A new method for assessing satellite-based hydrological data products using water budget closure

•New method is proposed to assess accuracy of satellite products in ungauged basins.•Mutual cancellation in product errors is avoided in water budget closure.•Results of proposed method are examined by the application of FORM.•The proposed method showed lower dependence on precipitation. Remote sens...

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Published inJournal of hydrology (Amsterdam) Vol. 594; p. 125927
Main Authors Luo, Zengliang, Shao, Quanxi, Wan, Wei, Li, Huan, Chen, Xi, Zhu, Siyu, Ding, Xiangyi
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.03.2021
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Abstract •New method is proposed to assess accuracy of satellite products in ungauged basins.•Mutual cancellation in product errors is avoided in water budget closure.•Results of proposed method are examined by the application of FORM.•The proposed method showed lower dependence on precipitation. Remote sensing products have been widely used in water resources assessment and management. However, the accuracy varies in different products. Water budget closure provides an important breakthrough for better assessing the uncertainties and quantifying error sources of satellite-based data products using water budget imbalance, especially in ungauged basins where conventional verification methods are not applicable. However, the commonly used assessment methods mainly refer to closure residual of water budget ΔRes or its proportion to corresponding mean precipitation (P) ΔRes/P, which have apparent limitations due to the dimensional effects in the former method and the high dependence on precipitation in the latter one. More critically, these two methods do not consider measured values (referring to in-situ values in gauged basins or average values of multiple satellite products in ungauged basins as in this study) as benchmarks of water budget components in the assessment of satellite-based hydrological data products, resulting in a wrong choice because the closure result is subject to the mutual cancellation in the errors of water budget components from different satellite-based products. This study proposes a novel error-based method to assess the accuracy of satellite-based hydrological data products for both gauged and ungauged basins based on water budget equation, measured values, and the omission error (OE) which is generally overlooked in existing studies. The method is applied to a typical closed basin, the Tarim River Basin (TRB) of China, to verify the applicability and reliability of the proposed method. Sixty combinations of water budget components from various satellite sources can be designed based on five precipitation (P) products, four evapotranspiration (ET) products and three terrestrial water storage change (TWSC) products. First order reliability method (FORM) is employed to assess the reliability of water budget closure results caused by the errors of satellite sources. The results indicated that different combinations produced different annual ΔRes and ΔRes/P, indicating great water budget closure errors for different combinations due to errors in different satellite sources. The OE error from satellite-based hydrological data products of water budget components clearly showed a greater impact on water budget imbalance than water budget components, indicating that OE error is important for understanding quality of satellite products. By comparing the results of ΔRes and ΔRes/P, it can be seen that our proposed method had great advantages in assessment of satellite products with a low dependence on P, and a better comparability between different combinations. The value of our assessment criterion ranges from 0 to 1 which is easier to understand in practice. The combinations of water budget components from TRMM_3B43 (P), GPM_3IMERGHH (P), GLDAS_NOAH025 (ET), and GRACE (TWSC) products show satisfactory water budget closure results in TRB using our proposed method. The proposed method provides a new aspect for assessing the accuracy of satellite-based hydrological data products especially in ungauged basins, which provides insights into water resources management in basins.
AbstractList Remote sensing products have been widely used in water resources assessment and management. However, the accuracy varies in different products. Water budget closure provides an important breakthrough for better assessing the uncertainties and quantifying error sources of satellite-based data products using water budget imbalance, especially in ungauged basins where conventional verification methods are not applicable. However, the commonly used assessment methods mainly refer to closure residual of water budget ΔRes or its proportion to corresponding mean precipitation (P) ΔRes/P, which have apparent limitations due to the dimensional effects in the former method and the high dependence on precipitation in the latter one. More critically, these two methods do not consider measured values (referring to in-situ values in gauged basins or average values of multiple satellite products in ungauged basins as in this study) as benchmarks of water budget components in the assessment of satellite-based hydrological data products, resulting in a wrong choice because the closure result is subject to the mutual cancellation in the errors of water budget components from different satellite-based products. This study proposes a novel error-based method to assess the accuracy of satellite-based hydrological data products for both gauged and ungauged basins based on water budget equation, measured values, and the omission error (OE) which is generally overlooked in existing studies. The method is applied to a typical closed basin, the Tarim River Basin (TRB) of China, to verify the applicability and reliability of the proposed method. Sixty combinations of water budget components from various satellite sources can be designed based on five precipitation (P) products, four evapotranspiration (ET) products and three terrestrial water storage change (TWSC) products. First order reliability method (FORM) is employed to assess the reliability of water budget closure results caused by the errors of satellite sources. The results indicated that different combinations produced different annual ΔRes and ΔRes/P, indicating great water budget closure errors for different combinations due to errors in different satellite sources. The OE error from satellite-based hydrological data products of water budget components clearly showed a greater impact on water budget imbalance than water budget components, indicating that OE error is important for understanding quality of satellite products. By comparing the results of ΔRes and ΔRes/P, it can be seen that our proposed method had great advantages in assessment of satellite products with a low dependence on P, and a better comparability between different combinations. The value of our assessment criterion ranges from 0 to 1 which is easier to understand in practice. The combinations of water budget components from TRMM_3B43 (P), GPM_3IMERGHH (P), GLDAS_NOAH025 (ET), and GRACE (TWSC) products show satisfactory water budget closure results in TRB using our proposed method. The proposed method provides a new aspect for assessing the accuracy of satellite-based hydrological data products especially in ungauged basins, which provides insights into water resources management in basins.
•New method is proposed to assess accuracy of satellite products in ungauged basins.•Mutual cancellation in product errors is avoided in water budget closure.•Results of proposed method are examined by the application of FORM.•The proposed method showed lower dependence on precipitation. Remote sensing products have been widely used in water resources assessment and management. However, the accuracy varies in different products. Water budget closure provides an important breakthrough for better assessing the uncertainties and quantifying error sources of satellite-based data products using water budget imbalance, especially in ungauged basins where conventional verification methods are not applicable. However, the commonly used assessment methods mainly refer to closure residual of water budget ΔRes or its proportion to corresponding mean precipitation (P) ΔRes/P, which have apparent limitations due to the dimensional effects in the former method and the high dependence on precipitation in the latter one. More critically, these two methods do not consider measured values (referring to in-situ values in gauged basins or average values of multiple satellite products in ungauged basins as in this study) as benchmarks of water budget components in the assessment of satellite-based hydrological data products, resulting in a wrong choice because the closure result is subject to the mutual cancellation in the errors of water budget components from different satellite-based products. This study proposes a novel error-based method to assess the accuracy of satellite-based hydrological data products for both gauged and ungauged basins based on water budget equation, measured values, and the omission error (OE) which is generally overlooked in existing studies. The method is applied to a typical closed basin, the Tarim River Basin (TRB) of China, to verify the applicability and reliability of the proposed method. Sixty combinations of water budget components from various satellite sources can be designed based on five precipitation (P) products, four evapotranspiration (ET) products and three terrestrial water storage change (TWSC) products. First order reliability method (FORM) is employed to assess the reliability of water budget closure results caused by the errors of satellite sources. The results indicated that different combinations produced different annual ΔRes and ΔRes/P, indicating great water budget closure errors for different combinations due to errors in different satellite sources. The OE error from satellite-based hydrological data products of water budget components clearly showed a greater impact on water budget imbalance than water budget components, indicating that OE error is important for understanding quality of satellite products. By comparing the results of ΔRes and ΔRes/P, it can be seen that our proposed method had great advantages in assessment of satellite products with a low dependence on P, and a better comparability between different combinations. The value of our assessment criterion ranges from 0 to 1 which is easier to understand in practice. The combinations of water budget components from TRMM_3B43 (P), GPM_3IMERGHH (P), GLDAS_NOAH025 (ET), and GRACE (TWSC) products show satisfactory water budget closure results in TRB using our proposed method. The proposed method provides a new aspect for assessing the accuracy of satellite-based hydrological data products especially in ungauged basins, which provides insights into water resources management in basins.
ArticleNumber 125927
Author Wan, Wei
Chen, Xi
Ding, Xiangyi
Luo, Zengliang
Li, Huan
Shao, Quanxi
Zhu, Siyu
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  email: w.wan@pku.edu.cn
  organization: School of Earth and Space Sciences, Peking University, Beijing 100871, China
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  organization: School of Earth and Space Sciences, Peking University, Beijing 100871, China
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  givenname: Xiangyi
  surname: Ding
  fullname: Ding, Xiangyi
  email: dingxy@iwhr.com
  organization: Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
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Cites_doi 10.1175/JHM495.1
10.1175/BAMS-85-3-381
10.5194/hess-22-241-2018
10.1175/JHM-D-19-0255.1
10.1016/j.jhydrol.2017.02.027
10.1016/j.rse.2011.03.009
10.1029/2009GL037338
10.1016/j.gloplacha.2016.10.018
10.1038/sdata.2017.191
10.1029/2011JD015997
10.1016/j.jhydrol.2014.06.046
10.1007/s11430-010-0073-4
10.1038/s41558-019-0456-2
10.1175/JCLI-D-11-00300.1
10.1038/sdata.2015.66
10.1016/j.jhydrol.2020.125284
10.1016/j.jhydrol.2020.124579
10.1016/j.jhydrol.2014.02.058
10.3390/atmos9040138
10.1016/j.jhydrol.2020.124898
10.1016/j.scitotenv.2019.07.361
10.5194/hess-24-3677-2020
10.1007/s00382-020-05144-2
10.1038/sdata.2017.12
10.1002/2014JD021951
10.1016/j.quaint.2019.06.011
10.1175/JCLI-D-19-0036.1
10.1016/j.jhydrol.2019.05.021
10.1016/j.jhydrol.2020.124707
10.1175/JCLI-D-14-00555.1
10.1007/s10712-015-9354-y
10.1016/j.rse.2019.111338
10.1016/j.agwat.2018.03.004
10.1016/j.jhydrol.2019.124534
10.1002/vzj2.20032
10.1002/wrcr.20455
10.1175/JHM-D-13-0148.1
10.1002/2013WR014581
10.3390/rs11030255
10.1016/j.jag.2015.06.012
10.1016/j.jhydrol.2019.04.078
10.1080/02626667.2019.1612522
10.3389/feart.2019.00096
10.1016/j.jhydrol.2011.01.016
10.1002/hyp.10343
10.1016/j.advwatres.2017.03.010
10.1016/j.jhydrol.2019.124379
10.3319/TAO.2012.11.01.01(TibXS)
10.1186/s13717-019-0158-8
10.1002/eco.1255
10.1029/2019GL084173
10.1002/2014JD021953
10.1016/j.apm.2019.08.026
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Keywords Water budget closure
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References Shao, Fu, Li, Altan, Cheng (b0205) 2019; 232
Hassan, Kalin, White, Aladejana (b0090) 2020; 10
Abera, Formetta, Borga, Rigon (b0010) 2017; 104
Sahoo, Pan, Troy, Vinukollu, Sheffield, Wood (b0200) 2011; 115
Zhu, Gao, Xu, Tian (b0320) 2019; 64
Wang, Shen, Chen, Guo (b0270) 2013; 6
Chen, Sharma, Zhou, Yang, Li, Niu, Hu, Khadka (b0040) 2020
Pan, Sahoo, Troy, Vinukollu, Sheffield, Wood (b0180) 2012; 25
Bui, Nguyen, Nguyen, Pham, Nguyen, Pham (b0035) 2020; 581
McNally, Arsenault, Kumar, Shukla, Peterson, Wang, Funk, Peters-Lidard, Verdin (b0150) 2017; 4
Madsen, Krenk, Lind (b0145) 1986
Khan, Maggioni (b0115) 2019; 11
Yu, Li, Lewis, Blenkinsop, Fowler (b0300) 2020; 54
Abatzoglou, Dobrowski, Parks, Hegewisch (b0005) 2018; 5
Munier, Aires, Schlaffer, Prigent, Papa, Maisongrande, Pan (b0165) 2014; 119
Wang, Huang, Yang, Pavlic, Li (b0260) 2015; 29
Sheffield, Ferguson, Troy, Wood, McCabe (b0210) 2009; 36
Yao, Liang, Xie, Cheng, Jia, Li, Liu (b0295) 2014; 519
Yang, Xia, Zhang, Zhan, Sun (b0290) 2019; 693
Moreira, Ruhoff, Roberti, Souza, da Rocha, Paiva (b0155) 2019; 575
Shen, Yong, Gourley, Qi, Lu, Liu, Ren, Hong, Zhang (b0220) 2020; 591
Wang, McKenney, Shang, Li (b0265) 2014; 119
Shen, Su, Wang, Mao, Wang, Han, Wang, Li (b0215) 2013; 35
Rodell, Houser, Jambor, Gottschalck, Mitchell, Meng, Arsenault, Cosgrove, Radakovich, Bosilovich, Entin, Walker, Lohmann, Toll (b0195) 2004; 85
Paca, Espinoza-Dávalos, Hessels, Moreira, Comair, Bastiaanssen (b0170) 2019; 8
Funk, Peterson, Landsfeld, Pedreros, Verdin, Shukla, Husak, Rowland, Harrison, Hoell, Michaelsen (b0070) 2015; 2
Aires (b0020) 2014; 15
Zhang, Pan, Wood (b0305) 2016; 37
Zhao, Chen, Liu (b0315) 2020; 77
Swenson, S.C. (2012). GRACE monthly land water mass grids NETCDF RELEASE 5.0. Ver. 5.0. PO. DAAC, CA, USA.
Rodell, Beaudoing, L'Ecuyer, Olson, Famiglietti, Houser, Adler, Bosilovich, Clayson, Chambers, Clark, Fetzer, Gao, Gu, Hilburn, Huffman, Lettenmaier, Liu, Robertson, Wood (b0190) 2015; 28
Copernicus Climate Change Service (C3S). (2017). ERA5: Fifth generation of ECMWF atmospheric reanalysis of the global climate. Copernicus Climate Change Service Climate Data Store (CDS).
Xu, Wang, Sun, Wu, Li, Kang (b0285) 2019; 523
Wouters, Gardner, Moholdt (b0275) 2019; 7
Dagan, Stier, Watson‐Parris (b0060) 2019; 46
Tapley, Watkins, Flechtner, Reigber, Bettadpur, Rodell, Sasgen, Famiglietti, Landerer, Chambers, Reager, Gardner, Save, Ivins, Swenson, Boening, Dahle, Wiese, Dobslaw, Tamisiea, Velicogna (b0250) 2019; 9
Soltani, Ataie-Ashtiani, Danesh-Yazdi, Simmons (b0225) 2020; 586
Lv, Ma, Yuan, Lv, Li, Zheng (b0140) 2017; 547
Cui, Guo, Wang, Wang, Zhu, Shi, Lin, Gao (b0055) 2019; 574
Hobeichi, Abramowitz, Contractor, Evans (b0095) 2020; 21
Li, Shi, Tang, Zhang, Gao, Pan, Déry, Zhou (b0125) 2020; 583
Denager, Looms, Sonnenborg, Jensen (b0065) 2020; 19
Su, Wang, Wang, Wang, Jiang (b0235) 2016; 48
Gao, Ye, Zhang, Qiao, Zhang (b0075) 2010; 53
Zhang, Pan, Sheffield, Siemann, Fisher, Liang, Beck, Wanders, MacCracken, Houser, Zhou, Lettenmaier, Pinker, Bytheway, Kummerow, Wood (b0310) 2018; 22
Pan, Wood (b0175) 2006; 7
Hobeichi, Abramowitz, Evans (b0100) 2020; 33
Wang, Huang, Li, Rivera, McKenney, Sheffield (b0255) 2014; 512
Guo, Yang, Liu, Chang, Hwang (b0080) 2013; 24
Huffman, Stocker, Bolvin, Nelkin, Tan (b0110) 2019
Hartmann, Snow, Su, Jiang (b0085) 2016; 147
Long, Longuevergne, Scanlon (b0135) 2014; 50
Amjad, Yilmaz, Yucel, Yilmaz (b0025) 2020; 584
Liu, Yang, Lin, Zheng, Xie (b0130) 2020; 584
Huang, Wortmann, Duethmann, Menz, Shi, Zhao, Su, Krysanova (b0105) 2018; 203
Proulx, Knudson, Kirilenko, VanLooy, Zhang (b0185) 2013; 49
Azarderakhsh, Rossow, Papa, Norouzi, Khanbilvardi (b0030) 2011; 116
Kurkute, Li, Li, Huo (b0120) 2020; 24
Mu, Q., Zhao, M., & Steven, W. (2014). Running and Numerical Terradynamic Simulation Group: MODIS Global Terrestrial Evapotranspiration (ET) Product MOD16A2 Collection 5.
Xie, Meng, Zhu (b0280) 2019; 2019
Sorooshian, S., Hsu, K., Braithwaite, D., Ashouri, H., & NOAA CDR Program. (2014). NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1.
Tao, Gemmer, Bai, Su, Mao (b0245) 2011; 400
Adler, Sapiano, Huffman, Wang, Gu, Bolvin, Chiu, Schneider, Becker, Nelkin, Xie, Ferraro, Shin (b0015) 2018; 9
Sheffield (10.1016/j.jhydrol.2020.125927_b0210) 2009; 36
10.1016/j.jhydrol.2020.125927_b0230
Zhu (10.1016/j.jhydrol.2020.125927_b0320) 2019; 64
Cui (10.1016/j.jhydrol.2020.125927_b0055) 2019; 574
Shen (10.1016/j.jhydrol.2020.125927_b0215) 2013; 35
Tapley (10.1016/j.jhydrol.2020.125927_b0250) 2019; 9
Huffman (10.1016/j.jhydrol.2020.125927_b0110) 2019
Azarderakhsh (10.1016/j.jhydrol.2020.125927_b0030) 2011; 116
Rodell (10.1016/j.jhydrol.2020.125927_b0190) 2015; 28
Wang (10.1016/j.jhydrol.2020.125927_b0255) 2014; 512
Wang (10.1016/j.jhydrol.2020.125927_b0265) 2014; 119
Bui (10.1016/j.jhydrol.2020.125927_b0035) 2020; 581
Hobeichi (10.1016/j.jhydrol.2020.125927_b0100) 2020; 33
Hassan (10.1016/j.jhydrol.2020.125927_b0090) 2020; 10
Hartmann (10.1016/j.jhydrol.2020.125927_b0085) 2016; 147
Yang (10.1016/j.jhydrol.2020.125927_b0290) 2019; 693
Denager (10.1016/j.jhydrol.2020.125927_b0065) 2020; 19
Zhang (10.1016/j.jhydrol.2020.125927_b0310) 2018; 22
Su (10.1016/j.jhydrol.2020.125927_b0235) 2016; 48
10.1016/j.jhydrol.2020.125927_b0240
Kurkute (10.1016/j.jhydrol.2020.125927_b0120) 2020; 24
10.1016/j.jhydrol.2020.125927_b0160
Li (10.1016/j.jhydrol.2020.125927_b0125) 2020; 583
Shen (10.1016/j.jhydrol.2020.125927_b0220) 2020; 591
Wouters (10.1016/j.jhydrol.2020.125927_b0275) 2019; 7
Yu (10.1016/j.jhydrol.2020.125927_b0300) 2020; 54
Pan (10.1016/j.jhydrol.2020.125927_b0175) 2006; 7
Liu (10.1016/j.jhydrol.2020.125927_b0130) 2020; 584
Madsen (10.1016/j.jhydrol.2020.125927_b0145) 1986
Wang (10.1016/j.jhydrol.2020.125927_b0260) 2015; 29
Khan (10.1016/j.jhydrol.2020.125927_b0115) 2019; 11
Long (10.1016/j.jhydrol.2020.125927_b0135) 2014; 50
Soltani (10.1016/j.jhydrol.2020.125927_b0225) 2020; 586
Yao (10.1016/j.jhydrol.2020.125927_b0295) 2014; 519
Amjad (10.1016/j.jhydrol.2020.125927_b0025) 2020; 584
Xu (10.1016/j.jhydrol.2020.125927_b0285) 2019; 523
McNally (10.1016/j.jhydrol.2020.125927_b0150) 2017; 4
Hobeichi (10.1016/j.jhydrol.2020.125927_b0095) 2020; 21
Dagan (10.1016/j.jhydrol.2020.125927_b0060) 2019; 46
Zhao (10.1016/j.jhydrol.2020.125927_b0315) 2020; 77
10.1016/j.jhydrol.2020.125927_b0050
Abera (10.1016/j.jhydrol.2020.125927_b0010) 2017; 104
Shao (10.1016/j.jhydrol.2020.125927_b0205) 2019; 232
Zhang (10.1016/j.jhydrol.2020.125927_b0305) 2016; 37
Chen (10.1016/j.jhydrol.2020.125927_b0040) 2020
Tao (10.1016/j.jhydrol.2020.125927_b0245) 2011; 400
Rodell (10.1016/j.jhydrol.2020.125927_b0195) 2004; 85
Sahoo (10.1016/j.jhydrol.2020.125927_b0200) 2011; 115
Moreira (10.1016/j.jhydrol.2020.125927_b0155) 2019; 575
Huang (10.1016/j.jhydrol.2020.125927_b0105) 2018; 203
Funk (10.1016/j.jhydrol.2020.125927_b0070) 2015; 2
Proulx (10.1016/j.jhydrol.2020.125927_b0185) 2013; 49
Xie (10.1016/j.jhydrol.2020.125927_b0280) 2019; 2019
Lv (10.1016/j.jhydrol.2020.125927_b0140) 2017; 547
Paca (10.1016/j.jhydrol.2020.125927_b0170) 2019; 8
Aires (10.1016/j.jhydrol.2020.125927_b0020) 2014; 15
Wang (10.1016/j.jhydrol.2020.125927_b0270) 2013; 6
Abatzoglou (10.1016/j.jhydrol.2020.125927_b0005) 2018; 5
Pan (10.1016/j.jhydrol.2020.125927_b0180) 2012; 25
Gao (10.1016/j.jhydrol.2020.125927_b0075) 2010; 53
Guo (10.1016/j.jhydrol.2020.125927_b0080) 2013; 24
Adler (10.1016/j.jhydrol.2020.125927_b0015) 2018; 9
Munier (10.1016/j.jhydrol.2020.125927_b0165) 2014; 119
References_xml – volume: 203
  start-page: 207
  year: 2018
  end-page: 224
  ident: b0105
  article-title: Adaptation strategies of agriculture and water management to climate change in the Upper Tarim River basin, NW China
  publication-title: Agric. Water Manag.
– volume: 64
  start-page: 910
  year: 2019
  end-page: 920
  ident: b0320
  article-title: Merging multi-source precipitation products or merging their simulated hydrological flows to improve streamflow simulation
  publication-title: Hydrol. Sci. J.
– volume: 575
  start-page: 131
  year: 2019
  end-page: 147
  ident: b0155
  article-title: Assessment of terrestrial water balance using remote sensing data in South America
  publication-title: J. Hydrol.
– volume: 28
  start-page: 8289
  year: 2015
  end-page: 8318
  ident: b0190
  article-title: The observed state of the water cycle in the early 21st century
  publication-title: J. Clim.
– volume: 104
  start-page: 37
  year: 2017
  end-page: 54
  ident: b0010
  article-title: Estimating the water budget components and their variability in a pre-alpine basin with JGrass-NewAGE
  publication-title: Adv. Water Resour.
– volume: 523
  start-page: 25
  year: 2019
  end-page: 36
  ident: b0285
  article-title: Water balance change and its implications to vegetation in the Tarim River Basin, Central Asia
  publication-title: Quat. Int.
– volume: 49
  start-page: 5756
  year: 2013
  end-page: 5764
  ident: b0185
  article-title: Significance of surface water in the terrestrial water budget: a case study in the Prairie Coteau using GRACE, GLDAS, Landsat, and groundwater well data
  publication-title: Water Resour. Res.
– volume: 10
  start-page: 21
  year: 2020
  end-page: 39
  ident: b0090
  article-title: Evaluation of daily gridded meteorological datasets over the Niger delta region of Nigeria and implication to water resources management
  publication-title: Atmos. Clim. Sci.
– volume: 581
  year: 2020
  ident: b0035
  article-title: Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping
  publication-title: J. Hydrol.
– volume: 232
  year: 2019
  ident: b0205
  article-title: Remote sensing monitoring of multi-scale watersheds impermeability for urban hydrological evaluation
  publication-title: Remote Sens. Environ.
– volume: 33
  start-page: 1821
  year: 2020
  end-page: 1844
  ident: b0100
  article-title: Conserving Land-Atmosphere Synthesis Suite (CLASS)
  publication-title: J. Clim.
– volume: 591
  year: 2020
  ident: b0220
  article-title: Recent global performance of the Climate Hazards group Infrared Precipitation (CHIRP) with Stations (CHIRPS)
  publication-title: J. Hydrol.
– volume: 29
  start-page: 2125
  year: 2015
  end-page: 2136
  ident: b0260
  article-title: Long-term water budget imbalances and error sources for cold region drainage basins
  publication-title: Hydrol. Process.
– year: 2020
  ident: b0040
  article-title: Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya
  publication-title: Atmos. Res.
– volume: 693
  year: 2019
  ident: b0290
  article-title: How is the risk of hydrological drought in the Tarim River Basin, Northwest China?
  publication-title: Sci. Total Environ.
– reference: Mu, Q., Zhao, M., & Steven, W. (2014). Running and Numerical Terradynamic Simulation Group: MODIS Global Terrestrial Evapotranspiration (ET) Product MOD16A2 Collection 5.
– reference: Swenson, S.C. (2012). GRACE monthly land water mass grids NETCDF RELEASE 5.0. Ver. 5.0. PO. DAAC, CA, USA.
– reference: Copernicus Climate Change Service (C3S). (2017). ERA5: Fifth generation of ECMWF atmospheric reanalysis of the global climate. Copernicus Climate Change Service Climate Data Store (CDS).
– volume: 583
  start-page: 124579
  year: 2020
  ident: b0125
  article-title: Partitioning the contributions of glacier melt and precipitation to the 1971–2010 runoff increases in a headwater basin of the Tarim River
  publication-title: J. Hydrol.
– volume: 2019
  start-page: H22F
  year: 2019
  end-page: H108
  ident: b0280
  article-title: Vegetation dynamics regulating evapotranspiration through direct and indirect processes: remote sensing and land-surface hydrological modeling
  publication-title: AGUFM
– volume: 400
  start-page: 1
  year: 2011
  end-page: 9
  ident: b0245
  article-title: Trends of streamflow in the Tarim River Basin during the past 50years: Human impact or climate change?
  publication-title: J. Hydrol.
– volume: 584
  year: 2020
  ident: b0130
  article-title: Comparison and evaluation of multiple land surface products for the water budget in the Yellow River Basin
  publication-title: J. Hydrol.
– volume: 512
  start-page: 1
  year: 2014
  end-page: 15
  ident: b0255
  article-title: Assessment of water budget for sixteen large drainage basins in Canada
  publication-title: J. Hydrol.
– volume: 36
  year: 2009
  ident: b0210
  article-title: Closing the terrestrial water budget from satellite remote sensing
  publication-title: Geophys. Res. Lett.
– volume: 574
  start-page: 892
  year: 2019
  end-page: 902
  ident: b0055
  article-title: Application of remote sensing to water environmental processes under a changing climate
  publication-title: J. Hydrol.
– volume: 48
  start-page: 122
  year: 2016
  end-page: 130
  ident: b0235
  article-title: Spatiotemporal variations of soil moisture in the Tarim River basin, China
  publication-title: Int. J. Appl. Earth Obs. Geoinf.
– volume: 19
  year: 2020
  ident: b0065
  article-title: Comparison of evapotranspiration estimates using the water balance and the eddy covariance methods
  publication-title: Vadose Zone J.
– volume: 9
  year: 2018
  ident: b0015
  article-title: The Global Precipitation Climatology Project (GPCP) monthly analysis (New Version 2.3) and a review of 2017 global precipitation
  publication-title: Atmosphere
– volume: 50
  start-page: 1131
  year: 2014
  end-page: 1151
  ident: b0135
  article-title: Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites
  publication-title: Water Resour. Res.
– volume: 4
  year: 2017
  ident: b0150
  article-title: A land data assimilation system for sub-Saharan Africa food and water security applications
  publication-title: Sci. Data
– volume: 115
  start-page: 1850
  year: 2011
  end-page: 1865
  ident: b0200
  article-title: Reconciling the global terrestrial water budget using satellite remote sensing
  publication-title: Remote Sens. Environ.
– volume: 6
  start-page: 927
  year: 2013
  end-page: 936
  ident: b0270
  article-title: Vegetation dynamics and their response to hydroclimatic factors in the Tarim river basin, China
  publication-title: Ecohydrology
– volume: 37
  start-page: 249
  year: 2016
  end-page: 268
  ident: b0305
  article-title: On creating global gridded terrestrial water budget estimates from satellite remote sensing
  publication-title: Surv. Geophys.
– volume: 8
  start-page: 6
  year: 2019
  ident: b0170
  article-title: The spatial variability of actual evapotranspiration across the Amazon River Basin based on remote sensing products validated with flux towers
  publication-title: Ecol Process
– volume: 7
  start-page: 534
  year: 2006
  end-page: 547
  ident: b0175
  article-title: Data assimilation for estimating the terrestrial water budget using a constrained ensemble kalman filter
  publication-title: J. Hydrometeorol.
– volume: 9
  start-page: 358
  year: 2019
  end-page: 369
  ident: b0250
  article-title: Contributions of GRACE to understanding climate change
  publication-title: Nat. Clim. Chang.
– volume: 586
  year: 2020
  ident: b0225
  article-title: A probabilistic framework for water budget estimation in low runoff regions: a case study of the central Basin of Iran
  publication-title: J. Hydrol.
– volume: 119
  start-page: 8712
  year: 2014
  end-page: 8725
  ident: b0265
  article-title: A national-scale assessment of long-term water budget closures for Canada's watersheds
  publication-title: J. Geophys. Res. –Atmos.
– volume: 53
  start-page: 880
  year: 2010
  end-page: 891
  ident: b0075
  article-title: Glacier runoff variation and its influence on river runoff during 1961–2006 in the Tarim River Basin, China
  publication-title: Sci. China Earth Sci.
– volume: 21
  start-page: 989
  year: 2020
  end-page: 1009
  ident: b0095
  article-title: Evaluating precipitation datasets using surface water and energy budget closure
  publication-title: J. Hydrometeorol.
– volume: 54
  start-page: 2919
  year: 2020
  end-page: 2940
  ident: b0300
  article-title: UKGrsHP: a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis dataset
  publication-title: Clim. Dyn.
– volume: 24
  start-page: 3677
  year: 2020
  end-page: 3697
  ident: b0120
  article-title: Assessment and projection of the water budget over western Canada using convection-permitting weather research and forecasting simulations
  publication-title: Hydrol. Earth Syst. Sci.
– volume: 15
  start-page: 1677
  year: 2014
  end-page: 1691
  ident: b0020
  article-title: Combining datasets of satellite-retrieved products. part I: methodology and water budget Closure
  publication-title: J. Hydrometeorol.
– volume: 147
  start-page: 86
  year: 2016
  end-page: 96
  ident: b0085
  article-title: Seasonal predictions of precipitation in the Aksu-Tarim River basin for improved water resources management
  publication-title: Global Planet. Change
– volume: 77
  start-page: 1545
  year: 2020
  end-page: 1563
  ident: b0315
  article-title: An effective first order reliability method based on Barzilai-Borwein step
  publication-title: Appl. Math. Model.
– volume: 25
  start-page: 3191
  year: 2012
  end-page: 3206
  ident: b0180
  article-title: Multisource estimation of long-term terrestrial water budget for major global river basins
  publication-title: J. Climate
– volume: 2
  year: 2015
  ident: b0070
  article-title: The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes
  publication-title: Sci. Data
– volume: 547
  start-page: 585
  year: 2017
  end-page: 599
  ident: b0140
  article-title: Water budget closure based on GRACE measurements and reconstructed evapotranspiration using GLDAS and water use data for two large densely-populated mid-latitude basins
  publication-title: J. Hydrol.
– volume: 35
  start-page: 513
  year: 2013
  end-page: 527
  ident: b0215
  article-title: The responses of glaciers and snow cover to climate change in Xinjiang(I): hydrological effect
  publication-title: J. Glaciol. Geocryol.
– volume: 5
  year: 2018
  ident: b0005
  article-title: TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015
  publication-title: Sci. Data
– volume: 116
  year: 2011
  ident: b0030
  article-title: Diagnosing water variations within the Amazon basin using satellite data
  publication-title: J. Geophys. Res.
– volume: 584
  start-page: 124707
  year: 2020
  ident: b0025
  article-title: Performance evaluation of satellite- and model-based precipitation products over varying climate and complex topography
  publication-title: J. Hydrol.
– volume: 24
  start-page: 565
  year: 2013
  end-page: 579
  ident: b0080
  article-title: Decadal variation in surface characteristics over Xinjiang, Western China, from TAP altimetry backscatter coefficients: evidence of climate change
  publication-title: Terr. Atmos. Oceanic Sci.
– volume: 11
  start-page: 255
  year: 2019
  ident: b0115
  article-title: Assessment of level-3 gridded Global Precipitation Mission (GPM) products over oceans
  publication-title: Remote Sens.
– volume: 46
  start-page: 10504
  year: 2019
  end-page: 10511
  ident: b0060
  article-title: Analysis of the atmospheric water budget for elucidating the spatial scale of precipitation changes under climate change
  publication-title: Geophys. Res. Lett.
– volume: 7
  start-page: 96
  year: 2019
  ident: b0275
  article-title: Global glacier mass loss during the GRACE satellite mission (2002–2016)
  publication-title: Front. Earth Sci.
– year: 1986
  ident: b0145
  article-title: Methods of Structural Safety
– reference: Sorooshian, S., Hsu, K., Braithwaite, D., Ashouri, H., & NOAA CDR Program. (2014). NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1.
– volume: 119
  start-page: 12100
  year: 2014
  end-page: 12116
  ident: b0165
  article-title: Combining data sets of satellite-retrieved products for basin-scale water balance study: 2. Evaluation on the Mississippi Basin and closure correction model
  publication-title: J. Geophys. Res. –Atmos.
– volume: 85
  start-page: 381
  year: 2004
  end-page: 394
  ident: b0195
  article-title: The global land data assimilation system
  publication-title: Bull. Amer. Meteor. Soc.
– year: 2019
  ident: b0110
  article-title: GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06, Goddard Earth Sciences
– volume: 22
  start-page: 241
  year: 2018
  end-page: 263
  ident: b0310
  article-title: A Climate Data Record (CDR) for the global terrestrial water budget: 1984–2010
  publication-title: Hydrol. Earth Syst. Sci.
– volume: 519
  start-page: 50
  year: 2014
  end-page: 68
  ident: b0295
  article-title: Estimation of the terrestrial water budget over northern China by merging multiple datasets
  publication-title: J. Hydrol.
– volume: 7
  start-page: 534
  issue: 3
  year: 2006
  ident: 10.1016/j.jhydrol.2020.125927_b0175
  article-title: Data assimilation for estimating the terrestrial water budget using a constrained ensemble kalman filter
  publication-title: J. Hydrometeorol.
  doi: 10.1175/JHM495.1
– volume: 85
  start-page: 381
  issue: 3
  year: 2004
  ident: 10.1016/j.jhydrol.2020.125927_b0195
  article-title: The global land data assimilation system
  publication-title: Bull. Amer. Meteor. Soc.
  doi: 10.1175/BAMS-85-3-381
– volume: 22
  start-page: 241
  year: 2018
  ident: 10.1016/j.jhydrol.2020.125927_b0310
  article-title: A Climate Data Record (CDR) for the global terrestrial water budget: 1984–2010
  publication-title: Hydrol. Earth Syst. Sci.
  doi: 10.5194/hess-22-241-2018
– volume: 35
  start-page: 513
  year: 2013
  ident: 10.1016/j.jhydrol.2020.125927_b0215
  article-title: The responses of glaciers and snow cover to climate change in Xinjiang(I): hydrological effect
  publication-title: J. Glaciol. Geocryol.
– year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0040
  article-title: Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya
  publication-title: Atmos. Res.
– volume: 21
  start-page: 989
  issue: 5
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0095
  article-title: Evaluating precipitation datasets using surface water and energy budget closure
  publication-title: J. Hydrometeorol.
  doi: 10.1175/JHM-D-19-0255.1
– volume: 547
  start-page: 585
  year: 2017
  ident: 10.1016/j.jhydrol.2020.125927_b0140
  article-title: Water budget closure based on GRACE measurements and reconstructed evapotranspiration using GLDAS and water use data for two large densely-populated mid-latitude basins
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2017.02.027
– volume: 115
  start-page: 1850
  issue: 8
  year: 2011
  ident: 10.1016/j.jhydrol.2020.125927_b0200
  article-title: Reconciling the global terrestrial water budget using satellite remote sensing
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2011.03.009
– volume: 36
  issue: 7
  year: 2009
  ident: 10.1016/j.jhydrol.2020.125927_b0210
  article-title: Closing the terrestrial water budget from satellite remote sensing
  publication-title: Geophys. Res. Lett.
  doi: 10.1029/2009GL037338
– volume: 147
  start-page: 86
  year: 2016
  ident: 10.1016/j.jhydrol.2020.125927_b0085
  article-title: Seasonal predictions of precipitation in the Aksu-Tarim River basin for improved water resources management
  publication-title: Global Planet. Change
  doi: 10.1016/j.gloplacha.2016.10.018
– volume: 5
  issue: 1
  year: 2018
  ident: 10.1016/j.jhydrol.2020.125927_b0005
  article-title: TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015
  publication-title: Sci. Data
  doi: 10.1038/sdata.2017.191
– volume: 116
  issue: D24
  year: 2011
  ident: 10.1016/j.jhydrol.2020.125927_b0030
  article-title: Diagnosing water variations within the Amazon basin using satellite data
  publication-title: J. Geophys. Res.
  doi: 10.1029/2011JD015997
– volume: 519
  start-page: 50
  year: 2014
  ident: 10.1016/j.jhydrol.2020.125927_b0295
  article-title: Estimation of the terrestrial water budget over northern China by merging multiple datasets
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2014.06.046
– ident: 10.1016/j.jhydrol.2020.125927_b0230
– volume: 53
  start-page: 880
  issue: 6
  year: 2010
  ident: 10.1016/j.jhydrol.2020.125927_b0075
  article-title: Glacier runoff variation and its influence on river runoff during 1961–2006 in the Tarim River Basin, China
  publication-title: Sci. China Earth Sci.
  doi: 10.1007/s11430-010-0073-4
– year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0110
– volume: 9
  start-page: 358
  issue: 5
  year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0250
  article-title: Contributions of GRACE to understanding climate change
  publication-title: Nat. Clim. Chang.
  doi: 10.1038/s41558-019-0456-2
– volume: 25
  start-page: 3191
  issue: 9
  year: 2012
  ident: 10.1016/j.jhydrol.2020.125927_b0180
  article-title: Multisource estimation of long-term terrestrial water budget for major global river basins
  publication-title: J. Climate
  doi: 10.1175/JCLI-D-11-00300.1
– volume: 2
  issue: 1
  year: 2015
  ident: 10.1016/j.jhydrol.2020.125927_b0070
  article-title: The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes
  publication-title: Sci. Data
  doi: 10.1038/sdata.2015.66
– volume: 591
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0220
  article-title: Recent global performance of the Climate Hazards group Infrared Precipitation (CHIRP) with Stations (CHIRPS)
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2020.125284
– volume: 583
  start-page: 124579
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0125
  article-title: Partitioning the contributions of glacier melt and precipitation to the 1971–2010 runoff increases in a headwater basin of the Tarim River
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2020.124579
– volume: 512
  start-page: 1
  year: 2014
  ident: 10.1016/j.jhydrol.2020.125927_b0255
  article-title: Assessment of water budget for sixteen large drainage basins in Canada
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2014.02.058
– volume: 9
  year: 2018
  ident: 10.1016/j.jhydrol.2020.125927_b0015
  article-title: The Global Precipitation Climatology Project (GPCP) monthly analysis (New Version 2.3) and a review of 2017 global precipitation
  publication-title: Atmosphere
  doi: 10.3390/atmos9040138
– volume: 586
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0225
  article-title: A probabilistic framework for water budget estimation in low runoff regions: a case study of the central Basin of Iran
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2020.124898
– volume: 693
  year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0290
  article-title: How is the risk of hydrological drought in the Tarim River Basin, Northwest China?
  publication-title: Sci. Total Environ.
  doi: 10.1016/j.scitotenv.2019.07.361
– volume: 24
  start-page: 3677
  issue: 7
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0120
  article-title: Assessment and projection of the water budget over western Canada using convection-permitting weather research and forecasting simulations
  publication-title: Hydrol. Earth Syst. Sci.
  doi: 10.5194/hess-24-3677-2020
– volume: 54
  start-page: 2919
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0300
  article-title: UKGrsHP: a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis dataset
  publication-title: Clim. Dyn.
  doi: 10.1007/s00382-020-05144-2
– ident: 10.1016/j.jhydrol.2020.125927_b0240
– volume: 4
  issue: 1
  year: 2017
  ident: 10.1016/j.jhydrol.2020.125927_b0150
  article-title: A land data assimilation system for sub-Saharan Africa food and water security applications
  publication-title: Sci. Data
  doi: 10.1038/sdata.2017.12
– volume: 119
  start-page: 8712
  year: 2014
  ident: 10.1016/j.jhydrol.2020.125927_b0265
  article-title: A national-scale assessment of long-term water budget closures for Canada's watersheds
  publication-title: J. Geophys. Res. –Atmos.
  doi: 10.1002/2014JD021951
– volume: 523
  start-page: 25
  year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0285
  article-title: Water balance change and its implications to vegetation in the Tarim River Basin, Central Asia
  publication-title: Quat. Int.
  doi: 10.1016/j.quaint.2019.06.011
– volume: 33
  start-page: 1821
  issue: 5
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0100
  article-title: Conserving Land-Atmosphere Synthesis Suite (CLASS)
  publication-title: J. Clim.
  doi: 10.1175/JCLI-D-19-0036.1
– volume: 575
  start-page: 131
  year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0155
  article-title: Assessment of terrestrial water balance using remote sensing data in South America
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2019.05.021
– volume: 584
  start-page: 124707
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0025
  article-title: Performance evaluation of satellite- and model-based precipitation products over varying climate and complex topography
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2020.124707
– volume: 28
  start-page: 8289
  year: 2015
  ident: 10.1016/j.jhydrol.2020.125927_b0190
  article-title: The observed state of the water cycle in the early 21st century
  publication-title: J. Clim.
  doi: 10.1175/JCLI-D-14-00555.1
– volume: 37
  start-page: 249
  year: 2016
  ident: 10.1016/j.jhydrol.2020.125927_b0305
  article-title: On creating global gridded terrestrial water budget estimates from satellite remote sensing
  publication-title: Surv. Geophys.
  doi: 10.1007/s10712-015-9354-y
– volume: 232
  year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0205
  article-title: Remote sensing monitoring of multi-scale watersheds impermeability for urban hydrological evaluation
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2019.111338
– volume: 203
  start-page: 207
  year: 2018
  ident: 10.1016/j.jhydrol.2020.125927_b0105
  article-title: Adaptation strategies of agriculture and water management to climate change in the Upper Tarim River basin, NW China
  publication-title: Agric. Water Manag.
  doi: 10.1016/j.agwat.2018.03.004
– volume: 584
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0130
  article-title: Comparison and evaluation of multiple land surface products for the water budget in the Yellow River Basin
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2019.124534
– volume: 19
  issue: 1
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0065
  article-title: Comparison of evapotranspiration estimates using the water balance and the eddy covariance methods
  publication-title: Vadose Zone J.
  doi: 10.1002/vzj2.20032
– volume: 49
  start-page: 5756
  issue: 9
  year: 2013
  ident: 10.1016/j.jhydrol.2020.125927_b0185
  article-title: Significance of surface water in the terrestrial water budget: a case study in the Prairie Coteau using GRACE, GLDAS, Landsat, and groundwater well data
  publication-title: Water Resour. Res.
  doi: 10.1002/wrcr.20455
– volume: 2019
  start-page: H22F
  year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0280
  article-title: Vegetation dynamics regulating evapotranspiration through direct and indirect processes: remote sensing and land-surface hydrological modeling
  publication-title: AGUFM
– ident: 10.1016/j.jhydrol.2020.125927_b0050
– volume: 10
  start-page: 21
  issue: 01
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0090
  article-title: Evaluation of daily gridded meteorological datasets over the Niger delta region of Nigeria and implication to water resources management
  publication-title: Atmos. Clim. Sci.
– volume: 15
  start-page: 1677
  year: 2014
  ident: 10.1016/j.jhydrol.2020.125927_b0020
  article-title: Combining datasets of satellite-retrieved products. part I: methodology and water budget Closure
  publication-title: J. Hydrometeorol.
  doi: 10.1175/JHM-D-13-0148.1
– volume: 50
  start-page: 1131
  issue: 2
  year: 2014
  ident: 10.1016/j.jhydrol.2020.125927_b0135
  article-title: Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites
  publication-title: Water Resour. Res.
  doi: 10.1002/2013WR014581
– volume: 11
  start-page: 255
  issue: 3
  year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0115
  article-title: Assessment of level-3 gridded Global Precipitation Mission (GPM) products over oceans
  publication-title: Remote Sens.
  doi: 10.3390/rs11030255
– volume: 48
  start-page: 122
  year: 2016
  ident: 10.1016/j.jhydrol.2020.125927_b0235
  article-title: Spatiotemporal variations of soil moisture in the Tarim River basin, China
  publication-title: Int. J. Appl. Earth Obs. Geoinf.
  doi: 10.1016/j.jag.2015.06.012
– volume: 574
  start-page: 892
  year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0055
  article-title: Application of remote sensing to water environmental processes under a changing climate
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2019.04.078
– volume: 64
  start-page: 910
  year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0320
  article-title: Merging multi-source precipitation products or merging their simulated hydrological flows to improve streamflow simulation
  publication-title: Hydrol. Sci. J.
  doi: 10.1080/02626667.2019.1612522
– volume: 7
  start-page: 96
  year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0275
  article-title: Global glacier mass loss during the GRACE satellite mission (2002–2016)
  publication-title: Front. Earth Sci.
  doi: 10.3389/feart.2019.00096
– volume: 400
  start-page: 1
  issue: 1-2
  year: 2011
  ident: 10.1016/j.jhydrol.2020.125927_b0245
  article-title: Trends of streamflow in the Tarim River Basin during the past 50years: Human impact or climate change?
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2011.01.016
– volume: 29
  start-page: 2125
  year: 2015
  ident: 10.1016/j.jhydrol.2020.125927_b0260
  article-title: Long-term water budget imbalances and error sources for cold region drainage basins
  publication-title: Hydrol. Process.
  doi: 10.1002/hyp.10343
– volume: 104
  start-page: 37
  year: 2017
  ident: 10.1016/j.jhydrol.2020.125927_b0010
  article-title: Estimating the water budget components and their variability in a pre-alpine basin with JGrass-NewAGE
  publication-title: Adv. Water Resour.
  doi: 10.1016/j.advwatres.2017.03.010
– volume: 581
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0035
  article-title: Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2019.124379
– year: 1986
  ident: 10.1016/j.jhydrol.2020.125927_b0145
– volume: 24
  start-page: 565
  year: 2013
  ident: 10.1016/j.jhydrol.2020.125927_b0080
  article-title: Decadal variation in surface characteristics over Xinjiang, Western China, from TAP altimetry backscatter coefficients: evidence of climate change
  publication-title: Terr. Atmos. Oceanic Sci.
  doi: 10.3319/TAO.2012.11.01.01(TibXS)
– volume: 8
  start-page: 6
  issue: 1
  year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0170
  article-title: The spatial variability of actual evapotranspiration across the Amazon River Basin based on remote sensing products validated with flux towers
  publication-title: Ecol Process
  doi: 10.1186/s13717-019-0158-8
– ident: 10.1016/j.jhydrol.2020.125927_b0160
– volume: 6
  start-page: 927
  year: 2013
  ident: 10.1016/j.jhydrol.2020.125927_b0270
  article-title: Vegetation dynamics and their response to hydroclimatic factors in the Tarim river basin, China
  publication-title: Ecohydrology
  doi: 10.1002/eco.1255
– volume: 46
  start-page: 10504
  issue: 17-18
  year: 2019
  ident: 10.1016/j.jhydrol.2020.125927_b0060
  article-title: Analysis of the atmospheric water budget for elucidating the spatial scale of precipitation changes under climate change
  publication-title: Geophys. Res. Lett.
  doi: 10.1029/2019GL084173
– volume: 119
  start-page: 12100
  year: 2014
  ident: 10.1016/j.jhydrol.2020.125927_b0165
  article-title: Combining data sets of satellite-retrieved products for basin-scale water balance study: 2. Evaluation on the Mississippi Basin and closure correction model
  publication-title: J. Geophys. Res. –Atmos.
  doi: 10.1002/2014JD021953
– volume: 77
  start-page: 1545
  year: 2020
  ident: 10.1016/j.jhydrol.2020.125927_b0315
  article-title: An effective first order reliability method based on Barzilai-Borwein step
  publication-title: Appl. Math. Model.
  doi: 10.1016/j.apm.2019.08.026
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Snippet •New method is proposed to assess accuracy of satellite products in ungauged basins.•Mutual cancellation in product errors is avoided in water budget...
Remote sensing products have been widely used in water resources assessment and management. However, the accuracy varies in different products. Water budget...
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Enrichment Source
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StartPage 125927
SubjectTerms basins
China
equations
Error analysis
evapotranspiration
hydrologic data
Remote sensing
satellites
Tarim River Basin
water budget
Water budget closure
water storage
watersheds
Title A new method for assessing satellite-based hydrological data products using water budget closure
URI https://dx.doi.org/10.1016/j.jhydrol.2020.125927
https://www.proquest.com/docview/2524221359
Volume 594
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