Next Article in Journal
Temporal Trends in Heat-Related Mortality: Implications for Future Projections
Previous Article in Journal
Closing the N-Budget: How Simulated Groundwater-Borne Nitrate Supply Affects Plant Growth and Greenhouse Gas Emissions on Temperate Grassland
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Atmosphere 2018, 9(10), 408; https://doi.org/10.3390/atmos9100408

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.
Received: 28 August 2018 / Revised: 10 October 2018 / Accepted: 11 October 2018 / Published: 17 October 2018
(This article belongs to the Section Climatology and Meteorology)
Full-Text   |   PDF [6260 KB, uploaded 17 October 2018]   |  

Abstract

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
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top