Dust dry deposition over Israel

Pavel Kishcha*, Evgeni Volpov, Boris Starobinets, Pinhas Alpert, Slobodan Nickovic

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Similar quasiperiodic year-to-year variations of dust dry deposition (DDD) with a two-three-year period were found over Israel and north-east Africa. This phenomenon of quasiperiodic interannual variations of DDD has not been discussed in previous publications. Moreover, similar seasonal variations of DDD were found over both Israel and north-east Africa, characterized by significant dust deposition in spring and a decrease in DDD from spring to autumn. These findings indicate the existence of the same causal factors for interannual and seasonal variations of DDD over the two regions, such as similar surface winds created by Mediterranean cyclones. Daily runs of the Dust REgional Atmospheric Model (DREAM) at Tel Aviv University from 2006 to 2019 were used to investigate the main features of the spatio-temporal distribution of dust dry deposition in the eastern Mediterranean, with a focus on Israel. DREAM showed that, on average, during the 14-year study period, in the winter, spring, and summer months, the spatial distribution of monthly-accumulated DDD over Israel was non-uniform with the maximum of DDD over southern Israel. In the autumn months, DREAM showed an increase in DDD over northern Israel, resulting in an almost uniform DDD pattern. The knowledge of DDD spatio-temporal distribution is helpful for understanding the negative effects of DDD on the performance of solar panels and on insulator flashover in the Israel power electric network.

Original languageEnglish
Article number197
JournalATMOSPHERE
Volume11
Issue number2
DOIs
StatePublished - 1 Feb 2020

Funding

FundersFunder number
EU COST
European Cooperation in Science and TechnologyCA16202

    Keywords

    • Desert dust
    • Dust dry deposition
    • Eastern mediterranean
    • Quasiperiodic interannual variations
    • Regional modeling

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