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首页> 外文期刊>Scientific reports. >Contiguous US summer maximum temperature and heat stress trends in CRU and NOAA Climate Division data plus comparisons to reanalyses
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Contiguous US summer maximum temperature and heat stress trends in CRU and NOAA Climate Division data plus comparisons to reanalyses

机译:CRU和NOAA气候司数据中连续的美国夏季最高温度和热应力趋势以及与重新分析的比较

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Warming is a major climate change concern, but the impact of high maximum temperatures depends upon the air’s moisture content. Trends in maximum summertime temperature, moisture, and heat index are tracked over three time periods: 1900–2011, 1950–2011, and 1979–2011; these trends differ notably from annual temperature trends. Trends are emphasized from two CRU datasets (CRUTS3.25 and CRUTS4.01) and two reanalyses (ERA-20C and 20CRv2). Maximum temperature trends tend towards warming that is stronger over the Great Lakes, the interior western and the northeastern contiguous United States. A warming hole in the Midwest generally decreases in size and magnitude when heat stress trends are calculated because the region has increasing moisture. CRU and nearly all reanalyses find cooling in the northern high plains that is not found in NOAA Climate Division trends. These NOAA trends are captured better by CRUTS401. Moistening in the northeast amplifies the heat stress there. Elsewhere the moisture trends are less clear. Drying over northern Texas (after 1996) in CRUTS401 translates into decreasing heat stress there (less so in CRUTS325). Though other reanalyses are not intended for long-term trends, MERRA-2 and ERA-Interim match observed trends better than other reanalyses.
机译:气候变暖是主要的气候变化问题,但最高高温的影响取决于空气中的水分含量。在三个时间段内跟踪了夏季最高温度,湿度和热量指数的趋势:1900-2011年,1950-2011年和1979-2011年。这些趋势明显不同于年度温度趋势。从两个CRU数据集(CRUTS3.25和CRUTS4.01)和两个重新分析(ERA-20C和20CRv2)强调了趋势。最高温度趋势趋向于变暖,在大湖区,西部和东北部连续的美国境内,变暖趋势更强烈。当计算热应力趋势时,中西部的一个暖洞的大小和大小通常会减小,因为该地区的水分不断增加。 CRU和几乎所有重新分析都发现北部高平原地区出现了降温,而NOAA气候变化趋势却没有发现降温。这些NOAA趋势可以通过CRUTS401更好地捕获。东北的潮湿加剧了那里的热应力。在其他地方,水分趋势不太明显。在CRUTS401中,得克萨斯州北部的干旱(1996年以后)转化为该州的热应力降低(在CRUTS325中则较小)。尽管其他重新分析不适合长期趋势,但MERRA-2和ERA-Interim匹配观察到的趋势比其他重新分析更好。

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