评估气象干旱趋势中十年至百年尺度的非稳态变异性

K. Sung, M. Torbenson, J. Stagge
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摘要

摘要。有迹象表明,气象干旱的参考气候学在季节、十年和百年时间尺度上表现出非平稳性,影响了干旱指数的计算,并可能产生生态和经济后果。对气象干旱气候学 100 年以上的趋势进行分析,有助于更好地理解非平稳变化,最终确定这些变化是在自然变率范围之内还是之外。为了实现这一目标,我们的研究引入了一种新方法,将北美季节降水图集(NASPA)中比例不均的树环代用数据与仪器降水数据集整合在一起,首先对代用数据进行时间降尺度处理,生成有规律的时间序列,然后对气候非平稳性进行建模,同时纠正模型引起的偏差。这种新的建模方法以 3 个月标准化降水指数 (SPI) 为基础,应用于美国大陆的 14 个地点。研究结果表明,与过去 1000 年相比,某些地点最近在仪器显示期间经历了向更干燥或更湿润条件的快速转变,干燥趋势一般出现在西部,而湿润趋势则出现在东部。这项研究还发现,一些地区最近发生了季节性变化,其中南方测站的季节性变化最为显著。我们希望我们的新方法能为结合各种数据集来研究长期降水气候学中的非稳态变异性,以及更详细地确认本文所指出的空间模式奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing decadal- to centennial-scale nonstationary variability in meteorological drought trends
Abstract. There are indications that the reference climatology underlying meteorological drought has shown nonstationarity at seasonal, decadal, and centennial timescales, impacting the calculation of drought indices and potentially having ecological and economic consequences. Analyzing these trends in meteorological drought climatology beyond 100 years, a time frame which exceeds the available period of observation data, contributes to a better understanding of the nonstationary changes, ultimately determining whether they are within the range of natural variability or outside this range. To accomplish this, our study introduces a novel approach to integrate unevenly scaled tree-ring proxy data from the North American Seasonal Precipitation Atlas (NASPA) with instrumental precipitation datasets by first temporally downscaling the proxy data to produce a regular time series and then modeling climate nonstationarity while simultaneously correcting model-induced bias. This new modeling approach was applied to 14 sites across the continental United States using the 3-month standardized precipitation index (SPI) as a basis. The findings showed that certain locations have experienced recent rapid shifts towards drier or wetter conditions during the instrumental period compared to the past 1000 years, with drying trends generally found in the west and wetting trends in the east. This study also found that seasonal shifts have occurred in some regions recently, with seasonality changes most notable for southern gauges. We expect that our new approach provides a foundation for incorporating various datasets to examine nonstationary variability in long-term precipitation climatology and to confirm the spatial patterns noted here in greater detail.
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