The influence of large-scale climate phenomena on precipitation in the Ordos Basin, China

Zhong, Yu; Lei, Liyuan; Liu, Youcun; Hao, Yonghong; Zou, Chris B.; Zhan, Hongbin

doi:10.1007/s00704-016-1904-9

Cited by 7 publications

(8 citation statements)

References 11 publications

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“…The AMO is a coherent pattern of natural climate oscillation in the North Atlantic, and is defined as an ongoing series of long-duration changes in the North Atlantic Ocean SST with a cycle of 65-80 years (Kerr, 2000;Enfield et al, 2001). As a pacemaker of climate within the globe, the AMO is considered to connect with the global warming and modulate the ENSO variability (Kerr, 2000;Lu et al, 2006;Zhong et al, 2017;. Some studies have investigated that the AMO could exert certain influences on the regional precipitation as well as dryness-wetness condition in China.…”

Section: Remote Climate Drivers Of Changes In Consecutive Dry/wet Daysmentioning

confidence: 99%

“…For example, Li and Bates (2007) documented that the warm/cold phase AMO was linked to a wetter/ drier winter in China except for the southern coastal areas. Gao et al (2017) found the warm/cold phase of AMO was generally associated with more/less summer rainfall over the monsoon region of China, however, a relatively limited impact of AMO on annual precipitation in the Ordos Basin of China was disclosed by Zhong et al (2017). In the coastal area of China, there was a dominant insignificant negative relationship between CDD/CWD and AMO during 1961-2017, except some eastern and southwestern coastal regions where presented a mild positive correlation between CWD and AMO.…”

Section: Remote Climate Drivers Of Changes In Consecutive Dry/wet Daysmentioning

confidence: 99%

“…It should be noted that there are complex associations between these large-scale circulation patterns which would play a synergetic role and has coupled effects on the climate variability. For example, the influences of ENSO on the East Asia precipitation are generally modulated by PDO, and the AMO warm phase also can enhance the impacts of ENSO on annual precipitation (Zhang et al, 2010;Xiao et al, 2015;Zhong et al, 2017). Therefore, the complex interactions between the climate indices would cause uncertainties in their relationship with CDD/CWD.…”

Section: Remote Climate Drivers Of Changes In Consecutive Dry/wet Daysmentioning

confidence: 99%

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Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China

Wang

Hou

Zhao

2021

Atmospheric Research

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Section: Remote Climate Drivers Of Changes In Consecutive Dry/wet Daysmentioning

confidence: 99%

Section: Remote Climate Drivers Of Changes In Consecutive Dry/wet Daysmentioning

confidence: 99%

Section: Remote Climate Drivers Of Changes In Consecutive Dry/wet Daysmentioning

confidence: 99%

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Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China

Wang

Hou

Zhao

2021

Atmospheric Research

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“…The main land cover in this area is desert, accounting for about 40% of the City's area, and the annual precipitation growth rate is slow, about 0.314 mm yr -1 . In this area, the precipitation has evaporated before replenishing the vegetation root zone soil, so the ecological impact is small (Zhong et al, 2017).…”

Section: Impacts Of Climatic Factors On Ecology and Environmentmentioning

confidence: 99%

Spatial–temporal variation analysis of water storage and its impacts on ecology and environment in high‐intensity coal mining areas

et al. 2022

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In common with other important coal bases in northwestern China, the hydrology and ecology and environment of Ordos, northern Shaanxi (Shanbei), and Shanxi Provinces have much. Terrestrial water storage anomaly (TWSA), soil moisture anomaly (SMA), and groundwater storage anomaly (GWSA), are important water storage qualities that play a critical role in the distribution and growth of vegetation. In this paper, multi‐source remote sensing data were used to analyze the spatial–temporal changes and relationships of water storage, ecology and environment from 2002 to 2020. The numerical results showed the TWSA and GWSA in the study area had a declining trend and the rates were −7.512 mm yr‐1 and −8.268 mm yr‐1, respectively. On the contrary, the SMS showed an increasing trend, and the rate was 0.840 mm yr‐1. By trend variation and correlation analysis, we found GWSA is the main part in the variation of TWSA. By further analysis, it was found that the climate factors are not the major factors causing the variation of GWSA, but coal mining and artificial irrigation activities, which are especially clear in the Taihang Mountains in eastern Shanxi Province. The ecology and environment have been improving, and water storage and climate factors have played a different role in different regions. The warm climate conditions and the increased 0–40 cm of soil water have promoted the growth of vegetation and the improvement of the ecology and environment. The research results are helpful to understand the impacts of water storage on the ecology and environment in high‐intensity coal mining areas.

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“…Many factors, such as oceanic and atmospheric circulations [55,56], urbanization and economic growth [57,58], and topography and elevation [59] may affect the spatio-temporal variation in extreme temperature and precipitation. Considerable research has proven that large-scale oceanic and atmospheric patterns (such AMO, NAO, and AO) significantly affect regional average or extreme temperature and precipitation in China [55,56,[60][61][62]. AMO represents the alternation of warm and cold sea surface temperatures in the North Atlantic.…”

Section: Impact Of Oceanic and Atmospheric Circulations On Extreme Temperature And Precipitation In The Yrb During 1961 To 2020mentioning

confidence: 99%

Spatio-Temporal Variations in the Temperature and Precipitation Extremes in Yangtze River Basin, China during 1961–2020

et al. 2021

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Based on daily maximum temperature (Tmax), minimum temperature (Tmin), and precipitation of the Yangtze River Basin (YRB) from 1961 to 2020, we employed the trend analysis method and correlation analysis method to analyze spatiotemporal variations in 10 extreme indices and their associations with atmospheric and oceanic circulations. Results indicated that maximum Tmax (TXx), maximum Tmin (TNx), and minimum Tmin (TNn) all increased significantly, at rates of 0.19 °C, 0.19 °C, and 0.37 °C per decade, respectively, whereas minimum Tmax (TXn) did not show any significant trend. The diurnal temperature range (DTR) decreased by 0.09 °C per decade as minimum temperatures increased faster than maximum temperatures. TNx and TNn increased significantly in the majority of the YRB, but TXn showed no significant increases. TXn increased significantly in the upper reaches of the Yangtze River. The DTR increased significantly in the Jinsha River Basin and the lower reaches of the Yangtze River. Rx1day (maximum 1-day precipitation), SDII (Simple daily intensity index) and R99p (extremely wet-day precipitation) increased significantly, at rates of 1.12 mm, 0.09 mm, and 5.87 mm per decade, respectively, but the trends of Rx5day (maximum 5-day precipitation) and PRCPTOT (total wet-day precipitation) were not significant. However, the trends of precipitation extreme indices were not statistically significant in most of the YRB. In the future, maximum temperature and minimum temperature might increase while DTR might decrease. But, the trends of precipitation extremes in the future were ambiguous. Nearly all the extreme indices were related to the variability of Atlantic multidecadal oscillation (AMO) in the YRB. In addition, the correlations between extreme temperature indices and AMO are higher than that of extreme precipitation indices.

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The influence of large-scale climate phenomena on precipitation in the Ordos Basin, China

Cited by 7 publications

References 11 publications

Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China

Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China

Spatial–temporal variation analysis of water storage and its impacts on ecology and environment in high‐intensity coal mining areas

Spatio-Temporal Variations in the Temperature and Precipitation Extremes in Yangtze River Basin, China during 1961–2020

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