Statistical analysis of meteo-droughts for Kikinda based on the CarpatClim data
Abstract
In order to overcome the lack of long-term meteorological dataset, European
Commision launched the CARPATCLIM project – climate atlas of the Carpathian region
with the daily basis meteorological data. This paper presents comparison of the results of
stochastic analysis of meteorological droughts occurrence in a growing season based on
the data from meteorological station of Kikinda and the data from CARPATCLIM
database which covers the region of Kikinda meteorological station. In this paper,
meteorological drought is defined as a product of drought length (period lasting at least
25 days with precipitation below 5 mm/day) and mean air temperature during the dry
period. Stochastic model of the meteo-drought occurrence is based on the theory of
extremes with a random number of random variables, allowing to make use of all
significant observed meteo-droughts.
Source:
7th Int. Conf. Contemporary Achievements in Civil Engineering, 2019, 707-719Funding / projects:
- Urban Drainage Systems as Key Infrastructure in Cities and Towns (RS-MESTD-Technological Development (TD or TR)-37010)
Institution/Community
GraFarTY - CONF AU - Gabrić, Ognjen AU - Plavšić, Jasna PY - 2019 UR - https://grafar.grf.bg.ac.rs/handle/123456789/2226 AB - In order to overcome the lack of long-term meteorological dataset, European Commision launched the CARPATCLIM project – climate atlas of the Carpathian region with the daily basis meteorological data. This paper presents comparison of the results of stochastic analysis of meteorological droughts occurrence in a growing season based on the data from meteorological station of Kikinda and the data from CARPATCLIM database which covers the region of Kikinda meteorological station. In this paper, meteorological drought is defined as a product of drought length (period lasting at least 25 days with precipitation below 5 mm/day) and mean air temperature during the dry period. Stochastic model of the meteo-drought occurrence is based on the theory of extremes with a random number of random variables, allowing to make use of all significant observed meteo-droughts. C3 - 7th Int. Conf. Contemporary Achievements in Civil Engineering T1 - Statistical analysis of meteo-droughts for Kikinda based on the CarpatClim data EP - 719 SP - 707 DO - 10.14415/konferencijaGFS2019.065 ER -
@conference{ author = "Gabrić, Ognjen and Plavšić, Jasna", year = "2019", abstract = "In order to overcome the lack of long-term meteorological dataset, European Commision launched the CARPATCLIM project – climate atlas of the Carpathian region with the daily basis meteorological data. This paper presents comparison of the results of stochastic analysis of meteorological droughts occurrence in a growing season based on the data from meteorological station of Kikinda and the data from CARPATCLIM database which covers the region of Kikinda meteorological station. In this paper, meteorological drought is defined as a product of drought length (period lasting at least 25 days with precipitation below 5 mm/day) and mean air temperature during the dry period. Stochastic model of the meteo-drought occurrence is based on the theory of extremes with a random number of random variables, allowing to make use of all significant observed meteo-droughts.", journal = "7th Int. Conf. Contemporary Achievements in Civil Engineering", title = "Statistical analysis of meteo-droughts for Kikinda based on the CarpatClim data", pages = "719-707", doi = "10.14415/konferencijaGFS2019.065" }
Gabrić, O.,& Plavšić, J.. (2019). Statistical analysis of meteo-droughts for Kikinda based on the CarpatClim data. in 7th Int. Conf. Contemporary Achievements in Civil Engineering, 707-719. https://doi.org/10.14415/konferencijaGFS2019.065
Gabrić O, Plavšić J. Statistical analysis of meteo-droughts for Kikinda based on the CarpatClim data. in 7th Int. Conf. Contemporary Achievements in Civil Engineering. 2019;:707-719. doi:10.14415/konferencijaGFS2019.065 .
Gabrić, Ognjen, Plavšić, Jasna, "Statistical analysis of meteo-droughts for Kikinda based on the CarpatClim data" in 7th Int. Conf. Contemporary Achievements in Civil Engineering (2019):707-719, https://doi.org/10.14415/konferencijaGFS2019.065 . .