Recent warming evidence inferred from a tree-ring-based winter-half year minimum temperature reconstruction in northwestern Yichang, South Central China, and its relation to the large-scale circulation anomalies

Cai, Qiufang; Liu, Yu; Wang, Yanchao; Ma, Yuchi; Liu, Han

doi:10.1007/s00484-016-1175-2

Cited by 33 publications

(9 citation statements)

References 52 publications

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“…The decadal scale has been the primary interest in paleoclimate studies. Previous studies have revealed that the low-frequency variation in the reconstruction is more reliable than the high-frequency variation [43]. To highlight decadal scale variation, an 11-year moving average was applied in data analysis [44].…”

Section: Methodsmentioning

confidence: 99%

Tree-Ring-Based Drought Reconstruction in Northern North China over the Past Century

Wang

Zhang

Wang³

et al. 2022

Atmosphere

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A tree-ring width chronology was developed from the Chinese pine (Pinus tabuliformis) in northern North China. To acquire a long-term perspective on the history of droughts in this region, the Standardized Precipitation Evapotranspiration Index (SPEI) from August of the previous year to February of the current year was reconstructed for the period of 1903–2012 AD. The reconstruction explained 46.6% of the instrumental records over the calibration period of 1952–2012. Five dry periods (1916–1927, 1962–1973, 1978–1991, 1994–1999 and 2002–2005) and three wet periods (1908–1915, 1928–1961 and 1974–1977) were found in the reconstructed period, and most of the dry years (periods) in the reconstruction were supported by historical records. Comparisons between the reconstruction and other nearby dryness/wetness indices and precipitation reconstructions demonstrated a good repeatability and high reliability in our reconstruction. Spatial correlation implied that the reconstruction could represent regional hydroclimatic characteristics on a larger regional scale. Significant periodicities and correlations were observed between the reconstructed data and the quasi-biennial oscillation (QBO), El Niño–Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO), which suggested that the hydroclimatic variation in northern North China may be closely connected to remote oceans. The significant and high correlation between the reconstructed series and sea surface temperatures (SSTs) in the eastern equatorial and Southeast Pacific Ocean indicated that ENSO may be the main factor influencing the regional climate.

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Section: Methodsmentioning

confidence: 99%

Tree-Ring-Based Drought Reconstruction in Northern North China over the Past Century

Wang

Zhang

Wang³

et al. 2022

Atmosphere

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“…The results suggested that these three types of TCCI changes are all affected by the sea surface temperatures of the Pacific, Indian, and Atlantic Ocean, especially the high and medium levels of TCCI types. The study found that most of the Indian Ocean and the western Pacific region is the key region affecting the climate of China and East Asia [62]. At the same time, many studies have also found that the thermal state of the North Atlantic and the convective activity over it play a very important role in modulating climate change in the surrounding areas, and even in East Asia, through the Atlantic Interdecadal Oscillation and the North Atlantic Oscillation [58,63].…”

Section: Analysis Of Driving Forces Of the Tcci In The Study Areamentioning

confidence: 99%

Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China

Jun

Wang

2021

Atmosphere

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The tourism comprehensive climate comfort index (TCCI) was used to evaluate the tourism climate comfort in Henan Province in the last 61 years, and its future development trend is predicted. The results showed that the temporal variation of the TCCI had a “double peak” type (monthly variation), and an overall comfort improvement trend (interannual variation). The change of tourism climate comfort days was similar to the change of the index, especially in the months with a low comfort level. In space, the distribution of the TCCI gradually increased from northeast to southwest, and the area with a high comfort level also increased over time. Meanwhile, it also showed the spatial distribution of months with a low comfort level, which provides reliable information for tourists to use when choosing tourist destinations across all periods of the year. The TCCI was classified by hierarchical classification, and principal components were extracted to explore the main climate factors controlling different types of TCCIs and the relationship between them, and large-scale atmospheric–oceanic variability. According to the temporal change trend and correlation, the long-term change trend of tourism climate comfort was predicted, which will provide a scientific basis for tourism planners to choose tourist destinations.

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“…In the third topographical step, the temperature data in the winter half-year weakly reflect the warming in the twentieth century [ 66 , 67 ], but some data do not reflect this warming [ 69 ]. This situation must be taken into consideration when building a regional model of temperature changes.…”

Section: Region With An Api Greater Than 600 MMmentioning

confidence: 99%

“…This situation must be taken into consideration when building a regional model of temperature changes. Studies have shown that the reconstructed winter temperature in this area is mainly affected by the Asian winter monsoon [ 69 ], the atmospheric circulation at 500-hPa terrain height and the Siberian High [ 67 ].…”

Section: Region With An Api Greater Than 600 MMmentioning

confidence: 99%

The 600-mm precipitation isoline distinguishes tree-ring-width responses to climate in China

Liu

Song

Sun

et al. 2018

National Science Review

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The numerous temperature and precipitation reconstructions in China based on tree-ring-width data have played significant roles in furthering the understanding of past climate changes. However, the geographical variability in the responses of trees to climate variations in China remains largely undetermined. Here, we describe an important spatial boundary in the response of trees to climate variations, namely the 600-mm annual precipitation isoline. We found that, to the north of this line, tree-ring widths are usually positively correlated with precipitation and negatively correlated with growing-season temperature. To the south of this line, the tree-ring widths respond positively to temperature, and winter half-year temperatures are the main reconstructed parameters, especially on the third topographical step of China. We also found that precipitation reconstructions based on tree-ring data and the Palmer Drought Severity Index almost exclusively fall in the region of the 200- to 600-mm annual precipitation isolines, not other regions. Our findings indicate that, when using multiple tree-ring-width chronologies for large-scale past climate reconstructions, the climatic signal of each tree-ring-width series should be carefully considered.

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Recent warming evidence inferred from a tree-ring-based winter-half year minimum temperature reconstruction in northwestern Yichang, South Central China, and its relation to the large-scale circulation anomalies

Cited by 33 publications

References 52 publications

Tree-Ring-Based Drought Reconstruction in Northern North China over the Past Century

Tree-Ring-Based Drought Reconstruction in Northern North China over the Past Century

Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China

The 600-mm precipitation isoline distinguishes tree-ring-width responses to climate in China

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