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A North American regional reanalysis climatology of the Haines Index.

机译:Haines指数在北美的区域再分析气候。

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A warm-season (May through October) Haines Index climatology is derived using 32-km regional reanalysis temperature and humidity data from 1980 to 2007. We compute lapse rates, dewpoint depressions, Haines Index factors A and B, and values for each of the low-, mid- and high-elevation variants of the Haines Index. Statistical techniques are used to investigate the spatial and temporal variability of the index across North America. The new climatology is compared with a previous climatology derived from 2.5 degrees (~280 km) global reanalysis data. Maps from the two climatologies are found to be very similar for most of North America. The largest differences appear along the eastern coastline and in regions of large elevation gradients, where the orography in the 32-km climatology is better resolved than that of the 2.5 degrees climatology. In coastal areas of eastern North America and where there is steeply sloping terrain, the new climatology can augment the information from the 2.5 degrees climatology to help analyse the performance and interpret the results of the Haines Index in these regions. A linear trend analysis of the total number of high-Haines Index days occurring in each warm season reveals no significant linear trends over the 28-year data period.
机译:使用1980年至2007年的32公里区域重新分析温度和湿度数据得出暖季(5月至10月)的海恩斯指数气候。我们计算出流失率,露点降低,海恩斯指数因子A和B以及每个指数的值Haines索引的低,中和高海拔变体。统计技术用于调查整个北美地区索引的时空变异性。将新的气候学与以前的气候进行了比较,以前的气候学是根据2.5度(〜280 km)的全球再分析数据得出的。在北美大部分地区,发现两种气候的地图非常相似。最大的差异出现在东部海岸线和海拔高度梯度较大的地区,在32 km的气候学中,相对于2.5度的气候学,地理学的分辨力更好。在北美东部沿海地区和陡峭的地形中,新的气候学可以补充来自2.5度气候学的信息,以帮助分析这些地区的性能并解释Haines指数的结果。对每个温暖季节发生的高海因指数天总数的线性趋势分析显示,在28年的数据期间内,没有明显的线性趋势。

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