中亚地区天气类型及其频率——基于ERA-Interim的月度气候变率和北方寒冷季节变化分析

S. Schmidt, L. Gerlitz
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引用次数: 0

摘要

中亚的气候研究通常以气象观测分析为基础。然而,山区数据的缺乏造成了不确定性,因此,中亚气候变化和变率的规模仍在争论中。此外,对观测资料的调查只允许对近地表气候进行评估。由于对流层上层的气象条件通常是未知的,导致观测到的气候变化的大气机制仍未得到检验。在这里,作者提出了一项基于ERA-Interim再分析的中亚气候变化和变率的研究,该再分析提供了60个大气水平的各种气象参数的网格数据集。为了研究寒带季节的气候条件,对500hPa位势高度场进行了客观的天气类型分类。结果表明,中亚暖湿条件与南亚上空的反气旋异常或西风急流南移有关。南亚上空的干燥条件伴随着气旋异常。研究表明,小波的组成对气温和降水的月、季特征有强烈的影响,而小波频率的变化在一定程度上引发了气候趋势的变化。约50%的季节温度趋势和60%的3月趋势可以用WT频率变化来解释。虽然观测到的季节降水趋势不能用WT频率变化来解释,但11月的正趋势似乎伴随着中亚高压频率的减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weather types and their frequencies over Central Asia –an ERA-Interim based analysis of monthly climate variability and change for the boreal cold season
Climate research in Central Asia is usually based on the analysis of meteorological observations. However, data scarcity in mountain regions causes uncertainties and, thus, the magnitude of climate change and variability in Central Asia is still under debate. Furthermore, the investigation of observations does only allow an assessment of the near surface climate. Since the meteorological conditions in the upper troposphere are generally unknown, the atmospheric mechanisms leading to observed climate changes remain unexamined. Here, the authors present a study of climate change and variability in Central Asia based on the ERA-Interim reanalysis, which provides gridded data-sets of various meteorological parameters for 60 atmospheric levels. In order to investigate the climatic conditions during the boreal cold season, the authors apply an objective weather type classification to 500hPa geopotential height fields. The results show that warm and wet conditions in Central Asia are associated with an anticyclonic anomaly over South Asia or a southward shift of the westerly jet stream. Dry conditions are accompanied by a cyclonic anomaly over South Asia. The authors show that the WT composition strongly affects the monthly and seasonal temperature and precipitation characteristics and that prevailing climatic trends are partially triggered by changing WT frequencies. About 50% of the seasonal temperature trend and 60% of the trend in March can be explained by WT frequency changes. While the observed seasonal precipitation trends cannot be explained by WT frequency changes, a positive trend in November seems to be accompanied by a decreasing frequency of high pressure over Central Asia.
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