Why does precipitation in northwest China show a significant increasing trend from 1960 to 2010?

Li, Baofu; Chen, Yaning; Chen, Zhongsheng; Xiong, Hui; Lian, Lishu

doi:10.1016/j.atmosres.2015.08.017

Cited by 199 publications

(142 citation statements)

References 22 publications

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“…The causes of the regional differences in variations in precipitation may be the physical and dynamic processes of precipitation and land use/land cover changes. Due to the variation of the North Atlantic oscillation (NAO), the column water vapor content increases above the southeast region of Central Asia, where significant increasing trends were detected in all seasons from 1960-2013 according to the results above, while the transient eddy activity becomes intensified in the areas with a further south route moving from Europe, Central Asia throughout northwestern China [36,37]. Local and regional human impacts, such as massive irrigation, may have a stronger impact on the climatic system at the regional level than global climate change [38,39].…”

Section: Discussionmentioning

confidence: 99%

Increasing Winter Precipitation over Arid Central Asia under Global Warming

Song

Bai

2016

Atmosphere

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Precipitation has been considered to be a critical water source for both human livelihoods and ecosystems in Central Asia. Using observational data and gridded datasets, we studied the regional and seasonal differences of precipitation climate characteristics and variations in precipitation over Central Asia. Using observational data obtained from the China Meteorological Administration, Global Historical Climatology Network (V3.02), we divided Central Asia into four subregions (North, Center, Southwest, and Southeast) based on the differences in seasonal cycles of precipitation. 'Single peaks' were detected as types of seasonal cycles over the North and the Southeast, while 'two peaks' was the type that occurred in the Southwest. For the Center, the zone of transition between the North and the Southwest, each monthly precipitation value was higher than the Southwest's and less than the North's. GPCC (R 2 of 0.89, RMSE of 64.5 mm/year) was proven to be the most suitable dataset of the four datasets (CRU, GPCC, MERRA, and TRMM) to describe precipitation in Central Asia, based on validation against observational data, and used to detect the spatial and temporal trend of precipitation in Central Asia and four subregions during . No significant trends were observed for annual precipitation in Central Asia, while precipitation in winter displayed a significant increase (0.11 mm/year). Additionally, significantly increasing trends (0.16, 0.27, 0.13, and 0.13 mm/year) were detected in spring, summer, autumn, and winter over the Southeast during 1960Southeast during -2013

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Section: Discussionmentioning

confidence: 99%

Increasing Winter Precipitation over Arid Central Asia under Global Warming

Song

Bai

2016

Atmosphere

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“…Recently, studies have shown that since the 1980s, the temperature in northwestern China has undergone an increasing trend [65]. In line with the warming trend, the precipitation has also experienced an increasing trend in northwestern China [66]. In the current study, the annual temperature and precipitation of the entire study area was calculated by averaging the records from all 18 meteorological stations in and around Ordos.…”

Section: Discussionmentioning

confidence: 99%

Satellite Monitoring the Spatial-Temporal Dynamics of Desertification in Response to Climate Change and Human Activities across the Ordos Plateau, China

Guo

Shi

et al. 2017

Remote Sensing

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Abstract:The Ordos Plateau, a typical semi-arid area in northern China, has experienced severe wind erosion events that have stripped the agriculturally important finer fraction of the topsoil and caused dust events that often impact the air quality in northern China and the surrounding regions. Both climate change and human activities have been considered key factors in the desertification process. This study used multi-spectral Landsat Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+) and Operational Land Imager (OLI) remote sensing data collected in 2000, 2006, 2010 and 2015 to generate a temporal series of the modified soil-adjusted vegetation index (MSAVI), bare soil index (BSI) and albedo products in the Ordos Plateau. Based on these satellite products and the decision tree method, we quantitatively assessed the desertification status over the past 15 years since 2000. Furthermore, a quantitative method was used to assess the roles of driving forces in desertification dynamics using net primary productivity (NPP) as a commensurable indicator. The results showed that the area of non-desertification land increased from 6647 km 2 in 2000 to 15,961 km 2 in 2015, while the area of severe desertification land decreased from 16,161 km 2 in 2000 to 8,331 km 2 in 2015. During the period 2006-2015, the effect of human activities, especially the ecological recovery projects implemented in northern China, was the main cause of desertification reversion in this region. Therefore, ecological recovery projects are still required to promote harmonious development between nature and human society in ecologically fragile regions like the Ordos Plateau.

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“…Because the precipitation and river discharge were included in the hydrological cycle and lots of researchers found that the precipitation [7], stream flow and its extremes [2], and dryness/wetness conditions [36] were associated with the climate indices, the North Atlantic Oscillation (NAO), the Arctic Oscillation (AO), ENSO/NINO3. …”

Section: Climate Indices Datamentioning

confidence: 99%

“…Additionally, there was another period with negative TWSA during 2013-2015 but without significant variations in precipitation. It was proven that there were complex relationships, which might have consisted of the human activities [40], the height of 0 ∘ C in summer [39], and atmospheric circulation [2,7,36] in water resource system in the TRB during 2002-2015. Also, the uncertainties in TWSA of GRACE were evaluated, which resulted from its relative coarse spatial resolution in the early period [18,44].…”

Section: Relationship Between Twsa and River Discharge Anomaliesmentioning

confidence: 99%

“…Meanwhile, the atmospheric circulation in large scale is connected with the hydrological cycle in the TRB. For instance, Wang et al [2] found that the drought evolution in the TRB was affected by the northern hemisphere polar vortex, North Atlantic Oscillation (NAO), and Arctic Oscillation (AO); Li et al [7] reported that the increasing precipitation in the northwest China, including TRB, owned to the South China Sea Subtropical High (SCSSH), West Pacific Subtropical High (WPSH), and North America Subtropical High (NASH); Liu et al [8] concluded that the El Niño-Southern Oscillation (ENSO) index could be another factor for the variations of the dryness/wetness conditions in the northwest of China. Worldwide, the hydrological cycle can be identified by precipitation [9], river discharge [10], and other hydrological variables [11].…”

Section: Introductionmentioning

confidence: 99%

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