Qinghai Climate Center

Xining, China

Qinghai Climate Center

Xining, China

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Li H.-M.,Qinghai Climate Center | Zhou B.-R.,Institute of Meteorological Science of Qinghai Province | Li L.,Qinghai Climate Center | Wang Z.-Y.,Qinghai Climate Center
Chinese Journal of Ecology | Year: 2011

Based on the 1961-2009 meteorological data from 43 stations and the biomass data from 22 observation points in Qinghai Province as well as the future meteorological data estimated under SRES A1B scenario, this paper verified the applicability of Zhou Guang-sheng' s Model in the province, and, by using this model, calculated the vegetation net primary productivity (NPP) on Qinghai Plateau in 1961-2009, 2020s, 2050s, and 2080s. There was a very good correlation between the calculated and measured NPP values, suggesting the good applicability of Zhou's Model in the province. In 1961-2009, the mean provincial vegetation NPP had an increasing trend, with an increment of 0. 067 t · hm-2 · 10a-1, and the regional vegetation NPP varied greatly, with an increment of 0.077-0. 147 t · hm-2 · 10a-1 in eastern Chaidamu Basin and of 0.006-0.030 t · hm-2 · 10a-1 in most areas of Guoluo. Under the background of climate warming, both the precipitation and the temperature had higher correlations with the NPP, but the influence of precipitation was bigger than that of temperature. In the coming 100 years, the increment of the NPP would be decreased gradually from east to west Qinghai, being 1.35-1.49 t · hm-2 · 100a-1 in east Qinghai and 0.59-0.73 t · hm-2 · 100a-1 in west Qinghai, especially in Chaidamu Basin and Three-River Source Area. In 2020s, 2050s, and 2080s, the vegetation NPP in Qinghai Province would have an increment of 2.5-7.0, 2.7-7.5, and 2.9 -7.8 t · hm-2 · a-1, respectively.


Zhao H.-Y.,Northwest Regional Climate Center | Zhao H.-Y.,National Climate Center | Guo J.-Q.,Northwest Regional Climate Center | Guo J.-Q.,National Climate Center | And 30 more authors.
Advances in Climate Change Research | Year: 2014

Climate change resulted in changes in crop growth duration and planting structure, northward movement of planting region, and more severe plant diseases and insect pests in Northwest China. It caused earlier seeding for spring crop, later seeding for autumn crop, accelerated crop growth, and reduced mortality for winter crop. To adapt to climate change, measures such as optimization of agricultural arrangement, adjustment of planting structure, expansion of thermophilic crops, and development of water-saving agriculture have been taken. Damaging consequences of imbalance between grassland and livestock were enhanced. The deterioration trend of grassland was intensified; both grass quantity and quality declined. With overgrazing, proportions of inferior grass, weeds and poisonous weeds increased in plateau pastoral areas. Returning farmland to grazing, returning grazing to grassland, fence enclosure and artificial grassland construction have been implemented to restore the grassland vegetation, to increase the grassland coverage, to reasonably control the livestock carrying capacity, to prevent overgrazing, to keep balance between grassland and livestock, and to develop the ecological animal husbandry. In Northwest China, because the amount of regional water resources had an overall decreasing trend, there was a continuous expansion in the regional land desertification, and soil erosion was very serious. A series of measures, such as development of artificial precipitation (snow), water resources control, regional water diversion, water storage project and so on, were used effectively to respond to water deficit. It had played a certain role in controlling soil erosion by natural forest protection and returning farmland to forest and grassland. In the early 21st century, noticeable achievements had been made in prevention and control of desertification in Northwest China. The regional ecological environment has been improved obviously, and the desertification trend has shown sign of under control.


Li L.,Qinghai Climate Center | Li L.,Qinghai Center on Climate Change Monitoring and Evaluation | Wang Z.,Qinghai Climate Center | Wang Z.,Qinghai Center on Climate Change Monitoring and Evaluation | And 4 more authors.
Arctic, Antarctic, and Alpine Research | Year: 2010

In this study, we apply temperature, precipitation, and other data from 66 Chinese meteorological stations including Xining and Lhasa to analyze the extreme climate events and their impacting factors over the Qinghai-Tibet Plateau during the period 1961-2007. We focus on the spatial and temporal features of extreme climate events and their long-term changes over five climate zones of alpine grassland, meadow, and desert areas. Results show that, during the past decades, the changes in climate over the Qinghai-Tibet Plateau present trends towards warm and wet conditions. These changes in temperature and precipitation are evident in both seasonal means and extreme events, and the changes in precipitation are apparent in both precipitation amount and number of precipitation days. Clearly, warm and wet events increase, but cold and dry events decrease over the plateau region. Features of the warming climate are relatively consistent in spatial and seasonal distributions, with the most significant changes in winter and autumn and at nighttime. Northern Qinghai exhibits the greatest and most significant decrease in the frequency of extremely low-temperature events. However, the wetting trend shows more distinctive spatial features and is more seasonally dependent. While the trends in both precipitation amount and the number of precipitation days are positive in all climate zones for winter and spring, both positive and insignificant negative trends appear in summer and autumn. The largest decrease in the frequency of severely dry events is found over southeastern Tibet and western Sichuan. © 2010 Regents of the University of Colorado.


Zhang T.-F.,Qinghai Climate Center | Wang Q.-C.,Qinghai Climate Center | Hu A.-J.,Qinghai Institute of Meteorological Science | Wang Z.-J.,Qinghai Climate Center | Shen H.-Y.,Qinghai Climate Center
Chinese Journal of Ecology | Year: 2015

Based on Penman-Monteith model and partial derivatives, this paper analyzed the meteorological and crop data during 1961-2013, to assess the spatial dynamic variation of water deficit of spring wheat at different growth stages in the plateau agricultural region of eastern Qinghai Province. Meanwhile, sensitivity coefficients of the mean temperature, relative humidity, wind speed, and sunshine duration were studied. The result identified an increasing trend of water deficit of spring wheat at each growth stage since 1988. Moreover, the drought degree of spring wheat showed more aggravation during the period between sowing and jointing stages along the line of Guide-Jianzha-Xunhua, the drought degree of spring wheat showed an increasing trend in the period between jointing and heading stages in the regions of "Tongren-Hualong-Minhe", where the change range was the largest. However, a decreasing trend of water deficit was found in most parts of the whole region studied during the period between heading and maturing stages. The profit/loss amount of precipitation in the whole growth stage was the most sensitive variable to sunshine duration. The positively sensitive area to average air temperature was distributed in the valley of Huangshui River, while that to relative humidity, wind speed and sunshine duration was distributed in the northwestern part of eastern Qinghai. The findings from this study provide theoretical guidance on water resources management and regional irrigation scheduling. © 2015, Editorial Board of Chinese Journal of Ecology. All rights reserved.


Zhang T.-F.,Qinghai Climate Center | Zhang T.-F.,Northwest Normal University | Li L.,Qinghai Climate Center | Liu B.-K.,Institute of Arid Meteorology | And 4 more authors.
Chinese Journal of Ecology | Year: 2014

The standardized precipitation evapotranspiration index (SPEI) is a new climate drought index, which has been proved to be suited to drought monitoring and assessment at different time scales under global warming. This paper, based on SPEI, used the mean monthly temperature and monthly precipitation data from 47 weather stations in Qinghai from 1961-2012, to analyze the spatiotemporal variations of multi-scalar drought risks in the growth season of crop and pasture in Qinghai in the past 52 years. The results showed there was a drying trend during the growth season, and the spatiotemporal variations of drought risks were significant. Under the background of global warming, the drying trend for the early growth stage was slightly weaker than those of the critical water demand stage and the whole growth period. As a result, the key feature of droughts during the growth season was the switch of drought from occurring in the early growth stage to occurring in the critical water demand stage. In addition, drought area showed a significant trend of further expansion. Given an average warming of 1. 36 T over the past 52 years, the drought risk with moderate or higher severities had increased by two times, suggesting a close relationship between the drought and climate change. Thus, climate warming may bring benefits for agriculture, but also increase the instability of agricultural production. © 2014, Editorial Board of Chinese Journal of Ecology. All rights reserved.


Li L.,Qinghai Climate Center | Li L.,Qinghai Key Laboratory of Disaster Prevention and Reduction | Shen H.,Qinghai Climate Center | Shen H.,Qinghai Key Laboratory of Disaster Prevention and Reduction | And 5 more authors.
Journal of Geographical Sciences | Year: 2012

This study examines the hydrological and meteorological data of the source region of the Yellow River from 1956 to 2010 and future climate scenarios from regional climate model (PRECIS) during 2010-2020. Through analyzing the flow variations and revealing the climate causes, it predicts the variation trend for future flows. It is found that the annual mean flow showed a decreasing trend in recent 50 years in the source region of the Yellow River with quasi-periods of 5a, 8a, 15a, 22a and 42a; the weakened South China Sea summer monsoon induced precipitation decrease, as well as evaporation increase and frozen soil degeneration in the scenario of global warming are the climate factors, which have caused flow decrease. Based on the regional climate model PRECIS prediction, the flows in the source region of the Yellow River are likely to decrease generally in the next 20 years. © 2012 Science China Press and Springer-Verlag Berlin Heidelberg.


Li L.,Qinghai Climate Center | Li L.,Qinghai Key Laboratory of Disaster Preventing and Reducing | Shen H.,Qinghai Climate Center | Shen H.,Qinghai Key Laboratory of Disaster Preventing and Reducing | And 5 more authors.
Journal of Geographical Sciences | Year: 2013

In this paper, variations of surface water flow and its climatic causes in China are analyzed using hydrological and meteorological observational data, as well as the impact data set (version 2. 0) published by the National Climate Center in November 2009. The results indicate that surface water resources showed an increasing trend in the source region of the Yangtze River over the past 51 years, especially after 2004. The trend was very clearly shown, and there were quasi-periods of 9 years and 22 years, where the Tibetan Plateau heating field enhanced the effect, and the plateau monsoon entered a strong period. Precipitation notably increased, and glacier melt water increased due to climate change, all of which are the main climatic causes for increases in water resources in the source region. Based on global climate model prediction, in the SRESA1B climate change scenarios, water resources are likely to increase in this region for the next 20 years. © 2013 Science Press and Springer-Verlag Berlin Heidelberg.


Li L.,Qinghai Climate Center | Li L.,Qinghai Key Laboratory of Disaster Preventing and Reducing | Dai S.,Qinghai Climate Center | Dai S.,Qinghai Key Laboratory of Disaster Preventing and Reducing | And 6 more authors.
Acta Geographica Sinica | Year: 2012

By using the hydrological and meteorological observational data as well as impact data set (version 2.0) about climate change in China published by the National Climate Center in November 2009, the variations of flow and its climate causes are analyzed in this paper. The results indicate that the surface water resources show an increasing trend in the source region of Yangtze River in recent 51 years, especially after 2004, the trend was very obvious, and there were quasi-periods of 9 years and 22 years; Tibetan Plateau heating field enhanced, plateau monsoon went into a strong period, precipitation increased notably, and glacier melt water increased due to the climate change, all of which are the main climate causes of water resource increase in the source region. Based on the global climate model prediction, in the SRESA1B climate change scenarios, the water resources are likely to increase in this region in the next 20 years.


Li L.,Qinghai Climate Center | Li L.,Qinghai Key Laboratory of Disaster Preventing and Reducing | Shen H.,Qinghai Climate Center | Shen H.,Qinghai Key Laboratory of Disaster Preventing and Reducing | And 5 more authors.
Acta Geographica Sinica | Year: 2011

The hydrological and meteorological data of the source region of Yellow River from 1956 to 2010 and future climate scenarios from regional climate model (PRECIS) during 2010-2020 are used to analyze the flow variations and revealing the climate causes, and to predict the variation trend for future flows. Some conclusions can be drawn as follows. 1) Annual mean flow shows a decreasing trend in recent 50 years in the source region of Yellow River, and there are periods of 5a, 8a, 15a, 22a and 42a. 2) The precipitation decrease due to the weakened South China Sea summer monsoon as well as the increasing evaporation and the degenerating frozen soil in global warming are the climate origin of decreasing flow. 3) Based on the regional climate model PRECIS prediction, the flows in the source region of Yellow River are likely to decrease in the next 20 years.

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