Instrumental temperature series in eastern and central China back to the nineteenth century

Cao, Lijuan; Zhao, Ping; Zeng, Yan; Jones, Phil; Zhu, Yani; Yu, Yu; Tang, Guoli

doi:10.1002/jgrd.50615

Cited by 90 publications

(83 citation statements)

References 24 publications

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“…Figure 2b shows that the NDVI anomaly is mostly negative before the 1994, but primarily positive after 1994. According to the documentary records, the time series of temperature during 1909-2012, created by Wang and Cao [48,49], shows the level of temperature anomaly relative to 1971-2000 changes from negative to positive, with 1994 as the demarcation point. This may be an important reason for this phenomenon.…”

Section: Temporal-spatial Variations In Growing-season Ndvimentioning

confidence: 99%

Interannual Variations in Growing-Season NDVI and Its Correlation with Climate Variables in the Southwestern Karst Region of China

et al. 2015

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Abstract:In this study, the updated Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) dataset for growing season (April to October), which can better reflect the vegetation vigor, was used to investigate the interannual variations in NDVI and its relationship with climatic factors, in order to preliminarily understand the climate impact on vegetation and provide theoretical basis for the response of ecosystem to climate change. Multivariate linear regression models, including the Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR), were adopted to analyze the correlation between NDVI and climatic factors (temperature and precipitation) together. Average growing-season NDVI significantly increased at a rate of 0.0015/year from 1982 to 2013, larger than several regions in China. On the whole, its relationship with temperature is positive and also stronger than precipitation, which indicated that temperature may be a limiting factor for the vegetation growth in the Karst region. Moreover, the correlation coefficients between grassland NDVI and climatic factors are the largest. Under the background of NDVI increasing trend from 1982 to 2013, the period of 2009-2012 was chosen to investigate the influencing factors of a sharp decline in NDVI. It can be found that the reduced temperature and solar radiation, caused by the increase in cloud cover and precipitation, may play important roles in the OPEN ACCESS Remote Sens. 2015, 7 11106 vegetation cover change. All in all, the systematic research on the interannual variations of growing-season NDVI and its relationship with climate revealed the heterogeneity and variability in the complicated climate change in the Karst ecosystem for the study area. It is the Karst characteristics that hinder obtaining more representative conclusions and tendencies in this region. Hence, more attention should be paid to promoting Karst research in the future.

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Section: Temporal-spatial Variations In Growing-season Ndvimentioning

confidence: 99%

Interannual Variations in Growing-Season NDVI and Its Correlation with Climate Variables in the Southwestern Karst Region of China

et al. 2015

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“…The homogenized monthly mean instrumental surface air temperature series back to the 19th century at 16 stations across eastern China (Table 1) are developed by Cao et al (2013). The homogenized series of daily mean surface air temperature at the same 16 stations for the period 1960−2011 are updated from Li and Yan (2009), which are applied to calculate the linear relationship between the LGS indices and monthly temperature records.…”

Section: Methodsmentioning

confidence: 99%

“…However, their results for the region of China remained problematic, because that global gridded dataset contains very limited instrumental observations in China before 1950. Recently, a set of long-term homogenized instrumental monthly mean surface air temperature series at 16 stations across eastern China back to the 19th century was developed (Cao et al 2013). It enables a study of long-term LGS variations in China.…”

Section: Introductionmentioning

confidence: 99%

Changes in the Local Growing Season in Eastern China during 1909-2012

Xia

Zeng

2014

SOLA

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The lack of long-term daily observations limited the study of changes in thermal growing season in China during the 20th century. Changes in the Local Growing Season (LGS) are analyzed based on a set of homogenized monthly temperature series back to the 19th century at 16 stations in eastern China. The analysis contains three steps: (1) to calculate the LGS indices (including the start and end dates) based on the daily temperature records at the 16 stations for the period 1960−2011; (2) to establish a linear relationship between the LGS indices and monthly temperature records; (3) to reconstruct the long-term LGS index series based on this linear relationship and the long-term monthly temperature records. It is found that, in eastern China, start (end) of LGS exhibits an advancing (a delaying) trend of −1.0 (0.5) days per decade, resulting in a lengthening trend of growing season of 1.5 days per decade, for the period 1909−2012. Changes in LGS indices are not monotonic but with mutidecadal variability. In particular, enhanced LGS-lengthening trends occurred during 1910−1940 and 1965−2012. Especially from 1965 onward, the LGS has been significantly extended by 3.5 days per decade, of which about 35% is contributed from mutidecadal variability.

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“…The increasing magnitude of temperature across China over the last 100 years has been larger than the average across the globe. In addition, in eastern China, the increasing magnitude of temperature during 1909-2010 reached 1.52 • C/100a [15]. Increasing temperature triggers an instability of atmospheric conditions, and hence an enhancement of extreme weather events.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Patterns of Extreme Temperature across the Huai River Basin, China, during 1961–2014, and Regional Responses to Global Changes

et al. 2018

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Global warming and its relevant effects have aroused increasing human concerns in recent decades. These anomalies are likely influencing vegetation dynamics and ecosystem stability. This paper aims to dissect extreme temperature variations in both space and time, and related regional responses to global warming in the Huai River Basin. Using the daily maximum and minimum air temperature at 153 stations across the Huai River Basin, China, covering the period of 1961-2014, trends and relations amongst extreme air temperature indices were analyzed, and regional responses of the Huai River Basin to global warming process were also investigated. The results indicated that: (1) widespread increasing trends can be observed in maximum and minimum air temperature, with the largest increasing magnitude of 0.4 • C per decade and 1.3 • C per decade, respectively. The minimum air temperature regimes have a larger increasing magnitude than the maximum air temperatures. (2) There is an increasing trend in the extreme maximum temperature indices, and the increasing rates of TN90p and TR20 are greater than those of the other extreme maximum temperature indices. However, the extreme minimum temperature indices, except for consecutive icy days (CID), show significant decreasing trends. The growing season length (GSL) would increase due to the joint action of (i) an increase in maximum temperature indices, and (ii) a decrease in minimum temperatures indices. Although increases in the GSL would be beneficial for increasing the growing time of crops, a decreased extreme minimum temperature and increased extreme maximum temperature may reduce the winter wheat yield. (3) Extreme low temperature indices show a larger changing magnitude than the extreme high temperature indices. Temporally, a larger changing magnitude can be identified for temperature indices during night-time than during daytime. Moreover, a larger changing magnitude and higher significance of trends of extreme temperature indices can be observed in the eastern Huai River Basin than in the western Huai River Basin. Particularly, we detect an even higher changing rate of extreme temperature indices in the southeastern Huai River Basin. These findings can be well explained by urban heat island effects resulting from urban aggregation across the Yangtze Delta. (4) The correlation between the extreme low temperature indices is slightly higher than that of the extreme high temperature indices. The changing trends of the most extreme temperature indices are closely related to latitude

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Instrumental temperature series in eastern and central China back to the nineteenth century

Cited by 90 publications

References 24 publications

Interannual Variations in Growing-Season NDVI and Its Correlation with Climate Variables in the Southwestern Karst Region of China

Interannual Variations in Growing-Season NDVI and Its Correlation with Climate Variables in the Southwestern Karst Region of China

Changes in the Local Growing Season in Eastern China during 1909-2012

Spatiotemporal Patterns of Extreme Temperature across the Huai River Basin, China, during 1961–2014, and Regional Responses to Global Changes

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