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Open AccessArticle

The Identification of Iran’s Moisture Sources Using a Lagrangian Particle Dispersion Model

1
Department of Geology, Faculty of Sciences, Shiraz University, Shiraz 71946-84695, Iran
2
Environmental Physics Laboratory (EphysLab), Facultad de Ciencias, Universidade de Vigo, 32004 Ourense, Spain
*
Author to whom correspondence should be addressed.
Atmosphere 2018, 9(10), 408; https://doi.org/10.3390/atmos9100408
Received: 28 August 2018 / Revised: 10 October 2018 / Accepted: 11 October 2018 / Published: 17 October 2018
(This article belongs to the Section Meteorology)
Iran has faced many water shortage crises in the past. Iran’s moisture sources for precipitation were identified by Lagrangian approach using the FLEXible PARTicle dispersion model (FLEXPART) v9.0 model. The results demonstrate that Iran receives its moisture from both continental and oceanic sources. During the wet season, moisture uptake from the Arabian Sea, the Persian Gulf, and the Mediterranean Sea is dominant, while during the dry season, the role of the Red Sea, the Caspian Sea, and the Persian Gulf is intensified. Studying drought conditions by comparing 1-month, 6-month, and 12-month standardized precipitation index (SPI) with (E-P) values of oceanic and continental moisture sources (E stands for the evaporation and P the precipitation) using multiregression model demonstrates that among oceanic sources the Arabian Sea, the Persian Gulf, the Mediterranean Sea, and the Indian Ocean affect SPI values and among continental sources, moisture from bare grounds and cultivated lands influences SPI values during wet season. However, no correlation exists between oceanic and continental (E-P) and SPI values during the dry season. The results obtained by this study can be used by meteorologists and hydrology scientists for future water management programmes in Iran. View Full-Text
Keywords: drought conditions; FLEXPART; Iran; Lagrangian analysis; SPI drought conditions; FLEXPART; Iran; Lagrangian analysis; SPI
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MDPI and ACS Style

Heydarizad, M.; Raeisi, E.; Sori, R.; Gimeno, L. The Identification of Iran’s Moisture Sources Using a Lagrangian Particle Dispersion Model. Atmosphere 2018, 9, 408.

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