Evaluation of Various Precipitation Products Using Ground-Based Discharge Observation at the Nujiang River Basin, China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Datasets
2.3. Methodology
3. Results
3.1. Comparison of Different Precipitation Products
3.2. Correction of Precipitation Products
3.3. Comparison of Simulated Discharges Driven by Precipitation Products
4. Discussion
5. Conclusions
- (1)
- All four precipitation products consistently underestimated the precipitation in the NR basin, for not incorporating enough ground-based observations;
- (2)
- By correcting the precipitation products based on the elevation gradient, all products were brought closer to the observed values.
- (3)
- MERRA2 data provide more accurate precipitation than the other products estimate in the upper NR basin using the corrected data which were then used to drive a hydrological model, the output of which was compared to the hydrological station data.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Qiu, J. The Third Pole. Nature 2008, 454, 393–396. [Google Scholar] [CrossRef] [PubMed]
- Zheng, D.; Zhang, Q.; Wu, S. Mountain Geoecology and Sustainable Development of the Tibetan Plateau; Springer: Berlin, Germany; Dordrecht, The Netherlands, 2000. [Google Scholar]
- Yang, K.; Ye, B.; Zhou, D.; Wu, B.; Foken, T.; Qin, J.; Zhou, Z. Response of hydrological cycle to recent climate changes in the Tibetan Plateau. Clim. Chang. 2011, 109, 517–534. [Google Scholar] [CrossRef]
- Kang, S.; Xu, Y.; You, Q.; Flügel, W.; Pepin, N.; Yao, T. Review of climate and cryospheric change in the Tibetan Plateau. Environ. Res. Lett. 2010, 5, 015101. [Google Scholar] [CrossRef]
- Bibi, S.; Wang, L.; Li, X.; Zhou, J.; Chen, D.; Yao, T. Climatic and associated cryospheric, biospheric, and hydrological changes on the Tibetan Plateau: A review. Int. J. Climatol. 2018, 38, E1–E17. [Google Scholar] [CrossRef]
- Yao, T.; Xue, Y.; Chen, D.; Chen, F.; Thompson, L.; Cui, P.; Koike, T.; Lau, W.; Lettenmaier, D.; Mosbrugger, V.; et al. Recent Third Pole’s rapid warming accompanies cryospheric melt and water cycle intensification and interactions between monsoon and environment: Multidisciplinary approach with observations, modeling, and analysis. Bull. Am. Meteorol. Soc. 2019, 100, 423–444. [Google Scholar] [CrossRef]
- Liu, D.; Shen, Y.; Wang, Z. Analysis of water resources characteristics in the Nujiang River basin. Yangtze River 2008, 39, 64–66. (In Chinese) [Google Scholar]
- Du, J.; Weng, H.; Yuan, L.; Ma, P.; Lhak, P. The climate characteristics and changing trends over the Nujiang River basin in Tibet from 1971 to 2008. Acta Geogr. Sin. 2009, 64, 581–591. (In Chinese) [Google Scholar]
- Zhou, K.; Du, J.; Yuan, L.; Ma, P.; Liu, Y. Response of climatic potential grassland productivity to climatic change in an alpine meadow area over the Nujiang basin, Tibet from 1980 to 2008. Acta Pratacunlturea Sin. 2010, 19, 17–24. (In Chinese) [Google Scholar]
- Yang, Y.; Du, J.; Luo, S.; Shi, L. On extreme precipitation events in the Nujiang River basin in Tibet in recent 40 years. Arid Zone Res. 2013, 30, 315–321. (In Chinese) [Google Scholar]
- Zhang, L.; Su, F.; Yang, D.; Hao, Z.; Tong, K. Discharge regime and simulation for the upstream of major rivers over Tibetan Plateau. J. Geophys. Res. Atmos. 2013, 118, 8500–8518. [Google Scholar] [CrossRef]
- Tong, K.; Su, F.; Yang, D.; Hao, Z. Evaluation of satellite precipitation retrievals and their potential utilities in hydrologic modeling over the Tibetan Plateau. J. Hydrol. 2014, 519, 423–437. [Google Scholar] [CrossRef]
- Liu, X.; Yang, T.; Hsu, K.; Liu, C.; Sorooshian, S. Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau. Hydrol. Earth Syst. Sci. 2017, 21, 169–181. [Google Scholar] [CrossRef] [Green Version]
- Chen, F.; Yuan, Y.; Fan, Z.; Yu, S. A winter precipitation reconstruction (CE 1810–2012) in the southeastern Tibetan Plateau and its relationship to Salween River streamflow variations. Pure Appl. Geophys. 2018, 175, 2279–2291. [Google Scholar] [CrossRef]
- Liu, S.; Ding, W.; Liu, C.; Liu, L.; Bajracharya, S.; Shrestha, A.; Pradhan, N. Estimating water availability across the upper Salween and Mekong River basins. Remote Sens. GIS Hydrol. Water Resour. 2015, 368, 343–349. [Google Scholar]
- SRTM 90m DEM Digital Elevation Database. Available online: http://srtm.csi.cgiar.org/ (accessed on 9 April 2019).
- Shrestha, M.; Koike, T.; Hirabayashi, Y.; Xue, Y.; Wang, L.; Rasul, G.; Ahmad, B. Integrated simulation of snow and glacier melt in water and energy balance-based, distributed hydrological modeling framework at hunza river basin of pakistan karakoram region. J. Geophys. Res. Atmos. 2015, 120, 4889–4919. [Google Scholar] [CrossRef]
- FAO. Digital soil map of the world and derived soil properties. In Land and Water Digital Media Series Rev. 1, United Nations Food and Agriculture Organization, CD-ROM; FAO: Rome, Italy, 2003. [Google Scholar]
- Land Data Assimilation Systems. Available online: https://ldas.gsfc.nasa.gov/gldas/ (accessed on 9 April 2019).
- Rodell, M.; Houser, P.; Jambor, U.; Gottschalck, J.; Mitchell, K.; Meng, C.; Arsenault, K.; Cosgrove, B.; Radakovich, J.; Bosilovich, M.; et al. The global land data assimilation system. Bull. Am. Meteorol. Soc. 2004, 85, 381–394. [Google Scholar] [CrossRef]
- Zhou, J.; Wang, L.; Zhang, Y.; Guo, Y.; He, D. Spatiotemporal variations of actual evapotranspiration over the Lake Selin Co and surrounding small lakes (Tibetan Plateau) during 2003–2012. Sci. China Earth Sci. 2016, 59, 2441–2453. [Google Scholar] [CrossRef]
- Qi, W.; Liu, J.; Chen, D. Evaluations and improvements of GLDAS2.0 and GLDAS2.1 forcing data’s applicability for basin scale hydrological simulations in the Tibetan Plateau. J. Geophys. Res. Atmos. 2018, 123, 13128–13148. [Google Scholar] [CrossRef]
- Moderate Resolution Imaging Spectroradiometer. Available online: https://modis.gsfc.nasa.gov/ (accessed on 9 April 2019).
- Tropical Rainfall Measuring Mission. Available online: https://trmm.gsfc.nasa.gov/ (accessed on 9 April 2019).
- Modern-Era Retrospective Analysis for Research and Applications, Version 2. Available online: https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/ (accessed on 9 April 2019).
- Yang, K.; He, J.; Tang, W.; Qin, J.; Cheng, C. On downward shortwave and longwave radiations over high altitude regions: Observation and modeling in the Tibetan Plateau. Agric. For. Meteorol. 2010, 150, 38–46. [Google Scholar] [CrossRef]
- China Meteorological Forcing Dataset. Available online: http://westdc.westgis.ac.cn/data/7a35329c-c53f-4267-aa07-e0037d913a21/ (accessed on 9 April 2019). (In Chinese).
- Xue, B.; Wang, L.; Li, X.; Yang, K.; Chen, D.; Sun, L. Evaluation of evapotranspiration estimates for two river basins on the Tibetan Plateau by a water balance method. J. Hydrol. 2013, 492, 290–297. [Google Scholar] [CrossRef]
- National Meteorological Information Center. Available online: http://data.cma.cn/ (accessed on 9 April 2019). (In Chinese).
- Jia, J.; Jiang, M.; Lv, S.; Bian, J. Comparative analysis of hydrological characteristics of Nujiang River and Salween River in China and Myanmar. Yangtze River 2014, S2, 9–11. (In Chinese) [Google Scholar]
- Wang, F.; Wang, X.; Yao, B.; Zhang, Z.; Shi, G.; Ma, Z.; Chen, Z.; Zhou, H. Effects of land-use types on soil organic carbon ttocks: A case study across an altitudinal gradient within a farmpastoral area on the eastern Qinghai-Tibetan Plateau, China. J. Mt. Sci. 2018, 12, 2693–2702. [Google Scholar] [CrossRef]
- Wang, L.; Koike, T.; Yang, K.; Jackson, T.; Bindlish, R.; Yang, D. Development of a distributed biosphere hydrological model and its evaluation with the southern great plains experiments (SGP97 and SGP99). J. Geophys. Res. 2009, 114, D08107. [Google Scholar] [CrossRef]
- Wang, L.; Zhou, J.; Qi, J.; Sun, L.; Yang, K.; Tian, L.; Lin, Y.; Liu, W.; Shrestha, M.; Xue, Y.; et al. Development of a land surface model with coupled snow and frozen soil physics. Water Resour. Res. 2017, 53, 5085–5103. [Google Scholar] [CrossRef]
- Wang, L.; Koike, T.; Yang, K.; Yeh, P. Assessment of a distributed biosphere hydrological model against streamflow and MODIS land surface temperature in the upper Tone River basin. J. Hydrol. 2009, 377, 21–34. [Google Scholar] [CrossRef]
- Qi, W.; Zhang, C.; Fu, G.; Sweetapple, C.; Zhou, H. Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations. Hydrol. Earth Syst. Sci. 2016, 20, 903–920. [Google Scholar] [CrossRef] [Green Version]
- Yoon, S.; Bae, D. Optimal rainfall estimation by considering elevation in the Han River basin, South Korea. J. Appl. Meteorol. Climatol. 2013, 52, 802–818. [Google Scholar] [CrossRef]
- Liu, J.; Xia, J.; She, D.; Li, L.; Wang, Q.; Zou, L. Evaluation of six satellite-based precipitation products and their ability for capturing characteristics of extreme precipitation events over a climate transition area in China. Remote Sens. 2019, 11, 1477. [Google Scholar] [CrossRef]
- Wu, H.; Adler, R.F.; Tian, Y. Evaluation of quantitative precipitation estimations through hydrological modeling in IFloodS River basins. J. Hydrometeorol. 2017, 18, 529–553. [Google Scholar] [CrossRef]
- Wang, L.; Koike, T.; Yang, D.; Yang, K. Improving the hydrology of the Simple Biosphere Model 2 and its evaluation within the framework of a distributed hydrological model. Hydrol. Sci. J. 2009, 54, 989–1006. [Google Scholar] [CrossRef] [Green Version]
- Shrestha, M.; Wang, L.; Koike, T.; Xue, Y.; Hirabayashi, Y. Improving the snow physics of WEB-DHM and its point evaluation at the SnowMIP sites. Hydrol. Earth Syst. Sci. 2010, 14, 2577–2594. [Google Scholar] [CrossRef] [Green Version]
- Shrestha, M.; Wang, L.; Koike, T. Simulation of interannual variability of snow cover at Valdai (Russia) using a distributed hydrological model with improved snow physics. J. Jpn. Soc. Civ. Eng. Ser. B1 2012, 67, 73–78. [Google Scholar] [CrossRef]
- Wang, L.; Koike, T.; Yang, K.; Jin, R.; Li, H. Frozen soil parameterization in a distributed biosphere hydrological model. Hydrol. Earth Syst. Sci. 2010, 14, 6895–6928. [Google Scholar] [CrossRef]
- Wang, L.; Sun, L.; Shrestha, M.; Li, X.; Liu, W.; Zhou, J.; Yang, K.; Lu, H.; Chen, D. Improving snow process modeling with Satellite-Based estimation of Near-Surface-Air-Temperature lapse rate. J. Geophys. Res. Atmos. 2016, 121, 12005–12030. [Google Scholar] [CrossRef]
- Zhou, J.; Wang, L.; Zhang, Y.; Guo, Y.; Li, X.; Liu, W. Exploring the water storage changes in the largest lake (Selin Co) over the Tibetan Plateau during 2003–2012 from a basin-wide hydrological modeling. Water Resour. Res. 2015, 51, 8060–8086. [Google Scholar] [CrossRef]
- Xue, B.; Wang, L.; Yang, K.; Tian, L.; Qin, J.; Chen, Y.; Zhao, L.; Ma, Y.; Koike, T.; Hu, Z.; et al. Modeling the land surface water and energy cycles of a mesoscale watershed in the central Tibetan Plateau during summer with a distributed hydrological model. J. Geophys. Res. Atmos. 2013, 118, 8857–8868. [Google Scholar] [CrossRef]
- Makokha, G.; Wang, L.; Zhou, J.; Li, X.; Wang, A.; Wang, G.; Kuria, D. Quantitative drought monitoring in a typical cold river basin over Tibetan Plateau: An integration of meteorological, agricultural and hydrological droughts. J. Hydrol. 2016, 543, 782–795. [Google Scholar] [CrossRef]
- Shrestha, M.; Koike, T.; Jaranilla-Sanchez, P.; Wang, L.; Wakazuki, Y. Assessment of hydrologic response to future climate change in the Tone River basin of Japan. J. Jpn. Soc. Civ. Eng. Ser. B1 (Hydraul. Eng.) 2016, 72, I_25–I_30. [Google Scholar] [CrossRef]
- Nash, J.; Sutcliffe, J. River flow forecasting through conceptual models part I—A discussion of principles. J. Hydrol. 1970, 10, 282–290. [Google Scholar] [CrossRef]
Products and Indices | GLDAS | TRMM | MREEA2 | CMFD | ||||
---|---|---|---|---|---|---|---|---|
R2 | k | R2 | k | R2 | k | R2 | k | |
Station I | 0.15 | 1.64 | 0.72 | 1.29 | 0.79 | 1.19 | 0.69 | 0.36 |
Station II | 0.05 | 1.48 | −0.18 | 1.10 | 0.28 | 0.96 | 0.84 | 0.84 |
Station III | 0.33 | 0.99 | 0.44 | 0.86 | 0.17 | 0.80 | 0.30 | 0.24 |
Station IV | 0.16 | 0.83 | 0.25 | 0.63 | 0.36 | 0.55 | 0.13 | 0.16 |
Station V | −0.13 | 0.60 | 0.59 | 0.51 | 0.09 | 0.49 | 0.43 | 0.44 |
Station VI | −0.44 | 0.60 | 0.35 | 0.49 | 0.21 | 0.56 | 0.18 | 0.42 |
Station VII | −0.07 | 0.52 | 0.19 | 0.39 | 0.15 | 0.37 | −0.08 | 0.29 |
Station VIII | −0.08 | 0.51 | −0.12 | 0.41 | −0.28 | 0.37 | −0.16 | 0.33 |
Station IX | −0.06 | 0.38 | −0.81 | 0.27 | −0.34 | 0.30 | −0.45 | 0.22 |
Station X | −0.03 | 0.52 | 0.36 | 0.41 | 0.20 | 0.38 | 0.29 | 0.34 |
Station XI | −0.15 | 0.58 | −0.03 | 0.45 | −0.01 | 0.43 | −0.07 | 0.37 |
Station XII | 0.08 | 0.38 | 0.15 | 0.31 | 0.02 | 0.28 | 0.02 | 0.25 |
Station XIII | −0.71 | 0.38 | −0.28 | 0.32 | 0.05 | 0.29 | −0.38 | 0.26 |
Station XIV | −1.41 | 0.60 | −0.70 | 0.50 | −0.26 | 0.53 | −0.29 | 0.42 |
Station XV | 0.12 | 0.33 | 0.55 | 0.27 | 0.28 | 0.26 | 0.21 | 0.22 |
Average | −0.146 | 0.099 | 0.114 | 0.111 |
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Mao, R.; Wang, L.; Zhou, J.; Li, X.; Qi, J.; Zhang, X. Evaluation of Various Precipitation Products Using Ground-Based Discharge Observation at the Nujiang River Basin, China. Water 2019, 11, 2308. https://doi.org/10.3390/w11112308
Mao R, Wang L, Zhou J, Li X, Qi J, Zhang X. Evaluation of Various Precipitation Products Using Ground-Based Discharge Observation at the Nujiang River Basin, China. Water. 2019; 11(11):2308. https://doi.org/10.3390/w11112308
Chicago/Turabian StyleMao, Renjie, Lei Wang, Jing Zhou, Xiuping Li, Jia Qi, and Xiaotao Zhang. 2019. "Evaluation of Various Precipitation Products Using Ground-Based Discharge Observation at the Nujiang River Basin, China" Water 11, no. 11: 2308. https://doi.org/10.3390/w11112308