106 citations as recorded by crossref.

1. Estimation of Initial Abstraction for Hydrological Modeling Based on Global Land Data Assimilation System–Simulated Datasets Y. Zheng et al. 10.1175/JHM-D-19-0202.1
2. Influence of mesh structure on 2D full shallow water equations and SCS Curve Number simulation of rainfall/runoff events D. Caviedes-Voullième et al. 10.1016/j.jhydrol.2012.04.006
3. Variability of the asymptotic curve number in mountainous undeveloped arid basins based on historical data: Case study in Saudi Arabia M. Farran & A. Elfeki 10.1016/j.jafrearsci.2019.103697
4. Improving Initial Abstraction Method of NRCS-CN for Estimating Effective Rainfall D. Park et al. 10.3741/JKWRA.2015.48.6.491
5. Spatial mapping and testing the applicability of the curve number method for ungauged catchments in Northern Ethiopia D. Gebresellassie Zelelew 10.1016/j.iswcr.2017.06.003
6. Hydrological Modeling and Characterization of the Khanpur Watershed, Pakistan M. Zaheer et al. 10.5942/jawwa.2016.108.0043
7. Statistical analysis of NRCS curve number (NRCS-CN) in arid basins based on historical data M. Farran & A. Elfeki 10.1007/s12517-019-4993-9
8. The LTER-Greece Environmental Observatory Network: Design and Initial Achievements N. Skoulikidis et al. 10.3390/w13212971
9. Ancient runoff agriculture at Early Bronze Age Jawa (Jordan): Water availability, efficiency and food supply capacity J. Meister et al. 10.1016/j.jasrep.2016.06.033
10. Excess Stormwater Quantification in Ungauged Watersheds Using an Event-Based Modified NRCS Model M. Ajmal et al. 10.1007/s11269-016-1231-z
11. Evaluating Pre‐ and Post‐Fire Peak Discharge Predictions across Western U.S. Watersheds A. Kinoshita et al. 10.1111/jawr.12226
12. Curve Numbers Seasonal Variation in Mid-Mediterranean Area F. D’Asaro et al. 10.1061/(ASCE)IR.1943-4774.0001334
13. Land Use Effect on the CN Model Parameters in a Tropical Dry Environment E. Andrade et al. 10.1007/s11269-017-1732-4
14. SCS Curve Number and Green-Ampt Infiltration Models G. Baiamonte 10.1061/(ASCE)HE.1943-5584.0001838
15. Sensitivity and fuzzy uncertainty analyses in the determination of SCS-CN parameters from rainfall–runoff data S. Hosseini & N. Mahjouri 10.1080/02626667.2018.1437272
16. The Revised Curve Number Rainfall–Runoff Methodology for an Improved Runoff Prediction K. Lee et al. 10.3390/w15030491
17. Exploiting satellite data for total direct runoff prediction using CN-based MSME model A. Wałęga et al. 10.1016/j.scitotenv.2023.168391
18. Impact of Monthly Curve Number on Daily Runoff Estimation for Ozat Catchment in India M. Gundalia & M. Dholakia 10.4236/ojmh.2014.44014
19. A Pragmatic Slope-Adjusted Curve Number Model to Reduce Uncertainty in Predicting Flood Runoff from Steep Watersheds M. Ajmal et al. 10.3390/w12051469
20. A GIS-Based Approach for the Sustainable Management of Livestock Effluents on Alpine Meadows F. Gubert et al. 10.3389/fsufs.2018.00055
21. The Role of the Spatial Distribution of Radar Rainfall on Hydrological Modeling for an Urbanized River Basin in Japan S. P. C. et al. 10.3390/w11081703
22. Evaluation of the Soil Conservation Service curve number methodology using data from agricultural plots M. Lal et al. 10.1007/s10040-016-1460-5
23. Adjustment to the curve number (NRCS-CN) to account for the vegetation effect on hydrological processes A. Gonzalez et al. 10.1080/02626667.2014.898119
24. Runoff Curve Numbers for Peat-Dominated Watersheds M. Menberu et al. 10.1061/(ASCE)HE.1943-5584.0001038
25. Evaluating the Effect of Deforestation on Decadal Runoffs in Malaysia Using the Revised Curve Number Rainfall Runoff Approach J. Khor et al. 10.3390/w15071392
26. Development of a robust runoff-prediction model by fusing the Rational Equation and a modified SCS-CN method X. Wang et al. 10.1080/02626667.2012.701305
27. Identifying areas sensitive to land use/land cover change for downstream flooding in a coastal Alabama watershed N. Noori et al. 10.1007/s10113-016-0931-5
28. A revisit of NRCS-CN inspired models coupled with RS and GIS for runoff estimation S. Verma et al. 10.1080/02626667.2017.1334166
29. Physical verification of the effect of land features and antecedent moisture on runoff curve number M. Lal et al. 10.1016/j.catena.2015.06.001
30. Curve Numbers for Olive Orchard Catchments: Case Study in Southern Spain E. Taguas et al. 10.1061/(ASCE)IR.1943-4774.0000892
31. Uncertainty Estimation of HEC-HMS Flood Simulation Model using Markov Chain Monte Carlo Algorithm م. نورعلی et al. 10.29252/jwmr.8.15.235
32. Stability assessment of the curve number methodology used to estimate excess rainfall in forest-dominated watersheds M. Ajmal et al. 10.1007/s12517-016-2421-y
33. Effect of formal and informal likelihood functions on uncertainty assessment in a single event rainfall-runoff model M. Nourali et al. 10.1016/j.jhydrol.2016.06.022
34. Storm event analysis of four forested catchments on the Atlantic coastal plain using a modified SCS-CN rainfall-runoff model D. Amatya et al. 10.1016/j.jhydrol.2022.127772
35. Damage assessment of infrastructure based on urban flood inundation simulation Z. Yifan et al. 10.1051/e3sconf/202019405056
36. A Web-Based Model to Estimate the Impact of Best Management Practices Y. Park et al. 10.3390/w6030455
37. Improvement of SCS-CN Initial Abstraction Coefficient in the Czech Republic: A Study of Five Catchments M. Caletka et al. 10.3390/w12071964
38. Quantifying Excess Stormwater Using SCS-CN–Based Rainfall Runoff Models and Different Curve Number Determination Methods M. Ajmal & T. Kim 10.1061/(ASCE)IR.1943-4774.0000805
39. Anomalous Behavior of the Curve-Number Infiltration Model D. Chin 10.1061/(ASCE)IR.1943-4774.0001381
40. Initial abstraction and curve numbers for semiarid watersheds in Southeastern Arizona Y. Yuan et al. 10.1002/hyp.9592
41. Climate change, water supply and environmental problems of headwaters: The paradigmatic case of the Tiber, Savio and Marecchia rivers (Central Italy) L. Di Matteo et al. 10.1016/j.scitotenv.2017.04.153
42. Improving Curve Number Based Storm Runoff Estimates Using Soil Moisture Proxies H. Beck et al. 10.1109/JSTARS.2009.2031227
43. Deficiencies in the Curve Number Method D. Chin 10.1061/(ASCE)IR.1943-4774.0001552
44. Coupling the modified SCS-CN and RUSLE models to simulate hydrological effects of restoring vegetation in the Loess Plateau of China G. Gao et al. 10.5194/hess-16-2347-2012
45. A micro focus with macro impact: Exploration of initial abstraction coefficient ratio (λ) in Soil Conservation Curve Number (CN) methodology L. Ling & Z. Yusop 10.1088/1755-1315/18/1/012121
46. A Calibrated, Watershed-Specific SCS-CN Method: Application to Wangjiaqiao Watershed in the Three Gorges Area, China L. Ling et al. 10.3390/w12010060
47. Including effects of watershed heterogeneity in the curve number method using variable initial abstraction V. Santikari & L. Murdoch 10.5194/hess-22-4725-2018
48. Effects of initial abstraction ratios in SCS-CN method on runoff prediction of green roofs in a semi-arid region W. Liu et al. 10.1016/j.ufug.2021.127331
49. The analysis of urban flood risk propagation based on the modified susceptible infected recovered model P. Wang et al. 10.1016/j.jhydrol.2021.127121
50. Determination of Runoff Curve Numbers for the Growing Season Based on the Rainfall–Runoff Relationship from Small Watersheds in the Middle Mountainous Area of Romania C. Strapazan et al. 10.3390/w15081452
51. GIS and remote sensing techniques for the assessment of the impact of land use change on runoff Ü. Köylü & A. Geymen 10.1007/s12517-016-2514-7
52. Empirical Investigation of Curve Number Method Parameters in the Mediterranean Area F. D’Asaro & G. Grillone 10.1061/(ASCE)HE.1943-5584.0000570
53. Particulate nutrient loss from drylands to grasslands/forestlands in a large-scale highly erodible watershed L. Wu et al. 10.1016/j.ecolind.2019.105673
54. On relationship between curve numbers and phi indices D. Chin 10.1016/j.wse.2018.09.006
55. Influence of hydrological runoff and catchment characteristics on accumulation floatable litter load in gross pollutant trap (GPT) N. Malik et al. 10.1007/s10163-021-01205-8
56. Accounting for Spatiotemporal Variations of Curve Number Using Variable Initial Abstraction and Antecedent Moisture V. Santikari & L. Murdoch 10.1007/s11269-018-2124-0
57. Effects of Spatial Distribution of Prairie Vegetation in an Agricultural Landscape on Curve Number Values D. Dziubanski et al. 10.1111/1752-1688.12510
58. Assessment of Soil and Water Conservation Practices in the Loess Hilly Region Using a Coupled Rainfall-Runoff-Erosion Model M. Cai et al. 10.3390/su12030934
59. Hydrological Response of Natural Mediterranean Watersheds to Forest Fires K. Soulis et al. 10.3390/hydrology8010015
60. Development of a Model to Identify the Flow at any Location of an Ungauged Stream for Selection of Sites for Small Hydel in the Kalimpong Subdivision of West Bengal P. Paul & S. Das 10.1007/s12594-018-0833-x
61. Distributed rainfall‐runoff modelling for flood frequency estimation and flood forecasting L. Brocca et al. 10.1002/hyp.8042
62. SCS-CN parameter determination using rainfall-runoff data in heterogeneous watersheds – the two-CN system approach K. Soulis & J. Valiantzas 10.5194/hess-16-1001-2012
63. Sources of uncertainty in the NRCS CN model: Recognition and solutions P. Durán‐Barroso et al. 10.1002/hyp.11305
64. Hydrological modelling for flood forecasting: Calibrating the post-fire initial conditions C. Papathanasiou et al. 10.1016/j.jhydrol.2015.07.038
65. A CN-Based Ensembled Hydrological Model for Enhanced Watershed Runoff Prediction M. Ajmal et al. 10.3390/w8010020
66. Green‐Ampt Curve‐Number mixed procedure as an empirical tool for rainfall–runoff modelling in small and ungauged basins S. Grimaldi et al. 10.1002/hyp.9303
67. Curve number estimation using rainfall and runoff data from five catchments in Sudan S. Ibrahim et al. 10.1515/geo-2022-0356
68. Application of the SCS–CN Method to the Hancheon Basin on the Volcanic Jeju Island, Korea M. Kang & C. Yoo 10.3390/w12123350
69. Estimation of Peak Discharges under Different Rainfall Depth–Duration–Frequency Formulations A. Gioia et al. 10.3390/hydrology8040150
70. Assessment of the impact of LULC changes on peak discharge and runoff volume in Kebir river catchment Northeastern of Algeria L. Djellit et al. 10.1007/s40808-024-01981-w
71. Relationship between Curve Number and ϕ-Index N. Karpathy & D. Chin 10.1061/(ASCE)IR.1943-4774.0001426
72. Drying Urban lakes: A consequence of climate change, urbanization or other anthropogenic causes? An insight from northern India D. Singh & N. Singh 10.1111/lre.12262
73. Improved Algorithm of SCS-CN Model Parameters in Typical Inland River Basin in Central Asia J. Wang et al. 10.1088/1755-1315/57/1/012051
74. Modelling the future climate impacts on hydraulic infrastructure development in tropical (peri-)urban region: Case of Kigali, Rwanda P. Iradukunda et al. 10.1016/j.heliyon.2024.e27126
75. Effect of the North Atlantic Oscillation on winter daily rainfall and runoff in the Abruzzo region (Central Italy) L. Vergni et al. 10.1007/s00477-015-1194-2
76. Comparison of conceptual rainfall–runoff models in semi‐arid watersheds of eastern Algeria I. Abdi & M. Meddi 10.1111/jfr3.12672
77. An Improved SCS-CN Method Incorporating Slope, Soil Moisture, and Storm Duration Factors for Runoff Prediction W. Shi & N. Wang 10.3390/w12051335
78. Comparison of SCS-CN determination methodologies in a heterogeneous catchment A. Walega et al. 10.1007/s11629-015-3592-9
79. Subway travel risk evaluation during flood events based on smart card data D. Sun et al. 10.1080/19475705.2022.2134056
80. Investigation of the direct runoff generation mechanism for the analysis of the SCS-CN method applicability to a partial area experimental watershed K. Soulis et al. 10.5194/hess-13-605-2009
81. Reconstructing the Tropical Storm Ketsana flood event in Marikina River, Philippines C. Abon et al. 10.5194/hess-15-1283-2011
82. Derivation of Soil Moisture Recovery Relation Using Soil Conservation Service (SCS) Curve Number Method J. Kim et al. 10.3390/w10070833
83. A review of the current state of process-based and data-driven modelling: guidelines for Lake Erie managers and watershed modellers A. Neumann et al. 10.1139/er-2020-0070
84. Runoff Estimation Using the NRCS Slope-Adjusted Curve Number in Mountainous Watersheds M. Ajmal et al. 10.1061/(ASCE)IR.1943-4774.0000998
85. Evaluation and validity of the antecedent moisture condition (AMC) of Natural Resources Conservation Service-Curve Number (NRCS-CN) procedure in undeveloped arid basins M. Farran & A. Elfeki 10.1007/s12517-020-5242-y
86. Urban Flood Depth Estimate With a New Calibrated Curve Number Runoff Prediction Model L. Ling et al. 10.1109/ACCESS.2020.2964898
87. Development of a fully-distributed daily hydrologic feedback model addressing vegetation, land cover, and soil water dynamics (VELAS) C. Park et al. 10.1016/j.jhydrol.2013.04.027
88. Curve Number: Empirical Evaluation and Comparison with Curve Number Handbook Tables in Sicily F. D’Asaro et al. 10.1061/(ASCE)HE.1943-5584.0000997
89. Research on the SCS-CN initial abstraction ratio using rainfall-runoff event analysis in the Three Gorges Area, China Z. Shi et al. 10.1016/j.catena.2008.11.006
90. New Paradigm for Sizing Riparian Buffers to Reduce Risks of Polluted Storm Water: Practical Synthesis M. Walter et al. 10.1061/(ASCE)0733-9437(2009)135:2(200)
91. Use of Nonofficial Intermittent Waterfall Occurrence Data for the Validation of an Infiltration Model for Volcanic Jeju Island, Korea M. Kang & C. Yoo 10.3390/w15122260
92. Investigation of SCS-CN and its inspired modified models for runoff estimation in South Korean watersheds M. Ajmal et al. 10.1016/j.jher.2014.11.003
93. Evaluation of urban growth effects on surface runoff using SCS-CN method and Green-Ampt infiltration model C. Suribabu & J. Bhaskar 10.1007/s12145-014-0193-z
94. Sediment Reallocations due to Erosive Rainfall Events in the Three Gorges Reservoir Area, Central China F. Stumpf et al. 10.1002/ldr.2503
95. Estimation of SCS Curve Number variation following forest fires K. Soulis 10.1080/02626667.2018.1501482
96. SCS-CN-Based Improved Models for Direct Surface Runoff Estimation from Large Rainfall Events R. Verma et al. 10.1007/s11269-021-02831-5
97. The Use of Asymptotic Functions for Determining Empirical Values of CN Parameter in Selected Catchments of Variable Land Cover A. Wałęga et al. 10.1515/sgem-2017-0041
98. Comparison of design peak flow estimation methods for ungauged basins in Iran A. Petroselli et al. 10.1080/02626667.2019.1686506
99. Étude de l'impact de l'extension et de la densification du tissu urbain sur les coefficients de ruissellement dans le bassin versant des oueds El-Ghrich et El-Greb (Tunis) par l'application de la méthode SCS aux évènement N. Fehri & Y. Zahar 10.4000/physio-geo.4769
100. Feasible Ranges of Runoff Curve Numbers for Korean Watersheds Based on the Interior Point Optimization Algorithm J. Lee et al. 10.1007/s12205-019-0901-9
101. On the possibilities of watershed parameterization for extreme flow estimation in ungauged basins S. Kohnová et al. 10.5194/piahs-370-171-2015
102. The L-moment based regional approach to curve numbers for Slovak and Polish Carpathian catchments S. Kohnová et al. 10.2478/johh-2020-0004
103. Probabilistic properties of a curve number: A case study for small Polish and Slovak Carpathian Basins A. Rutkowska et al. 10.1007/s11629-014-3123-0
104. Sensitivity and fuzzy uncertainty analyses in the determination of SCS-CN parameters from rainfall–runoff data S. Hosseini & N. Mahjouri 10.1080/02626667.2018.1437272
105. The LTER-Greece Environmental Observatory Network: Design and Initial Achievements N. Skoulikidis et al. 10.3390/w13212971
106. Performance evaluation of spatial lumped model and spatial distributed travel time model using event based rainfall for hydrological simulation M. Rosli et al. 10.1007/s12517-022-11068-4