Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in R MJ Shin, JHA Guillaume, BFW Croke, AJ Jakeman Journal of Hydrology 503, 135-152, 2013 | 175 | 2013 |
A review of foundational methods for checking the structural identifiability of models: Results for rainfall-runoff MJ Shin, JHA Guillaume, BFW Croke, AJ Jakeman Journal of Hydrology 520, 1-16, 2015 | 72 | 2015 |
Analysis of groundwater level variations caused by the changes in groundwater withdrawals using long short-term memory network MJ Shin, SH Moon, KG Kang, DC Moon, HJ Koh Hydrology 7 (3), 64, 2020 | 40 | 2020 |
Estimation of peak flow in ungauged catchments using the relationship between runoff coefficient and curve number NW Kim, MJ Shin Water 10 (11), 1669, 2018 | 25 | 2018 |
Assessment of the suitability of rainfall–runoff models by coupling performance statistics and sensitivity analysis MJ Shin, CS Kim Hydrology Research 48 (5), 1192-1213, 2017 | 19 | 2017 |
Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in RJ Hydrol MJ Shin, JHA Guillaume, BFW Croke, AJ Jakeman | 19 | 2013 |
Using a global sensitivity analysis to estimate the appropriate length of calibration period in the presence of high hydrological model uncertainty MJ Shin, Y Jung Journal of Hydrology 607, 127546, 2022 | 15 | 2022 |
Alteration of hydrologic indicators for Korean catchments under CMIP5 climate projections MJ Shin, HI Eum, CS Kim, IW Jung Hydrological Processes 30 (24), 4517-4542, 2016 | 15 | 2016 |
Sensitivity analysis to investigate the reliability of the grid-based rainfall-runoff model MJ Shin, YS Choi Water 10 (12), 1839, 2018 | 14 | 2018 |
Combining an r-based evolutionary algorithm and hydrological model for effective parameter calibration MJ Shin, YS Choi Water 10 (10), 1339, 2018 | 12 | 2018 |
A comparison study of runoff projections for Yongdam dam watershed using SWAT CM Jung, MJ Shin, YO Kim Journal of Korea Water Resources Association 48 (6), 439-449, 2015 | 10 | 2015 |
Application of runoff coefficient and rainfall-intensity-ratio to analyze the relationship between storm patterns and flood responses NW Kim, MJ Shin, JE Lee Hydrology and Earth System Sciences Discussions 2016, 1-48, 2016 | 9 | 2016 |
Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in RJ Hydrol. 503, 135–152 MJ Shin, JHA Guillaume, BFW Croke, AJ Jakeman | 9 | 2013 |
Component combination test to investigate improvement of the IHACRES and GR4J rainfall–runoff models MJ Shin, CS Kim Water 13 (15), 2126, 2021 | 7 | 2021 |
Preliminary study of computational time steps in a physically based distributed rainfall–runoff model YS Choi, MJ Shin, KT Kim Water 10 (9), 1269, 2018 | 6 | 2018 |
A study on a simple algorithm for parallel computation of a grid-based one-dimensional distributed rainfall-runoff model YS Choi, MJ Shin, KT Kim KSCE Journal of Civil Engineering 24 (2), 682-690, 2020 | 5 | 2020 |
Analysis of the effect of uncertainty in rainfall-runoff models on simulation results using a simple uncertainty-screening method MJ Shin, CS Kim Water 11 (7), 1361, 2019 | 5 | 2019 |
Curve Number estimation of ungauged catchments considering characteristics of rainfall and catchment NW Kim, MJ Shin KSCE Journal of Civil Engineering 23 (4), 1881-1890, 2019 | 5 | 2019 |
Experimental study of rainfall spatial variability effect on peak flow variability using a data generation method NW Kim, MJ Shin Journal of Korea Water Resources Association 50 (6), 359-371, 2017 | 4 | 2017 |
Comparative analysis of activation functions of artificial neural network for prediction of optimal groundwater level in the middle mountainous area of Pyoseon watershed in … MJ Shin, JW Kim, DC Moon, JH Lee, KG Kang Journal of Korea Water Resources Association 54 (spc1), 1143-1154, 2021 | 3 | 2021 |