Regionalization of hydroclimatic variables using Markov random field model for climate change impact assessment

Samantaray, Alok Kumar; Mitra, Adway; Ramadas, Meenu; Panda, Rutuparna

doi:10.1016/j.jhydrol.2021.126071

Cited by 3 publications

(1 citation statement)

References 47 publications

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“…It is the most commonly used method for reducing and assessing the uncertainties associated with predictions of climatic model outputs to provide more information for the understanding of atmospheric mechanisms, which can affect the climate of a region (Abadi et al, 2020). This technique consists of cutting or partitioning an area into homogeneous zones with similar climatic behaviors (Samantaray al., 2021;Cislaghi et al, 2020;Ullah et al, 2020;Abadi et al, 2020;Fathian et al, 2019;Santos et al, 2019;Roushangar et al, 2019;Mrad et al, 2019;Brito et al, 2017;Rau et al, 2017;Lyra et al, 2014). In addition to cluster analysis, multivariate statistical analysis (regional frequency analysis and self-organizing maps or SOMs) (Ullah et al, 2020;Wang and Yin 2019).…”

Section: Introductionmentioning

confidence: 99%

A new regionalization of rainfall patterns based on wavelet transform information and hierarchical cluster analysis in northeastern Algeria

Zerouali

Chettih

Abda

et al. 2022

Theor Appl Climatol

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Section: Introductionmentioning

confidence: 99%

A new regionalization of rainfall patterns based on wavelet transform information and hierarchical cluster analysis in northeastern Algeria

Zerouali

Chettih

Abda

et al. 2022

Theor Appl Climatol

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Incorporating non-stationarity from climate change into rainfall frequency and intensity-duration-frequency (IDF) curves

Schlef

Kunkel

Brown

et al. 2023

Journal of Hydrology

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A new regionalization of rainfall patterns based on wavelet transform information and hierarchical cluster analysis in northeastern Algeria

Zerouali¹,

Chettih²,

Abda³

et al. 2021

Preprint

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Due to its geographical location, Algeria is characterized by high spatiotemporal rainfall variability. In this study, data from 69 rain gauges located in representative humid, semiarid and arid Mediterranean basins in northeastern Algeria were analyzed from 1970–2007 on a monthly scale using continuous wavelet analysis and hierarchical cluster analysis with the aim of regionalizing the rainfall patterns. The analysis shows that northern Algeria (cluster #1), which has a humid climate, is dominated by periodic annual fluctuations in the 8–16-month band. This mode explains most of the total variance, with a contribution between 25 and 60%. In the cluster #2 and cluster #3 regions, the climate varies towards aridity (humid to arid from north to south), and the climate is dominated by long-term periodic phenomena characterizing multiannual fluctuations of 64–128 months to decadal periods greater than 128 months, which explains why the total cumulative contribution exceeds 50% of the total variance. In addition, the regional analysis of the isolated spectral bands of the 3–6-month (3 clusters), 8–16-month (3 clusters), and 1–3-year (4 clusters) scale-average variance revealed, globally and for the different regions, a long period of drought that was most pronounced during the 1970s, 1980s, and 1990s, whereas the wet years were marked by fluctuations that exceeded the 95% confidence level during the study period, with a very remarkable tendency towards wet conditions, particularly since the late 1990s. The obtained results can assist decision-makers in better sustainable development practices, especially in the fields of water resources, agriculture, and energy.

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Regionalization of hydroclimatic variables using Markov random field model for climate change impact assessment

Cited by 3 publications

References 47 publications

A new regionalization of rainfall patterns based on wavelet transform information and hierarchical cluster analysis in northeastern Algeria

A new regionalization of rainfall patterns based on wavelet transform information and hierarchical cluster analysis in northeastern Algeria

Incorporating non-stationarity from climate change into rainfall frequency and intensity-duration-frequency (IDF) curves

A new regionalization of rainfall patterns based on wavelet transform information and hierarchical cluster analysis in northeastern Algeria

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