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2023, vol. 51, br. 2, str. 231-242
Nelinearna dinamička analiza meteoroloških promenljivih za region Hail, Saudijska Arabija, za period 1990-2022
aNational University of Malaysia, Faculty of Science and Technology, Malaysia
bFatimah Abdul Razak National University of Malaysia, Malaysia
cNational University of Malaysia, Malaysia
The authors acknowledge the academic support provided by the National University of Malaysia. No financial support was sought. They acknowledge the use of MATLAB and Visual Recurrence Analysis by Eugene (2003).

Ključne reči: nonlinear dynamic analysis; chaos theory; climate variables; time series; chaos detection; recurrence analysis, random forest algorithm
Studija primenjuje različite metode detekcije haosa na meteorološke promenljive podatke (temperatura vazduha, relativna vlažnost, površinski pritisak, padavine i brzina vetra za Hail, Saudijska Arabija) da bi se razumela nelinearna dinamika i klasifikovala njihova priroda. Pored toga, model algoritma Random Forest se koristi za predviđanje padavina i brzine vetra. Upoređeni su rezultati dobijeni klasičnim i savremenim pristupima. Utvrđeno je da su sve promenljive haotične na osnovu dimenzije korelacije, približne entropije i testa 0-1. Algoritam drveta odlučivanja o haosu dijagnostikuje temperaturu vazduha, relativnu vlažnost i brzinu vetra kao haotične, dok su padavine i površinski pritisak identifikovani kao stohastički. Ovo pokazuje da su klasične metode dobro potvrđene sa savremenim metodama. Ipak, neki od njih su u suprotnosti sa savremenim metodama. Analiza podataka za 32 godine pokazala je da nije bilo padavina u 92% vremena tokom čitavog perioda na osnovu algoritma Random Forest.
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O članku

jezik rada: engleski
vrsta rada: neklasifikovan
DOI: 10.5937/fme2302231M
primljen: 15.03.2023.
prihvaćen: 15.04.2023.
objavljen u SCIndeksu: 13.05.2023.
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