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Trends in Precipitation Maxima at U.S. Historical Climatology Network Stations 1893-2010

机译:美国历史气候学网络站降水最大值的趋势1893-2010

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Many recent studies predict changes in annual precipitation patterns and impacts on water supplies based on global climate modeling. This research is less valuable for forecasting changes in severe storms, which is of primary interest for urban infrastructure studies, such as flood control and water quality planning. Examination of extreme rainfall trends over the last century can be an indicator of likely future patterns, and can illuminate deficiencies in available frequency statistics that are usually based on assumed stationarity in the historic data. This study analyzes daily data from 1893 to 2010 for the 1,100-station U.S. Historical Climatology Network (USHCN). Stations were grouped according to nine climate regions for the contiguous US. Each USHCN station dataset was analyzed to identify 1-year and 5-year rainfall at 1-day and 7-day durations. The methodology follows the analysis presented by Kunkel et al. (1998) in an analysis of 1931-1996 data. Each station dataset was considered stationary for establishment of comparative precipitation thresholds. Each partial duration series of maxima was fitted to the generalized extreme value function using CDM Smith's NetSTORM rainfall analysis software to identify station-specific rainfall maxima. In the five eastern-US climatic regions (Northeast, Southeast, East North Central, Central, and South), the annual incidence of 5-year 1-day rainfall in the 40 years since 1970 averages 26 percent higher than in the preceding 77 years. The annual incidence of 5-year 1-day rainfall in the 20 years since 1990 is 38 percent higher than in the preceding 97 years. In the Northwest, Southwest, and West, the annual incidence of 5-year 1-day rainfall is nearly identical for the pre- and post-1970 periods. Comparable trends are apparent even for 1-year 1-day rainfall: the four decades since 1970 have 19 percent more events per year than the preceding eight decades across the Northeast, South, Central, and East North Central regions. Since 1990, there have been 23 percent more 1-year 1-day rainfall events per year than during the previous century in those same regions. Analysis of 7-day rainfall yielded results similar to the 1-day findings in most climate regions. The increases correlate with shifts in annual precipitation - the eastern stations recorded seven percent more precipitation in the four decades since 1970 compared with the prior eight decades, while western stations recorded four percent more precipitation than previously over those same periods. The changes in large storm frequency are greatest in the northeastern quarter of the country; the incidence of 5-year, 1-day events since 1990 compared with the preceding nine decades increased by 51, 39, and 44 percent for the Northeast, Central, and East North Central climatic regions. While these changes may in part be driven by random variation, inter-decadal patterns, and artifacts of the monitoring methodologies, they also indicate larger climatic trends, and demonstrate that the assumption of stationarity in existing extreme rainfall atlases is inappropriate in many places.
机译:最近的许多研究基于全球气候模型预测了年度降水模式的变化及其对水供应的影响。这项研究对于预测暴风雨的变化的价值较小,这对于城市基础设施研究(例如防洪和水质规划)具有重要意义。对上个世纪的极端降雨趋势的检查可以作为未来可能模式的指示,并且可以阐明通常基于历史数据的假定平稳性的可用频率统计数据中的不足。这项研究分析了1,893个站点的美国历史气候学网络(USHCN)从1893年到2010年的每日数据。根据连续美国的9个气候区对气象站进行了分组。分析每个USHCN台站数据集,以识别1天和7天持续时间的1年和5年降雨。该方法遵循Kunkel等人提出的分析。 (1998年)对1931-1996年数据的分析。为了建立可比较的降水阈值,每个台站数据集被认为是静止的。使用CDM Smith的NetSTORM降雨分析软件,将最大值的每个部分持续时间序列拟合到广义极值函数,以识别特定于站点的降雨量最大值。在美国东部的五个气候区域(东北,东南,东部,中北部,中部和南部),自1970年以来的40年中,5年1天的年降雨量平均比前77年高26%。 。自1990年以来的20年中,每年5年1天降雨的年发生率比之前的97年高38%。在西北,西南和西部,1970年之前和之后的5年1天降雨的年发生率几乎相同。即使是1年1天的降雨量,也存在可比的趋势:自1970年以来的四个十年中,东北,南部,中部和东部北部中部地区的事件每年比之前的八十年多19%。自1990年以来,在同一地区,每年的1年1天1天降雨事件比上世纪同期多23%。 7天降雨的分析结果与大多数气候区的1天结果相似。这种增加与年降水量的变化有关-自1970年以来的四个十年中,东部气象站的降水量比前八十年增加了7%,而西部气象站的降水量则比之前同期增加了4%。该国东北部地区大风暴频率的变化最大。 1990年以来的5年1天事件的发生率与之前的9个十年相比,东北,中部和东北部中部气候区分别增加了51%,39%和44%。尽管这些变化可能部分是由随机变化,年代际格局和监测方法的产物驱动的,但它们也表明较大的气候趋势,并表明在许多地方,现有极端降雨图集的平稳性假设是不合适的。

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