Extreme climate historical variation based on tree-ring width record in the Tianshan Mountains of northwestern China

Wang, Shengjie; Jiao, Liang; Jiang, Yuan; Chen, Ke; Li, Xiaoping; Qi, Changliang; Xue, Ruhong

doi:10.1007/s00484-020-02003-x

Cited by 5 publications

(3 citation statements)

References 58 publications

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“…The CPC had a similar behaviour to the precipitation data from the weather stations. Brito et al (2019), Wang et al (2020), Coppola et al (2021) and Huarte et al (2021) also used this dataset in their studies.…”

Section: Observational Datamentioning

confidence: 99%

Analysis of climate extremes indices in tropical South America through the RegCM4.7

Silva

Oliveira

Silva

et al. 2023

Intl Journal of Climatology

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In recent decades, the frequency and intensity of extreme weather events induced by global warming have increased significantly, exerting serious impacts on the development of society and ecosystems. Based on low (RCP2.6) and high (RCP8.5) greenhouse gas emissions scenarios from the Intergovernmental Panel on Climate Change, we use the general circulation model HadGEM2‐ES that is part of the Coupled Model Intercomparison Project Phase 5 (CMIP5) to drive the regional climate model RegCM4.7. This study evaluated the ability of both models to simulate (1986–2005) and projection (2080–2099) spatio‐temporal features of extreme indices over tropical South America (TSA). Indices based on precipitation and daily maximum and minimum temperature follow the definitions of the Expert Team on Climate Change Detection and Indices (ETCCDI). In general, the RegCM4.7 reproduces accordingly the spatial distribution of the ETCCDI indices derived from precipitation and temperature on the TSA, in addition to added value to HadGEM2‐ES, especially over regions of complex topography. HadGEM2‐ES performs poorly along the west coast, due to the topography and altitude of the Andes. On the other hand, it demonstrates better performance in the Amazon Basin compared to RegCM4.7. The projection results showed that climate extreme indices based on precipitation and temperature indicate that drought events may advance to the end of the century, showing a spatial pattern that precipitation will be gradually reduced in the Amazon Basin and Northeast region of Brazil. Despite some discrepancies between the models, studies like this one help us to understand how climate change can affect regional planning and development.

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Section: Observational Datamentioning

confidence: 99%

Analysis of climate extremes indices in tropical South America through the RegCM4.7

Silva

Oliveira

Silva

et al. 2023

Intl Journal of Climatology

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“…Existing high‐resolution temperature reconstructions over this region were mainly based on the temperature‐sensitive tree‐ring width records obtained in the deep valleys (<4,000 m a.s.l.) rather than in the high glaciated regions (Huang et al., 2019; Shah et al., 2019; S. Wang et al., 2020; Yadav et al., 2004; Zhu et al., 2021), limiting our understanding of mountainous climate variability. Moreover, these tree‐ring‐based reconstructions preferentially reflect temperature conditions during the growing seasons rather than throughout the year (Anchukaitis et al., 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Existing high-resolution temperature reconstructions over this region were mainly based on the temperature-sensitive tree-ring width records obtained in the deep valleys (<4,000 m a.s.l.) rather than in the high glaciated regions (Huang et al, 2019;Shah et al, 2019;S. Wang et al, 2020;Yadav et al, 2004;Zhu et al, 2021), limiting our understanding of mountainous climate variability.…”

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confidence: 99%

Decadal Temperature Variations Over the Northwestern Tibetan Plateau Deduced From a 489‐Year Ice Core Stable Isotopic Record

Zhang

Pang

et al. 2022

JGR Atmospheres

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Despite a steady increase in atmospheric concentration of anthropogenic greenhouse gases (GHGs), global mean surface temperature has not exhibited a monotonic rising trend over the last 120 years (S.-L. Yao et al., 2017). Instead, it shows prominent decadal variations characterized by two slowdown periods in the mid-20th century and early 21st century and two acceleration periods in the early and late 20th century (D. W. J. Thompson et al., 2010;S.-L. Yao et al., 2017). In the past decades, numerous factors have been proposed to explain the decadal temperature variations, including internal climate variability (e.g., Interdecadal Pacific Oscillation (IPO) and Atlantic Multidecadal Variability (AMV); Dai et al., 2015) and natural cooling effects from volcanic aerosols and consequent dimming of sunlight (Mann et al., 2021;Santer et al., 2014). However, it is worth noting that decadal temperature trends vary in different regions (Jones & Mann, 2004). Such regional variations could be masked by the large-scale temperature trends, because these trends were generated from averages at continental to hemispheric scales (Dai et al., 2015). This could limit our understanding of regional variations of temperature trends, and weaken the reliability of regional climatic predictions. Therefore, it is crucial to obtain detailed information in decadal temperature variations for different regions and gain insights in the underlying mechanisms (H. Xu et al., 2014).With an average elevation of more than 4,000 m above sea level (m a.s.l.) and a total area of ∼2.5 million square kilometers, the Tibetan Plateau (TP) is the most extensive high-elevation area on Earth, and exerts a significant influence on large-scale atmospheric circulation and hydrological cycles, serving as "Asia's Water Tower" (Immerzeel et al., 2010;T. Yao et al., 2012). It is also one of the most sensitive areas to global climate change mainly because of the snow/ice-albedo feedbacks (You et al., 2020). Improved understanding of the dynamics of the decadal temperature variations over the TP is of critical importance not only for the accurate prediction of the climate trajectory for the coming decades, but also to allow stakeholders and/or policymakers to formulate policies and plans regarding water resources, agriculture, energy, insurance, and business (Medhaug et al., 2017). Nevertheless, most existing meteorological records on the TP, especially on the western TP, have limited spatial and temporal coverage (less than 60 years), making it difficult to understand decadal temperature variations. Therefore, it is necessary to reconstruct climate history from high-resolution proxies.

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Maximum July–August temperatures for the middle of the southern Tien Shan inferred from tree-ring latewood maximum densities

Song

Liu

et al. 2022

Int J Biometeorol

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Extreme climate historical variation based on tree-ring width record in the Tianshan Mountains of northwestern China

Cited by 5 publications

References 58 publications

Analysis of climate extremes indices in tropical South America through the RegCM4.7

Analysis of climate extremes indices in tropical South America through the RegCM4.7

Decadal Temperature Variations Over the Northwestern Tibetan Plateau Deduced From a 489‐Year Ice Core Stable Isotopic Record

Maximum July–August temperatures for the middle of the southern Tien Shan inferred from tree-ring latewood maximum densities

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