113 citations as recorded by crossref.

1. Comparison of CMIP6 and CMIP5 model performance in simulating historical precipitation and temperature in Bangladesh: a preliminary study M. Kamruzzaman et al. 10.1007/s00704-021-03691-0
2. Comparison of GCMs Under CMIP5 and CMIP6 in Reproducing Observed Precipitation in Ethiopia During Rainy Seasons B. Gobie et al. 10.1007/s41748-024-00394-0
3. Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development J. Refsgaard et al. 10.1002/hyp.14463
4. 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
5. Future precipitation changes in Egypt under the 1.5 and 2.0 °C global warming goals using CMIP6 multimodel ensemble M. Nashwan & S. Shahid 10.1016/j.atmosres.2021.105908
6. How three-dimensional forest structure regulates the amount and timing of snowmelt across a climatic gradient of snow persistence R. Dwivedi et al. 10.3389/frwa.2024.1374961
7. Nonlinear response and driving mechanisms of ecological restoration project effectiveness to drought X. Liu et al. 10.1016/j.ecolind.2024.113055
8. The neural basis of predictive pursuit S. Yoo et al. 10.1038/s41593-019-0561-6
9. 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
10. Tradeoffs Between Temporal and Spatial Pattern Calibration and Their Impacts on Robustness and Transferability of Hydrologic Model Parameters to Ungauged Basins M. Demirel et al. 10.1029/2022WR034193
11. 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
12. Strategies to Improve and Evaluate Physics‐Based Hyperresolution Hydrologic Simulations at Regional Basin Scales A. Ko et al. 10.1029/2018WR023521
13. 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
14. Droughts in Germany: performance of regional climate models in reproducing observed characteristics D. Petrovic et al. 10.5194/nhess-22-3875-2022
15. Investigating the sub-daily dynamics of cyanobacterial blooms by coupling high-frequency time-series remote sensing with hydro-ecological modelling H. Li et al. 10.1016/j.jenvman.2022.115311
16. Large-scale hydrological modeling in a multi-objective uncertainty framework – Assessing the potential for managed aquifer recharge in the North China Plain G. Martinsen et al. 10.1016/j.ejrh.2022.101097
17. Spatial Patterns in Actual Evapotranspiration Climatologies for Europe S. Stisen et al. 10.3390/rs13122410
18. Air advection induced differences between canopy and surface heat islands W. Wang et al. 10.1016/j.scitotenv.2020.138120
19. A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
20. Enhanced calibration of a distributed hydrological model in the Brazilian Semi-Arid: integrating spatiotemporal evapotranspiration and streamflow data P. de Lima Ferreira & A. da Paz 10.1007/s12665-024-11663-6
21. Evaluation and Improvement of an Inflow-Nudging Technique for Idealized Simulations of Convective Boundary Layers C. Boyer & J. Keeler 10.1175/JAMC-D-22-0017.1
22. 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
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. Advancements in Extreme Precipitation Projections for South Asia: A Comparative Evaluation of CMIP5 and CMIP6 Models M. Kamruzzaman et al. 10.1002/joc.8915
25. 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
26. 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
27. Estimating Net Irrigation Across the North China Plain Through Dual Modeling of Evapotranspiration J. Koch et al. 10.1029/2020WR027413
28. 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
29. 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
30. 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
31. 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
32. Spatial Pattern Oriented Multicriteria Sensitivity Analysis of a Distributed Hydrologic Model M. Demirel et al. 10.3390/w10091188
33. The value of commercial fish size distribution recorded at haul by haul compared to trip by trip K. Plet-Hansen et al. 10.1093/icesjms/fsaa141
34. 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
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37. Evaluation of metrics for assessing dipolar climate patterns in climate models S. Veiga & H. Yuan 10.1007/s00382-024-07220-3
38. 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
39. 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
40. 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
41. Actual Evapotranspiration Dominates Drought in Central Asia Z. Zhao et al. 10.3390/rs15184557
42. Synthesizing regional irrigation data using machine learning – Towards global upscaling via metamodeling S. Kragh et al. 10.1016/j.agwat.2025.109404
43. Climate-driven land surface phenology advance is overestimated due to ignoring land cover changes Y. Pan et al. 10.1088/1748-9326/acca34
44. Multicentric tracking of multiple agents by anterior cingulate cortex during pursuit and evasion S. Yoo et al. 10.1038/s41467-021-22195-z
45. 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
46. AIS and VMS Ensemble Can Address Data Gaps on Fisheries for Marine Spatial Planning P. Thoya et al. 10.3390/su13073769
47. 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
48. In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics Y. Yang et al. 10.1029/2018WR024178
49. Hydrograph separation for tackling equifinality in conceptual hydrological models J. Casado-Rodríguez & M. del Jesus 10.1016/j.jhydrol.2022.127816
50. Tailoring Seasonal Rainfall Forecasts for Farmer's Communities in the Upper Blue Nile River Basin M. Haider et al. 10.2139/ssrn.4173667
51. 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
52. Projection of precipitation and temperature in major cities of Pakistan using multi-model ensembles F. Shah & A. Sharifi 10.1016/j.uclim.2025.102430
53. 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
54. Distributed Hydrological Model Based on Machine Learning Algorithm: Assessment of Climate Change Impact on Floods Z. Iqbal et al. 10.3390/su14116620
55. Validation of retracked Sentinel-3 altimetry observations along the Norwegian coast M. Tomić et al. 10.1016/j.asr.2024.01.055
56. Downscaling of AMSR-E Soil Moisture over North China Using Random Forest Regression H. Zhang et al. 10.3390/ijgi11020101
57. 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
58. 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
59. 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
60. 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
61. Advancing streamflow prediction in data-scarce regions through vegetation-constrained distributed hybrid ecohydrological models L. Zhong et al. 10.1016/j.jhydrol.2024.132165
62. 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
63. Heat wave characteristics: evaluation of regional climate model performances for Germany D. Petrovic et al. 10.5194/nhess-24-265-2024
64. Multi‐Objective Adaptive Surrogate Modeling‐Based Optimization for Distributed Environmental Models Based on Grid Sampling R. Sun et al. 10.1029/2020WR028740
65. 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
66. 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
67. Toward robust pattern similarity metric for distributed model evaluation E. Yorulmaz et al. 10.1007/s00477-024-02790-4
68. On the Evaluation of Both Spatial and Temporal Performance of Distributed Hydrological Models Using Remote Sensing Products T. Nguyen et al. 10.3390/rs14091959
69. 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
70. 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
71. Behind the scenes of streamflow model performance L. Bouaziz et al. 10.5194/hess-25-1069-2021
72. 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
73. 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
74. Climate Normalized Spatial Patterns of Evapotranspiration Enhance the Calibration of a Hydrological Model J. Koch et al. 10.3390/rs14020315
75. Uncertainties in Evapotranspiration Estimates over West Africa H. Jung et al. 10.3390/rs11080892
76. 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
77. Rural depopulation has reshaped the plant diversity distribution pattern in China Q. Luo et al. 10.1016/j.resconrec.2024.108054
78. Moving beyond run‐off calibration—Multivariable optimization of a surface–subsurface–atmosphere model S. Stisen et al. 10.1002/hyp.13177
79. 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
80. The precision of satellite-based net irrigation quantification in the Indus and Ganges basins S. Kragh et al. 10.5194/hess-27-2463-2023
81. Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development 10.1175/JHM-D-21-0071.1
82. An empirical noise model for the benefit of model-based hydrodynamic leveling Y. Afrasteh et al. 10.1007/s00190-022-01694-x
83. Function Space Optimization: A Symbolic Regression Method for Estimating Parameter Transfer Functions for Hydrological Models M. Feigl et al. 10.1029/2020WR027385
84. 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
85. 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
86. On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow D. Tiwari et al. 10.5194/hess-28-1127-2024
87. 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
88. Gradient Boosting Estimation of the Leaf Area Index of Apple Orchards in UAV Remote Sensing Z. Liu et al. 10.3390/rs13163263
89. Spatial pattern‐based performance evaluation and uncertainty analysis of a distributed hydrological model S. Gaur et al. 10.1002/hyp.14586
90. 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
91. Fine-Resolution Satellite Remote Sensing Improves Spatially Distributed Snow Modeling to Near Real Time G. Sexstone et al. 10.3390/rs17101704
92. 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
93. Boundary-dependent urban impacts on timing, pattern, and magnitude of heavy rainfall in Istanbul K. Donmez et al. 10.1016/j.atmosres.2023.106681
94. Remote sensing evapotranspiration in ensemble-based framework to enhance cascade routing and re-infiltration concept in integrated hydrological model applied to support decision making M. Daoud et al. 10.1016/j.jhydrol.2024.131411
95. 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
96. Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models M. Brunner et al. 10.5194/hess-25-105-2021
97. 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
98. 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
99. Hidrolojik Model Kalibrasyonunda Uydu Tabanlı Aylık Buharlaşma ve LAI Verilerinin Kullanılması M. AVCUOGLU & M. DEMİREL 10.18400/tekderg.1067466
100. Evaluation of ERA5 and ERA5-Land reanalysis precipitation datasets over Spain (1951–2020) J. Gomis-Cebolla et al. 10.1016/j.atmosres.2023.106606
101. OSARIS, the “Open Source SAR Investigation System” for Automatized Parallel InSAR Processing of Sentinel-1 Time Series Data With Special Emphasis on Cryosphere Applications D. Loibl et al. 10.3389/feart.2019.00172
102. Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
103. Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement P. Hulsman et al. 10.5194/hess-25-957-2021
104. Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration M. Demirel et al. 10.3390/w11102083
105. Synergistic Calibration of a Hydrological Model Using Discharge and Remotely Sensed Soil Moisture in the Paraná River Basin A. Fleischmann et al. 10.3390/rs13163256
106. Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets D. Dalmonech et al. 10.1080/22797254.2023.2301657
107. Novel measures for summarizing high-resolution forecast performance E. Gilleland 10.5194/ascmo-7-13-2021
108. Beyond streamflow: Plausible hydrological modelling for the Upper Blue Nile Basin, Ethiopia A. Mohamed et al. 10.1016/j.ejrh.2025.102290
109. 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
110. A novel framework for selecting general circulation models based on the spatial patterns of climate M. Nashwan & S. Shahid 10.1002/joc.6465
111. From simple to complex – Comparing four modelling tools for quantifying hydrologic ecosystem services B. Decsi et al. 10.1016/j.ecolind.2022.109143
112. 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
113. 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