A Multi-Index Evaluation of Drought Characteristics in the Yarlung Zangbo River Basin of Tibetan Plateau, Southwest China

Niu, Qiankun; Liu, Liu; Heng, Jingxia; Li, Hao; Xu, Zongxue

doi:10.3389/feart.2020.00213

Cited by 12 publications

(8 citation statements)

References 93 publications

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“…Because GLDAS datasets provide high spatiotemporal resolutions variables which makes it is an effective resource to study the water cycle based on these datasets, they have been widely used in many previous studies (Scanlon, et al, 2012;Mukheriee and Ramachandran, 2018;Kong et al, 2019;Chen and Yuan, 2020;Hoffmann et al, 2020;Niu, et al, 2020;Solander et al, 2020;Hu et al, 2021). To match the temporal (monthly) and spatial resolution (1.0 × 1.0) of the GRACE datasets, the GLDAS LSMs datasets examined in this study are those included in GLDAS V1 VIC and Mosaic with the period of 1979-present, and GLDAS V2.1 Noah V3.3 with the period of 2000-present.…”

Section: Dataset and Methodologymentioning

confidence: 99%

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Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets

Chen

et al. 2021

Front. Earth Sci.

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Under the global warming, as the typical arid region of Central Asia, the Xinjiang Uygur Autonomous Region (Xinjiang) has been experienced the remarkable warming and increased precipitation based on large previous studies. The arid and semiarid ecosystem of Xinjiang is very sensitive and vulnerable to climate change and water resource variations. However, the sparse and highly unevenly distributed in-situ stations in this region provide limited data for understanding of the soil moisture variations. In this study, the spatial and temporal changes and variations of soil moisture were explored at annual and seasonal time scales during the period of 2000–2017. The soil moisture data are from the Global Land Data Assimilation System (GLDAS) models, including four GLDAS 1 models: CLM, Mosaic, VIC and Noah 2.7 and one GLDAS 2.1 model: Noah 3.3. Major results show that 1) Noah 3.3 and VIC have the significant positive trends of annual soil moisture with the values of 2.64°mm/a and 0.98°mm/a. The trend of CLM is significant negative. The other two models Mosaic and Noah 2.7 have the weak positive trends. The temporal variations of seasonal soil moisutre are similar the annual soil moisture for each of the model. 2) For the spatial characteristics of the soil mositure variations, CLM displays the negative trends over large part of Xinjiang. Mosaic and VIC have the similar spatial characteristics of the linear trends. Noah 3.3 has the significant positive trends over almost Xinjiang which is different with Noah 2.7. All the five models have the positive trends over KLM. Our results have a better understanding of the soil moisture variations across Xinjiang, and they also enhance the reconginzing of the complex hydrological circulation in the arid regions.

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Section: Dataset and Methodologymentioning

confidence: 99%

“…Because GLDAS datasets provide hydrological variables in high spatial and temporal resolutions, they have been widely used in many previous studies in the field of hydrology (Kong et al, 2019;Chen and Yuan, 2020;Hoffmann et al, 2020;Niu, et al, 2020;Solander et al, 2020). The soil moisture from the GLDAS V1 (i.e.…”

Section: Dataset and Methodologymentioning

confidence: 99%

Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets

Chen

et al. 2021

Front. Earth Sci.

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“…Recent studies have found that discharge at several hydrological stations (e.g., Yangcun, Lhasa, Nuxia, not in the glacierized catchment) has experienced rising and then falling trends during the last 40 years, with the turning point in 1998 (Cuo et al., 2019; Ding et al., 2018; Ji et al., 2020; Niu et al., 2020; Sang et al., 2016). At the same time, glacier and snow cover in the basin has undergone accelerated retreat under the ongoing air temperature increases, especially for the Nyainqêntanglha and eastern‐Himalaya glaciers on the south‐eastern TP (Ke et al., 2020; Pepin et al., 2015; Yang et al., 2016).…”

Section: Introductionmentioning

confidence: 99%

Vanishing Glaciers at Southeast Tibetan Plateau Have Not Offset the Declining Runoff at Yarlung Zangbo

Wang

Zhou

et al. 2021

Geophysical Research Letters

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The cryosphere, including permafrost, snow cover, and glaciers, has reduced in extent and volume globally in recent decades (Armstrong et al., 2019;Huss & Hock, 2018), raising concerns such as the contribution to sea level change (Gardner et al., 2013), long-term sustainability of water resources in many large rivers (Bolch et al., 2012;Immerzeel et al., 2010;Lutz et al., 2014), and hazards including glacial lake outburst floods (Carrivick & Tweed, 2016). The Tibetan Plateau (TP) is one of the global climate change hot spots, where a climate signal stronger than global average coincides with hydrological and cryospheric changes in several major rivers (

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“…In general, better vegetation cover can conserve water resources and reduce the impact of floods in high‐precipitation years. However, this decreasing effect on runoff may change or even act to alleviate drought in dry years, such as around 1993 and 1996 (Makokha et al, 2016; Niu et al, 2020). These findings highlight that the regulatory effect of vegetation on water resources should not be overlooked.…”

Section: Resultsmentioning

confidence: 99%

“…The vegetation in the basin varies from desert or bare soil to arid steppe, deciduous shrubs or trees and finally changes to tropical forest (Sang et al, 2016). In addition, the cryospheric environment in this basin is undergoing dramatic and accelerating change, such as permafrost degradation resulting from climate warming and increased anthropogenic activity (Liu et al, 2020;Ni et al, 2021;Ran et al, 2020;Yao et al, 2012). In the past 40 years, the whole basin has experienced the humidifying and significant warming (Figure 1c,d).…”

Section: Study Regionmentioning

confidence: 99%

Impacts of frozen ground degradation and vegetation greening on upper Brahmaputra runoff during 1981–2019

Wang

Bibi

Zhou

et al. 2023

Intl Journal of Climatology

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The Tibetan Plateau (TP) contains the largest permafrost region in the mid–low latitudes and the largest area of glaciers outside of the polar regions. In recent decades, this region has experienced vegetation greening (e.g., increasing leaf area index) due to climate change. As the largest exorheic river on the TP, the Upper Brahmaputra Basin (UBB) is very sensitive to climate change, experiencing the humidifying and significant warming. In this study, we investigated the spatiotemporal variability of frozen ground and vegetation over the last four decades in the UBB and explored how these changes have impacted river runoff using a water‐ and energy‐budget distributed hydrological model (WEB‐DHM). We found that almost 50% of permafrost transformed into seasonally frozen or unfrozen ground from 1981 to 2019 with the great improvement of vegetation leaf area index (LAI). Based on the variable‐controlling approach (set the air temperature or vegetation unchanged), we revealed that frozen ground degradation caused an average of 9.3 billion m3 of water loss per year, accounting for 5.4% of total UBB river runoff, even if frozen ground degradation can increase water resources at the early stage. However, vegetation greening has caused a runoff decline by 10.9 billion m3 (6.4%) annually due to enhanced evapotranspiration. These findings highlight that it is critical to understand and mitigate the impacts of changing frozen ground and vegetation, when managing water resources availability and ecosystem conservation under rapid climate change.

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A Multi-Index Evaluation of Drought Characteristics in the Yarlung Zangbo River Basin of Tibetan Plateau, Southwest China

Cited by 12 publications

References 93 publications

Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets

Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets

Vanishing Glaciers at Southeast Tibetan Plateau Have Not Offset the Declining Runoff at Yarlung Zangbo

Impacts of frozen ground degradation and vegetation greening on upper Brahmaputra runoff during 1981–2019

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