2021
DOI: 10.24996/ijs.2021.62.11(si).29
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Using and Evaluating the Efficiency of GRIMs Model in Making Some Simulations of Weather Variables in Three Countries in Middle East: A Snowfall Case Study

Abstract: Predicting weather by numerical models have been used extensively in research works for Middle East, mostly for dust storms, rain showers, and flash floods with a less deal of interest on snow precipitation. In this study, the Global/Regional Integrated Model System (GRIMs) that was developed in South Korea was used to predict a rare snowfall event occurred in three countries in Middle East (Syria, Jordan and Iraq) located between (25-65 oE; 12-42 oN) in year 2008. The main aim of this study was to test GRIMs … Show more

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Cited by 1 publication
(2 citation statements)
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“…The model does fairly well at simulating synoptic patterns over the region. Abed-Abbas simulated 10 dust storms in Iraq [19], using the Regional Climate Model (RegCM4). Almusawi et al 2021 [19] predicted a rare snowfall event that occurred in three Middle Eastern countries in 2008: Syria, Jordan, and Iraq using the Global/Regional Integrated Model System (GRIMs).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The model does fairly well at simulating synoptic patterns over the region. Abed-Abbas simulated 10 dust storms in Iraq [19], using the Regional Climate Model (RegCM4). Almusawi et al 2021 [19] predicted a rare snowfall event that occurred in three Middle Eastern countries in 2008: Syria, Jordan, and Iraq using the Global/Regional Integrated Model System (GRIMs).…”
Section: Introductionmentioning
confidence: 99%
“…Abed-Abbas simulated 10 dust storms in Iraq [19], using the Regional Climate Model (RegCM4). Almusawi et al 2021 [19] predicted a rare snowfall event that occurred in three Middle Eastern countries in 2008: Syria, Jordan, and Iraq using the Global/Regional Integrated Model System (GRIMs). Dezfuli et al (2014) demonstrate that WRF estimates precipitation more correctly than satellite products, particularly over highlands [20].…”
Section: Introductionmentioning
confidence: 99%