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

机译:利用气候观测和WRF模型数据分析亚美尼亚冬季冷空气池

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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.
机译:在过去的20年内,在亚美尼亚增加了20 %,在过去20年内增加了极端天气事件,包括强霜,冷波,热浪,干旱,冰雹,强风在亚美尼亚增加了20 %。本文研究了冬季亚美尼亚亚美尼亚亚美尼亚亚马尔谷冷空气池的形成。使用来自亚美尼亚的47个气象站的观察数据,并在1966-2017期间评估每日低于-10°C的最低温度。 2016年12月被认为是第四个最冷的月份,经过2013年,2002年和1973年。本研究的重点领域是Ararat Valley的低升高的盆地,冬季温度制度的气候分析已经进行。 12月的月平均气温明显低于正常值,特别是ararat谷的低升高的部分。源于天气研究和预测模型(WRF)的24小时模拟,用于评估WRF模型在2016年12月20日在2016年12月20日观察到的ararat谷上重现强烈的冷空气池(帽)的能力,当最小温度降至-20°时C和更低。 WRF模型适用于9至3km和65垂直级别的空间分辨率,基于全球预测系统模型(GFS)初始和边界条件,在0.25×0.25°。解析度。

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