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Adriatic-Ionian air temperature and precipitation patterns derived from self-organizing maps: relation to hemispheric indices (CROSBI ID 268139)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

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

Podaci o odgovornosti

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

engleski

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

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.

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

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Podaci o izdanju

78 (2)

2019.

149-163

objavljeno

0936-577X

1616-1572

10.3354/cr01565

Povezanost rada

Geofizika, Interdisciplinarne prirodne znanosti, Računarstvo

Poveznice
Indeksiranost