Dynamics of major hydro-climatic variables in the headwater catchment of the Tarim River Basin, Xinjiang, China

Lyu, Jing; Shen, Bing; Li, HuaiEn

doi:10.1016/j.quaint.2014.12.017

Cited by 18 publications

(5 citation statements)

References 21 publications

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“…The annual T min and T max trends for TRB, 0.0354 °Cy −1 and 0.0190 °Cy −1 , respectively, are very close to the trends of 0.0400 °Cy −1 and 0.0200 °Cy −1 reported by Lyu et al . 68 . Mamtimin et al .…”

Section: Resultsmentioning

confidence: 99%

Monthly and annual temperature extremes and their changes on the Tibetan Plateau and its surroundings during 1963–2015

Ding

Cuo

Zhang

et al. 2018

Sci Rep

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In this study, the spatiotemporal distributions of monthly and annual temperature minima (Tmin) and maxima (Tmax), extreme Tmin and Tmax, the highest (lowest) Tmin (Tmax), frost day (FD), icing day (ID), summer day (SD) and tropical night (TR) at 112 stations and over the ten large river basins on the Tibetan Plateau and its surroundings (TPS) during 1963–2015 are examined. Mann-Kendall test is applied for the trends. The analyses show: the northwest experiences the hottest summer while the central TPS has the coldest winter and most frequent frost and icing days. The northwest (southeast) features the highest (lowest) monthly extreme temperature ranges. The northwest has the most frequent hot summer days, whereas the southeast has the least frequent frost and icing days. The entire TPS displays few tropical nights. Most stations show positive trends for all monthly and annual Tmin and Tmax variables. February displays the most positive trends for both monthly Tmin and Tmax variables while April shows the highest number of stations with decreasing trends in monthly Tmax. The trends of FD and ID are negative, whereas the trends of SU and TR are positive. Over river basins, the trends of monthly Tmin are all positive and statistically significant and the trends of monthly Tmax are all positive except for one negative trend and around 1/3 of the positive trends are statistically significant. Relatively larger increases in monthly Tmin and Tmax are noted for the cold season than the warm. The monthly and annual Tmin variables increase more than Tmax variables.

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Section: Resultsmentioning

confidence: 99%

Monthly and annual temperature extremes and their changes on the Tibetan Plateau and its surroundings during 1963–2015

Ding

Cuo

Zhang

et al. 2018

Sci Rep

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“…S6 ). In addition, glacier melting and precipitation are also the main sources of recharge in Xinjiang province 29 , 30 . TWS rose from 1960 to 2015 and the water storage change was significantly positively correlated to precipitation (Fig.…”

Section: Discussionmentioning

confidence: 99%

Detection of the spatial patterns of water storage variation over China in recent 70 years

Chen

Jiang

et al. 2017

Sci Rep

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Terrestrial water storage (TWS) variation is crucial for global hydrological cycles and water resources management under climatic changes. In the previous studies, changes in water storage of some part of China have been studied with GRACE data in recent ten years. However, the spatial pattern of changes in water storage over China may be different in a long period. Here, we aimed to present long-term spatial patterns of TWS over China between 1948 to 2015 by unique Global Land Data Assimilation System Version 2 data and identify possible factors to water storage changes. The results revealed that the inner-annual variations in TWS of China exhibited remarkable downward trends with decreased rate of 0.1 cm/yr. Meanwhile, we found that spatial patterns of TWS in China can be divided into three distinct sub-regions of TWS region with increased, TWS region with decreased, TWS region with insignificant variation. The Northeast had decreased trends (−0.05 cm/yr) due to climate change and anthropogenic activities. Urban expansion is a non-ignorable factor to TWS reduction in Jing-Jin-Ji region (r = 0.61); the west had increased from 1948 to 2015 (0.03 cm/yr) due to precipitation increased and recharge by glacier melt; the south had insignificant trends and TWS varied with precipitation (r = 0.78).

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“…Due to extreme climate drought and limited water resources, the main source of water in the river basin is glacial snowmelt and precipitation [1,44]. The TRB is a closed river basin with unique water cycle processes which has a large temporal and spatial differences in precipitation distribution [2,45]. It is surrounded by high mountains, like the Tianshan Mountains, the Pamirs, the Karakorum Mountains, the Kunlun Mountains, and the Altun Mountains [46].…”

Section: Description Of the Study Areamentioning

confidence: 99%

Downscaling Precipitation in the Data-Scarce Inland River Basin of Northwest China Based on Earth System Data Products

Zuo

Chen

et al. 2019

Atmosphere

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Precipitation is a key climatic variable that connects the processes of atmosphere and land surface, and it plays a leading role in the water cycle. However, the vast area of Northwest China, its complex geographical environment, and its scarce observation data make it difficult to deeply understand the temporal and spatial variation of precipitation. This paper establishes a statistical downscaling model to downscale the monthly precipitation in the inland river basin of Northwest China with the Tarim River Basin (TRB) as a typical representation. This method combines polynomial regression and machine learning, and it uses the batch gradient descent (BGD) algorithm to train the regression model. We downscale the monthly precipitation and obtain a dataset from January 2001 to December 2017 with a spatial resolution of 1 km × 1 km. The results show that the downscaling model presents a good performance in precipitation simulation with a high resolution, and it is more effective than ordinary polynomial regression. We also investigate the temporal and spatial variations of precipitation in the TRB based on the downscaling dataset. Analyses illustrate that the annual precipitation in the southern foothills of the Tianshan Mountains and the North Kunlun Mountains showed a significant upward trend during the study periods, while the annual precipitation in the central plains presented a significant downward trend.

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Dynamics of major hydro-climatic variables in the headwater catchment of the Tarim River Basin, Xinjiang, China

Cited by 18 publications

References 21 publications

Monthly and annual temperature extremes and their changes on the Tibetan Plateau and its surroundings during 1963–2015

Monthly and annual temperature extremes and their changes on the Tibetan Plateau and its surroundings during 1963–2015

Detection of the spatial patterns of water storage variation over China in recent 70 years

Downscaling Precipitation in the Data-Scarce Inland River Basin of Northwest China Based on Earth System Data Products

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