105 citations as recorded by crossref.

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46. Hydrograph separation for tackling equifinality in conceptual hydrological models J. Casado-Rodríguez & M. del Jesus 10.1016/j.jhydrol.2022.127816
47. Tailoring Seasonal Rainfall Forecasts for Farmer's Communities in the Upper Blue Nile River Basin M. Haider et al. 10.2139/ssrn.4173667
48. 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
49. 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
50. Distributed Hydrological Model Based on Machine Learning Algorithm: Assessment of Climate Change Impact on Floods Z. Iqbal et al. 10.3390/su14116620
51. Validation of retracked Sentinel-3 altimetry observations along the Norwegian coast M. Tomić et al. 10.1016/j.asr.2024.01.055
52. Downscaling of AMSR-E Soil Moisture over North China Using Random Forest Regression H. Zhang et al. 10.3390/ijgi11020101
53. 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
54. 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
55. 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
56. 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
57. Advancing streamflow prediction in data-scarce regions through vegetation-constrained distributed hybrid ecohydrological models L. Zhong et al. 10.1016/j.jhydrol.2024.132165
58. Heat wave characteristics: evaluation of regional climate model performances for Germany D. Petrovic et al. 10.5194/nhess-24-265-2024
59. Multi‐Objective Adaptive Surrogate Modeling‐Based Optimization for Distributed Environmental Models Based on Grid Sampling R. Sun et al. 10.1029/2020WR028740
60. 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
61. Toward robust pattern similarity metric for distributed model evaluation E. Yorulmaz et al. 10.1007/s00477-024-02790-4
62. On the Evaluation of Both Spatial and Temporal Performance of Distributed Hydrological Models Using Remote Sensing Products T. Nguyen et al. 10.3390/rs14091959
63. 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
64. Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications W. van Verseveld et al. 10.5194/gmd-17-3199-2024
65. Behind the scenes of streamflow model performance L. Bouaziz et al. 10.5194/hess-25-1069-2021
66. 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
67. 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
68. Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model J. Koch et al. 10.3390/rs14020315
69. Uncertainties in Evapotranspiration Estimates over West Africa H. Jung et al. 10.3390/rs11080892
70. 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
71. Rural depopulation has reshaped the plant diversity distribution pattern in China Q. Luo et al. 10.1016/j.resconrec.2024.108054
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74. The precision of satellite-based net irrigation quantification in the Indus and Ganges basins S. Kragh et al. 10.5194/hess-27-2463-2023
75. Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development 10.1175/JHM-D-21-0071.1
76. An empirical noise model for the benefit of model-based hydrodynamic leveling Y. Afrasteh et al. 10.1007/s00190-022-01694-x
77. Function Space Optimization: A Symbolic Regression Method for Estimating Parameter Transfer Functions for Hydrological Models M. Feigl et al. 10.1029/2020WR027385
78. 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
79. 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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81. 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
82. Gradient Boosting Estimation of the Leaf Area Index of Apple Orchards in UAV Remote Sensing Z. Liu et al. 10.3390/rs13163263
83. Spatial pattern‐based performance evaluation and uncertainty analysis of a distributed hydrological model S. Gaur et al. 10.1002/hyp.14586
84. 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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86. Boundary-dependent urban impacts on timing, pattern, and magnitude of heavy rainfall in Istanbul K. Donmez et al. 10.1016/j.atmosres.2023.106681
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88. 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
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104. 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
105. 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