101 citations as recorded by crossref.

1. Data-driven estimates of evapotranspiration and its controls in the Congo Basin M. Burnett et al. 10.5194/hess-24-4189-2020
2. Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation Z. Li et al. 10.3390/rs12081258
3. An instrument variable based algorithm for estimating cross-correlated hydrological remote sensing errors J. Dong et al. 10.1016/j.jhydrol.2019.124413
4. Climatic or regionally induced by humans? Tracing hydro-climatic and land-use changes to better understand the Lake Urmia tragedy B. Khazaei et al. 10.1016/j.jhydrol.2018.12.004
5. A mutual assessment of the uncertainties of digital elevation models using the triple collocation technique C. Yakubu et al. 10.1080/01431161.2019.1579388
6. Can We Use the Water Budget to Infer Upland Catchment Behavior? The Role of Data Set Error Estimation and Interbasin Groundwater Flow B. Gordon et al. 10.1029/2021WR030966
7. Assessment and Hydrological Validation of Merged Near-Real-Time Satellite Precipitation Estimates Based on the Gauge-Free Triple Collocation Approach D. Cao et al. 10.3390/rs14153835
8. Toward a better understanding of uncertainty for satellite precipitation products over complex terrain with sparse rain gauge data Y. Gai et al. 10.1016/j.atmosres.2023.106742
9. Recent Seasonal Variations in Ecosystem Water Use Efficiency in China's Key Tropical‐Subtropical Transitional Zones in Response to Climate Change L. Liu et al. 10.1029/2022GB007635
10. Comparison of the GPCP 1DD Precipitation Product and NEXRAD Q2 Precipitation Estimates over the Continental United States W. Cui et al. 10.1175/JHM-D-15-0235.1
11. Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso R. Yonaba et al. 10.1080/10106049.2024.2391956
12. A Binned Triple Collocation for Estimating Regime-Dependent Uncertainties of Precipitation V. Pellet 10.1109/LGRS.2022.3162703
13. Triple collocation-based merging of multi-source gridded evapotranspiration data in the Nordic Region X. Li et al. 10.1016/j.agrformet.2023.109451
14. Cross-evaluation of ground-based, multi-satellite and reanalysis precipitation products: Applicability of the Triple Collocation method across Mainland China C. Li et al. 10.1016/j.jhydrol.2018.04.039
15. Evaluation of precipitation datasets available on Google earth engine over India S. Dubey et al. 10.1002/joc.7102
16. Global-Scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method Y. Chen et al. 10.3390/rs14225635
17. Validating CYGNSS Wind Speeds with Surface-Based Observations and Triple Collocation Analysis A. Wild et al. 10.3390/rs16244702
18. Reliability of satellite-derived precipitation data in driving hydrological simulations: A case study of the upper Huaihe River basin, China F. Chen et al. 10.1016/j.jhydrol.2022.128076
19. Assessments of three evapotranspiration products over China using extended triple collocation and water balance methods Y. Jia et al. 10.1016/j.jhydrol.2022.128594
20. Comprehensive evaluation of satellite and reanalysis precipitation products over the eastern Tibetan plateau characterized by a high diversity of topographies H. Lei et al. 10.1016/j.atmosres.2021.105661
21. Physical mechanism-based simulation methods for soil and ground heat flux from observations at multi-sites Z. Liu et al. 10.1016/j.jhydrol.2024.132168
22. Global Calibration and Error Estimation of Altimeter, Scatterometer, and Radiometer Wind Speed Using Triple Collocation A. Ribal & I. Young 10.3390/rs12121997
23. Evaluating Root-Zone Soil Moisture Products from GLEAM, GLDAS, and ERA5 Based on In Situ Observations and Triple Collocation Method over the Tibetan Plateau S. Yang et al. 10.1175/JHM-D-22-0016.1
24. Evaluation of Six Satellite Precipitation Products over the Chinese Mainland Z. Liu et al. 10.3390/rs14246277
25. Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans S. Khan & V. Maggioni 10.3390/rs11030255
26. Evaluating the Uncertainty of Terrestrial Water Budget Components Over High Mountain Asia Y. Yoon et al. 10.3389/feart.2019.00120
27. How China’s Fengyun Satellite Precipitation Product Compares with Other Mainstream Satellite Precipitation Products Z. Sun et al. 10.1175/JHM-D-21-0179.1
28. Comparing and contrasting the performance of high-resolution precipitation products via error decomposition and triple collocation: An application to different climate classes of the central Iran A. Ghomlaghi et al. 10.1016/j.jhydrol.2022.128298
29. The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia X. Lu et al. 10.1016/j.atmosres.2021.105452
30. Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence S. Alemohammad et al. 10.5194/bg-14-4101-2017
31. The Impact of Quadratic Nonlinear Relations between Soil Moisture Products on Uncertainty Estimates from Triple Collocation Analysis and Two Quadratic Extensions S. Zwieback et al. 10.1175/JHM-D-15-0213.1
32. Triple collocation for binary and categorical variables: Application to validating landscape freeze/thaw retrievals K. McColl et al. 10.1016/j.rse.2016.01.010
33. Theoretical uncertainties for global satellite-derived burned area estimates J. Brennan et al. 10.5194/bg-16-3147-2019
34. Spatially continuous assessment of satellite-based precipitation products using triple collocation approach and discrete gauge observations via geographically weighted regression P. Wang et al. 10.1016/j.jhydrol.2022.127640
35. Assessing the accuracy and drought utility of long-term satellite-based precipitation estimation products using the triple collocation approach X. Bai et al. 10.1016/j.jhydrol.2021.127098
36. Triple Collocation Analysis of Satellite Precipitation Estimates over Australia A. Wild et al. 10.3390/rs14112724
37. Validation of the SMAP freeze/thaw product using categorical triple collocation H. Lyu et al. 10.1016/j.rse.2017.12.007
38. Error investigation of rain retrievals from disdrometer data using triple colocation C. Annella et al. 10.1002/asl.1127
39. Improving Rain/No-Rain Detection Skill by Merging Precipitation Estimates from Different Sources J. Dong et al. 10.1175/JHM-D-20-0097.1
40. Robust estimates of soil moisture and latent heat flux coupling strength obtained from triple collocation W. Crow et al. 10.1002/2015GL065929
41. A Multiplicative-Exponential function to correct precipitation for distributed hydrological modeling in Poorly-gauged basins S. Qi et al. 10.1016/j.jhydrol.2023.129393
42. Time-varying quadruple collocation for enhanced satellite and reanalysis precipitation data error estimation and integration A. Alcantara & K. Ahn 10.1016/j.jag.2024.103692
43. Advancing High-Mountain Precipitation Reconstruction Through Merging of Multiple Data Sources: Triple Collocation Versus Signal-to-Noise Ratio Optimization S. Shah et al. 10.1109/TGRS.2024.3494812
44. Comparison of decadal water storage trends from common GRACE releases (RL05, RL06) using spatial diagnostics and a modified triple collocation approach E. Hasan & A. Tarhule 10.1016/j.hydroa.2021.100108
45. Triple collocation-based multi-source evaporation and transpiration merging J. Park et al. 10.1016/j.agrformet.2023.109353
46. Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets G. Tang et al. 10.1016/j.rse.2020.111697
47. Assessment of Four Satellite-Based Precipitation Products Over the Pearl River Basin, China X. Xia et al. 10.1109/ACCESS.2021.3095239
48. An Evaluation of Soil Moisture Anomalies from Global Model-Based Datasets over the People’s Republic of China D. Hagan et al. 10.3390/w12010117
49. Satellite soil moisture data assimilation for improved operational continental water balance prediction S. Tian et al. 10.5194/hess-25-4567-2021
50. Exploring Deep Neural Networks to Retrieve Rain and Snow in High Latitudes Using Multisensor and Reanalysis Data G. Tang et al. 10.1029/2018WR023830
51. Precipitation Merging Based on the Triple Collocation Method Across Mainland China F. Lyu et al. 10.1109/TGRS.2020.3008033
52. Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated/dryland agriculture regions H. Kim et al. 10.1016/j.rse.2020.112052
53. Evaluation of Spatial Rainfall Products in Sparsely Gauged Region Using Copula Uncertainty Modeling with Triple Collocation A. Tanim et al. 10.1061/(ASCE)HE.1943-5584.0002071
54. An assessment of the performance of global rainfall estimates without ground-based observations C. Massari et al. 10.5194/hess-21-4347-2017
55. Assessment and Data Fusion of Satellite-Based Precipitation Estimation Products over Ungauged Areas Based on Triple Collocation without In Situ Observations X. Wu et al. 10.3390/rs15174210
56. The effects of spatial and temporal resolution of gridded meteorological forcing on watershed hydrological responses P. Shuai et al. 10.5194/hess-26-2245-2022
57. How well do 13 satellite-derived precipitation products capture the temporal and spatial variations of precipitation over Chinese mainland? Z. Chi et al. 10.1080/01431161.2023.2277165
58. Hydroclimate assessment of gridded precipitation products for the Tibetan Plateau Y. Wu et al. 10.1016/j.scitotenv.2019.01.119
59. Multi-year evaluation of CloudSat, ERA5, and IMERG global snowfall products Q. Ji et al. 10.1016/j.jhydrol.2024.131500
60. An intercomparison of four gridded precipitation products over Europe using an extension of the three-cornered-hat method L. Lledó et al. 10.5194/hess-28-5149-2024
61. Integration of Three Standardized Drought Indices utilizing Modified Triple Collocation and Scaled Triple Collocation relative to Triple Collocation Z. Badar et al. 10.1007/s11269-023-03596-9
62. Validation of Satellite, Reanalysis and RCM Data of Monthly Rainfall in Calabria (Southern Italy) G. Caroletti et al. 10.3390/rs11131625
63. Direct Comparison and Triple Collocation: Which Is More Reliable in the Validation of Coarse‐Scale Satellite Surface Albedo Products X. Wu et al. 10.1029/2018JD029937
64. Large-scale precipitation monitoring network re-design using ground and satellite datasets: coupled application of geostatistics and meta-heuristic optimization algorithms A. Ghomlaghi et al. 10.1007/s00477-023-02517-x
65. Simulation of Ship-Track versus Satellite-Sensor Differences in Oceanic Precipitation Using an Island-Based Radar J. Burdanowitz et al. 10.3390/rs9060593
66. Evaluation of satellite precipitation products using HEC-HMS model A. Belayneh et al. 10.1007/s40808-020-00792-z
67. Evaluation of Satellite Precipitation Estimates over the South West Pacific Region A. Wild et al. 10.3390/rs13193929
68. Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
69. Improving Daily Precipitation Estimates by Merging Satellite and Reanalysis Data in Northeast China G. Yin et al. 10.3390/rs16244703
70. Modeling and Evaluating Systematic and Random Errors in Multiscale GPM IMERG Summer Precipitation Estimates Over the Sichuan Basin S. Tang et al. 10.1109/JSTARS.2021.3076197
71. Stand-alone uncertainty characterization of GLEAM, GLDAS and MOD16 evapotranspiration products using an extended triple collocation approach M. Khan et al. 10.1016/j.agrformet.2018.01.022
72. Triple Collocation-Based Uncertainty Analysis and Data Fusion of Multi-Source Evapotranspiration Data Across China D. Wang et al. 10.3390/atmos15121410
73. Multi-Sensor Precipitation Estimation from Space: Data Sources, Methods and Validation R. Guo et al. 10.3390/rs16244753
74. Caravan - A global community dataset for large-sample hydrology F. Kratzert et al. 10.1038/s41597-023-01975-w
75. Remote Sensing-Based Estimates of Changes in Stored Groundwater at Local Scales: Case Study for Two Groundwater Subbasins in California’s Central Valley A. Ahamed et al. 10.3390/rs15082100
76. A Comparison of Various Correction and Blending Techniques for Creating an Improved Satellite-Gauge Rainfall Dataset over Australia Z. Chua et al. 10.3390/rs14020261
77. Investigating the Potential of Using Satellite‐Based Precipitation Radars as Reference for Evaluating Multisatellite Merged Products S. Khan et al. 10.1029/2018JD028584
78. A novel error decomposition and fusion framework for daily precipitation estimation based on near-real-time satellite precipitation product and gauge observations J. Shi et al. 10.1016/j.jhydrol.2024.131715
79. Comparison of traditional method and triple collocation analysis for evaluation of multiple gridded precipitation products across Germany Z. Duan et al. 10.1175/JHM-D-21-0049.1
80. Trends analysis of Evapotranspiration and responses to soil moisture and wind speed over the Taklimakan Desert, China J. Lang et al. 10.1080/15324982.2024.2393337
81. Detecting vulnerability of humid tropical forests to multiple stressors S. Saatchi et al. 10.1016/j.oneear.2021.06.002
82. Quantifying the Reliability and Uncertainty of Satellite, Reanalysis, and Merged Precipitation Products in Hydrological Simulations over the Topographically Diverse Basin in Southwest China H. Lei et al. 10.3390/rs15010213
83. A note on leveraging synergy in multiple meteorological data sets with deep learning for rainfall–runoff modeling F. Kratzert et al. 10.5194/hess-25-2685-2021
84. Disentangling error structures of precipitation datasets using decision trees X. Sui et al. 10.1016/j.rse.2022.113185
85. How to enhance the inverse distance weighting method to detect the precipitation pattern in a large-scale watershed A. Ghomlaghi et al. 10.1080/02626667.2022.2124874
86. Global evaluation of terrestrial near-surface air temperature and specific humidity retrievals from the Atmospheric Infrared Sounder (AIRS) J. Sun et al. 10.1016/j.rse.2020.112146
87. Robust effects of cloud superparameterization on simulated daily rainfall intensity statistics across multiple versions of the Community Earth System Model G. Kooperman et al. 10.1002/2015MS000574
88. Impact of climate change on the long-term water balance in the Yarlung Zangbo basin Y. Deng et al. 10.3389/feart.2023.1107809
89. Daily precipitation estimation through different microwave sensors: Verification study over Italy L. Ciabatta et al. 10.1016/j.jhydrol.2016.12.057
90. Characterization of the Systematic and Random Errors in Satellite Precipitation Using the Multiplicative Error Model G. Tang 10.1109/TGRS.2020.3028525
91. Terrestrial Water Storage Change Retrieved by GRACE and Its Implication in the Tibetan Plateau: Estimating Areal Precipitation in Ungauged Region Y. Jia et al. 10.3390/rs12193129
92. Cross-Examining Precipitation Products by Rain Gauge, Remote Sensing, and WRF Simulations over a South American Region across the Pacific Coast and Andes M. Chen et al. 10.3390/atmos13101666
93. Characterizing the performances of different observational precipitation products and their uncertainties over Africa B. Ayugi et al. 10.1088/1748-9326/ad416b
94. How Well Do Multisatellite Products Capture the Space–Time Dynamics of Precipitation? Part II: Building an Error Model through Spectral System Identification C. Guilloteau et al. 10.1175/JHM-D-22-0041.1
95. A combined extended triple collocation and cumulative distribution function merging framework for improved daily precipitation estimates over mainland China L. Wei et al. 10.1016/j.jhydrol.2024.131757
96. Expert-based prior uncertainty analysis of gridded water balance components: Application to the irrigated Hindon River Basin, India R. Mourad et al. 10.1016/j.ejrh.2024.101935
97. Quantifying Precipitation Uncertainty for Land Data Assimilation Applications S. Alemohammad et al. 10.1175/MWR-D-14-00337.1
98. Statistical Validation of MODIS-Based Sea Surface Temperature in Shallow Semi-Enclosed Marginal Sea: A Comparison between Direct Matchup and Triple Collocation A. Saleh & B. Al-Anzi 10.3390/w13081078
99. Updating real‐time flood forecasts via the dynamic system response curve method W. Si et al. 10.1002/2015WR017234
100. Triple Collocation Based Multi-Source Precipitation Merging J. Dong et al. 10.3389/frwa.2020.00001
101. Integration of multiple drought indices using a triple collocation approach J. Baik et al. 10.1007/s00477-021-02044-7