Analysis of the Long-Term Trend of Temperature, Precipitation, and Dominant Atmospheric Phenomena in Lake Urmia

Ghafarian, Parvin; Tajbakhsh, Sahar; Delju, Amir H.

doi:10.1007/698_2021_740

Cited by 6 publications

(2 citation statements)

References 38 publications

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“…In the next step, the Weather Research and Forecasting (WRF) model was run for simulations of the 10 m wind speed and direction around the wetlands during 2005-2015 (11 years) and its outputs were compared against measured wind speeds and directions, aiming to investigate the accuracy of the WRF performance. Although previous studies have separately analyzed long-term changes in dust presence over these two dried lake beds [63][64][65][66][67], the current work provides a comprehensive analysis combining ground data and the WRF model's simulated wind for a long period, aiming to ascertain the role of wind on dust emissions, as well as the accuracy of the wind simulations.…”

Section: Introductionmentioning

confidence: 99%

The Importance of Wind Simulations over Dried Lake Beds for Dust Emissions in the Middle East

Hamzeh,

Abadi,

Kaskaoutis

et al. 2023

Atmosphere

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Dust storms are one of the major environmental hazards affecting the Middle East countries, and largely originate in vast deserts and narrow dried lake beds. This study analyzes the inter-annual variation in dust weather conditions from 2000 to 2020 using data obtained from ten meteorological stations located around dried (completely or partly) lakes in Northwest (Urmia Lake) and South (Bakhtegan Lake) Iran. Since the wind regime is one of the most important factors controlling dust emissions in the dust source areas, wind speed simulations from the Weather Research and Forecasting (WRF) Model for 134,113 grid points covering the Middle East area, with a resolution of 5 km, were analyzed and compared with wind measurements at the stations around Urmia and Bakhtegan Lakes from 2005 to 2015. The analysis shows that the annual number of dust days was highly variable, presenting a significant increase at the stations around Urmia Lake during 2008–2011 and at the stations around Bakhtegan Lake in 2007–2012. Eleven years of WRF simulations of the mean diurnal wind patterns revealed that the highest 10 m wind speed occurred mostly around the local noon (12 to 15 UTC), generally coinciding with the majority of the reported dust codes within this time frame, as a result of the association between wind speed and dust emissions (dust weather conditions) around these lake basins. Consequently, accurate wind simulation has high importance for unbiased numerical prediction and forecasting of dust conditions. The comparison between the measured mean monthly 10 m wind speed and WRF-simulated 10 m wind speed revealed that the model overestimated wind data in all the stations around the Bakhtegan Lake but performed better at reconstructing the wind speeds at stations around Urmia Lake. Furthermore, notable differences were observed between measured and simulated wind directions, thus leading to uncertainties in the simulations of the dust-plume transport.

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Section: Introductionmentioning

confidence: 99%

The Importance of Wind Simulations over Dried Lake Beds for Dust Emissions in the Middle East

Hamzeh,

Abadi,

Kaskaoutis

et al. 2023

Atmosphere

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“…The effects of climate change have recently led researchers to trend analysis studies [1]. Researchers have conducted numerous studies to identify the impact of climate change on time series of different variables such as water quality [2,3], wave height [4], air temperature [5][6][7][8][9][10], precipitation [8,11,12], streamflow [13,14], and evaporation [15]. Precipitation is a significant variable for determining the regional climate and designing hydraulic structures [16].…”

Section: Introductionmentioning

confidence: 99%

Trends of High and Low Values of Annual and Seasonal Precipitation in Turkey

Nacar

2023

Sustainability

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The exploration of precipitation data trends using innovative analysis methods is anticipated to offer significant contributions to sustainability across various domains, including water resources management, agricultural planning, climate change understanding, environmental protection, risk assessment, and preparedness. This study employs an improved visualization of the innovative trend analysis (IV-ITA) method for detecting annual and seasonal trends in precipitation variables across 194 stations in Turkey over the period 1969–2020. The outcomes derived from the IV-ITA method were further juxtaposed with the results obtained from the classical Mann–Kendall (MK) test. Using the MK test, statistically significant increasing trends were detected in the annual pattern along the northern coasts of Turkey. Based on the results obtained from the IV-ITA, substantial decreasing trends were identified in the basins within the Southeastern Anatolia Region of Turkey. Conversely, an increasing trend was observed in the basins situated in the northwest. It was also established that an increasing trend was observed throughout Turkey, except for some stations in the low-data group. The most significant increasing trend was noted in the basins along the southern coastline, characterized by the prevalence of the Mediterranean climate. In the high-data group, an increase of up to 50% was noted along the southwest coast. Upon comparing the outcomes derived from the IV-ITA method with those obtained using the MK test, it becomes apparent that the IV-ITA yields significantly more detailed results than the MK test. Additionally, applying the IV-ITA method in climate-sensitive regions and basins is envisioned to enhance the accuracy of assessments, foster a sustainable environment, and improve the effective management of water resources.

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How Climate Change and Human Interaction Alter Chemical Regime in Salt Lakes, Case Study: Lake Urmia, Aral Sea, the Dead Sea, and Lake Issyk-Kul

Andrulionis

Jafari²,

Lahijani

et al. 2021

The Handbook of Environmental Chemistry

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Analysis of the Long-Term Trend of Temperature, Precipitation, and Dominant Atmospheric Phenomena in Lake Urmia

Cited by 6 publications

References 38 publications

The Importance of Wind Simulations over Dried Lake Beds for Dust Emissions in the Middle East

The Importance of Wind Simulations over Dried Lake Beds for Dust Emissions in the Middle East

Trends of High and Low Values of Annual and Seasonal Precipitation in Turkey

How Climate Change and Human Interaction Alter Chemical Regime in Salt Lakes, Case Study: Lake Urmia, Aral Sea, the Dead Sea, and Lake Issyk-Kul

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