Assessment of GCMs simulation performance for precipitation and temperature from CMIP5 to CMIP6 over the Tibetan Plateau

2021 ◽  
Author(s):  
Yurui Lun ◽  
Liu Liu ◽  
Lei Cheng ◽  
Xiuping Li ◽  
Hao Li ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
The Tibetan Plateau ◽  
Simulation Performance ◽  
Precipitation And Temperature

Assessment of vegetation dynamics and their response to variations in precipitation and temperature in the Tibetan Plateau

2010 ◽  
Vol 103 (3-4) ◽  
pp. 519-535 ◽  
Author(s):  
Lei Zhong ◽  
Yaoming Ma ◽  
Mhd. Suhyb Salama ◽  
Zhongbo Su
Keyword(s):  
Tibetan Plateau ◽  
Vegetation Dynamics ◽  
The Tibetan Plateau ◽  
Precipitation And Temperature

scholarly journals Relationship between Extreme Precipitation and Temperature in Two Different Regions: The Tibetan Plateau and Middle-East China

2019 ◽  
Vol 33 (5) ◽  
pp. 870-884
Author(s):  
Rui Wang ◽  
Tao Xian ◽  
Mengxiao Wang ◽  
Fengjiao Chen ◽  
Yuanjian Yang ◽  
...  
Keyword(s):  
Middle East ◽  
Tibetan Plateau ◽  
Extreme Precipitation ◽  
East China ◽  
The Tibetan Plateau ◽  
Precipitation And Temperature

scholarly journals Assessment of CMIP5 GCM Simulation Performance for Temperature Projection in the Tibetan Plateau

2019 ◽  
Vol 6 (12) ◽  
pp. 2362-2378
Author(s):  
Kun Jia ◽  
Yunfeng Ruan ◽  
Yanzhao Yang ◽  
Zhen You
Keyword(s):  
Tibetan Plateau ◽  
The Tibetan Plateau ◽  
Simulation Performance ◽  
Temperature Projection

scholarly journals Trends and variability in snowmelt in China under climate change

2021 ◽  
Author(s):  
Yong Yang ◽  
Rensheng Chen ◽  
Guohua Liu ◽  
Zhangwen Liu ◽  
Xiqiang Wang
Keyword(s):  
Climate Change ◽  
Tibetan Plateau ◽  
Snow Cover ◽  
Northeast China ◽  
Cmip5 Models ◽  
Historical Period ◽  
The Tibetan Plateau ◽  
Snowmelt Runoff ◽  
The Mean ◽  
Precipitation And Temperature

Abstract. Snowmelt is a major fresh water resource, and quantifying snowmelt and its variability under climate change is necessary for planning and management of water resources. Spatiotemporal changes in snow properties in China have drawn wide attention in recent decades; however, country-wide assessments of snowmelt are lacking. Using precipitation and temperature data with a high spatial resolution (0.5 seconds, approximately 1 km), this study calculated the monthly snowmelt in China for the 1951–2017 period using a simple temperature index model, and the model outputs were validated using snowfall, snow depth, snow cover extent and snow water equivalent. Precipitation and temperature scenarios developed from five CMIP5 models were used to predict future snowmelt in China under three different representative concentration pathways (RCP) scenarios (RCP2.6, RCP4.5 and RCP8.5). The results showed that the mean annual snowmelt in China from 1951 to 2017 was 2.41 × 1011 m3. The mean annual snowmelts in Northern Xinjiang, Northeast China, and the Tibetan Plateau – China’s three main stable snow cover regions – were 0.18 × 1011 m3, 0.42 × 1011 m3 and 1.15 × 1011 m3, respectively. From 1951 to 2017, the snowmelt increased significantly in the Tibetan Plateau and decreased significantly in North, Central and Southeast China. In the whole of China, there was a decreasing trend in snowmelt, but this was not statistically significant. The mean annual snowmelt runoff ratios were generally more than 10 % in almost all third-level basins in West China, more than 5 % in third-level basins in North and Northeast China, and less than 2 % in third-level basins in South China. From 1951 to 2017, the annual snowmelt runoff ratios decreased in most third-level basins in China. Under RCP2.6, RCP4.5 and RCP8.5, the projected snowmelt in China in 2030s (2050s, 2090s) may decrease by 13.4 % (16.3 %, 13.8 %), 19.1 % (19.8 %, 22.5 %), 17.1 % (24.7 %, 42.8 %) compared with the historical period (1951–2017), respectively. Most of the projected mean annual snowmelt runoff ratios in third-level basins in different decades (2030s, 2050s and 2090s) were lower than those in the historical period. Low temperature regions can tolerate more warming, and the snowmelt change in these regions is mainly influenced by precipitation; however, the snowmelt change in warm regions is more sensitive to temperature increases. The spatial variability of snowmelt changes may lead to regional differences in the impact of snowmelt on water supply.

Geology: Crustal flow of the Tibetan Plateau

Nature China ◽  
2010 ◽  
Author(s):  
Felix Cheung
Keyword(s):  
Tibetan Plateau ◽  
The Tibetan Plateau
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