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Gridded Snow Water Equivalent Reconstruction for Utah Using Forest Inventory and Analysis Tree-Ring Data

机译:利用森林资源调查和树状数据分析犹他州的网格化雪水当量重建

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Snowpack observations in the Intermountain West are sparse and short, making them difficult for use in depicting past variability and extremes. This study presents a reconstruction of April 1 snow water equivalent (SWE) for the period of 1850–1989 using increment cores collected by the U.S. Forest Service, Interior West Forest Inventory and Analysis program (FIA). In the state of Utah, SWE was reconstructed for 38 snow course locations using a combination of standardized tree-ring indices derived from both FIA increment cores and publicly available tree-ring chronologies. These individual reconstructions were then interpolated to a 4-km grid using an objective analysis with elevation correction to create an SWE product. The results showed a significant correlation with observed SWE as well as good correspondence to regional tree-ring-based drought reconstructions. Diagnostic analysis showed statewide coherent climate variability on inter-annual and inter-decadal time-scales, with added geographical details that would not be possible using courser pre-instrumental proxy datasets. This SWE reconstruction provides water resource managers and forecasters with better spatial resolution to examine past variability in snowpack, which will be important as future hydroclimatic variability is amplified by climate change.
机译:西山间的积雪观测稀疏且短,难以描述过去的变化和极端情况。本研究使用美国森林服务局,西部内陆森林清单与分析计划(FIA)收集的增量核心,对1850-1989年4月1日的雪水当量(SWE)进行了重建。在犹他州,使用从FIA增量核心和公开可用的树轮年表中获得的标准化树轮指数的组合,在38个雪道位置重建了SWE。然后使用带有高程校正的客观分析将这些单独的重建值插值到4公里的网格中,以创建SWE产品。结果显示与观测到的SWE显着相关,并且与基于区域年轮的干旱重建具有良好的对应关系。诊断分析显示,州际气候在年际和年代际尺度上具有连贯性,并具有附加的地理细节,而这些细节无法使用课程前仪器代用数据集来实现。这项SWE重建为水资源管理者和预报员提供了更好的空间分辨率,以检查积雪中的过去变化,这对于未来的气候变化将加剧未来的水文气候变化具有重要意义。

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