Evaluation of Precipitation Products by Using Multiple Hydrological Models over the Upper Yellow River Basin, China

Guan, Xiaoxiang; Zhang, Jianyun; Yang, Qinli; Tang, Xiongpeng; Liu, Cuishan; Jin, Jian; Liu, Yue; Bao, Zhenxin; Wang, Guoqing

doi:10.3390/rs12244023

Cited by 26 publications

(8 citation statements)

References 53 publications

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“…Results of this study indicate that out of eight different PPs considered in this study, APHRODITE was suitable to simulate observed streamflow during calibration and validation periods with an accepted accuracy for both the Chirah and Dhoke Pathan subcatchments at daily and monthly temporal scales, thereby fulfilling the first purpose (see paragraph above). This finding is in line with previous findings [42][43][44][45][46][47][48], which highlighted the good performance of APHRODITE for streamflow prediction in catchments with distinct characteristics. Overall, the better performance of APHRODITE in simulating observed streamflow for both sub-catchments might be attributed to the fact that it is a gauge-based product and its development is based on daily precipitation records from a large number of meteorological stations in Asia.…”

Section: Discussionsupporting

confidence: 92%

Application of a Conceptual Hydrological Model for Streamflow Prediction Using Multi-Source Precipitation Products in a Semi-Arid River Basin

Usman¹,

Ndehedehe

Farah

et al. 2022

Water

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Management of the freshwater resources in a sustained manner requires the information and understanding of the surface water hydrology and streamflow is of key importance in this nexus. This study evaluates the performance of eight different precipitation products (APHRODITE, CHRS CCS, CHRS CDR, CHIRPS, CPC Global, GPCC, GPCP, and PERSIANN) for streamflow prediction in two sub-catchments (Chirah and Dhoke Pathan) of the data-scarce Soan River Basin (SRB) in Pakistan. A modified version of the hydrological model HBV (Hydrologiska Byråns Vattenbalansavdelning) known as HBV-light was used to generate streamflow. The model was separately calibrated and validated with observed and estimated precipitation data for streamflow simulation with optimized parameterization. The values of R2, NSE, KGE and PBIAS obtained during the calibration (validation) period for the Chirah sub-catchment were 0.64, 0.64, 0.68 and −5.6% (0.82, 0.81, 0.88 and 7.4%). On the other hand, values of R2, NSE, KGE, and PBIAS obtained during the calibration (validation) period for the Dhoke Pathan sub-catchment were 0.85, 0.85, 0.87, and −3.4% (0.82, 0.7, 0.73 and 6.9%). Different ranges of values were assigned to multiple efficiency evaluation metrics and the performance of precipitation products was assessed. Generally, we found that the performance of the precipitation products was improved (higher metrics values) with increasing temporal and spatial scale. However, our results showed that APHRODITE was the only precipitation product that outperformed other products in simulating observed streamflow at both temporal scales for both Chirah and Dhoke Pathan sub-catchments. These results suggest that with the long-term availability of continuous precipitation records with fine temporal and spatial resolutions, APHRODITE has the high potential to be used for streamflow prediction in this semi-arid river basin. Other products that performed better were GPCC, GPCP, and CHRS CCS; however, their scope was limited either to one catchment or a specific time scale. These results will also help better understand surface water hydrology and in turn, would be useful for better management of the water resources.

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Section: Discussionsupporting

confidence: 92%

Application of a Conceptual Hydrological Model for Streamflow Prediction Using Multi-Source Precipitation Products in a Semi-Arid River Basin

Usman¹,

Ndehedehe

Farah

et al. 2022

Water

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“…Three streamflow components-surface streamflow, groundwater, and snowmelt flow-were considered along with the processes of rainfall, snowfall, and snowmelt in the catchment. This model is a simplified large-scale conceptual hydrological model with mechanisms of streamflow generation [46]. There are four parameters in the model and the inputs include monthly precipitation, temperature, and potential evaporation.…”

Section: Hydrological Modelmentioning

confidence: 99%

Impact of Climate Change on Water Resources in the Western Route Areas of the South-to-North Water Diversion Project

Ning

Zhang

Yuan³

et al. 2022

Atmosphere

Self Cite

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The South-to-North Water Diversion Project (SNWDP) is a national strategic project for water shortages in northern China. Climate change will affect the availability of water resources in both source and receiving areas. A grid-based RCCC-WBM model based on climate projections from nine Global Climate Models under SSP2-4.5 was used for analyzing the changes in temperature, precipitation, and streamflow in the near future (2025–2045, NF) and far future (2040–2060, FF) relative to the baseline (1956–2000). The results showed that: (1) the temperature of the western route will increase significantly in the NF and FF with an extent of 1.6 °C and 2.0 °C, respectively, (2) precipitation will very likely increase even though Global Climate Model (GCM) projections are quite dispersed and uncertain, and (3) over half of the GCMs projected that streamflow of receiving area will slightly increase with a rate of 1.68% [−8.67%, 12.3%] and 2.78% [−3.30%, 11.0%] in the NF and FF, respectively. Climate change will support the planning of the western route to a certain extent. However, water supply risk induced by the extreme situation of climate change should be paid adequate consideration when the project operates in practice due to the large dispersion and uncertainty of GCM projections.

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“…Li et al showed that APHRODITE reflected the spatial and temporal distribution characteristics of precipitation in inland river basins and then compensated for the shortage of spatial precipitation data in the study area (Li et al, 2014 information-using-artificial) on the Tibetan Plateau and its surrounding areas and found that APHRODITE performed best with the longest time span (> 50 years) and had a higher R 2 with a lower MAE and RMSE than that of CHIRPS and PERSIANN-CDR (Tan et al, 2020). APHRODITE had the best performance in the DAC, including the Heihe River basin (Tang et al, 2017), Qinghai Lake drainage system (Zhang et al, 2014), Xinjiang (Wang, Sun, et al, 2020), upper reaches of the Yellow River (Guan et al, 2020) and other mountainous areas (Mishra et al, 2019). Therefore, we used APHRODITE, which has been verified many times and is one of the most accurate precipitation records in the DAC, in this paper.…”

Section: Glacier Runoffmentioning

confidence: 99%

The Spatiotemporal Regime of Glacier Runoff in Oases Indicates the Potential Climatic Risk in Dryland Areas of China

Leng

Feng

et al. 2021

Preprint

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Abstract. Glaciers continuously affected by climate change are of great concern; their supply and runoff variation tendency under the pressure of increasing populations, especially in dryland areas, should be studied. Due to the difficulty of observing glacier runoff, little attention has been given to establishing high-resolution and long-term series datasets established for glacial runoff. Using the latest dataset using digital elevation models (DEMs) to obtain regional individual glacier mass balance, simulating the spatiotemporal regime of glacier runoff in oases that support almost the entire income in the dryland areas of China (DAC) could be possible. The simulations quantitatively assess glacier runoff, including meltwater runoff and delayed runoff, in each basin of the DAC at a spatial resolution of 100 m from 1961 to 2015, classify glaciers according to the potential climatic risks based on the prediction results. The total glacier runoff in the DAC is (98.52 ± 67.37) × 108 m3, in which the meltwater runoff is (63.43 ± 42.17) × 108 m3, accounting for 64.38 %. Most basins had continuously increasing tendencies of different magnitudes from 1961 to 2015, except for the Shiyang River basin, which reached its peak in approximately 2000. Glacier runoff nurtured nearly 143,939.24 km2 of oasis agricultural areas (OAA) until 2015, while 19 regions with a total population of 14 million were built alongside the oases, where glacier runoff occupies an important place in agricultural, industrial and municipal water consumption. Therefore, providing a long time series of glacier runoff for different river basins is of great significance to the sustainable development of the oasis economy in the arid zones.

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Evaluation of Precipitation Products by Using Multiple Hydrological Models over the Upper Yellow River Basin, China

Cited by 26 publications

References 53 publications

Application of a Conceptual Hydrological Model for Streamflow Prediction Using Multi-Source Precipitation Products in a Semi-Arid River Basin

Application of a Conceptual Hydrological Model for Streamflow Prediction Using Multi-Source Precipitation Products in a Semi-Arid River Basin

Impact of Climate Change on Water Resources in the Western Route Areas of the South-to-North Water Diversion Project

The Spatiotemporal Regime of Glacier Runoff in Oases Indicates the Potential Climatic Risk in Dryland Areas of China

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