Advekcija prognostičkih varijabli tekuće vode i prognoza konvekcije

master's thesis

• Title (english): Advection of liquid water prognostic variables and convection forecast
• Author: Leon Kahlina
• Mentor: Željko Večenaj (mentor)
• Committee member: Željko Večenaj (predsjednik povjerenstva)
• Committee member: Martina Tudor (član povjerenstva)
• Committee member: Branko Grisogono (član povjerenstva)
• Committee member: Ines Ivančić (član povjerenstva)
• Committee member: Antun Marki (član povjerenstva)
• Committee member: Snježana Markušić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Geophysics); Zagreb
• Defense date and country: 2019-03-05, 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: ALADIN; ALARO; advekcija; konvekcija; prognostičke varijable; semilagrangijanska difuzija
• Keywords (english): ALADIN; ALARO; advection; convection; prognostic variables; semilagrangian diffusion
• Language: croatian
• URN:NBN: urn:nbn:hr:217:072566
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2019-03-06 13:43:30