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The Influence of Changes in Cloud Cover on Recent Surface Temperature Trends in the Arctic

机译:云量的变化对北极地区近期表面温度趋势的影响

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摘要

A method is presented to assess the influence of changes in Arctic cloud cover on the surface temperature trend, allowing for a more robust diagnosis of causes for surface warming or cooling. Seasonal trends in satellite-derived Arctic surface temperature under clear-, cloudy-, and all-sky conditions are examined for the period 1982-2004. The satellite-derived trends are in good agreement with trends in the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product and surface-based weather station measurements in the Arctic. Surface temperature trends under clear and cloudy conditions have patterns similar to the all-sky trends, though the magnitude of the trends under cloudy conditions is smaller than those under clear-sky conditions, illustrating the negative feedback of clouds on the surface temperature trends. The all-sky surface temperature trend is divided into two parts: the first part is a linear combination of the surface temperature trends under clear and cloudy conditions; the second part is caused by changes in cloud cover as a function of the clear-cloudy surface temperature difference. The relative importance of these two components is different in the four seasons, with the first part more important in spring, summer, and autumn, but with both parts being equally important in winter. The contribution of biases in satellite retrievals is also evaluated.
机译:提出了一种评估北极云量变化对表面温度趋势的影响的方法,从而可以更可靠地诊断表面变暖或变冷的原因。在1982年至2004年期间,研究了晴,多云和全天空条件下卫星衍生的北极表面温度的季节性趋势。卫星得出的趋势与北极中欧天气预报中心(ECMWF)重新分析产品和基于地面的气象站测量的趋势高度吻合。晴和多云条件下的地表温度趋势具有与全天候趋势相似的模式,尽管在多云条件下的趋势幅度小于晴空条件下的趋势幅度,说明了云对地表温度趋势的负反馈。全天表面温度趋势分为两部分:第一部分是晴天和阴天条件下表面温度趋势的线性组合;第二部分是由于云层的变化与晴间多云的表面温差的关系所致。这两个组成部分的相对重要性在四个季节中有所不同,第一部分在春季,夏季和秋天更为重要,而在冬季,这两个部分都同样重要。卫星检索中偏差的贡献也得到了评估。

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