气候变化领域集成服务门户(CCPortal): The influence of Urmia Lake desiccation on an extreme snowfall event: A case study using the WRF-Lake model

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DOI	10.1016/j.atmosres.2024.107327
	The influence of Urmia Lake desiccation on an extreme snowfall event: A case study using the WRF-Lake model
	Rahimian, M.; Siadatmousavi, S. M.; Saeedi, M.
发表日期	2024
ISSN	0169-8095
EISSN	1873-2895
起始页码	303
卷号	303
英文摘要	Urmia Lake in the northwest Iran has undergone significant desiccation in recent decades, shrinking to a much smaller size than its original. This study implements the WRF-Lake coupled modeling system to examine the impacts of the observed physical changes over the Lake during a heavy snowfall event occurred February 1-2, 2017. Modifications are introduced to represent the shrunken, salt-encrusted lake surface and surrounding arid environment through updating land use, soil characteristics, lake size and depth, and albedo data. Experiments incorporating lake-atmosphere coupling and land surface refinements (Lake_CTL, Lake_LULC, Lake_AL) outperform simulations without a lake (WRF_noLake) in reproducing observed precipitation patterns at stations surrounding the Urmia Lake. All simulations underestimate the extreme 290 mm snowfall recorded at the Urmia station; however, the Lake_LULC and Lake_AL improve snowfall representation at other stations around the lake. Regarding snow cover validation, Lake_LULC and Lake_AL exhibit a higher correlation with satellite observations and show a significant improvement in snow detection near Urmia Lake. They have a Probability of Detection (POD) of 0.94 and a Critical Success Index (CSI) of 0.91, compared to a POD of 0.79-0.80 and a CSIs of similar to 0.77 for the default lake model (Lake_CTL) and the WRF_noLake experiments, respectively. Additionally, adjusting the initial lake surface temperature to match observations substantially reduces cold biases in near-surface air temperatures over Urmia Lake. The lack of lake temperature updating in WRF-Lake poses ongoing challenges in the model, though. In summary, this study demonstrates that refining the representations of desiccated lakes and their surroundings in high-resolution coupled models would improve simulations of meteorological processes influenced by lake-atmosphere interactions.
英文关键词	WRF-Lake model; Land cover changes; Synoptic -scale processes; Lake effects; Snow Event; Satellite observations; Model evaluation/performance
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:001217327400001
来源期刊	ATMOSPHERIC RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/303095
作者单位	Iran University Science & Technology
推荐引用方式 GB/T 7714	Rahimian, M.,Siadatmousavi, S. M.,Saeedi, M.. The influence of Urmia Lake desiccation on an extreme snowfall event: A case study using the WRF-Lake model[J],2024,303.
APA	Rahimian, M.,Siadatmousavi, S. M.,&Saeedi, M..(2024).The influence of Urmia Lake desiccation on an extreme snowfall event: A case study using the WRF-Lake model.ATMOSPHERIC RESEARCH,303.
MLA	Rahimian, M.,et al."The influence of Urmia Lake desiccation on an extreme snowfall event: A case study using the WRF-Lake model".ATMOSPHERIC RESEARCH 303(2024).