...
首页> 外文期刊>Journal of hydrometeorology >An Assessment of Concurrency in Evapotranspiration Trends across Multiple Global Datasets
【24h】

An Assessment of Concurrency in Evapotranspiration Trends across Multiple Global Datasets

机译:跨越多个全球数据集的蒸发趋势并发的评估

获取原文
获取原文并翻译 | 示例
           

摘要

While broad consensus exists that temperatures are increasing, there is uncertainty surrounding the direction of change manifested in actual evapotranspiration (ET) worldwide. This study assessed trends in ET across the land surface using 11 widely used global datasets for a 32-yr study period. To demonstrate the agreement and disagreement of trends, the spatial distribution, concurrence, correlation, and similitude were estimated. The results showed that while the global average trend in ET is -0.072mm month(-1) yr(-1), the trends from individual datasets show a wide range of differences in magnitudes and directions. The considerable differences in the trends in each dataset were found to be weakly correlated with each other and highly divergent in their distribution and direction. No single dataset was sufficiently similar to another to offer a fair representation of trends. In a dynamic trend analysis using a 10-yr moving window over the study period, high concurrence in the significant trends throughout the datasets was found to be rare for each time period. In general, the global data concurrence became negative by 1997 but rebounded to positive toward the end of the study period. In terms of spatial tendency, some regions were more prone to change the direction of their significant trends within the study period. This result shows a high inconsistency in the location and direction of significant ET trends, implying that selection of an ET dataset should consider its spatiotemporal uncertainty before use for any water balance study aiming to infer hydrological change over time.
机译:虽然人们普遍认为气温正在上升,但全球实际蒸散量(ET)的变化方向仍存在不确定性。本研究使用11个广泛使用的全球数据集评估了32年研究期间陆地表面ET的趋势。为了证明趋势的一致性和不一致性,估计了空间分布、一致性、相关性和相似性。结果表明,虽然ET的全球平均趋势为-0.072毫米月(-1)年(-1),但来自各个数据集的趋势在量级和方向上显示出广泛的差异。研究发现,每个数据集中趋势的显著差异相互之间的相关性较弱,且在分布和方向上存在很大差异。没有一个数据集与另一个数据集足够相似,能够公平地反映趋势。在研究期间使用10年移动窗口进行的动态趋势分析中,发现在每个时间段内,整个数据集的显著趋势高度一致是罕见的。总的来说,到1997年,全球数据一致性变为负值,但在研究期结束时反弹为正值。在空间趋势方面,一些地区更容易在研究期间改变其重要趋势的方向。这一结果表明,在显著的ET趋势的位置和方向上存在高度不一致性,这意味着选择ET数据集应该考虑其时空不确定性,然后用于任何水平衡研究,以推断随时间变化的水文变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号