Extreme Rainfall Indices in Southern Levant and Related Large-Scale Atmospheric Circulation Patterns: A Spatial and Temporal Analysis
Metadatos
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Salameh, Ala; García-Valdecasas Ojeda, Matilde M del Valle; Esteban Parra, María Jesús; Castro Díez, Yolanda; Gámiz Fortís, Sonia RaquelEditorial
MDPI
Materia
Extreme rainfall indices Levant region Trend analysis Teleconnection indices
Fecha
2022-11-22Referencia bibliográfica
Salameh, A.A.M... [et al.]. Extreme Rainfall Indices in Southern Levant and Related Large-Scale Atmospheric Circulation Patterns: A Spatial and Temporal Analysis. Water 2022, 14, 3799. [https://doi.org/10.3390/w14233799]
Patrocinador
FEDER/Junta de Andalucia-Consejeria de Transformacion Economica, Industria, Conocimiento y Universidades P20_00035; Ministry of Science and Innovation through the FEDER funds from the Spanish Pluriregional Operational Program 2014-2020 (POPE), LifeWatch-ERIC action line LifeWatch-2019-10-UGR-01Resumen
This study aims to provide a comprehensive spatio-temporal analysis of the annual and
seasonal extreme rainfall indices over the southern Levant from 1970 to 2020. For this, temporal and
spatial trends of 15 climate extreme indices based on daily precipitation at 66 stations distributed
across Israel and Palestine territories were annually and seasonally analyzed through the nonparametric
Mann–Kendall test and the Sen’s slope estimator. The annual averages for frequency-based
extreme indices exhibited decreasing trends, significantly for the Consecutive Dry Days. In contrast,
the percentiles- and intensity-based extreme indices showed increasing trends, significant for extremely
wet days, Max 1- and 3-day precipitation amount indices. The study area had expanding
periods of extreme dry spells for spring and correspondingly shortening extreme wet spells for spring,
winter and the combined winter–spring. Moreover, most of spring indices showed negative trends.
Conversely, most winter indices displayed positive trends. Regarding the influence of large-scale
circulation patterns, the North Sea Caspian pattern, the Western Mediterranean Oscillation, and
ENSO were the primary regulators of the winter, spring, and autumn extreme indices, respectively.
These findings contribute to a better understanding of extreme rainfall variability in the Levant region
and could be utilized in the management of water resources, drought monitoring, and flood control.