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 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 Insight into runoff characteristics using hydrological modeling in the data-scarce southern Tibetan Plateau: Past, present, and future

PLoS ONE ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. e0176813 ◽  
Author(s):  
Mingyong Cai ◽  
Shengtian Yang ◽  
Changsen Zhao ◽  
Qiuwen Zhou ◽  
Lipeng Hou
Keyword(s):  
Tibetan Plateau ◽  
Hydrological Modeling ◽  
Southern Tibetan Plateau ◽  
Insight Into

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 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 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

The Influence of Geographical Factors on Extreme Rainfalls in Lampung Province

2019 ◽  
Vol 1 (1) ◽  
pp. 33
Author(s):  
M Welly
Keyword(s):  
Geographical Location ◽  
Daily Rainfall ◽  
Extreme Rainfall ◽  
Design Flood ◽  
Extreme Rainfall Events ◽  
Rainfall Events ◽  
Ungauged Basin ◽  
Flood Discharge ◽  
Design Rainfall ◽  
Geographical Factors

Many people in Indonesia calculate design rainfall before calculating the design flooddischarge. The design rainfall with a certain return period will eventually be convertedinto a design flood discharge by combining it with the characteristics of the watershed.However, the lack of a network of rainfall recording stations makes many areas that arenot hydrologically measured (ungauged basin), so it is quite difficult to know thecharacteristics of rain in the area concerned. This study aims to analyze thecharacteristics of design rainfall in Lampung Province. The focus of the analysis is toinvestigate whether geographical factors influence the design rainfall that occurs in theparticular area. The data used in this study is daily rainfall data from 15 rainfallrecording stations spread in Lampung Province. The method of frequency analysis usedin this study is the Gumbel method. The research shows that the geographical location ofan area does not have significant effect on extreme rainfall events. The effect of risingearth temperatures due to natural exploitation by humans tends to be stronger as a causeof extreme events such as extreme rainfall.Keywords: Influence, geographical, factors, extreme, rainfall.

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