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Comparison of the calculated frost event return period based on copula models under climate change: a case study of Chadegan region in Isfahan province- Iran

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Abstract

Spring frost, is one of the important phenomena that damage agricultural production in cold areas. Predicting the occurrence of frost events can be valuable for managing and mitigating frost risk in orchards. In this study, copula models were applied to calculate the joint bivariate return period of frost event in both historical (1984–2014) and future (2023–2053) periods in Chadegan’s almond orchard. For the future period, a combination of 10 general circulation models (GCMs) from Coupled Model Intercomparison Project phase 6 (CMIP6) under three Shared Socioeconomic Pathway scenarios (SSPs) SSP1-2.6, SSP2-4.5 and SSP5-8.8 was employed using a weighting approach. The results indicated that the Generalized Pareto (GP) and Inverse Gaussian were the best marginal distribution functions of the severity (S) and duration (D), respectively. The Frank copula best explained the relationship between severity and duration of frost event. According to the joint bivariate return period of frost event, the extreme frost occurred more frequently in the future period under three SSPs compared to the historical period. In both historical and future periods, in “AND” mode, the frost event with S ≥ 6 ̊C and D ≥ 4 ̊C days, would be more likely to return in 64.71 years and about 14 years, respectively. In "OR" mode, the joint bivariate return period of mentioned frost event increase slightly in future period (3 years for SSPs) compared to the historical (1.54 years). This probabilistic assessment was pointed as a strong toll for predicting the return period of frost event in Chadegan.

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Data availability

Data is provided within the manuscript and any further data will be available on request.

Abbreviations

GCMs:

General circulation models

CMIP6:

Coupled Model Intercomparison Project Phase 6

SSPs:

Shared socioeconomic pathway scenarios

GPD:

Generalized Pareto Distribution

GCMs:

General circulation models

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Acknowledgements

All research has been done as a PhD thesis at Isfahan University of Technology in Iran (PhD student: Elham Mazaheri, supervisors: Prof. Jahangir Abedi Koupai and Prof. Manouchehr Heidarpour, advisors: Assistant Prof. Alireza Gohari and Assistant Professor. Mohammad Javad Zareian).

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No funding was received for conducting this study.

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Contributions

Author Contributions Conceptualization: E. M. and J. A. K.; Methodology: E. M. and J. A. K.; Formal analysis and investigation: E. M. and J. A. K; Writing original draft preparation: E. M.; Review and Editing: J.A. K., M. H., M. J. Z. and A. G.; Supervision: J. A. K., M. H., M. J. Z. and A. G..

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Correspondence to Jahangir Abedi Koupai.

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Mazaheri, E., Abedi Koupai, J., Heidarpour, M. et al. Comparison of the calculated frost event return period based on copula models under climate change: a case study of Chadegan region in Isfahan province- Iran. Theor Appl Climatol 155, 7651–7661 (2024). https://doi.org/10.1007/s00704-024-05064-9

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  • DOI: https://doi.org/10.1007/s00704-024-05064-9

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