Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-351-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-351-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jan 2018
Research article |
| 16 Jan 2018
| 16 Jan 2018
Investigating water budget dynamics in 18 river basins across the Tibetan Plateau through multiple datasets
Wenbin Liu
Key Laboratory of Water Cycle and Related Land Surface Processes,
Institute of Geographic Sciences and Natural Resources Research, Chinese
Academy of Sciences, Beijing 100101, China
Fubao Sun
CORRESPONDING AUTHOR
Key Laboratory of Water Cycle and Related Land Surface Processes,
Institute of Geographic Sciences and Natural Resources Research, Chinese
Academy of Sciences, Beijing 100101, China
Ecology Institute of Qilian Mountain, Hexi University, Zhangye 734000, China
College of Resources and Environment, University of Chinese Academy
of Sciences, Beijing 100049, China
Center for Water Resources Research, Chinese Academy of Sciences,
Beijing 100101, China
Yanzhong Li
College of Hydrometeorology, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Guoqing Zhang
Key Laboratory of Tibetan Environmental Changes and Land Surface
Processes, Institute of Tibetan Plateau Research, Chinese Academy of
Sciences, Beijing 100101, China
CAS Center for Excellent in Tibetan Plateau Earth Sciences, Beijing
100101, China
Yan-Fang Sang
Key Laboratory of Water Cycle and Related Land Surface Processes,
Institute of Geographic Sciences and Natural Resources Research, Chinese
Academy of Sciences, Beijing 100101, China
Wee Ho Lim
Key Laboratory of Water Cycle and Related Land Surface Processes,
Institute of Geographic Sciences and Natural Resources Research, Chinese
Academy of Sciences, Beijing 100101, China
Environmental Change Institute, Oxford University Centre for the
Environment, School of Geography and the Environment, University of Oxford,
Oxford OX1 3QY, UK
Jiahong Liu
Key Laboratory of Simulation and Regulation of Water Cycle in River
Basin, China Institute of Water Resources and Hydropower Research, Beijing
100038, China
Hong Wang
Key Laboratory of Water Cycle and Related Land Surface Processes,
Institute of Geographic Sciences and Natural Resources Research, Chinese
Academy of Sciences, Beijing 100101, China
Peng Bai
Key Laboratory of Water Cycle and Related Land Surface Processes,
Institute of Geographic Sciences and Natural Resources Research, Chinese
Academy of Sciences, Beijing 100101, China
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Reliable prediction of floods depends on the quality of the input data such as precipitation. However, estimation of precipitation from the local measurements is known to be difficult, especially for extremes. Regionalization improves the estimates by increasing the quantity of data available for estimation. Here, we compare three regionalization methods based on their robustness and reliability. We apply the comparison to a dense network of daily stations within and outside Switzerland.
András Bárdossy, Jochen Seidel, and Abbas El Hachem
Hydrol. Earth Syst. Sci., 25, 583–601, https://doi.org/10.5194/hess-25-583-2021, https://doi.org/10.5194/hess-25-583-2021, 2021
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In this study, the applicability of data from private weather stations (PWS) for precipitation interpolation was investigated. Due to unknown errors and biases in these observations, a two-step filter was developed that uses indicator correlations and event-based spatial precipitation patterns. The procedure was tested and cross validated for the state of Baden-Württemberg (Germany). The biggest improvement is achieved for the shortest time aggregations.
Sigrid J. Bakke, Monica Ionita, and Lena M. Tallaksen
Hydrol. Earth Syst. Sci., 24, 5621–5653, https://doi.org/10.5194/hess-24-5621-2020, https://doi.org/10.5194/hess-24-5621-2020, 2020
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This study provides an in-depth analysis of the 2018 northern European drought. Large parts of the region experienced 60-year record-breaking temperatures, linked to high-pressure systems and warm surrounding seas. Meteorological drought developed from May and, depending on local conditions, led to extreme low flows and groundwater drought in the following months. The 2018 event was unique in that it affected most of Fennoscandia as compared to previous droughts.
Bo Dan, Xiaogu Zheng, Guocan Wu, and Tao Li
Hydrol. Earth Syst. Sci., 24, 5187–5201, https://doi.org/10.5194/hess-24-5187-2020, https://doi.org/10.5194/hess-24-5187-2020, 2020
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Data assimilation is a procedure to generate an optimal combination of the state variable in geoscience, based on the model outputs and observations. The ensemble Kalman filter (EnKF) scheme is a widely used assimilation method in soil moisture estimation. This study proposed several modifications of EnKF for improving this assimilation. The study shows that the quality of the assimilation result is improved, while the degree of water budget imbalance is reduced.
Eric Pohl, Christophe Grenier, Mathieu Vrac, and Masa Kageyama
Hydrol. Earth Syst. Sci., 24, 2817–2839, https://doi.org/10.5194/hess-24-2817-2020, https://doi.org/10.5194/hess-24-2817-2020, 2020
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Existing approaches to quantify the emergence of climate change require several user choices that make these approaches less objective. We present an approach that uses a minimum number of choices and showcase its application in the extremely sensitive, permafrost-dominated region of eastern Siberia. Designed as a Python toolbox, it allows for incorporating climate model, reanalysis, and in situ data to make use of numerous existing data sources and reduce uncertainties in obtained estimates.
Eva Mekis, Ronald E. Stewart, Julie M. Theriault, Bohdan Kochtubajda, Barrie R. Bonsal, and Zhuo Liu
Hydrol. Earth Syst. Sci., 24, 1741–1761, https://doi.org/10.5194/hess-24-1741-2020, https://doi.org/10.5194/hess-24-1741-2020, 2020
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This article provides a Canada-wide analysis of near-0°C temperature conditions (±2°C) using hourly surface temperature and precipitation type observations from 92 locations for the 1981–2011 period. Higher annual occurrences were found in Atlantic Canada, although high values also occur in other regions. Trends of most indicators show little or no change despite a systematic warming over Canada. A higher than expected tendency for near-0°C conditions was also found at some stations.
Jianjun Zhang, Guangyao Gao, Bojie Fu, Cong Wang, Hoshin V. Gupta, Xiaoping Zhang, and Rui Li
Hydrol. Earth Syst. Sci., 24, 809–826, https://doi.org/10.5194/hess-24-809-2020, https://doi.org/10.5194/hess-24-809-2020, 2020
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We proposed an approach that integrates universal multifractals and a segmentation algorithm to precisely identify extreme precipitation (EP) and assess spatiotemporal EP variation over the Loess Plateau, using daily data. Our results explain how EP contributes to the widely distributed severe natural hazards. These findings are of great significance for ecological management in the Loess Plateau. Our approach is also helpful for spatiotemporal EP assessment at the regional scale.
Tongtiegang Zhao, Wei Zhang, Yongyong Zhang, Zhiyong Liu, and Xiaohong Chen
Hydrol. Earth Syst. Sci., 24, 1–16, https://doi.org/10.5194/hess-24-1-2020, https://doi.org/10.5194/hess-24-1-2020, 2020
Guoxiao Wei, Xiaoying Zhang, Ming Ye, Ning Yue, and Fei Kan
Hydrol. Earth Syst. Sci., 23, 2877–2895, https://doi.org/10.5194/hess-23-2877-2019, https://doi.org/10.5194/hess-23-2877-2019, 2019
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Accurately evaluating evapotranspiration (ET) is a critical challenge in improving hydrological process modeling. Here we evaluated four ET models (PM, SW, PT–FC, and AA) under the Bayesian framework. Our results reveal that the SW model has the best performance. This is in part because the SW model captures the main physical mechanism in ET; the other part is that the key parameters, such as the extinction factor, could be well constrained with observation data.
Chongli Di, Tiejun Wang, Xiaohua Yang, and Siliang Li
Hydrol. Earth Syst. Sci., 22, 5069–5079, https://doi.org/10.5194/hess-22-5069-2018, https://doi.org/10.5194/hess-22-5069-2018, 2018
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The original Grassberger–Procaccia algorithm for complex analysis was modified by incorporating the normal-based K-means clustering technique and the RANSAC algorithm. The calculation accuracy of the proposed method was shown to outperform traditional algorithms. The proposed algorithm was used to diagnose climate system complexity in the Hai He basin. The spatial patterns of the complexity of precipitation and air temperature reflected the influence of the dominant climate system.
César Cisneros Vaca, Christiaan van der Tol, and Chandra Prasad Ghimire
Hydrol. Earth Syst. Sci., 22, 3701–3719, https://doi.org/10.5194/hess-22-3701-2018, https://doi.org/10.5194/hess-22-3701-2018, 2018
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The influence of long-term changes in canopy structure on rainfall interception loss was studied in a 55-year old forest. Interception loss was similar at the same site (38 %), when the forest was 29 years old. In the past, the forest was denser and had a higher storage capacity, but the evaporation rates were lower. We emphasize the importance of quantifying downward sensible heat flux and heat release from canopy biomass in tall forest in order to improve the quantification of evaporation.
Sojung Park, Seon Ki Park, Jeung Whan Lee, and Yunho Park
Hydrol. Earth Syst. Sci., 22, 3435–3452, https://doi.org/10.5194/hess-22-3435-2018, https://doi.org/10.5194/hess-22-3435-2018, 2018
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Understanding the precipitation characteristics is essential to design an optimal observation network. We studied the spatial and temporal characteristics of summertime precipitation systems in Korea via geostatistical analyses on the ground-based precipitation and satellite water vapor data. We found that, under a strict standard, an observation network with higher resolution is required in local areas with frequent heavy rainfalls, depending on directional features of precipitation systems.
Harsh Beria, Trushnamayee Nanda, Deepak Singh Bisht, and Chandranath Chatterjee
Hydrol. Earth Syst. Sci., 21, 6117–6134, https://doi.org/10.5194/hess-21-6117-2017, https://doi.org/10.5194/hess-21-6117-2017, 2017
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High-quality satellite precipitation forcings have provided a viable alternative to hydrologic modeling in data-scarce regions. Ageing TRMM sensors have recently been upgraded to GPM, promising enhanced spatio-temporal resolutions. Statistical and hydrologic evaluation of GPM measurements across 86 Indian river basins revealed improved low rainfall estimates with reduced effects of climatology and topography.
James C. Bennett, Quan J. Wang, David E. Robertson, Andrew Schepen, Ming Li, and Kelvin Michael
Hydrol. Earth Syst. Sci., 21, 6007–6030, https://doi.org/10.5194/hess-21-6007-2017, https://doi.org/10.5194/hess-21-6007-2017, 2017
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We assess a new streamflow forecasting system in Australia. The system is designed to meet the need of water agencies for 12-month forecasts. The forecasts perform well in a wide range of rivers. Forecasts for shorter periods (up to 6 months) are generally informative. Forecasts sometimes did not perform well in a few very dry rivers. We test several techniques for improving streamflow forecasts in drylands, with mixed success.
Konrad Bogner, Katharina Liechti, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 21, 5493–5502, https://doi.org/10.5194/hess-21-5493-2017, https://doi.org/10.5194/hess-21-5493-2017, 2017
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The enhanced availability of many different weather prediction systems nowadays makes it very difficult for flood and water resource managers to choose the most reliable and accurate forecast. In order to circumvent this problem of choice, different approaches for combining this information have been applied at the Sihl River (CH) and the results have been verified. The outcome of this study highlights the importance of forecast combination in order to improve the quality of forecast systems.
Matthew B. Switanek, Peter A. Troch, Christopher L. Castro, Armin Leuprecht, Hsin-I Chang, Rajarshi Mukherjee, and Eleonora M. C. Demaria
Hydrol. Earth Syst. Sci., 21, 2649–2666, https://doi.org/10.5194/hess-21-2649-2017, https://doi.org/10.5194/hess-21-2649-2017, 2017
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The commonly used bias correction method called quantile mapping assumes a constant function of error correction values between modeled and observed distributions. Our article finds that this function cannot be assumed to be constant. We propose a new bias correction method, called scaled distribution mapping, that does not rely on this assumption. Furthermore, the proposed method more explicitly accounts for the frequency of rain days and the likelihood of individual events.
Tesfay G. Gebremicael, Yasir A. Mohamed, Pieter v. Zaag, and Eyasu Y. Hagos
Hydrol. Earth Syst. Sci., 21, 2127–2142, https://doi.org/10.5194/hess-21-2127-2017, https://doi.org/10.5194/hess-21-2127-2017, 2017
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This study was conducted to understand the spatio-temporal variations of streamflow in the Tekezē basin. Results showed rainfall over the basin did not significantly change. However, streamflow experienced high variabilities at seasonal and annual scales. Further studies are needed to verify hydrological changes by identifying the physical mechanisms behind those changes. Findings are useful as prerequisite for studying the effects of catchment management dynamics on the hydrological processes.
Louise Crochemore, Maria-Helena Ramos, Florian Pappenberger, and Charles Perrin
Hydrol. Earth Syst. Sci., 21, 1573–1591, https://doi.org/10.5194/hess-21-1573-2017, https://doi.org/10.5194/hess-21-1573-2017, 2017
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The use of general circulation model outputs for streamflow forecasting has developed in the last decade. In parallel, traditional streamflow forecasting is commonly based on historical data. This study investigates the impact of conditioning historical data based on circulation model precipitation forecasts on seasonal streamflow forecast quality. Results highlighted a trade-off between the sharpness and reliability of forecasts.
Louise Crochemore, Maria-Helena Ramos, and Florian Pappenberger
Hydrol. Earth Syst. Sci., 20, 3601–3618, https://doi.org/10.5194/hess-20-3601-2016, https://doi.org/10.5194/hess-20-3601-2016, 2016
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This study investigates the way bias correcting precipitation forecasts can improve the skill of streamflow forecasts at extended lead times. Eight variants of bias correction approaches based on the linear scaling and the distribution mapping methods are applied to the precipitation forecasts prior to generating the streamflow forecasts. One of the main results of the study is that distribution mapping of daily values is successful in improving forecast reliability.
P. Froidevaux, J. Schwanbeck, R. Weingartner, C. Chevalier, and O. Martius
Hydrol. Earth Syst. Sci., 19, 3903–3924, https://doi.org/10.5194/hess-19-3903-2015, https://doi.org/10.5194/hess-19-3903-2015, 2015
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We investigate precipitation characteristics prior to 4000 annual floods in Switzerland since 1961. The floods were preceded by heavy precipitation, but in most catchments extreme precipitation occurred only during the last 3 days prior to the flood events. Precipitation sums for earlier time periods (like e.g. 4-14 days prior to floods) were mostly average and do not correlate with the return period of the floods.
G. H. Fang, J. Yang, Y. N. Chen, and C. Zammit
Hydrol. Earth Syst. Sci., 19, 2547–2559, https://doi.org/10.5194/hess-19-2547-2015, https://doi.org/10.5194/hess-19-2547-2015, 2015
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This study compares the effects of five precipitation and three temperature correction methods on precipitation, temperature, and streamflow through loosely coupling RCM (RegCM) and a distributed hydrological model (SWAT) in terms of frequency-based indices and time-series-based indices. The methodology and results can be used for other regions and other RCM and hydrologic models, and for impact studies of climate change on water resources at a regional scale.
M. S. Siam and E. A. B. Eltahir
Hydrol. Earth Syst. Sci., 19, 1181–1192, https://doi.org/10.5194/hess-19-1181-2015, https://doi.org/10.5194/hess-19-1181-2015, 2015
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This paper explains the different natural modes of interannual variability in the flow of the Nile River and also presents a new index based on the sea surface temperature (SST) over the southern Indian Ocean to forecast the flow of the Nile River. It also presents a new hybrid forecasting algorithm that can be used to predict the Nile flow based on indices of the SST in the eastern Pacific and southern Indian oceans.
D. Halwatura, A. M. Lechner, and S. Arnold
Hydrol. Earth Syst. Sci., 19, 1069–1091, https://doi.org/10.5194/hess-19-1069-2015, https://doi.org/10.5194/hess-19-1069-2015, 2015
G. Panthou, T. Vischel, T. Lebel, G. Quantin, and G. Molinié
Hydrol. Earth Syst. Sci., 18, 5093–5107, https://doi.org/10.5194/hess-18-5093-2014, https://doi.org/10.5194/hess-18-5093-2014, 2014
D. Masson and C. Frei
Hydrol. Earth Syst. Sci., 18, 4543–4563, https://doi.org/10.5194/hess-18-4543-2014, https://doi.org/10.5194/hess-18-4543-2014, 2014
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The question of how to utilize information from the physiography/topography in the spatial interpolation of rainfall is a long-standing discussion in the literature. In this study we test ideas that go beyond the approach in popular interpolation schemes today. The key message of our study is that these ideas can at best marginally improve interpolation accuracy, even in a region where a clear benefit would intuitively be expected.
A. Casanueva, C. Rodríguez-Puebla, M. D. Frías, and N. González-Reviriego
Hydrol. Earth Syst. Sci., 18, 709–725, https://doi.org/10.5194/hess-18-709-2014, https://doi.org/10.5194/hess-18-709-2014, 2014
D. H. Yan, D. Wu, R. Huang, L. N. Wang, and G. Y. Yang
Hydrol. Earth Syst. Sci., 17, 2859–2871, https://doi.org/10.5194/hess-17-2859-2013, https://doi.org/10.5194/hess-17-2859-2013, 2013
F. Yusof, I. L. Kane, and Z. Yusop
Hydrol. Earth Syst. Sci., 17, 1311–1318, https://doi.org/10.5194/hess-17-1311-2013, https://doi.org/10.5194/hess-17-1311-2013, 2013
J. H. Lee, J. Timmermans, Z. Su, and M. Mancini
Hydrol. Earth Syst. Sci., 16, 4291–4302, https://doi.org/10.5194/hess-16-4291-2012, https://doi.org/10.5194/hess-16-4291-2012, 2012
L. Gudmundsson, J. B. Bremnes, J. E. Haugen, and T. Engen-Skaugen
Hydrol. Earth Syst. Sci., 16, 3383–3390, https://doi.org/10.5194/hess-16-3383-2012, https://doi.org/10.5194/hess-16-3383-2012, 2012
T. Bosshard, S. Kotlarski, T. Ewen, and C. Schär
Hydrol. Earth Syst. Sci., 15, 2777–2788, https://doi.org/10.5194/hess-15-2777-2011, https://doi.org/10.5194/hess-15-2777-2011, 2011
S. Nie, J. Zhu, and Y. Luo
Hydrol. Earth Syst. Sci., 15, 2437–2457, https://doi.org/10.5194/hess-15-2437-2011, https://doi.org/10.5194/hess-15-2437-2011, 2011
G. Ibarra-Berastegi, J. Saénz, A. Ezcurra, A. Elías, J. Diaz Argandoña, and I. Errasti
Hydrol. Earth Syst. Sci., 15, 1895–1907, https://doi.org/10.5194/hess-15-1895-2011, https://doi.org/10.5194/hess-15-1895-2011, 2011
R. Schiemann, R. Erdin, M. Willi, C. Frei, M. Berenguer, and D. Sempere-Torres
Hydrol. Earth Syst. Sci., 15, 1515–1536, https://doi.org/10.5194/hess-15-1515-2011, https://doi.org/10.5194/hess-15-1515-2011, 2011
A. Lü, S. Jia, W. Zhu, H. Yan, S. Duan, and Z. Yao
Hydrol. Earth Syst. Sci., 15, 1273–1281, https://doi.org/10.5194/hess-15-1273-2011, https://doi.org/10.5194/hess-15-1273-2011, 2011
G. Wang, A. J. Dolman, and A. Alessandri
Hydrol. Earth Syst. Sci., 15, 57–64, https://doi.org/10.5194/hess-15-57-2011, https://doi.org/10.5194/hess-15-57-2011, 2011
F. Garavaglia, J. Gailhard, E. Paquet, M. Lang, R. Garçon, and P. Bernardara
Hydrol. Earth Syst. Sci., 14, 951–964, https://doi.org/10.5194/hess-14-951-2010, https://doi.org/10.5194/hess-14-951-2010, 2010
Cited articles
Akhtar, M., Ahmad, N., and Booij, M. J.: Use of regional climate model simulations as input for hydrological models for the Hindukush-Karakorum-Himalaya region, Hydrol. Earth Syst. Sci., 13, 1075–1089, https://doi.org/10.5194/hess-13-1075-2009, 2009.
Bai, P., Liu, X. M., Yang, T. T., Liang, K., and Liu, C. M.: Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan Plateau, J. Geophys. Res.-Atmos., 121, 12180–12197, 2016.
Berrisford, P, Lee, D., Poli, P., Brugge, R., Fielding, K., Fuentes, M., Kallberg, P., Kobayashi, S., Uppala, S., and Simmons, A.: The ERA-interim archive, ERA Reports Series No. 1 Version 2.0, available at: https://www.researchgate.net/publication/41571692_The_ERA-interim_ archive (last access: 12 January 2018), 2011.
Bookhagen, B. and Burbank, D. W.: Toward a complete Himalayan hydrological budget: spatiotemporal distribution of snowmelt and rainfall and their impact on river discharge, J. Geophys. Res., 115, F03019, https://doi.org/10.1029/2009JF001426, 2010.
Bouraoui, F., Vachaud, G., Li, L. Z. X., LeTreut, H., and Chen, T.: Evaluation of the impact of climate changes on water storage and groundwater recharge at the watershed scale, Clim. Dynam., 15, 153–161, 1999.
Budyko, M. I.: Climate and life, Academic Press, 508 pp., 1974.
Chen, D., Xu, B., Yao, T., Guo, Z., Cui, P., Chen, F., Zhang, R., Zhang, X., Zhang, Y., Fan, J., Hou, Z., and Zhang, T.: Assessment of past, present and future environmental changes on the Tibetan Plateau, Chinese Sci. Bull., 60, 3025–3035, 2015 (in Chinese).
Cuo, L., Zhang, Y. X., Gao, Y., Hao, Z., and Cairang, L.: The impacts of climate change and land cover/use transition on the hydrology in the upper Yellow River Basin, China, J. Hydrol., 502, 37–52, 2013.
Cuo, L., Zhang, Y. X., Zhu, F. X., and Liang, L. Q.: Characteristics and changes of streamflow on the Tibetan Plateau: A review, J. Hydrol. Reg. Stud., 2, 49–68, 2014.
Cuo, L., Zhang, Y. X., Bohn, T. J., Zhao, L., Li, J. L., Liu, Q. M., and Zhou, B. R.: Frozen soil degradation and its effects on surface hydrology in the northern Tibetan Plateau, J. Geophys. Res.-Atmos., 120, 8276–8298, 2015.
Dong, W., Lin, Y., Wright, J. S., Ming, Y., Xie, Y., Wang, B., Luo, Y., Huang, W., Huang, J., Wang, L., Tian, L., Peng, Y., and Xu, F.: Summer rainfall over the southwestern Tibetan Plateau controlled by deep convection over the Indian Subcontinent, Nat. Commun., 7, 10925, https://doi.org/10.1038/ncomms10925, 2016.
Dong, X., Yao, Z., and Chen, C.: Runoff variation and responses to precipitation in the source regions of the Yellow River, Resour. Sci., 29, 67–73, 2007 (in Chinese).
Duan, A. M. and Wu, G. X.: Change of cloud amount and the climate warming on the Tibetan Plateau, Geophys. Res. Lett., 33, L22704, https://doi.org/10.1029/2006GL027946, 2006.
Fu, L., Chen, Y., Li, W., Xu, C., and He, B.: Influence of climate change on runoff and water resources in the headwaters of the Tarim River, Arid Land Geogr., 31, 237–242, 2008 (in Chinese).
Fu, L., Chen, Y., Li, W., He, B., and Xu, C.: Relation between climate change and runoff volume in the headwaters of the Tarim River during the last 50 years, J. Desert Res., 30, 204–209, 2010 (in Chinese).
Gao, Y. H., Cuo, L., and Zhang, Y. X.: Changes in moisture flux over the Tibetan Plateau during 1979–2011 and possible mechanisms, J. Climate, 27, 1876–1893, 2014.
Guo, W. Q., Liu, S. Y., Yao, X. J., Xu, J. L., Shangguan, D. H., Wu, L. Z., Zhao, J. D., Liu, Q., Jiang, Z. L., Wei, J. F., Bao, E. J., Yu, P. C., Ding, L. F., Li, G., Ge, C. M., and Wang, Y.: The Second Glacier Inventory Dataset of China, Cold and Arid Regions Science Data Center at Lanzhou, https://doi.org/10.3972/glacier.001.2013.db, 2014.
Hamed, K. H. and Rao, A. R.: A modified Mann-Kendall trend test for autocorrelation data, J. Hydrol., 204, 182–196, 1998.
Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 Dataset, Int. J. Climatol., 34, 623–642, 2014.
Huffman, G. J., Adler, R. F., Bolvin, D. T., and Nelkin, E. J.: last updated 2015: TRMM Version 7 3B42 and 3B43 Data Sets, NASA/GSFC, Greenbelt, MD, available at: http://pmm.nasa.gov/data-access/downloads/trmm (last access: 12 January 2018), 2012.
Immerzeel, W. W., van Beek, L. P. H., and Bierkens, M. F. P.: Climate change will affect the Asian water towers, Science, 328, 1382–1385, 2010.
Jung, M., Reichstein, M., Ciais, P., Seneviratne, S. I., Sheffield, J., Goulden, M. L., Bonan, G., Cescatti, A., Chen, J., de Jeu, R., Dolman, A. J., Eugster, W., Gerten, D., Gianelle, D., Gobron, N., Heinke, J., Kimball, J., Law, B. E., Montagnani, L., Mu, Q., Mueller, B., Oleson, K., Papale, D., Richardson, A. D., Roupsard, O., Running, S., Tomelleri, E., Viovy, N., Weber, U., Williams, C., Wood, E., Zaehle, S., and Zhang, K.: Recent decline in the global land evapotranspiration trend due to limited moisture supply, Nature, 467, 951–954, 2010.
Kobayashi, S., Ota, Y., Harada, Y., Ebita, A., Moriya, M., Onoda, H., Onogi, K., Kamahori, H., Kobayashi, C., Endo, H., Miyaoka, K., and Takahashi, K.: The JRA-55 Reanalysis: General specifications and basic characteristics, J. Meteorol. Soc. Jpn., 93, 5–58, https://doi.org/10.2151/jmsj.2015-001, 2015.
Landerer, F. W. and Swenson, S. C.: Accuracy of scaled GRACE terrestrial water storage estimates, Water Resour. Res., 48, W04531, https://doi.org/10.1029/2011WR011453, 2012.
Li, F. P., Zhang, Y. Q., Xu, Z. X., Teng, J., Liu, C. M., Liu, W. F., and Mpelasoka, F.: The impact of climate change on runoff in the southeastern Tibetan Plateau, J. Hydrol., 505, 188–201, 2013.
Li, F. P., Zhang, Y. Q., Xu, Z. X., Liu, C. M., Zhou, Y. C., and Liu, W. F.: Runoff predictions in ungauged catchments in southeast Tibetan Plateau, J. Hydrol., 511, 28–38, 2014.
Li, J. P. and Zeng, Q. C.: A unified monsoon index, Geophy. Res. Lett., 29, 1274, https://doi.org/10.1029/2001GL013874, 2002.
Li, X. P., Wang, L., Chen, D. L., Yang, K., and Wang, A. H.: Seasonal evapotranspiration changes (1983–2006) of four large basins on the Tibetan Plateau, J. Geophys. Res., 119, 13079–13095, 2014.
Liang, S. L. and Xiao, Z. Q.: Global Land Surface Products: Leaf Area Index Product Data Collection (1985–2010), Beijing Normal University, https://doi.org/10.6050/glass863.3004.db, 2012.
Liu, T.: Hydrological characteristics of Yalungzangbo River, Acta Geogr. Sin., 54, 157–164, 1999 (in Chinese).
Liu, W. B. and Sun, F. B.: Assessing estimates of evaporative demand in climate models using observed pan evaporation over China, J. Geophys. Res.-Atmos., 121, 8329–8349, 2016.
Liu, W. B., Wang, L., Zhou, J., Li, Y. Z., Sun, F. B., Fu, G. B., Li, X. P., and Sang, Y.-F.: A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method, J. Hydrol., 538, 82–95, 2016a.
Liu, W. B., Wang, L., Chen, D. L., Tu, K., Ruan, C. Q., and Hu, Z. Y.: Large-scale circulation classification and its links to observed precipitation in the eastern and central Tibetan Plateau, Clim. Dynam., 46, 3481–3497, 2016b.
Liu, X., Yang, T., Hsu, K., Liu, C., and 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., 21, 169–181, https://doi.org/10.5194/hess-21-169-2017, 2017.
Long, D., Shen, Y. J., Sun, A., Hong, Y., Longuevergne, L., Yang, Y. T., Li, B., and Chen, L.: Drought and flood monitoring for a large karst plateau in Southwest China using extended GRACE data, Remote Sens. Environ., 155, 145–160, 2014.
Lucchesi, R.: File specification for MERRA products, GMAO Office Note No.1 (version 2.3), 82 pp., available at: https://gmao.gsfc.nasa.gov/reanalysis/ (last access: 12 January 2018), 2012.
Ma, N., Zhang, Y. S., Guo, Y. H., Gao, H. F., Zhang, H. B., and Wang, Y. F.: Environmental and biophysical controls on the evapotranspiration over the highest alpine steppe, J. Hydrol., 529, 980–992, 2015.
Ma, N., Szilagyi, J., Niu, G. Y., Zhang, Y. S., Zhang, T., Wang, B. B., and Wu, Y. H.: Evaporation variability of Nam Co Lake in the Tibetan Plateau and its role in recent rapid lake expansion, J. Hydrol., 537, 27–35, 2016.
Mamat, A., Halik, W., and Yang, X.: The climatic changes of Qarqan river basin and its impact on the runoff, Xinjiang Agric. Sci., 47, 996–1001, 2010 (in Chinese).
McVicar, T. R., Roderick, M., Donohue, R. J., Li, L. T., Van Niel, T. G., Thomas, A., Grieser, J., Jhajharia, D., Himri, Y., Mahowald, N. M., Mescherskaya, A. V., Kruger, A. C., Rehman, S., and Dinpashoh, Y.: Global review and synthesis of trends in observed terrestrial near-surface wind speeds: implications for evaporation, J. Hydrol., 416–417, 182–205, 2012.
Miralles, D. G., Gash, J. H., Holmes, T. R. H., de Jeu, R. A. M, and Dolman, A. J.: Global canopy interception from satellite observations, J. Geophys. Res., 115, D16122, https://doi.org/10.1029/2009JD013530, 2010.
Miralles, D. G., De Jeu, R. A. M., Gash, J. H., Holmes, T. R. H., and Dolman, A. J.: Magnitude and variability of land evaporation and its components at the global scale, Hydrol. Earth Syst. Sci., 15, 967–981, https://doi.org/10.5194/hess-15-967-2011, 2011.
Oliveira, P. T. S., Mearing, M. A., Moran, M. S., Goodrich, D. C., Wendland, E., and Gupta, H. V.: Trends in water balance components across the Brazilian Cerrado, Water Resour. Res., 50, 7100–7114, 2014.
Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng, C.-J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., Entin, J. K., Walker, P., Lohmann, D., and Toll, D.: The global land data assimilation system, B. Am. Meteorol. Soc., 85, 381–394, 2004.
Rui, H.: README Document for Global Land Data Assimilation System Version 2 (GLDAS-2) Products, GES DISC, 2011.
Saji, N. H., Goswami, B. N., Vinayachandran, P. N., and Yamagata, T.: A dipole mode in the tropical Indian Ocearn, Nature, 401, 360–363, 1999.
Shen, M. G., Piao, S. L., Jeong, S., Zhou, L. M., Zeng, Z. Z., Ciais, P., Chen, D. L., Huang, M. T., Jin, C. S., Li, L. Z. X., Li, Y., Myneni, R. B., Yang, K., Zhang, G. X., Zhang, Y. J., and Yao, T. D.: Evporative cooling over the Tibetan Plateau induced by vegetation growth, P. Natl. Acad. Sci. USA, 112, 9299–9304, 2015.
Shepard, D. S.: Computer mapping: the SYMAP interpolation algorithm, Spatial Statistics and Models, edited by: Gaile, G. L., Willmott, C. J., and Reidel, D., Dordrecht: D. Reidel Publishing, 133–145, 1984.
Shi, Y. F., Shen, Y. P., Li, D. L., Zhang, G. W., Ding, Y. J., Hu, R. J., and Kang, E. S.: Discussion on the present climate change from Warm2dry to Warm2wet in northwest China, Quat. Sci., 23, 152–164, 2003 (in Chinese).
Sun, B., Mao, W., Feng, Y., Chang, T., Zhang, L., and Zhao, L.: Study on the change of air temperature, precipitation and runoff volume in the Yarkant River basin, Arid Zone Res., 23, 203–209, 2006 (in Chinese).
Takala, M., Luojus, K., Pulliainen, J., Derksen, C., Lemmetyinen, J., Kärnä, J.-P, Koskinen, J., and Bojkov, B.: Estimating northern hemisphere snow water equivalent for climate research through assimilation of spaceborne radiometer data and ground-based measurements, Remote Sens. Environ., 115, 3517–3529, 2011.
Tapley, B. D., Bettadpur, S., Watkins, M., and Randeigber, C.: The gravity recovery and climate experiment: mission overview and early results, Geophys. Res. Lett., 31, L09607, https://doi.org/10.1029/2004GL019920, 2004.
Tian, L., Yao, T., MacClune, K., White, J. W. C., Schilla, A., Vaughn, B., Vachon, R., and Ichiyanagi, K.: Stable isotopic variations in west China: a consideration of moisture sources, J. Geophys. Res.-Atmos., 112, D10112, https://doi.org/10.1029/2006JD007718, 2007.
Tucker, C. J., Pinzon, J. E., Brown, M. E., Slayback, D., Pak, E. W., Mahoney, R., Vermote, E., and El Saleous, N.: An extended AVHRR 8 km NDVI data set compatible with MODIS and SPOT vegetation NDVI data, Int. J. Remote Sens., 26, 4485–4498, 2005.
von Storch, H.: Misuses of statistical analysis in climate research, In Analysis of Climate Variability: Applications of Statistical Techniques, Springer-Verlag, Berlin, 11–26, 1995.
Wang, A. and Zeng, X.: Evaluation of multireanalysis products within site observations over the Tibetan Plateau, J. Geophys. Res., 117, D05102, https://doi.org/10.1029/2011JD016553, 2012.
Wang, L., Sun, L. T., Shrestha, M., Li, X. P., Liu, W. B., Zhou, J., Yang, K., Lu, H., and Chen, D. L.: Improving snow process modeling with satellite-based estimation of near-surface-air-temperature lapse rate, J. Geophys. Res.-Atmos., 121, 12005–12030, 2016.
Xia, Y., Mitchell, K., Ek, M., Cosgrove, B., Sheffield, J., Luo, L., Alonge, C., Wei, H., Meng, J., Livneh, B., and Duang, Q.: Continental-scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS-2): 2. Validation of model-simulated streamflow, J. Geophys. Res.-Atmos., 117, D03110, https://doi.org/10.1029/2011JD016048, 2012.
Xu, L.: The land surface water and energy budgets over the Tibetan Plateau, available from Nature Precedings: http://precedings.nature.com/documents/5587/version/1/files/npre20115587-1.pdf, 2011.
Xue, B. L., Wang, L., Yang, K., Tian, L., Qin, J., Chen, Y., Zhao, L., Ma, Y., Koike, T., Hu, Z., and Li, X. P.: Modeling the land surface water and energy cycle of a mesoscale watershed in the central Tibetan Plateau with a distributed hydrological model, J. Geophys. Res.-Atmos., 118, 8857–8868, 2013.
Yang, K., Qin, J., Zhao, L., Chen, Y. Y., Tang, W. J., Han, M. L., Lazhu, Chen, Z. Q., Lv, N., Ding, B. H., Wu, H., and Lin, C. G.: A multi-scale soil moisture and freeze-thaw monitoring network on the third pole, B. Am. Meteorol. Soc., 94,1907–1916, 2013.
Yang, K., Wu, H., Qin, J., Lin, C. G., Tang, W. J., and Chen, Y. Y.: Recent climate changes over the Tibetan Plateau and their impacts on energy and water cycle: a review, Global Planet. Change, 112, 79–91, 2014.
Yao, T. D., Thompson, L., Yang, W., Yu, W. S., Gao, Y., Guo, X. J., Yang, X. X., Duan, K. Q., Zhao, H. B., Xu, B. Q., Pu, J. C., Lu, A. X., Xiang, Y., Kattel, D. B., and Joswiak, D.: Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings, Nat. Clim. Change, 2, 1–5, 2012.
Yao, Y. J., Zhao, S. H., Zhang, Y .H., Jia, K., and Liu, M.: Spatial and decadal variations in potential evapotranspiration of China based on reanalysis datasets during 1982–2010, Atmosphere, 5, 737–754, 2014.
Yao, Z., Duan, R., and Liu, Z.: Changes in precipitation and air temperature and its impacts on runoff in the Nujiang River basins, Resour. Sci., 34, 202–210, 2012 (in Chinese).
Yin, G., Hu, Z. Y., Chen, X., and Tiyip, T.: Vegetation dynamics and its response to climate change in Central Asia, J. Arid Land, 8, 375, https://doi.org/10.1007/s40333-016-0043-6, 2016.
Yu, J., Zhang, G., Yao, T., Xie, H., Zhang, H., Ke, C., and Yao, R.: Developing daily cloud-free snow composite products from MODIS Terra-Aqua and IMS for the Tibetan Plateau, IEEE T. Geosci. Remote , 54, 2171–2180, 2015.
Yue, S., Pilon, P., Phinney, B., and Cavadias, G.: The influence of autocorrelation on the ability to detect trend in hydrological series, Hydrol. Process., 16, 1807–1829, 2002.
Zhang, D., Liu, X., Zhang, Q., Liang, K., and Liu, C.: Investigation of factors affecting intea-annual variability of evapotranspiration and streamflow under different climate conditions, J. Hydrol., 543, 759–769, 2016.
Zhang, G., Xie, H., Yao, T., Liang, T., and Kang, S.: Snow cover dynamics of four lake basins over Tibetan Plateau using time series MODIS data (2001–2100), Water Resour. Res., 48, W10529, https://doi.org/10.1029/2012WR011971, 2012.
Zhang, K., Kimball, J. S., Nemani, R. R., and Running, S. W.: A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006, Water Resour. Res., 46, W09522, https://doi.org/10.1029/2009WR008800, 2010.
Zhang, L., Su, F., Yang, D., Hao, Z., and Tong, K.: Discharge regime and simulation for the upstream of major rivers over Tibetan Plateau, J. Geophys. Res.-Atmos., 118, 8500–8518, 2013.
Zhang, Q., Li, J., Singh, V., and Xu, C.: Copula-based spatial-temporal patterns of precipitation extremes in China, Int. J. Climatol., 33, 1140–1152, 2013.
Zhang, X., Tang, Q., Pan, M., and Tang, Y.: A long-term land surface hydrologic fluxes and states dataset for China, J. Hydrometeorol., 15, 2067–2084, 2014.
Zhang, Y., Liu, C., Tang, Y., and Yang, Y.: Trend in pan evaporation and reference and actual evapotranspiration across the Tibetan Plateau, J. Geophys. Res., 112, D12110, https://doi.org/10.1029/2006JD008161, 2007.
Zhang, Y., Peña-Arancibia, J. L., McVicar, T. R., Chiew, F. H. S., Vaze, J., Liu, C. M., Lu, X. J., Zheng, H. X., Wang, Y. P., Liu, Y. Y., Miralles, D. G., and Pan, M.: Multi-decadal trends in global terrestrial evapotranspiration and its components, Scientific Reports, 6, 19124, https://doi.org/10.1038/srep19124, 2016.
Zhou, C., Jia, S., Yan, H., and Yang, G.: Changing trend of water resources in Qinghai Province from 1956 to 2000, J. Glaciol. Geocryol., 27, 432–437, 2005 (in Chinese).
Zhou, J., Wang, L., Zhang, Y. S., Guo, Y. H., Li, X. P., and Liu, W. B.: 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., 51, 8060–8086, 2015.
Zhou, S. Q., Kang, S., Chen, F., and Joswiak, D. R.: Water balance observations reveal significant subsurface water seepage from Lake Nam Co., south-central Tibetan Plateau, J. Hydrol., 491, 89–99, 2013.
Zhu, Y., Chen, J., and Chen, G.: Runoff variation and its impacting factors in the headwaters of the Yangtze River in recent 32 years, J. Yangtze River Sci. Res. Inst., 28, 1–4, 2011 (in Chinese).
Short summary
The dynamics of basin-scale water budgets over the Tibetan Plateau (TP) are not well understood nowadays due to the lack of hydro-climatic observations. In this study, we investigate seasonal cycles and trends of water budget components (e.g. precipitation P, evapotranspiration ET and runoff Q) in 18 TP river basins during the period 1982–2011 through the use of multi-source datasets (e.g. in situ observations, satellite retrievals, reanalysis outputs and land surface model simulations).
The dynamics of basin-scale water budgets over the Tibetan Plateau (TP) are not well understood...
