An analysis of wintertime cold-air pool in Armenia using climatological observations and WRF model data

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

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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利用气候观测和WRF模式资料分析亚美尼亚冬季冷空气池
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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