.hr.

Abstract (english)

The programming language Python becomes increasingly important for analysis and display of scientific data. In addition to the big capabilities of Python, packages such as Numpy, Scipy and Matplotlib can be used for a numerical work and visualization of results. Additional packages are applied in various scientific fields. This thesis uses Python and additional packages for analysis and display of meteorological data. In particular, programs for display of basic meteorological parameters, such as air temperature, air pressure, direction and wind speed, total cloudness, as well as precipitations, are written and described here. Forecast model used for display weather forecast maps is GFS developed by NOAA. Data are displayed on the map of Croatia, suitable for display on web pages. These weather forecast maps are available at an interval of every three hours, through the next 10 days, on webpages of the association Istramet: www.istramet.hr.

• Keywords: meteorološke prognostičke karte; programski jezik Python
• Keywords (english): weather forecast maps; programming language Python
• Language: croatian
• URN:NBN: urn:nbn:hr:217:621678
• Study programme: Title: Physics and Computer Science; specializations in: Education; Course: Education; Study programme type: university; Study level: integrated undergraduate and graduate; Academic / professional title: magistar/magistra fizike i informatike (magistar/magistra fizike i informatike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2017-03-05 12:12:01