100 citations as recorded by crossref.

1. Regionalization of hydrological model parameters using gradient boosting machine Z. Song et al. 10.5194/hess-26-505-2022
2. Satellite-based soil moisture enhances the reliability of agro-hydrological modeling in large transboundary river basins M. Eini et al. 10.1016/j.scitotenv.2023.162396
3. Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms E. Yousefzadeh Barri et al. 10.1016/j.jtrangeo.2022.103482
4. Spatial Pattern Oriented Multicriteria Sensitivity Analysis of a Distributed Hydrologic Model M. Demirel et al. 10.3390/w10091188
5. Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
6. On the contribution of remote sensing-based calibration to model hydrological and hydraulic processes in tropical regions A. Meyer Oliveira et al. 10.1016/j.jhydrol.2021.126184
7. Intercomparison of the expected change in the temperature and the precipitation retrieved from CMIP6 and CMIP5 climate projections: A Mediterranean hot spot case, Turkey S. Bağçaci et al. 10.1016/j.atmosres.2021.105576
8. Improving estimation of in-season crop water use and health of wheat genotypes on sodic soils using spatial interpolation techniques and multi-component metrics M. Choudhury et al. 10.1016/j.agwat.2021.107007
9. Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies M. Dembélé et al. 10.1016/j.advwatres.2020.103667
10. The variability and teleconnections of meteorological drought in the Indian summer monsoon season: Implications for staple crop production J. Rajbanshi & S. Das 10.1016/j.jhydrol.2021.126845
11. Performance assessment of general circulation models: application of compromise programming method and global performance indicator technique B. Deepthi & B. Sivakumar 10.1007/s00477-021-02124-8
12. Temporal and spatial evolutionary trends of regional extreme precipitation under different emission scenarios: Case study of the Jialing River Basin, China S. Zhang et al. 10.1016/j.jhydrol.2023.129156
13. Effect of Model Structure and Calibration Algorithm on Discharge Simulation in the Acısu Basin, Turkey H. Alp et al. 10.3390/cli10120196
14. Effect of data length, spin-up period and spatial model resolution on fully distributed hydrological model calibration in the Moselle basin Ö. Ekmekcioğlu et al. 10.1080/02626667.2022.2046754
15. Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial assessment metrics K. Ahmed et al. 10.5194/hess-23-4803-2019
16. In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics Y. Yang et al. 10.1029/2018WR024178
17. Uncertainties in Evapotranspiration Estimates over West Africa H. Jung et al. 10.3390/rs11080892
18. Ecohydrologic model with satellite-based data for predicting streamflow in ungauged basins J. Choi et al. 10.1016/j.scitotenv.2023.166617
19. Evaluation of global climate models for the simulation of precipitation and maximum and minimum temperatures at coarser and finer resolutions based on temporal and spatial assessment metrics in mainland of China Y. Lei et al. 10.2166/wcc.2023.464
20. Development of reservoir module for a distributed conceptual hydrological model K. Sushanth et al. 10.1007/s11600-023-01035-2
21. Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables T. Denager et al. 10.5194/hess-27-2827-2023
22. A thematic mapping method to assess and analyze potential urban hazards and risks caused by flooding M. Hossain & Q. Meng 10.1016/j.compenvurbsys.2019.101417
23. A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
24. Strategies to Improve and Evaluate Physics‐Based Hyperresolution Hydrologic Simulations at Regional Basin Scales A. Ko et al. 10.1029/2018WR023521
25. Characteristic Analysis of Droughts and Waterlogging Events for Maize Based on a New Comprehensive Index through Coupling of Multisource Data in Midwestern Jilin Province, China R. Wang et al. 10.3390/rs12010060
26. Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model J. Koch et al. 10.3390/rs14020315
27. Droughts in Germany: performance of regional climate models in reproducing observed characteristics D. Petrovic et al. 10.5194/nhess-22-3875-2022
28. Verifying model performance using validation of Pareto solutions N. Harvey et al. 10.1016/j.jhydrol.2023.129594
29. Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions J. Musuuza et al. 10.3390/rs12050811
30. A two-step calibration framework for hydrological parameter regionalization based on streamflow and remote sensing evapotranspiration Z. Xu et al. 10.1016/j.jhydrol.2022.128320
31. Comparative analysis of CMIP5 and CMIP6 in conjunction with the hydrological processes of reservoir catchment, Chhattisgarh, India S. Verma et al. 10.1016/j.ejrh.2023.101533
32. An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources Z. Su et al. 10.3390/w12051495
33. Scaling Point‐Scale (Pedo)transfer Functions to Seamless Large‐Domain Parameter Estimates for High‐Resolution Distributed Hydrologic Modeling: An Example for the Rhine River R. Imhoff et al. 10.1029/2019WR026807
34. Comparing Evapotranspiration Estimates from the GEOframe-Prospero Model with Penman–Monteith and Priestley-Taylor Approaches under Different Climate Conditions M. Bottazzi et al. 10.3390/w13091221
35. Multi‐Objective Adaptive Surrogate Modeling‐Based Optimization for Distributed Environmental Models Based on Grid Sampling R. Sun et al. 10.1029/2020WR028740
36. Understanding the spatial patterns of evapotranspiration estimates from land surface models over China R. Sun et al. 10.1016/j.jhydrol.2021.126021
37. Ten strategies towards successful calibration of environmental models J. Mai 10.1016/j.jhydrol.2023.129414
38. The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al. 10.1038/s41467-022-28010-7
39. Missing Data Imputation for Multisite Rainfall Networks: A Comparison between Geostatistical Interpolation and Pattern-Based Estimation on Different Terrain Types F. Oriani et al. 10.1175/JHM-D-19-0220.1
40. Identification of spatially distributed parameters of hydrological models using the dimension-adaptive key grid calibration strategy K. Xie et al. 10.1016/j.jhydrol.2020.125772
41. Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results J. Mai & B. Tolson 10.1029/2018WR023382
42. Evaluating the Potential of Different Evapotranspiration Datasets for Distributed Hydrological Model Calibration X. Guo et al. 10.3390/rs14030629
43. The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL) J. Mai et al. 10.5194/hess-26-3537-2022
44. Tailoring Seasonal Rainfall Forecasts for Farmer's Communities in the Upper Blue Nile River Basin M. Haider et al. 10.2139/ssrn.4173667
45. Calibration of Land-Use-Dependent Evaporation Parameters in Distributed Hydrological Models Using MODIS Evaporation Time Series Data M. Casper et al. 10.3390/hydrology10120216
46. Assessing robustness in global hydrological predictions by comparing modelling and Earth observations R. Pimentel et al. 10.1080/02626667.2023.2267544
47. Dynamics of evapotranspiration over a non-irrigated alfalfa field in the Southern Great Plains of the United States P. Wagle et al. 10.1016/j.agwat.2019.105727
48. Can Hydrological Models Benefit From Using Global Soil Moisture, Evapotranspiration, and Runoff Products as Calibration Targets? Y. Mei et al. 10.1029/2022WR032064
49. High-resolution satellite products improve hydrological modeling in northern Italy L. Alfieri et al. 10.5194/hess-26-3921-2022
50. Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region P. Hulsman et al. 10.5194/hess-24-3331-2020
51. Improving process-consistency of an ecohydrological model through inclusion of spatial patterns of satellite-derived land surface temperature D. Duethmann et al. 10.1016/j.jhydrol.2023.130433
52. 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
53. Satellite-Based Evapotranspiration in Hydrological Model Calibration L. Jiang et al. 10.3390/rs12030428
54. Spatial pattern‐based performance evaluation and uncertainty analysis of a distributed hydrological model S. Gaur et al. 10.1002/hyp.14586
55. Estimating Net Irrigation Across the North China Plain Through Dual Modeling of Evapotranspiration J. Koch et al. 10.1029/2020WR027413
56. Boundary-dependent urban impacts on timing, pattern, and magnitude of heavy rainfall in Istanbul K. Donmez et al. 10.1016/j.atmosres.2023.106681
57. Integrating remote sensing data in optimization of a national water resources model to improve the spatial pattern performance of evapotranspiration M. Soltani et al. 10.1016/j.jhydrol.2021.127026
58. Exploring parameter (dis)agreement due to calibration metric selection in conceptual rainfall–runoff models E. Muñoz-Castro et al. 10.1080/02626667.2023.2231434
59. Actual Evapotranspiration Dominates Drought in Central Asia Z. Zhao et al. 10.3390/rs15184557
60. Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins J. Gomis-Cebolla et al. 10.1016/j.jhydrol.2022.127569
61. A robust objective function for calibration of groundwater models in light of deficiencies of model structure and observations R. Schneider et al. 10.1016/j.jhydrol.2022.128339
62. Improved Global Gross Primary Productivity Estimation by Considering Canopy Nitrogen Concentrations and Multiple Environmental Factors H. Zhang et al. 10.3390/rs15030698
63. Function Space Optimization: A Symbolic Regression Method for Estimating Parameter Transfer Functions for Hydrological Models M. Feigl et al. 10.1029/2020WR027385
64. Attributing the drivers of runoff decline in the Thaya river basin M. Fischer et al. 10.1016/j.ejrh.2023.101436
65. Remote sensing and modeling fusion for investigating the ecosystem water-carbon coupling processes P. Sun et al. 10.1016/j.scitotenv.2019.134064
66. Evaluation of General Circulation Models CMIP6 Performance and Future Climate Change over the Omo River Basin, Ethiopia T. Feyissa et al. 10.3390/su15086507
67. The precision of satellite-based net irrigation quantification in the Indus and Ganges basins S. Kragh et al. 10.5194/hess-27-2463-2023
68. Pixel- and Object-Based ensemble learning for forest burn severity using USGS FIREMON and Mediterranean condition dNBRs in Aegean ecosystem (Turkey) H. Tonbul et al. 10.1016/j.asr.2022.02.051
69. Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques J. Hou et al. 10.3390/rs11010090
70. Air advection induced differences between canopy and surface heat islands W. Wang et al. 10.1016/j.scitotenv.2020.138120
71. Hydrodynamic and Hydrographic Modeling of Istanbul Strait M. Koşucu et al. 10.3390/pr7100710
72. Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets M. Dembélé et al. 10.1029/2019WR026085
73. Evaluation and comparison of precipitation estimates and hydrologic utility of CHIRPS, TRMM 3B42 V7 and PERSIANN-CDR products in various climate regimes Y. Zhang et al. 10.1016/j.atmosres.2021.105881
74. A Pareto‐Based Sensitivity Analysis and Multiobjective Calibration Approach for Integrating Streamflow and Evaporation Data P. Yeste et al. 10.1029/2022WR033235
75. On the use of distributed hydrologic model for filling large gaps at different parts of the streamflow data E. Ergün & M. Demirel 10.1016/j.jestch.2022.101321
76. Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development J. Refsgaard et al. 10.1002/hyp.14463
77. Multi-Scenario Integration Comparison of CMADS and TMPA Datasets for Hydro-Climatic Simulation over Ganjiang River Basin, China Q. Wang et al. 10.3390/w12113243
78. Predicting Snowmelt Runoff at the Source of the Mountainous Euphrates River Basin in Turkey for Water Supply and Flood Control Issues Using HEC-HMS Modeling S. Şengül & M. İspirli 10.3390/w14030284
79. The SPAtial EFficiency metric (SPAEF): multiple-component evaluation of spatial patterns for optimization of hydrological models J. Koch et al. 10.5194/gmd-11-1873-2018
80. Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development 10.1175/JHM-D-21-0071.1
81. Behind the scenes of streamflow model performance L. Bouaziz et al. 10.5194/hess-25-1069-2021
82. Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement P. Hulsman et al. 10.5194/hess-25-957-2021
83. Comparing ERT- and scaling-based approaches to parameterize soil hydraulic properties for spatially distributed model applications P. Nasta et al. 10.1016/j.advwatres.2019.02.014
84. A parallel computing-based and spatially stepwise strategy for constraining a semi-distributed hydrological model with streamflow observations and satellite-based evapotranspiration L. Zhang et al. 10.1016/j.jhydrol.2021.126359
85. A simple method of bias correction for GCM derived streamflow at catchment scale S. Islam et al. 10.1080/02626667.2023.2218036
86. Spatial Patterns in Actual Evapotranspiration Climatologies for Europe S. Stisen et al. 10.3390/rs13122410
87. Application of Parameter Screening to Derive Optimal Initial State Adjustments for Streamflow Forecasting J. Mai et al. 10.1029/2020WR027960
88. Evaluation and selection of CMIP6 GCMs for long-term hydrological projections based on spatial performance assessment metrics across South Korea N. Huong et al. 10.2166/wcc.2023.021
89. Resocializing digital water transformations: Outlining social science perspectives on the digital water journey C. Hoolohan et al. 10.1002/wat2.1512
90. A Comparative Investigation of Various Pedotransfer Functions and Their Impact on Hydrological Simulations H. Mohajerani et al. 10.3390/w13101401
91. Hidrolojik Model Kalibrasyonunda Uydu Tabanlı Aylık Buharlaşma ve LAI Verilerinin Kullanılması M. AVCUOGLU & M. DEMİREL 10.18400/tekderg.1067466
92. Improvements of the spatially distributed hydrological modelling using the HBV model at 1 km resolution for Norway S. Huang et al. 10.1016/j.jhydrol.2019.03.051
93. Spatial Evaluation of a Hydrological Model on Dominant Runoff Generation Processes Using Soil Hydrologic Maps H. Mohajerani et al. 10.3390/hydrology10030055
94. Performance-Based Evaluation of CMIP5 and CMIP6 Global Climate Models and Their Multi-Model Ensembles to Simulate and Project Seasonal and Annual Climate Variables in the Chungcheong Region of South Korea B. Adelodun et al. 10.3390/atmos14101569
95. Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration . Demirel et al. 10.3390/w11102083
96. Effect of Dynamic PET Scaling with LAI and Aspect on the Spatial Performance of a Distributed Hydrologic Model U. Demirci & M. Demirel 10.3390/agronomy13020534
97. Assessment of Remotely Sensed Near-Surface Soil Moisture for Distributed Eco-Hydrological Model Implementation C. Echeverría et al. 10.3390/w11122613
98. Using a regionalisation approach to evaluate streamflow simulated by an ecohydrological model calibrated with global land surface evaporation from remote sensing A. Odusanya et al. 10.1016/j.ejrh.2022.101042
99. Towards reducing the high cost of parameter sensitivity analysis in hydrologic modeling: a regional parameter sensitivity analysis approach S. Larabi et al. 10.5194/hess-27-3241-2023
100. Moving beyond run‐off calibration—Multivariable optimization of a surface–subsurface–atmosphere model S. Stisen et al. 10.1002/hyp.13177