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| DOI | 10.1016/j.dynatmoce.2021.101219 |
| Impact of physical parameterizations on simulation of the Caspian Sea lake-effect snow | |
| Ghafarian P. | |
| 发表日期 | 2021 |
| ISSN | 03770265 |
| 卷号 | 94 |
| 英文摘要 | The southwestern coast of the Caspian Sea often experiences heavy snowfall during winter season due to the lake effect. The accurate estimation of snowfall in this region is still a challenge for weather forecasters. This study attempts to investigate the simulation of lake-effect snow (LES) event occurring along the southwest coastline of the Caspian Sea from 31 January to 4 February 2014 using Weather Research and Forecasting (WRF) model. The study evaluates the sensitivity of four microphysics (WSM6, Goddard, Morrison, and Thompson) schemes and two planetary boundary layer (PBL) schemes (the Yonsei University (YSU) and the Mellor-Yamada-Janjic (MYJ)), yielding eight distinct combinations. The results indicated that all the simulations overestimated the precipitation. However, the best configurations for estimation of precipitation and snow in terms of their spatiotemporal variation were the Morrison-MYJ and the Goddard-MYJ, respectively. Analyses of the vertical profiles of hydrometeor species showed that the combination of Goddard and MYJ schemes created more snow and graupel than the other configurations. Although the combination of WSM-MYJ schemes revealed the least bias, it was not appropriate for the prediction of snow. A comparison of the two boundary layer schemes showed that the MYJ scheme simulated better intensity and distribution of precipitation than the YSU scheme compared to observations. Also, the maximum radar reflectivity of the model output was useful for identifying the location of maximum precipitation. © 2021 Elsevier B.V. |
| 英文关键词 | Caspian Sea; Hydrometeors; Lake-effect snow; Parameterization; Radar; WRF model |
| 语种 | 英语 |
| scopus关键词 | Boundary layer flow; Boundary layers; Lakes; Snow; Accurate estimation; Heavy snowfall; Planetary boundary layers; Radar reflectivities; Spatio-temporal variation; Vertical profile; Weather research and forecasting models; Yonsei University; Weather forecasting; hydrometeorology; parameterization; precipitation assessment; radar; snow; spatial variation; temporal variation; weather forecasting; Caspian Sea |
| 来源期刊 | Dynamics of Atmospheres and Oceans
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/178234 |
| 作者单位 | Iranian National Institute for Oceanography and Atmospheric Science, No.3, Etemad Zadeh St., Fatemi Ave., Tehran, IR 1411813389, Iran |
| 推荐引用方式 GB/T 7714 | Ghafarian P.. Impact of physical parameterizations on simulation of the Caspian Sea lake-effect snow[J],2021,94. |
| APA | Ghafarian P..(2021).Impact of physical parameterizations on simulation of the Caspian Sea lake-effect snow.Dynamics of Atmospheres and Oceans,94. |
| MLA | Ghafarian P.."Impact of physical parameterizations on simulation of the Caspian Sea lake-effect snow".Dynamics of Atmospheres and Oceans 94(2021). |
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