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北美洲山间西部冬季降水的厄尔尼诺遥相关的地形放大作用。

Orographic amplification of El Niño teleconnections on winter precipitation across the Intermountain West of North America.

作者信息

Stagge James H, Torbenson Max C A, Sung Kyungmin, Phillips Benjamin, Kingston Daniel G

机构信息

Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, OH USA.

Department of Geography, Johannes Gutenberg University, Mainz, Germany.

出版信息

Nat Water. 2023;1(12):1016-1026. doi: 10.1038/s44221-023-00163-9. Epub 2023 Dec 4.

DOI:10.1038/s44221-023-00163-9
PMID:38666263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11041804/
Abstract

A large proportion of western North America experiences regular water stress, compounded by high seasonal and interannual variability. In the Intermountain West region, the El Niño/Southern Oscillation (ENSO) is a critical control on winter precipitation, but the nature of this signal is entangled with a combination of orographic effects and long-term climate trends. This study employs a spatially distributed, nonlinear spline model to isolate ENSO impacts from these other factors using gauge-based observations starting in 1871. In contrast to previous modelling approaches, our approach uses original gauge data, without shortening the record to accommodate a common period. This enables more detailed separation of ENSO effects from the confounding influence of topography and long-term trends, whereas the longer time frame permits more robust correlation with the ENSO signal. Here we show that the complex topography of the Intermountain West exaggerates the underlying ENSO signal, producing a 2.3-5.8 times increase in the range of ENSO-induced precipitation changes along high-elevation western slopes relative to lower elevations. ENSO effects on winter precipitation can be as large as ± 100 mm at high elevations. Further, our approach reveals that the previously recognized dipolar pattern of positive (negative) association of ENSO with precipitation in the south (north) manifests as an incremental relationship in the south but as a near-binary switch in effects between El Niño and La Niña in the north. The location and extent of the strongest precipitation differences vary during the positive and negative ENSO phases within each region. The intricacies of these spatial- and elevation-based modulations of ENSO impacts are especially informative for the northern centre of this dipole, where ENSO-precipitation relationships have previously been difficult to resolve.

摘要

北美西部大部分地区经常面临水资源紧张问题,且季节性和年际变化较大,使情况更加复杂。在山间西部地区,厄尔尼诺/南方涛动(ENSO)是冬季降水的关键控制因素,但该信号的性质与地形效应和长期气候趋势交织在一起。本研究采用空间分布式非线性样条模型,利用1871年以来基于雨量计的观测数据,将ENSO的影响与其他因素隔离开来。与以往的建模方法不同,我们的方法使用原始雨量计数据,无需缩短记录以适应共同的时间段。这使得能够更详细地将ENSO的影响与地形和长期趋势的混杂影响区分开来,而更长的时间框架则允许与ENSO信号有更强健的相关性。我们在此表明,山间西部复杂的地形夸大了潜在的ENSO信号,导致相对于低海拔地区,ENSO引起的降水变化范围在西部高海拔山坡上增加了2.3至5.8倍。在高海拔地区,ENSO对冬季降水的影响可达±100毫米。此外,我们的方法还揭示,此前公认的ENSO与南部(北部)降水的正(负)相关偶极模式,在南部表现为增量关系,而在北部,厄尔尼诺和拉尼娜之间的影响则近乎二元切换。每个区域内ENSO正负相位期间,最强降水差异的位置和范围各不相同。这些基于空间和海拔的ENSO影响调制的复杂性,对于这个偶极的北部中心尤其具有参考价值,此前该地区的ENSO与降水关系一直难以厘清。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c0/11041804/f2e2f32a53cf/44221_2023_163_Fig13_ESM.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c0/11041804/a024f81312d2/44221_2023_163_Fig6_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c0/11041804/774195415c92/44221_2023_163_Fig7_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c0/11041804/3d8bcc08ec44/44221_2023_163_Fig8_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c0/11041804/a3eeec1697bc/44221_2023_163_Fig9_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c0/11041804/40a5645f6c96/44221_2023_163_Fig10_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c0/11041804/a12c901c0a6b/44221_2023_163_Fig11_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c0/11041804/e88988b4912c/44221_2023_163_Fig12_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27c0/11041804/f2e2f32a53cf/44221_2023_163_Fig13_ESM.jpg

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本文引用的文献

1
What will it take to stabilize the Colorado River?要稳定科罗拉多河需要采取什么措施?
Science. 2022 Jul 22;377(6604):373-375. doi: 10.1126/science.abo4452. Epub 2022 Jul 21.
2
Future global urban water scarcity and potential solutions.未来全球城市水资源短缺及潜在解决方案。
Nat Commun. 2021 Aug 3;12(1):4667. doi: 10.1038/s41467-021-25026-3.
3
On the essentials of drought in a changing climate.论气候变化下干旱的本质。
Science. 2020 Apr 17;368(6488):256-260. doi: 10.1126/science.aaz5492.
4
Hierarchical generalized additive models in ecology: an introduction with mgcv.生态学中的分层广义相加模型:使用mgcv的介绍
PeerJ. 2019 May 27;7:e6876. doi: 10.7717/peerj.6876. eCollection 2019.
5
El Niño-Southern Oscillation complexity.厄尔尼诺-南方涛动复杂性。
Nature. 2018 Jul;559(7715):535-545. doi: 10.1038/s41586-018-0252-6. Epub 2018 Jul 25.
6
A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950-2013.1950-2013 年墨西哥、美国和加拿大的空间综合水文气象数据集。
Sci Data. 2015 Aug 18;2:150042. doi: 10.1038/sdata.2015.42. eCollection 2015.
7
The missing mountain water: slower westerlies decrease orographic enhancement in the Pacific Northwest USA.缺失的山地水源:美国太平洋西北地区西风减弱导致地形抬升作用减弱。
Science. 2013 Dec 13;342(6164):1360-4. doi: 10.1126/science.1242335. Epub 2013 Nov 29.
8
Roadmap for sustainable water resources in southwestern North America.西南北美可持续水资源路线图。
Proc Natl Acad Sci U S A. 2010 Dec 14;107(50):21300-5. doi: 10.1073/pnas.1005473107. Epub 2010 Dec 13.
9
Generalized additive models for medical research.医学研究中的广义相加模型。
Stat Methods Med Res. 1995 Sep;4(3):187-96. doi: 10.1177/096228029500400302.