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Pregled bibliografske jedinice broj: 1015422

Adriatic-Ionian air temperature and precipitation patterns derived from self-organizing maps: relation to hemispheric indices


Matić, Frano; Kalinić, Hrvoje; Vilibić, Ivica; Grbec, Branka; Morožin, Karla
Adriatic-Ionian air temperature and precipitation patterns derived from self-organizing maps: relation to hemispheric indices // Climate Research, 78 (2019), 2; 149-163 doi:10.3354/cr01565 (međunarodna recenzija, članak, znanstveni)


Naslov
Adriatic-Ionian air temperature and precipitation patterns derived from self-organizing maps: relation to hemispheric indices

Autori
Matić, Frano ; Kalinić, Hrvoje ; Vilibić, Ivica ; Grbec, Branka ; Morožin, Karla

Izvornik
Climate Research (0936-577X) 78 (2019), 2; 149-163

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Self-organizing maps ; Air temperature ; Precipitation ; Hemispheric indices ; Central Mediterranean

Sažetak
Normalized anomalies in air temperature and precipitation patterns derived from monthly data series collected at 28 in situ meteorological stations in the Adriatic-Ionian region between 1961 and 2015 were mapped by using the self-organizing map (SOM) method—an unsupervised neural network method—and connected with hemispheric indices in the atmosphere. Four indices were used: North Atlantic Oscillation (NAO), East Atlantic (EA), East Atlantic/West Russia (EAWR) and Scandinavian (SCA). Two experiments were conducted: the first combined normalized temperature anomalies with the indices, and the second combined normalized precipitation anomalies with the indices. Precipitation data better fit the SOM model than temperature data, while the SOM model has the best performance at a 3 × 3 matrix size. Region-wide negative precipitation anomalies are related to a combination of positive NAO and EAWR, and negative SCA indices, and vice versa. Positive air temperature anomalies are related to the positive EA index and vice versa. The mapped relations between the NAO index and precipitation anomalies indicate a nonlinear connection, because positive index values resemble 2 different precipitation patterns. The SOM-based nonlinear clustering might be useful in determining and forecasting precipitation and air temperature patterns from hemispheric indices.

Izvorni jezik
Engleski

Znanstvena područja
Fizika, Geofizika, Interdisciplinarne prirodne znanosti



POVEZANOST RADA


Projekt / tema
HRZZ-IP-06-2016-1955
HRZZ-IP-2018-01-9849 - Izranjanje i poniranje u području srednjeg Jadrana (Mirko Orlić, )

Ustanove
Institut za oceanografiju i ribarstvo, Split,
Prirodoslovno-matematički fakultet, Split,
Sveučilište u Splitu Sveučilišni odjel za studije mora

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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