Classification of time series of temperature variations from climatically homogeneous regions based on long-term persistence
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2021
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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 prob...ably 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.
Ključne reči:
cyclical consistency of records / DFA2 / DMA and WTS scaling analysis / Hurst space analysis / long-term persistence / relative temporal persistence indexIzvor:
International Journal of Climatology, 2021, 41, 4, 2660-2678Izdavač:
- Wiley, Hoboken
Finansiranje / projekti:
- Uncovering information in fluctuating CLimate systems: An oppoRtunity for solving climate modeling nodes and assIst local communiTY adaptation measures (CLARITY) (EU-H2020-701785)
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200015 (Univerzitet u Beogradu, Institut za medicinska istraživanja) (RS-MESTD-inst-2020-200015)
DOI: 10.1002/joc.6982
ISSN: 0899-8418
WoS: 000606414500001
Scopus: 2-s2.0-85099038920
Institucija/grupa
Institut za medicinska istraživanjaTY - JOUR AU - Sarvan, Darko AU - Tošić, Milica AU - Borovinić, Marko AU - Blesić, Suzana PY - 2021 UR - http://rimi.imi.bg.ac.rs/handle/123456789/8 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. PB - Wiley, Hoboken T2 - International Journal of Climatology T1 - Classification of time series of temperature variations from climatically homogeneous regions based on long-term persistence EP - 2678 IS - 4 SP - 2660 VL - 41 DO - 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.", publisher = "Wiley, Hoboken", journal = "International Journal of Climatology", title = "Classification of time series of temperature variations from climatically homogeneous regions based on long-term persistence", pages = "2678-2660", number = "4", volume = "41", doi = "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 Wiley, Hoboken., 41(4), 2660-2678. 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: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/10.1002/joc.6982 . .