Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations

Hu, Zengyun; Zhou, Qiming; Chen, Xi; Li, Jianfeng; Li, Qingxiang; Chen, Deliang; Liu, Wenbin; Yin, Gang

doi:10.1002/joc.5510

Cited by 111 publications

(67 citation statements)

References 53 publications

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“…The temporal coverage of GPCC V7 ranges from January 1901 to December 2017 at three spatial resolutions: 0.5° × 0.5°, 1.0° × 1.0°, and 2.5° × 2.5°. The data set has been widely used to support regional climate monitoring, model validation, climate variability analysis, and water resource assessment studies (Becker et al, ; Schneider et al, ; Gu and Adler, ; Hu et al, ). New release of GPCC's portfolio of products, which will be based on an enlarged and improved database and is expected to include an improved correction of the systematic gauge measuring error, will help to reduce the uncertainty in the data set (Schneider et al, ).…”

Section: Methodsmentioning

confidence: 99%

Climate and hydrological changes in the Ob River Basin during 1936–2017

Kang

Wang

et al. 2020

Hydrological Processes

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Changes in the hydrological regimes of Arctic rivers could affect the thermohaline circulation of the Arctic Ocean. In this study, we analysed spatiotemporal variations in temperature and precipitation in the Ob River Basin regions during 1936-2017 based on data from the Global Precipitation Climatology Center.Changes in discharge and response to climate change were examined based on monthly observed data during the same period. It is indicated the Ob River Basin experienced significant overall rapid warming and wetting (increased precipitation) in the study period, with average rates of 0.20 C (10 year −1 ) and 5.3 mm (10 year −1 ), respectively. The annual spatial variations of temperature and precipitation showed different scales in different regions. The discharge in spring and winter significantly increased at a rate of 384.1 and 173.1 m 3 /s (10 year −1 ), respectively. Hydrograph separation indicated infiltration and supported that deep flow paths increased the contribution of groundwater to base flow. Meanwhile, the variation of the ratio of Q max /Q min suggested that the basin storage and the mechanism of discharge generation have significantly changed. The hydrological processes were influenced by changes of permafrost in a certain in the Ob RiverBasin. An increase in the recession coefficient (RC) implies that the permafrost degradation in the basin due to climate warming affected hydrological processes in winter. Permafrost degradation affected the Q max /Q min more significantly in the warm season than RC due to the enhanced infiltration that converted more surface water into groundwater in the cold season. The impact of precipitation on discharge, including surface flow and base flow, was more significant than temperature at the annual and seasonal scales in the Ob River Basin. The base flow was more obviously influenced by temperature than surface flow. The results of this study are significant for analyses of the basin water budget and freshwater input to the Arctic Ocean. K E Y W O R D Sdischarge, hydrological processes, impacts, Ob River, temperature and precipitation

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Section: Methodsmentioning

confidence: 99%

Climate and hydrological changes in the Ob River Basin during 1936–2017

Kang

Wang

et al. 2020

Hydrological Processes

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“…The average of annual precipitation is 157 mm, which only accounts for 24.2% of the average precipitation (i.e., 650 mm) across China [22,23]. In addition, precipitation in this region varies with high spatial difference and large inner-annual variation (e.g., more precipitation in mountainous areas than in plain areas; more precipitation in spring and summer than in autumn and winter) [14,24,25]. In the past three decades, Xinjiang experienced a significant warm-wet trend [5,26].…”

Section: Datasetsmentioning

confidence: 99%

Groundwater Depletion Estimated from GRACE: A Challenge of Sustainable Development in an Arid Region of Central Asia

Zhou

Chen

et al. 2019

Remote Sensing

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Under climate change and increasing water demands, groundwater depletion has become regional and global threats for water security, which is an indispensable target to achieving sustainable developments of human society and ecosystems, especially in arid and semiarid regions where groundwater is a major water source. In this study, groundwater depletion of 2003–2016 over Xinjiang in China, a typical arid region of Central Asia, is assessed using the gravity recovery and climate experiment (GRACE) satellite and the global land data assimilation system (GLDAS) datasets. In the transition of a warm-dry to a warm-wet climate in Xinjiang, increases in precipitation, soil moisture and snow water equivalent are detected, while GRACE-based groundwater storage anomalies (GWSA) exhibit significant decreasing trends with rates between-3.61 ± 0.85 mm/a of CSR-GWSA and −3.10 ± 0.91 mm/a of JPL-GWSA. Groundwater depletion is more severe in autumn and winter. The decreases in GRACE-based GWSA are in a good agreement with the groundwater statistics collected from local authorities. However, at the same time, groundwater abstraction in Xinjiang doubled, and the water supplies get more dependent on groundwater. The magnitude of groundwater depletion is about that of annual groundwater abstraction, suggesting that scientific exploitation of groundwater is the key to ensure the sustainability of freshwater withdrawals and supplies. Furthermore, GWSA changes can be well estimated by the partial least square regression (PLSR) method based on inputs of climate data. Therefore, GRACE observations provide a feasible approach for local policy makers to monitor and forecast groundwater changes to control groundwater depletion.

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“…The gridded surface air temperature data were resampled to 0.25 • × 0.25 • spatial resolution for resolution consistency. The Global Precipitation Climatology Centre products (GPCC, https://www.dwd.de/EN/ourservices/gpcc/gpcc.html) were more suitable for precipitation research in Central Asia when compared with the climatic research unit (CRU) and Willmott and Matsuura (WM) precipitation data [67]. Therefore, monthly precipitation gridded data at 0.25 • × 0.25 • spatial resolution from 1979 to 2016 were derived from the GPCC (V2018), which were based on data from more than 79,000 stations [68].…”

Section: Precipitation and Temperature Datasetsmentioning

confidence: 99%

Changes in Snow Phenology from 1979 to 2016 over the Tianshan Mountains, Central Asia

Yang

Ahmad

et al. 2019

Remote Sensing

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Snowmelt from the Tianshan Mountains (TS) is a major contributor to the water resources of the Central Asian region. Thus, changes in snow phenology over the TS have significant implications for regional water supplies and ecosystem services. However, the characteristics of changes in snow phenology and their influences on the climate are poorly understood throughout the entire TS due to the lack of in situ observations, limitations of optical remote sensing due to clouds, and decentralized political landscapes. Using passive microwave remote sensing snow data from 1979 to 2016 across the TS, this study investigates the spatiotemporal variations of snow phenology and their attributes and implications. The results show that the mean snow onset day (Do), snow end day (De), snow cover duration days (Dd), and maximum snow depth (SDmax) from 1979 to 2016 were the 78.2nd day of hydrological year (DOY), 222.4th DOY, 146.2 days, and 16.1 cm over the TS, respectively. Dd exhibited a spatial distribution of days with a temperature of <0 °C derived from meteorological station observations. Anomalies of snow phenology displayed the regional diversities over the TS, with shortened Dd in high-altitude regions and the Fergana Valley but increased Dd in the Ili Valley and upper reaches of the Chu and Aksu Rivers. Increased SDmax was exhibited in the central part of the TS, and decreased SDmax was observed in the western and eastern parts of the TS. Changes in Dd were dominated by earlier De, which was caused by increased melt-season temperatures (Tm). Earlier De with increased accumulation of seasonal precipitation (Pa) influenced the hydrological processes in the snowmelt recharge basin, increasing runoff and earlier peak runoff in the spring, which intensified the regional water crisis.

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Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations

Abstract: (a) Topography and major land features in central Asia. (b) Distribution of the 586 meteorological stations where observed precipitation is used in this study. The grey areas are the mountainous areas and the grid boxes are 0.5 × 0.5° resolution.

Cited by 111 publications

References 53 publications

Climate and hydrological changes in the Ob River Basin during 1936–2017

Climate and hydrological changes in the Ob River Basin during 1936–2017

Groundwater Depletion Estimated from GRACE: A Challenge of Sustainable Development in an Arid Region of Central Asia

Changes in Snow Phenology from 1979 to 2016 over the Tianshan Mountains, Central Asia

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