Characteristics of temperature and precipitation in Northeastern China from 1961 to 2005

Wei, 贺伟 He; Rencang, 布仁仓 Bu; Zaiping, 熊在平 Xiong; Yuanman, 胡远满 Hu

doi:10.5846/stxb201111241799

Cited by 61 publications

(14 citation statements)

References 2 publications

(2 reference statements)

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“…The precipitation of Liaodong Peninsula (locate in the region R2) and southern Changbai Mountain (locate in the region R3) showed significantly decreasing trend. The precipitation variation of the northern Da Hinggan Mountains (locate in the region R1) showed obviously increasing trend [ 54 ]. The increasing trend of precipitation in spring and winter leads to the relief of drought in Northeast China, while the decrease of precipitation in autumn is obvious, especially in R2 and R3 sub regions, which also aggravates the threat of autumn drought in the above regions.…”

Section: Discussionmentioning

confidence: 99%

Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China

Yue

Liu

et al. 2021

PLoS ONE

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The spatial and temporal characteristics of drought in Northeast China are investigated, using monthly meteorological data from 140 stations over the period 1970–2014. The study area was divided into three regions using hierarchical cluster analysis based on the precipitation and potential evapotranspiration data. The standardized precipitation evapotranspiration index (SPEI) was calculated for each station on 3-month and 12-month time scales. The Mann-Kendall (MK) trend test and Sen’s slope method were applied to determine the trends for annual and seasonal SPEI time series. Periodic features of drought conditions in each sub-region and possible relationship with large-scale climate patterns were respectively identified using the continuous wavelet transform (CWT) and cross wavelet transform. The results show mitigations in spring and winter droughts and a significant increasing trend in autumn drought. On the annual scale, droughts became more severe and more intense in the western regions but were mitigated in the eastern region. CWT analysis showed that droughts in Northeast China occur predominantly in 14- to 42-month or 15- to 60-month cycles. Annual and seasonal droughts have 2- to 6-year cycles over the three defined regions. Cross wavelet analysis also shows that the statistically significant influence of large-scale climate patterns (the Southern Oscillation, the Atlantic Multidecadal Oscillation, the Arctic Oscillation, and the Polar–Eurasian Pattern) on drought in Northeast China is concentrated in a 16- to 50-month period, possibly causing drought variability in the different regions. The Southern Oscillation, Polar–Eurasia pattern, and Arctic Oscillation are significantly correlated with drought on decadal scales (around 120-month period). The findings of this study will provide valuable reference for regional drought mitigation and drought prediction.

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Section: Discussionmentioning

confidence: 99%

Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China

Yue

Liu

et al. 2021

PLoS ONE

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“…The permafrost layer has high temperature, thin thickness and unstable thermal state, and is vulnerable to external environment, climate and human factors. The mean annual average temperature (MAAT) growth in Northeast China is higher than that of the global MAAT growth, the temperature rise in the Great and Small Xing'an Mountains in the north is the largest [3][4][5]. The study results show that since 1980, the continuous permafrost area in China has decreased from 70%~80% to 30%~50%, and the permafrost area in Northeast China has decreased from 3.9×105km2 to 2.4×105km2 [6,7].…”

Section: Introductionmentioning

confidence: 90%

Analysis of spatiotemporal distribution of methane column concentration and emission source in permafrost area of Northeast China based on AIRS data

Xu¹,

Chen²,

Shan³

et al. 2023

IJE

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Northeast China has the largest high-latitude permafrost distribution zone in China. With the intensification of global warming, the carbon stored in the permafrost will gradually thaw and release in the form of methane gas to air, thus increasing the methane column concentration in the near-surface troposphere. However, at present, the spatiotemporal distribution and emission source of methane column concentration in the near-surface troposphere are not clear. In this paper, using the AIRS (Atmospheric Infrared Sounder) remote sensing data from Aqua satellite, we analyzed the distribution and change trend of the methane column concentration in the near-surface troposphere in Northeast China from 2003 to 2021, and combined with the national meteorological and field monitoring data, we studied the emission mechanism and emission source of surface methane in the permafrost area of Northeast China. Study results show that: the permafrost zone in Northeast China has a high methane emission capacity in four seasons, and the methane column concentration shows a significant double-peak seasonal variation. The first peak appears in summer (June to August) and the maximum appears in August, the second peak appears in winter (December to February) and the maximum appears in December. However, the maximum average growth rate of near-surface methane column concentration in Northeast China appeared in spring (5.378ppbv/a), the reason is that the carbon stored under the permafrost is gradually exposed and released in the form of methane. The emission sources include microbial action, methane transported by wetland groundwater, geological methane (metastable methane hydrate, steady-state methane hydrate and thermogenic methane produced in the deep underground or coal seams) stored in frozen layer. The study provide data and technical support for the estimation of carbon emissions in permafrost areas in Northeast China.

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“…Univariate linear regression analysis is the simplest linear regression model; its purpose is to establish the linear relationship between x and y, and describe its linear trend. The calculation formula is [30]:…”

Section: Univariate Linear Regression Analysismentioning

confidence: 99%

“…The cumulative anomaly is a method to intuitively judge the trend of climate change from the curve. For the climate element sequence x, the cumulative anomaly at a certain time t is expressed as [30]:…”

Section: Mutation Detectionmentioning

confidence: 99%

Climate Change Characteristics of Typical Grassland in the Mongolian Plateau from 1978 to 2020

Wulan

Qinchaoketu

et al. 2022

Sustainability

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Typical grassland is the core of the Mongolian Plateau grassland belt, and is also an important ecological barrier in the north of China. It is of great significance to explore the real-time changes in grassland climate for the prevention and control of climate disasters, and for ecological protection. In this study, the spatial and temporal variation of temperature, precipitation and maximum wind speed in typical Mongolian Plateau grassland were studied using observation data from 16 meteorological stations from 1978 to 2020, using the linear trend method, cumulative anomaly method, Mann-Kendall test, sliding t-test and Morlet wavelet analysis. The results show that: (1) The typical grassland temperature has been increasing at a rate of 0.4 °C/10a (p < 0.001) over the past 40 years, with the most significant warming in spring and summer; a sudden change from low to high temperature occurred in 1992; the annual average temperature gradually increased from northeast to southwest, with significant warming in the southwest. (2) Annual precipitation decreased slightly at a rate of −2.39 mm/10a, with the most significant decrease in summer precipitation; a sudden change from more to less precipitation occurred in 1998; spatially, precipitation decreased gradually from east to west, with significant moisture reduction in its northern part. (3) The maximum wind speed decreased significantly at a rate of −0.33m/s/10a (p < 0.001), with the most pronounced decrease in spring; the maximum wind speed changed abruptly from strong to weak around 1991; spatially, the annual average maximum wind speed decreased gradually from northwest to southeast and northeast, with the most pronounced decrease in the south and northeast. (4) The wavelet analysis shows that the typical grassland area will still be in a warm, low-rainfall and weak-wind stage in the coming years. Using the above analysis, the typical grassland climate of the Mongolian Plateau has shown a clear trend of warm and dry, weak wind in the past 40 years.

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Characteristics of temperature and precipitation in Northeastern China from 1961 to 2005

Cited by 61 publications

References 2 publications

Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China

Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China

Analysis of spatiotemporal distribution of methane column concentration and emission source in permafrost area of Northeast China based on AIRS data

Climate Change Characteristics of Typical Grassland in the Mongolian Plateau from 1978 to 2020

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