新趋势使美国干旱监测仪 (USDM) 的解读变得复杂

IF 8.3 Q1 GEOSCIENCES, MULTIDISCIPLINARY AGU Advances Pub Date : 2024-04-25 DOI:10.1029/2023AV001070
Zhiying Li, Jason E. Smerdon, Richard Seager, Noel Siegert, Justin S. Mankin
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引用次数: 0

摘要

有效的干旱管理必须了解当前的干旱监测和评估实践是否以及如何代表了自然发生或气候变化所导致的基本非稳态气候条件。在此,我们研究了美国干旱监测(USDM)所定义的干旱等级的新气候学和相关趋势,自 2000 年以来,该每周产品一直用于为美国的干旱管理提供信息。该产品自 2000 年以来一直被用于美国的干旱管理。USDM 部分根据关键水文气候数量的临界百分位数对干旱强度进行分类。在此,我们评估了过去 23 年中这些由 USDM 定义的干旱阈值百分位数的变化情况,研究了降水、径流、土壤水分 (SM)、陆地蓄水量 (TWS)、水汽压差 (VPD) 和近地表气温。我们的分析表明,在美国的一些地区,干旱等级出现的频率超过了 USDM 定义的阈值百分位数,尤其是在美国西部,在过去的 23 年中,该地区出现了长期干旱。这些趋势也反映在基于百分位数的降水、径流、SM、TWS、VPD 和温度阈值中。我们的研究结果强调,虽然USDM似乎准确地反映了观测到的物理气候的非平稳性,但这种趋势提出了干旱诊断、分类和监测是否以及如何处理长期干湿期间隔或趋势的关键问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Emergent Trends Complicate the Interpretation of the United States Drought Monitor (USDM)

Effective drought management must be informed by an understanding of whether and how current drought monitoring and assessment practices represent underlying nonstationary climate conditions, either naturally occurring or forced by climate change. Here we investigate the emerging climatology and associated trends in drought classes defined by the United States Drought Monitor (USDM), a weekly product that, since 2000, has been used to inform drought management in the United States. The USDM classifies drought intensity based in part on threshold percentiles in key hydroclimate quantities. Here we assess how those USDM-defined drought threshold percentiles have changed over the last 23 years, examining precipitation, runoff, soil moisture (SM), terrestrial water storage (TWS), vapor pressure deficit (VPD), and near-surface air temperature. We also assess underlying trends in the frequency of drought classifications across the U.S. Our analysis suggests that the frequency of drought class occurrence is exceeding the threshold percentiles defined by the USDM in a number of regions in the United States, particularly in the American West, where the last 23 years have emerged as a prolonged dry period. These trends are also reflected in percentile-based thresholds in precipitation, runoff, SM, TWS, VPD, and temperature. Our results emphasize that while the USDM appears to be accurately reflecting observed nonstationarity in the physical climate, such trends raise critical questions about whether and how drought diagnosis, classification, and monitoring should address long-term intervals of wet and dry periods or trends.

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