利用气候观测和WRF模式资料分析亚美尼亚冬季冷空气池

H. Melkonyan, A. Gevorgyan, S. Sargsyan, V. Sahakyan, Z. Petrosyan, Hasmik Panyan, R. Abrahamyan, H. Astsatryan, Yuri Shoukorian
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摘要

极端天气事件的数量,包括强霜冻、寒潮、热浪、干旱、冰雹、强风,在过去20年里在亚美尼亚增加了20%。本文研究了亚美尼亚阿拉拉特河谷冬季冷空气池的形成。利用亚美尼亚47个气象站的观测数据,评估了1966-2017年期间低于- 10°C的日最低气温。2016年12月被认为是继2013年、2002年和1973年之后第四冷的月份。本研究的重点区域是阿拉拉特河谷的低海拔盆地,对其进行了冬季温度状态的气候学分析。12月的月平均气温明显低于正常值,特别是在阿拉拉特山谷的低海拔地区。使用天气研究与预报模型(WRF)的24小时模拟来评估WRF模型对2016年12月20日观测到的阿拉拉特山谷强冷空气池(CAP)的再现能力,当时最低气温降至- 20°C或更低。WRF模式的空间分辨率为9 km和3 km,垂直高度为65个,基于0.25×0.25度分辨率的全球预报系统模式(GFS)初始和边界条件。
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An analysis of wintertime cold-air pool in Armenia using climatological observations and WRF model data
The number of extreme weather events including strong frosts, cold waves, heat waves, droughts, hails, strong winds has increased in Armenia by 20% during the last 20 years. The paper studies the formation of cold-air pools in Ararat Valley, Armenia during the winter season. Observational data from 47 meteorological stations of Armenia were used, and daily minimum temperatures lower than −10 °C were assessed over the period 1966–2017. December, 2016 was considered as the 4-th coldest month, after the years 2013, 2002 and 1973. The focus area of this study is the low-elevated basin of Ararat Valley for which climatological analysis of winter temperature regime has been performed. Monthly average temperatures for December were significantly below normal values, particularly, for low-elevated part of Ararat Valley. 24-hour simulations derived from Weather Research and Forecasting model (WRF) were used to assess the WRF model's capabilities to reproduce strong cold-air pool (CAP) over the Ararat Valley observed on 20 December 2016 when minimum temperatures decreased up to −20 °C and lower. The WRF model was applied with spatial resolutions of 9 and 3 km and 65 vertical levels based on Global Forecast System model's (GFS) initial and boundary conditions at 0.25×0.25 deg. resolution.
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