111 citations as recorded by crossref.

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23. Comparison of IDW, Kriging and orographic based linear interpolations of rainfall in six rainfall regimes of Ethiopia H. Workneh et al. 10.1016/j.ejrh.2024.101696
24. 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
25. Analysis of Spatio-temporal Characteristics and Driving Forces of Air Quality in the Northern Coastal Comprehensive Economic Zone, China Y. Su et al. 10.3390/su12020536
26. Estimating Net Irrigation Across the North China Plain Through Dual Modeling of Evapotranspiration J. Koch et al. 10.1029/2020WR027413
27. A calibration free radiation driven model for estimating actual evapotranspiration of mountain grasslands (CLIME-MG) D. Gisolo et al. 10.1016/j.jhydrol.2022.127948
28. 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
29. Evaluation of future temperature and precipitation projections in Morocco using the ANN-based multi-model ensemble from CMIP6 V. Gumus et al. 10.1016/j.atmosres.2023.106880
30. 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
31. Spatial Pattern Oriented Multicriteria Sensitivity Analysis of a Distributed Hydrologic Model M. Demirel et al. 10.3390/w10091188
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34. Multi-scale soil moisture data and process-based modeling reveal the importance of lateral groundwater flow in a subarctic catchment J. Nousu et al. 10.5194/hess-28-4643-2024
35. The Effect of Spatial Input Data Quality on the Performance of the SWAT Model A. Kmoch et al. 10.3390/w14131988
36. Evaluation of metrics for assessing dipolar climate patterns in climate models S. Veiga & H. Yuan 10.1007/s00382-024-07220-3
37. Exploring the Potential of Solar-Induced Chlorophyll Fluorescence Monitoring Drought-Induced Net Primary Productivity Dynamics in the Huang-Huai-Hai Plain Based on the SIF/NPP Ratio Y. Wang et al. 10.3390/rs15133276
38. 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
39. 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
40. Actual Evapotranspiration Dominates Drought in Central Asia Z. Zhao et al. 10.3390/rs15184557
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44. Intercomparison of the U.S. National Water Model with OpenET over the Bear River Basin, U.S. A. Nassar et al. 10.1016/j.jhydrol.2025.132826
45. AIS and VMS Ensemble Can Address Data Gaps on Fisheries for Marine Spatial Planning P. Thoya et al. 10.3390/su13073769
46. CCropLand30: High-resolution hybrid cropland maps of China created through the synergy of state-of-the-art remote sensing products and the latest national land survey L. Zhang et al. 10.1016/j.compag.2024.108672
47. In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics Y. Yang et al. 10.1029/2018WR024178
48. Hydrograph separation for tackling equifinality in conceptual hydrological models J. Casado-Rodríguez & M. del Jesus 10.1016/j.jhydrol.2022.127816
49. Tailoring Seasonal Rainfall Forecasts for Farmer's Communities in the Upper Blue Nile River Basin M. Haider et al. 10.2139/ssrn.4173667
50. Diagnosis of GCM-RCM-driven rainfall patterns under changing climate through the robust selection of multi-model ensemble and sub-ensembles S. Gaur et al. 10.1007/s10584-022-03475-z
51. Projection of precipitation and temperature in major cities of Pakistan using multi-model ensembles F. Shah & A. Sharifi 10.1016/j.uclim.2025.102430
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. Distributed Hydrological Model Based on Machine Learning Algorithm: Assessment of Climate Change Impact on Floods Z. Iqbal et al. 10.3390/su14116620
54. Validation of retracked Sentinel-3 altimetry observations along the Norwegian coast M. Tomić et al. 10.1016/j.asr.2024.01.055
55. Downscaling of AMSR-E Soil Moisture over North China Using Random Forest Regression H. Zhang et al. 10.3390/ijgi11020101
56. 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
57. 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
58. Deep‐learning‐based harmonization and super‐resolution of near‐surface air temperature from CMIP6 models (1850–2100) X. Wei et al. 10.1002/joc.7926
59. 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
60. Advancing streamflow prediction in data-scarce regions through vegetation-constrained distributed hybrid ecohydrological models L. Zhong et al. 10.1016/j.jhydrol.2024.132165
61. Extra constraint on actual evaporation in a semi-distributed conceptual model to improve model physical realism S. Hsu et al. 10.1080/02626667.2025.2468846
62. Heat wave characteristics: evaluation of regional climate model performances for Germany D. Petrovic et al. 10.5194/nhess-24-265-2024
63. Multi‐Objective Adaptive Surrogate Modeling‐Based Optimization for Distributed Environmental Models Based on Grid Sampling R. Sun et al. 10.1029/2020WR028740
64. Bias correction for near-real-time estimation of snow water equivalent using machine learning algorithms: A case study in the Tuolumne River basin, California K. Yang et al. 10.1016/j.rse.2025.114693
65. Impact of deep learning-driven precipitation corrected data using near real-time satellite-based observations and model forecast in an integrated hydrological model K. Patakchi Yousefi et al. 10.3389/frwa.2024.1439906
66. Toward robust pattern similarity metric for distributed model evaluation E. Yorulmaz et al. 10.1007/s00477-024-02790-4
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68. Projection of temperature and precipitation in the Mediterranean region through multi-model ensemble from CMIP6 M. Seker & V. Gumus 10.1016/j.atmosres.2022.106440
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71. On the value of satellite remote sensing to reduce uncertainties of regional simulations of the Colorado River M. Xiao et al. 10.5194/hess-26-5627-2022
72. Machine learning and genetic algorithm for mapping soil available phosphorus in coastal provinces in Southeast China J. Guo et al. 10.1016/j.ecolind.2024.112294
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74. Uncertainties in Evapotranspiration Estimates over West Africa H. Jung et al. 10.3390/rs11080892
75. Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern U.S. V. Sehgal et al. 10.3390/su10093079
76. Rural depopulation has reshaped the plant diversity distribution pattern in China Q. Luo et al. 10.1016/j.resconrec.2024.108054
77. Moving beyond run‐off calibration—Multivariable optimization of a surface–subsurface–atmosphere model S. Stisen et al. 10.1002/hyp.13177
78. Developing a pan-European high-resolution groundwater recharge map – Combining satellite data and national survey data using machine learning G. Martinsen et al. 10.1016/j.scitotenv.2022.153464
79. The precision of satellite-based net irrigation quantification in the Indus and Ganges basins S. Kragh et al. 10.5194/hess-27-2463-2023
80. Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development 10.1175/JHM-D-21-0071.1
81. An empirical noise model for the benefit of model-based hydrodynamic leveling Y. Afrasteh et al. 10.1007/s00190-022-01694-x
82. Function Space Optimization: A Symbolic Regression Method for Estimating Parameter Transfer Functions for Hydrological Models M. Feigl et al. 10.1029/2020WR027385
83. Projected changes in the heatwave’s characteristics and associated population exposure over India under 1.5–3 °C warming levels H. Maurya et al. 10.1007/s00477-024-02695-2
84. Assessing the consistency of crop leaf area index derived from seasonal Sentinel-2 and Landsat 8 imagery over Manitoba, Canada T. Dong et al. 10.1016/j.agrformet.2023.109357
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86. 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
87. Gradient Boosting Estimation of the Leaf Area Index of Apple Orchards in UAV Remote Sensing Z. Liu et al. 10.3390/rs13163263
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89. Evaluation and projection of precipitation and temperature in a coastal climatic transitional zone in China based on CMIP6 GCMs X. Li et al. 10.1007/s00382-023-06781-z
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106. Beyond streamflow: Plausible hydrological modelling for the Upper Blue Nile Basin, Ethiopia A. Mohamed et al. 10.1016/j.ejrh.2025.102290
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110. Learning and inferring the diurnal variability of cyanobacterial blooms from high-frequency time-series satellite-based observations H. Li et al. 10.1016/j.hal.2023.102383
111. 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