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Pregled bibliografske jedinice broj: 1183572

The influence of atmospheric teleconnections on weather patterns in continental Croatia


Katušić, Damjan; Pripužić, Krešimir
The influence of atmospheric teleconnections on weather patterns in continental Croatia // Abstract Book - Fifth International Workshop on Data Science / Lončarić, Sven ; Šmuc, Tomislav (ur.).
Zagreb: Centre of Research Excellence for Data Science and Cooperative Systems Research Unit for Data Science, 2020. str. 41-43 (predavanje, domaća recenzija, kratko priopćenje, znanstveni)


CROSBI ID: 1183572 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
The influence of atmospheric teleconnections on weather patterns in continental Croatia
(The Infuence of Atmospheric Teleconnections on Weather Patterns in Continental Croatia)

Autori
Katušić, Damjan ; Pripužić, Krešimir

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, kratko priopćenje, znanstveni

Izvornik
Abstract Book - Fifth International Workshop on Data Science / Lončarić, Sven ; Šmuc, Tomislav - Zagreb : Centre of Research Excellence for Data Science and Cooperative Systems Research Unit for Data Science, 2020, 41-43

Skup
Fifth International Workshop on Data Science

Mjesto i datum
Zagreb, Hrvatska, 24-24.11.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Domaća recenzija

Ključne riječi
weather ; time series ; forecasting

Sažetak
The widespread availability of sensor data allows the development of data-driven forecasting models that can complement regular forecasting techniques used in meteorology. Many of these data is still unused or not used enough. Teleconnections are spatial patterns in the atmosphere that link weather and climate anomalies over large distances across the globe. This paper examines the influence of two atmospheric teleconnections (Arctic Oscillation (AO) and North Atlantic Oscillation (NAO)) on weather patterns in continental Croatia. Hypothesis is that better forecasts can be achieved by combining teleconnection data with data locally available on meteorological stations.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekti:
HRZZ-UIP-2017-05-9066 - Učinkovita stvarnovremenska obrada brzih geoprostornih podataka (RETROFIT) (Pripužić, Krešimir, HRZZ - 2017-05) ( POIROT)
EK-KF-KK.01.1.1.01.0009-1 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima - IJ za znanost o podatcima (Lončarić, Sven, EK - KK.01.1.1.01) ( POIROT)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Damjan Katušić (autor)

Avatar Url Krešimir Pripužić (autor)

Poveznice na cjeloviti tekst rada:

drive.google.com

Citiraj ovu publikaciju:

Katušić, Damjan; Pripužić, Krešimir
The influence of atmospheric teleconnections on weather patterns in continental Croatia // Abstract Book - Fifth International Workshop on Data Science / Lončarić, Sven ; Šmuc, Tomislav (ur.).
Zagreb: Centre of Research Excellence for Data Science and Cooperative Systems Research Unit for Data Science, 2020. str. 41-43 (predavanje, domaća recenzija, kratko priopćenje, znanstveni)
Katušić, D. & Pripužić, K. (2020) The influence of atmospheric teleconnections on weather patterns in continental Croatia. U: Lončarić, S. & Šmuc, T. (ur.)Abstract Book - Fifth International Workshop on Data Science.
@article{article, author = {Katu\v{s}i\'{c}, Damjan and Pripu\v{z}i\'{c}, Kre\v{s}imir}, year = {2020}, pages = {41-43}, keywords = {weather, time series, forecasting}, title = {The influence of atmospheric teleconnections on weather patterns in continental Croatia}, keyword = {weather, time series, forecasting}, publisher = {Centre of Research Excellence for Data Science and Cooperative Systems Research Unit for Data Science}, publisherplace = {Zagreb, Hrvatska} }
@article{article, author = {Katu\v{s}i\'{c}, Damjan and Pripu\v{z}i\'{c}, Kre\v{s}imir}, year = {2020}, pages = {41-43}, keywords = {weather, time series, forecasting}, title = {The Infuence of Atmospheric Teleconnections on Weather Patterns in Continental Croatia}, keyword = {weather, time series, forecasting}, publisher = {Centre of Research Excellence for Data Science and Cooperative Systems Research Unit for Data Science}, publisherplace = {Zagreb, Hrvatska} }




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