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master's thesis
Advekcija prognostičkih varijabli tekuće vode i prognoza konvekcije
Zagreb: University of Zagreb, Faculty of Science, 2019. urn:nbn:hr:217:072566
Kahlina, Leon
University of Zagreb
Faculty of Science
Department of Geophysics

Institutional repository: Repository of the Faculty of Science

Cite this document

Kahlina, L. (2019). Advekcija prognostičkih varijabli tekuće vode i prognoza konvekcije (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:072566

Kahlina, Leon. "Advekcija prognostičkih varijabli tekuće vode i prognoza konvekcije." Master's thesis, University of Zagreb, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:217:072566

Kahlina, Leon. "Advekcija prognostičkih varijabli tekuće vode i prognoza konvekcije." Master's thesis, University of Zagreb, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:217:072566

Kahlina, L. (2019). 'Advekcija prognostičkih varijabli tekuće vode i prognoza konvekcije', Master's thesis, University of Zagreb, Faculty of Science, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:217:072566

Kahlina L. Advekcija prognostičkih varijabli tekuće vode i prognoza konvekcije [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2019 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:217:072566

L. Kahlina, "Advekcija prognostičkih varijabli tekuće vode i prognoza konvekcije", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:217:072566

Metadata
TitleAdvekcija prognostičkih varijabli tekuće vode i prognoza konvekcije
Title (english)Advection of liquid water prognostic variables and convection forecast
AuthorLeon Kahlina
MentorŽeljko Večenaj (mentor)
Committee memberŽeljko Večenaj (predsjednik povjerenstva)
Committee memberMartina Tudor (član povjerenstva)
Committee memberBranko Grisogono (član povjerenstva)
Committee memberInes Ivančić (član povjerenstva)
Committee memberAntun Marki (član povjerenstva)
Committee memberSnježana Markušić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Geophysics)
Zagreb
Defense date and country2019-03-05, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Geophysics
Meteorology and Climatology
Abstract
Prognoza vremena temelji se na produktima numeričkih modela za vremensku prognozu. Vremenske prilike koje imaju značajan utjecaj na sigurnost mogu biti karakteristične za neku zemlju ili regiju te njihova prognoza može zahtjevati specifične postavke modela u obliku rezolucije i kompleksnosti modela. U Državnom hidrometeorološkom zavodu operativna numerička prognoza vremena koristi model ALADIN. Parametrizirane procese opisujemo takozvanom fizikom modela, npr. zračenje, mikrofiziku oblaka, konvekciju, turbulenciju, orografiju itd. Opis tih procesa vezan je s dinamikom modela preko sučelja u kojem određene fizičke procese možemo uključiti ili isključiti pomoću logičkih prekidača. U radu koristimo nehidrostatički model ALADIN rezolucije 2 km u području djelomično razlučene konvekcije i ALARO fizički paket. Uključivanjem i isključivanjem advecije i semi-lagrangijanske difuzije na prognostičkim varijablama (kiša, snijeg, led oblaka i voda oblaka) gledamo što se događa s konvekcijom, odnosno prognoziramo konvekciju. Promatrano je preko deset slučajeva za koje je napravljeno četiri eksperimenta. Odabrana su dva slučaja, odnosno datuma, prezentirana i diskutirana u ovom radu.
Abstract (english)
Weather forecasting is based on the products of numerical models for weather forecasts. Weather circumstances that have significant impact on security may be characteristic of a country or region and their forecast may require specific model settings in the form of resolution and complexity of the model. In the (DHMZ), the operating numerical forecast uses ALADIN model. Parametrized processes are described by the so called model physic, e.g. radiation, cloud microphysics, convection, turbulence, orography, etc. The description of these processes is related to the dynamics of the model through an interface in which certain physical processes can be switched on or off by means of logic switches. In this paper we use the non-hydrostatic 2 km resolution prognosis in the field of partially resolved convection and the ALARO physical package. Activation and exclusion of advection and semi-lagrang diffusion of prognostic variables (rain, snow, cloud ice, cloud water), we analyze process of convection in numerical model. Over ten cases were observed for which four experiments were made. Two cases were selected, i.e. two dates, presented and discussed in this paper.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:072566
Study programmeTitle: Graduate university study pf Physics - Geophysics; specializations in: Seismology and Physics of the Earth's Interior, Meteorology and Physical Oceanography
Course: Meteorology and Physical Oceanography
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra fizike – geofizike (magistar/magistra fizike – geofizike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-03-06 13:43:30