Comparative assessment of sequential data assimilation-based streamflow predictions using semi-distributed and lumped GR4J hydrologic models: a case study of Namgang Dam basin
Lee, G., Woo, D. K., Noh, S. J.
J. Korea Water Resour. Assoc. 57(9), 585-598 (2024)
Climate change impact assessment on water resources management using a combined multi-model approach in South Korea
Noh, S. J., Lee, G., Kim, B., Lee, S., Joe, J., Woo, D. K.
Journal of Hydrology: Regional Studies, 53, 1018427 (2024)
High-resolution medium-range streamflow prediction using distributed hydrological model WRF-Hydro and numerical weather forecast GDAPS
Kim, S., Kim, B., Lee, G., Lee, Y., Noh, S. J.
J. Korea Water Resour. Assoc., 57(5), 333-346 (2024)
Development and application of cellular automata-based urban inundation and water cycle model CAW
Lee, S., Choi, H., Woo, H., Kim, M., Noh, S. J.
J. Korea Water Resour. Assoc., 57(3), 165-179 (2024)
Assessment of the Impact of Spatial Variability on Streamflow Predictions Using High-Resolution Modeling and Parameter Estimation: Case Study of Geumho River Catchment, South Korea
Kim, B., Lee, G., Lee, Y., Kim, S., Noh, S. J.
Water, 16(4), 591 (2024)
Applying deep learning based super-resolution technique for high-resolution urban flood analysis
Choi, H., Lee, S., Woo, H., Kim, M., Noh, S. J.
J. Korea Water Resour. Assoc., 56(10), 641-653 (2023)
Climate change impact analysis on water supply reliability and flood risk using combined rainfall-runoff and reservoir operation modeling: Hapcheon-Dam catchment case
Noh, S. J., Lee, G., Kim, B., Jo, J., Woo, D. K.
J. Korea Water Resour. Assoc., 56(11), 765-774 (2023)
High-resolution Urban Flood Modeling using Cellular Automata-based CADDIES-2D in the Oncheon-cheon Catchment in Busan, South Korea
Choi, H., Lee, S., Woo, H., Noh, S. J.
J. KSCE, 43(5), 587-599 (2023)
Assessing the sensitivity of runoff projections under precipitation and temperature variability using lumped runoff-rainfall models: IHACRES and GR4J
Woo, D. K., Jo, J., Kang, B., Lee, S., Lee, G., Noh, S. J.
J. KSCE, 43(1), 43-54 (2023)
Enhancing tidal wave predictions at the estuary of the Nakdong-River using fixed-lag smoother
Choi, H., Kim, B., Lee, G., Noh, S. J.
Energies, 16(1), 237 (2023)
A review on urban inundation modeling research in South Korea: 2001-2022
Lee, S., Kim, B., Choi, H., Noh, S. J.
J. Korea Water Resour. Assoc., 55(10), 707-721 (2022)
Comparative assessment and uncertainty analysis of ensemble-based hydrologic data assimilation using airGRdatassim
Lee, G., Kim, B., Lee, S., Woo, D. K., Noh, S. J.
J. Korea Water Resour. Assoc., 55(10), 761-774 (2022)
Development and application of integrated indicators for assessing the water resources performance of multi-purpose and water supply dams
Sung, J., Kang, B., Kim, B., Noh, S. J.
J.Korea Water Resour. Assoc., 55(9), 687-700 (2022)
Retrospective analysis of the urban inundation and the impact assessment of the flood barrier using H12 model
Kim, B., Noh, S. J., Lee, S.
J. Korea Water Resour. Assoc., 55(5), 345-356 (2022)
Improving flood forecasting using conditional bias-aware assimilation of streamflow observations and dynamic assessment of flow-dependent information content
Shen, H., Seo, D.-J., Lee, H., Liu, Y., Noh, S. J.
Journal of Hydrology 605, 127247 (2022)
Ensemble streamflow data assimilation using WRF-Hydro and DART: novel localization and inflation techniques applied to Hurricane Florence flooding
El Gharamti, M., McCreight, J. L., Noh, S. J., Hoar, T. J., RafieeiNasab, A., Johnson, B. K.
Hydrology and Earth System Sciences 25, 5315 (2021)
High-resolution modeling and prediction of urban floods using WRF-Hydro and data assimilation
Kim, S., Shen, H., Noh, S. J., Seo, D.-J. Welles, E., Pelgrim, E., Weerts, A., Lyons, E., Philips, B.
Journal of Hydrology 598, 126236 (2021)
Identification of Inundation Using Low-Resolution Images from Traffic-Monitoring Cameras: Bayes Shrink and Bayesian Segmentation
Wu, Y.C., Noh, S.J., Ham, S.
Water 12, 1725 (2020)
Improving Multisensor Precipitation Estimation via Adaptive Conditional Bias-Penalized Merging of Rain Gauge Data and Remotely-Sensed Quantitative Precipitation Estimates
Jozaghi, A., Nabatian, M., Noh, S. J., Seo, D.-J., Tang, L., Zhang, J.
Journal of Hydrometeorology 20, 2347 (2019)
Improving flood forecasting using conditional bias-penalized ensemble Kalman filter
Lee, H., Shen, H., Noh, S. J., Kim, S., Seo, D.-J., Zhang, Y.
J. Hydrol. 575, 596 (2019)
Retrospective dynamic inundation mapping of Hurricane Harvey flooding in the Houston metropolitan area using high-resolution modelling
Noh, S. J., Lee, H., Lee, S., Seo, D.-J.
Water 11(3), 597 (2019)
Toward parsimonious modeling of frequency of areal runoff from heavy-to-extreme precipitation in large urban areas under changing conditions: a derived moment approach
Norouzi, A., Habibi, H., Nazari, B., Noh, S. J., Seo, D.-J., Zhang, Y.
SERRA 33, 1263 (2019)
High-Resolution Hydrologic Forecasting for Very Large Urban Areas
Habibi, H., Dasgupta, I., Noh, S. J., Kim, S., Zink, M., Seo, D.-J., Bartos, M., and Kerkez, B.
Journal of Hydroinformatics 21(3), 441 (2019)
Hyper-resolution 1D-2D urban flood modelling using LiDAR data and hybrid parallelization
Noh, S. J., Lee, J., Lee, S., Kawaike, K., Seo, D.-J.
Environmental Modelling and Software 103, 131 (2018)
Hybrid numerical scheme of Preissmann Slot Model for Transient Mixed Flows
An, H., Lee, S., Noh, S. J., Kim, Y., Noh, J.
Water 10(7), 899 (2018)
Real-time assimilation of streamflow observations into a hydrologic routing model: Effects of model structures and updating methods
Mazzoleni, M., Noh, S. J.*, Lee, H., Liu, Y., Seo, D. J., Amaranto, A., Alfonso, L., Solomatine, D. P.
Hydrological Sciences Journal 63, 385 (2018)
Data assimilation in hydrologic routing: impact of model error and sensor placement on flood forecasting
Mazzoleni, M., Chacon-Hurtado, J, Noh, S. J., Seo, D.-J., Alfonso, L, Solomatine, D.
J. Hydrol. Eng. 23(6), 1943 (2018)
Improving multisensor estimation of heavy-to-extreme precipitation via conditional bias-penalized optimal estimation
Kim, B., Seo, D.-J., Noh, S. J., Prat, O. P., Nelson, B. R.
J. Hydrol. 556, 1096 (2018)
Merging Real-Time Channel Sensor Networks with Continental-Scale Hydrologic Models: A Data Assimilation Approach for Improving Accuracy in Flood Depth Predictions
Javaheri, A., Nabatian, M., Omranian, E., Babbar-Sebens, M., Noh, S. J.
Hydrology 5(1), 9 (2018)
Flow vector analysis methods for a pressure sensor network on a steep hillslope
Gwak, Y., Kim, S., Lee, K., Noh, S. J., An, H.
Vadose Zone Journal 16(8) (2017)
Ensemble urban flood simulation in comparison with laboratory-scale experiments: Impact of interaction models for manhole, sewer pipe, and surface flow
Noh, S. J., Lee, S., An, H., Kawaike, K., Nakagawa, H.
Adv. Water Resour. 97, 25 (2016)
A weakly-constrained data assimilation approach to address rainfall-runoff model structural inadequacy in streamflow prediction
Lee, H., Seo, D.-J., Noh, S. J.
J. Hydrol. 542, 373 (2016)
Development of time-variant landslide-prediction software considering three-dimensional subsurface unsaturated flow
An, H., Viet, T., Lee, G., Kim, Y., Kim, M., Noh, S. J., Noh, J.
Environmental Modelling & Software 85, 172 (2016)
Simulation of soil moisture on a hillslope using multiple hydrologic models in comparison to field measurements
Noh, S. J., An, H., Kim, S., Kim, H. J.
J. Hydrol. 523, 342 (2015)
Performance of a rain barrel sharing network under climate change
Noh, S. J., Chung, E. S., Seo, Y.
Water 7, 3466 (2015)