scholarly journals Elevation-Dependent Vegetation Greening of the Yarlung Zangbo River Basin in the Southern Tibetan Plateau, 1999–2013

2015 ◽  
Vol 7 (12) ◽  
pp. 16672-16687 ◽  
Author(s):  
Haidong Li ◽  
Yingkui Li ◽  
Weishou Shen ◽  
Yanan Li ◽  
Jie Lin ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
River Basin ◽  
Yarlung Zangbo River ◽  
Southern Tibetan Plateau

scholarly journals Near-surface wind environment in the Yarlung Zangbo River basin, southern Tibetan Plateau

2021 ◽  
Author(s):  
Junhuai Yang ◽  
Dunsheng Xia ◽  
Shuyuan Wang ◽  
Weidong Wang ◽  
Xingyue Ma ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
River Basin ◽  
Surface Wind ◽  
Wind Environment ◽  
Near Surface ◽  
Yarlung Zangbo River ◽  
Southern Tibetan Plateau

scholarly journals A High-Accuracy Rainfall Dataset by Merging Multi-Satellites and Dense Gauges over Southern Tibetan Plateau for 2014–2019 Warm Seasons

2021 ◽  
Author(s):  
Kunbiao Li ◽  
Fuqiang Tian ◽  
Mohd Yawar Ali Khan ◽  
Ran Xu ◽  
Zhihua He ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
High Performance ◽  
Statistical Evaluation ◽  
Daily Rainfall ◽  
High Accuracy ◽  
Flood Prediction ◽  
Rainfall Events ◽  
Yarlung Zangbo River ◽  
Southern Tibetan Plateau ◽  
Rainfall Estimates

Abstract. Tibetan Plateau (TP) is well known as the Asia’s water tower from where many large rivers originate. However, due to complex spatial variability of climate and topography, there is still a lack of high-quality rainfall dataset for hydrological modelling and flood prediction. This study, therefore, aims to establish a high-accuracy daily rainfall product through merging rainfall estimates from three satellites, i.e., GPM-IMERG, GSMaP, and CMORPH, based on the likelihood measurements of a high-density rainfall gauge network. The new merged daily rainfall dataset with a spatial resolution of 0.1°, focuses on warm seasons (June 10th–October 31st) from 2014 to 2019. Statistical evaluation indicated that the new dataset outperforms the raw satellite estimates, especially in terms of rainfall accumulation and the detection of ground-based rainfall events. Hydrological evaluation in the Yarlung Zangbo River Basin demonstrated high performance of the merged rainfall dataset in providing accurate and robust forcings for streamflow simulations. The new rainfall dataset additionally shows superiority to several other products of similar types, including MSWEP and CHIRPS. This new rainfall dataset is publicly accessible at https://doi.org/10.11888/Hydro.tpdc.271303 (Li et al.,2021).

scholarly journals Pattern of Turbidity Change in the Middle Reaches of the Yarlung Zangbo River, Southern Tibetan Plateau, from 2007 to 2017

2021 ◽  
Vol 13 (2) ◽  
pp. 182
Author(s):  
Ming Shen ◽  
Siyuan Wang ◽  
Yingkui Li ◽  
Maofeng Tang ◽  
Yuanxu Ma
Keyword(s):  
Tibetan Plateau ◽  
Satellite Imagery ◽  
Large Scale ◽  
Environmental Changes ◽  
Landsat 8 ◽  
The Tibetan Plateau ◽  
Important Indicator ◽  
Yarlung Zangbo River ◽  
Southern Tibetan Plateau

Turbidity is an important indicator of riverine conditions, especially in a fragile environment such as the Tibetan Plateau. Remote sensing, with the advantages of large-scale observations, has been widely applied to monitor turbidity change in lakes and rivers; however, few studies have focused on turbidity change of rivers on the Tibetan Plateau. We investigated the pattern of turbidity change in the middle reaches of the Yarlung Zangbo River, southern Tibetan Plateau, based on multispectral satellite imagery and in situ measurements. We developed empirical models from in situ measured water leaving reflectance and turbidity, and applied the best performed s-curve models on satellite imagery from Sentinel-2, Landsat 8, and Landsat 5 to derive turbidity change in 2007–2017. Our results revealed an overall decreasing spatial trend from the upper to lower streams. Seasonal variations were observed with high turbidity from July to September and low turbidity from October to May. Annual turbidity showed a temporally slightly declining trend from 2007 to 2017. The pattern of turbidity change is affected by the confluence of tributaries and the changes in precipitation and vegetation along the river. These findings provide important insights into the responses of riverine turbidity to climate and environmental changes on the Tibetan Plateau.

scholarly journals A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons

2021 ◽  
Vol 13 (11) ◽  
pp. 5455-5467
Author(s):  
Kunbiao Li ◽  
Fuqiang Tian ◽  
Mohd Yawar Ali Khan ◽  
Ran Xu ◽  
Zhihua He ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
High Performance ◽  
Hydrological Modeling ◽  
Statistical Evaluation ◽  
Daily Rainfall ◽  
High Accuracy ◽  
Flood Prediction ◽  
Rainfall Events ◽  
Yarlung Zangbo River ◽  
Southern Tibetan Plateau

Abstract. Tibetan Plateau (TP) is well known as Asia's water tower from where many large rivers originate. However, due to complex spatial variability in climate and topography, there is still a lack of a high-quality rainfall dataset for hydrological modeling and flood prediction. This study therefore aims to establish a high-accuracy daily rainfall product through merging rainfall estimates from three satellites, i.e., GPM-IMERG, GSMaP and CMORPH, based on a high-density rainfall gauge network. The new merged daily rainfall dataset with a spatial resolution of 0.1∘ focuses on warm seasons (10 June–31 October) from 2014 to 2019. Statistical evaluation indicated that the new dataset outperforms the raw satellite estimates, especially in terms of rainfall accumulation and the detection of ground-based rainfall events. Hydrological evaluation in the Yarlung Zangbo River basin demonstrated high performance of the merged rainfall dataset in providing accurate and robust forcings for streamflow simulations. The new rainfall dataset additionally shows superiority to several other products of similar types, including MSWEP and CHIRPS. This new rainfall dataset is publicly accessible at https://doi.org/10.11888/Hydro.tpdc.271303 (Li and Tian, 2021).

scholarly journals Glacier changes from a new inventory, Nianchu river basin, Tibetan Plateau

2009 ◽  
Vol 50 (53) ◽  
pp. 87-92 ◽  
Author(s):  
Caiping Zhou ◽  
Wenbin Yang ◽  
Liang Wu ◽  
Shiyin Liu
Keyword(s):  
Tibetan Plateau ◽  
Surface Area ◽  
River Basin ◽  
Glacier Surface ◽  
Air Temperatures ◽  
Digital Elevation ◽  
Glacier Changes ◽  
Southern Tibetan Plateau ◽  
The Mean ◽  
Topographical Maps

AbstractThe ice cover of the Nianchu river basin, southern Tibetan Plateau, was mapped for 2005, using a SPOT5 scene, and for 1990 and 2000 from Landsat TM/ETM. Digital elevation models (DEMs) were generated from 1 : 50 000 scale topographical maps. The results show that in 2005 there were 136 glaciers in this basin, with a total area of 224 km2. Of these, 37 glaciers had an area >1 km2 and 10 were larger than 5 km2; the average snout altitude was 5608m a.s.l. A comparison of outlines from the last 15 years shows that most glaciers have decreased in size; none have advanced. From 1990 to 2005, Xiaquepu glacier No. 56 and Shimozongpu glacier No. 38 retreated 310 and 560 m, respectively. The mean reduction in glacier surface area was 5% (10 a)–1 while the area of glacial lakes expanded by 10%; nine new lakes formed in this basin over the 15 year period. Because air temperatures here have been increasing, while precipitation has remained steady, glacier retreat is considered to be related to rising temperature.

Sign in / Sign up

Export Citation Format

Share Document