TY  - CONF
AU  - Blesić, Suzana
AU  - Sarvan, Darko
AU  - Tošić, Milica
AU  - Borovinić, Marko
PY  - 2021
UR  - https://vet-erinar.vet.bg.ac.rs/handle/123456789/2703
AB  - We used the Hurst Space Analysis (HSA), a technique that we recently developed to cluster or differentiate records from an arbitrary complex system based on the presence and influence of cycles in their statistical functions, to classify climatic data from climatically homogeneous regions according to their long-term persistent (LTP) character. For our analysis we selected four types of HadCRUT4 cells of temperature records over regions homogeneous in both climate and topography, which are sufficiently populated with ground observational stations. These cells bound: Pannonian and West Siberian plains, Rocky Mountains and Himalayas mountainous regions, Arctic and sub-Arctic climates of Island and Alaska, and Gobi and Sahara deserts.
C3  - EGU General Assembly 2021, 19-30 April 2021 online (pp. EGU21-238)
T1  - Classification of time series of temperature variations from climatically homogeneous regions using Hurst Space Analysis
DO  - 10.5194/egusphere-egu21-238
ER  - 

@conference{
author = "Blesić, Suzana and Sarvan, Darko and Tošić, Milica and Borovinić, Marko",
year = "2021",
abstract = "We used the Hurst Space Analysis (HSA), a technique that we recently developed to cluster or differentiate records from an arbitrary complex system based on the presence and influence of cycles in their statistical functions, to classify climatic data from climatically homogeneous regions according to their long-term persistent (LTP) character. For our analysis we selected four types of HadCRUT4 cells of temperature records over regions homogeneous in both climate and topography, which are sufficiently populated with ground observational stations. These cells bound: Pannonian and West Siberian plains, Rocky Mountains and Himalayas mountainous regions, Arctic and sub-Arctic climates of Island and Alaska, and Gobi and Sahara deserts.",
journal = "EGU General Assembly 2021, 19-30 April 2021 online (pp. EGU21-238)",
title = "Classification of time series of temperature variations from climatically homogeneous regions using Hurst Space Analysis",
doi = "10.5194/egusphere-egu21-238"
}

Blesić, S., Sarvan, D., Tošić, M.,& Borovinić, M.. (2021). Classification of time series of temperature variations from climatically homogeneous regions using Hurst Space Analysis. in EGU General Assembly 2021, 19-30 April 2021 online (pp. EGU21-238).
https://doi.org/10.5194/egusphere-egu21-238

Blesić S, Sarvan D, Tošić M, Borovinić M. Classification of time series of temperature variations from climatically homogeneous regions using Hurst Space Analysis. in EGU General Assembly 2021, 19-30 April 2021 online (pp. EGU21-238). 2021;.
doi:10.5194/egusphere-egu21-238 .

Blesić, Suzana, Sarvan, Darko, Tošić, Milica, Borovinić, Marko, "Classification of time series of temperature variations from climatically homogeneous regions using Hurst Space Analysis" in EGU General Assembly 2021, 19-30 April 2021 online (pp. EGU21-238) (2021),
https://doi.org/10.5194/egusphere-egu21-238 . .

TY  - JOUR
AU  - Sarvan, Darko
AU  - Tošić, Milica
AU  - Borovinić, Marko
AU  - Blesić, Suzana
PY  - 2021
UR  - https://vet-erinar.vet.bg.ac.rs/handle/123456789/2058
AB  - We used detrended methods for scaling analysis (DFA2 and DMA) and wavelet transform spectral analysis (WTS) to characterize long-term persistence (LTP) properties of temperature anomalies time series from observational stations from climatically and topologically homogeneous HadCRUT4 grid cells. We were interested to investigate the validity of the expectation that their LTP scaling properties remain preserved in the process of HadCRUT4 spatially interpolated and bias adjusted averaging, which was indeed the case in our selection. We additionally utilized the Hurst space analysis (HSA), a methodological solution that we recently developed, to classify climatic records from our dataset according to their LTP character and similarity of their WTS cyclical presentation. We were able to use HSA to observe four distinct patterns of climate dynamic behaviour according to the ‘preferred’ characteristic that those do not ‘belong to the ocean’. In this way, our results suggested that there probably exists a necessity to examine cycles in climate records as important elements of natural variability. To illustrate how the procedure developed in this article can be extended, we used HSA developed by the use of a dataset from climatically and topologically homogeneous regions to classified time series of teleconnection indices that may have influence on their regional climate. HSA can be further systematically utilized in this way, to link LTP properties of temperature anomalies with their possible spatially remote sources.
T2  - International Journal of Climatology
T1  - Classification of time series of temperature variations from climatically homogeneous regions based on long-term persistence
VL  - 41
IS  - 4
SP  - 2660
EP  - 2678
DO  - https://doi.org/10.1002/joc.6982
ER  - 

@article{
author = "Sarvan, Darko and Tošić, Milica and Borovinić, Marko and Blesić, Suzana",
year = "2021",
abstract = "We used detrended methods for scaling analysis (DFA2 and DMA) and wavelet transform spectral analysis (WTS) to characterize long-term persistence (LTP) properties of temperature anomalies time series from observational stations from climatically and topologically homogeneous HadCRUT4 grid cells. We were interested to investigate the validity of the expectation that their LTP scaling properties remain preserved in the process of HadCRUT4 spatially interpolated and bias adjusted averaging, which was indeed the case in our selection. We additionally utilized the Hurst space analysis (HSA), a methodological solution that we recently developed, to classify climatic records from our dataset according to their LTP character and similarity of their WTS cyclical presentation. We were able to use HSA to observe four distinct patterns of climate dynamic behaviour according to the ‘preferred’ characteristic that those do not ‘belong to the ocean’. In this way, our results suggested that there probably exists a necessity to examine cycles in climate records as important elements of natural variability. To illustrate how the procedure developed in this article can be extended, we used HSA developed by the use of a dataset from climatically and topologically homogeneous regions to classified time series of teleconnection indices that may have influence on their regional climate. HSA can be further systematically utilized in this way, to link LTP properties of temperature anomalies with their possible spatially remote sources.",
journal = "International Journal of Climatology",
title = "Classification of time series of temperature variations from climatically homogeneous regions based on long-term persistence",
volume = "41",
number = "4",
pages = "2660-2678",
doi = "https://doi.org/10.1002/joc.6982"
}

Sarvan, D., Tošić, M., Borovinić, M.,& Blesić, S.. (2021). Classification of time series of temperature variations from climatically homogeneous regions based on long-term persistence. in International Journal of Climatology, 41(4), 2660-2678.
https://doi.org/https://doi.org/10.1002/joc.6982

Sarvan D, Tošić M, Borovinić M, Blesić S. Classification of time series of temperature variations from climatically homogeneous regions based on long-term persistence. in International Journal of Climatology. 2021;41(4):2660-2678.
doi:https://doi.org/10.1002/joc.6982 .

Sarvan, Darko, Tošić, Milica, Borovinić, Marko, Blesić, Suzana, "Classification of time series of temperature variations from climatically homogeneous regions based on long-term persistence" in International Journal of Climatology, 41, no. 4 (2021):2660-2678,
https://doi.org/https://doi.org/10.1002/joc.6982 . .