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Classification of time series of temperature variations from climatically homogeneous regions based on long-term persistence

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2021
Authors
Sarvan, Darko
Tošić, Milica
Borovinić, Marko
Blesić, Suzana
Article (Published version)
Metadata
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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 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.

Keywords:
cyclical consistency of records / DFA2 / DMA and WTS scaling analysis / Hurst space analysis / long-term persistence / relative temporal persistence index
Source:
International Journal of Climatology, 2021, 41, 4, 2660-2678
Publisher:
  • Wiley, Hoboken
Funding / projects:
  • Uncovering information in fluctuating CLimate systems: An oppoRtunity for solving climate modeling nodes and assIst local communiTY adaptation measures (CLARITY) (EU-701785)
  • Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 200015 (University of Belgrade, Institute for Medical Research) (RS-200015)

DOI: 10.1002/joc.6982

ISSN: 0899-8418

WoS: 000606414500001

Scopus: 2-s2.0-85099038920
[ Google Scholar ]
1
URI
http://rimi.imi.bg.ac.rs/handle/123456789/8
Collections
  • Radovi istraživača / Researchers' publications
Institution/Community
Institut za medicinska istraživanja
TY  - 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
UR  - conv_4954
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",
url = "conv_4954"
}
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
conv_4954
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
conv_4954 .
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 .,
conv_4954 .

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