Sanghoon Shin
Post-Doctoral Associate
Earth System Science Interdisciplinary Center (ESSIC) at University of Maryland (UMD)
shinsa11 (at) umd (dot) edu
I have developed hyper-resolution global hydrological models, which can provide locally relevant but globally available information. My primary focus is on how dam construction and its operation have changed and will change water resources and hydrology, specifically surface water storage and extent dynamics. The primary domains of interest are the Contiguous US and the Mekong river basin, which is shared by six Southeast Asian countries, where the unprecedented boom in hydropower dam construction has been occurring. Now at UMD, I am working for developing a Dashboard for Agricultural Water use and Nutrient management (DAWN).
Education
Ph.D., Civil Engineering, Michigan State University 2019
M.E., Water Resources Engineering, Korea University 2014
B.S., Civil and Environmental Engineering, Korea University 2012
Research Experiences
University of Maryland (Feb. 2021 - Present)
As a post-doctoral associate, I am working on an USDA funded project that develops a Dashboard for Agricultural Water use and Nutrient management (DAWN) and a NOAA funded project that improves ensemble systems for subseasonal forecast.
Development of an advanced dynamic climate-hydrology-crop-economy modeling and decision support system.
Deployment and testing of the climate forecast system prototype of the Climate Forecast System Version 2 (CFSv2) and Climate and Weather Research Forecasting (CWRF) to be ready for operational usages.
Improving the Conjunctive Surface-Subsurface Process (CSSP) model, which is a land hydrology module of CWRF.
Development of seasonal inundation forecasting module for the contiguous US under the DWAN framework.
Evaluation of the candidate NCEP Global Ensemble Forecast System v13 (GEFSv13) to diagnose the forecast errors related to the air-sea interactions and cloud-radiative effects
Michigan State University (Aug. 2015 - Feb. 2021)
As a graduate research assistant (Aug. 2015-Aug. 2019) and post-doctoral researcher (Sep. 2019-Feb. 2021), I worked on the projects funded by NASA Land-Cover and Land-Use Change (LCLUC) program, NASA Interdisciplinary Research in Earth Science (IDS) program, and Michigan State University.
Development of high-resolution reservoir operation scheme in continental scales (developed for the contiguous US)
Investigation of potential disruption of flood dynamics in the lower Mekong river basin (LMRB) and Mekong delta due to upstream flow regulation
Investigation of hydrological, agricultural, and ecological impacts of dam construction in the Mekong River basin
Exploration of fish catch dynamics, virtual water system for meat products, and the impact of dietary shift on land use change in the LMRB
Investigation of compounding impacts of cascade hydropower development and climate change on the flood and sediment regimes in the MRB
Assessment of the historical changes in river discharge, flood occurrence, and terrestrial water storage (TWS) across the entire river basins in Nepal for 40 years
Korea University (Jun. 2011 - Jun. 2015)
As an undergraduate (Jun 2011-Feb 2012) and graduate (Mar 2012-Feb 2014) research assistant and post-graduate researcher (Mar 2014-Jun 2015), I worked on the research projects funded by National Research Foundation of Korea (NRF): “Simulating land surface dynamics in conjunction with investigation of feedback cycles between hydrological processes, geomorphological formation, and vegetation patterns”.
Development of surface flow path searching algorithm (iGD8; improved GD8) for the Digital Elevation Model (DEM)
Implementation of iGD8 to the Landscape Evolution model using Global Search (LEGS)
Production and operation of sediment transport experiment apparatus
Development of inverse analysis program to predict anomalous zone using the Harmony Search algorithm
Investigation for multi-scaling properties of rainfall
Data curation and assessment for 1-min resolution rain gauge data of 68 weather stations over 11 years
Calculation of erosivity in Universal Soil Loss Equation (USLE) over the Korea peninsula
Peer-reviewed Publications
Liang, X.Z., D. Gower, J. A. Kennedy, ..., S. Shin, et al. (2024) "DAWN: Dashboard for Agricultural Water Use and Nutrient Management—A Predictive Decision Support System to Improve Crop Production in a Changing Climate", Bulletin of the American Meteorological Society, E432–E441, doi:10.1175/BAMS-D-22-0221.1.
Baniya, R., R. Talchabhadel, J. Panthi, G.R. Ghimire, S. Sharma, P. D. Khadka, S. Shin, Y. Pokhrel, U. Bhattarai, U. Bhattarai, R. Prajapati, B.R. Thapa, R.K. Maskey (2023) “Nepal Himalaya Offers Considerable Potential for Pumped Storage Hydropower”, Sustainable Energy Technologies and Assessments, Vol. 60, 103423, doi:10.1016/j.seta.2023.103423.
Zhu, Y., B. Fu, B. Yang, H. Guan, E. Sinsky, W. Li, J. Peng, X. Xue, D. Hou, X-Z. Liang, S. Shin (2023) "Quantify the Coupled GEFS Forecast Uncertainty for the Weather and Subseasonal Prediction", Journal of Geophysical Research: Atmospheres, 128, e2022JD037757, doi:10.1029/2022JD037757
Dang, H., Y. Pokhrel, S. Shin, J. Stelly, D. Ahlquist, D. D. Bui (2022) “Hydrologic balance and inundation dynamics of Southeast Asia's largest inland lake altered by hydropower dams in the Mekong River basin”, Science of the Total Environment, Vol. 831, 154833, doi:10.1016/j.scitotenv.2022.154833
Shin, S., Y. Pokhrel, R. Talchabhadel, J. Panthi (2021) "Spatio-temporal dynamics of hydrologic changes in the Himalayan river basins of Nepal using high-resolution hydrological-hydrodynamic modeling", Journal of Hydrology, Vol. 598, 126209, doi:10.1016/j.jhydrol.2021.126209.
Kang, H., S. Shin, K. Paik (2020) “Power Laws in Intra-storm Temporal Rainfall Variability”, Journal of Hydrology, Vol. 590, 125233, doi:10.1016/j.jhydrol.2020.125233.
Shin, S., Y. Pokhrel, D. Yamazaki, X. Huang, N. Torbick, J. Qi, S. Pattanakiat, T. Ngo-Duc, T.D. Nguyen (2020) “High Resolution Modeling of River-floodplain-reservoir Inundation Dynamics in the Mekong River Basin” Water Resources Research, Vol. 56, Issue 5, e2019WR026449, doi:10.1029/2019WR026449.
Burbano, M., S. Shin, K. Nguyen, Y.N. Pokhrel (2020) “Hydrologic Changes, Dam Construction, and the Shift in Dietary Protein in the Lower Mekong River Basin”, Journal of Hydrology, Vol. 581, 124454, doi:10.1016/j.jhydrol.2019.124454.
Shin, S., Y. Pokhrel, G. Miguez-Macho (2019) “High Resolution Modeling of Reservoir Release and Storage Dynamics at the Continental Scale”, Water Resources Research, Vol. 55, Issue 1, pp.787-810. doi:10.1029/2018WR023025.
Pokhrel, Y., S. Shin, Z. Lin, D. Yamazaki, J. Qi (2018) “Potential Disruption of Flood Dynamics in the Lower Mekong River Basin Due to Upstream Flow Regulation”, Scientific Report, 8:17767, doi:10.1038/s41598-018-35823-4.
Chaudhari, S., F. Felfelani, S. Shin, Y. Pokhrel (2018) “Climate and Anthropogenic Contributions to the Desiccation of the Second Largest Saline Lake in the Twentieth Century”, Journal of Hydrology, Vol. 560, pp.342-353, doi:10.1016/j.jhydrol.2018.03.034.
Pokhrel, Y. N., F. Felfelani, S. Shin, T. Yamada, Y. Satoh (2017) “Modeling Large-scale Human Alteration of Land Surface Hydrology and Climate”, Geoscience letters, Vol. 4, No.10, doi:10.1186/s40562-017-0076-5.
Shin, S. and K. Paik (2017) “An Improved Method for Single Flow Direction Calculation in Grid Digital Elevation Models” Hydrological processes, Vol. 31, Issue 8, pp.1650-1661, doi:10.1002/hyp.11135.
Shin, S., W. Kim, S. Lee, K. Paik (2015) “Influence of Spatial Rainfall Distribution on Sediment Yield: An Experimental Study” Journal of Korean Society of Civil Engineers, Vol. 35, No.1, pp.111-117, doi:10.12652/Ksce.2015.35.1.0111.
Park, J., K. Lee, S. Shin, S. Lee, I. Lee (2014). “Harmony Search Algorithm to Predict Anomalous Zone Ahead of Tunnel Face Utilizing Electrical Resistivity Survey” Journal of Korean Tunnelling and Underground Space Association, Vol. 16, Issue 2, pp. 149-160, doi:10.9711/KTAJ.2014.16.2.149.
Presentations
Shin, S., C. Sun, and X. Z. Liang (2024) “Improving U.S. Seasonal Climate Prediction by CWRF Downscaling from NOAA Operational Forecasts with Bias Correction”, The 104th AMS Annual Meeting, Baltimore, United States.
Shin, S., C. Sun, and X. Z. Liang (2022) “Prediction Performance of Coupled Climate–Hydrology–Hydrodynamic Model on the River–Floodplain Hydrodynamics: Sensitivity of Model Initialization Conditions”, The 102nd AMS Annual Meeting, United States (Oral; Online due to COVID-19).
Zhu, Y., B. Fu, B. Yang, H. Guan, E. Sinsky, W. Li, J. Peng, X. Xue, D. Hou, X. Z. Liang, and S. Shin (2022) “Improving NCEP GEFS for Subseasonal Forecasts”, The 102nd AMS Annual Meeting, United States (Oral; Online due to COVID-19).
Shin, S. (2020) “Investigating the Impact of Manmade Reservoirs on Large-scale Hydrology and Water Resources Using High-resolution Modeling”, The 3rd Water Engineering Conference, Seoul, South Korea (Invited; Oral; Online due to COVID-19).
Shin, S. and Y. Pokhrel (2020) “Compounded Effects of Climate Change and Cascade Hydropower Development on the Flood and Sediment Regimes in the Mekong River Basin”, 2020 AGU Fall Meeting, San Francisco, United States (Online due to COVID-19).
Pokhrel, Y., S. Shin, S.N. Chaudhari, D. Yamazaki (2019) "Toward hyper-resolution reservoir modeling at the continental scale", 2019 AGU Fall Meeting, San Francisco, United States (invited).
Shin, S. and Y. N. Pokhrel (2018). “Technical Challenges in the Sophistication of Reservoir Operation Schemes in Hyper-resolution Global Hydrological Modeling”, 2018 AGU Fall Meeting, Washington D.C., United States (Oral).
Pokhrel, Y. N., S. Shin, Z. Lin, D. Yamazaki, and J. Qi (2018). “Changes in Flood Dynamics in the Lower Mekong River Basin Due to Upstream Flow Regulation”, 2018 AGU Fall Meeting, Washington D.C., United States (Link).
Shin, S. and Y. N. Pokhrel (2017). “High Resolution Modeling of Reservoir Storage and Extent Dynamics at the Continental Scale” 2017 AGU Fall Meeting, New Orleans, United States.
Pokhrel, Y. N., F. Felfelani, and S. Shin (2017) “Global, Regional, and Local-scale Assessment of the Impacts of Irrigation and Reservoir Operation on Land Hydrology and Climate”, JpGU-AGU Joint Meeting 2017, Chiba, Japan.
Shin, S. and Y. N. Pokhrel (2016). “High-resolution Continental Scale Land Surface Model incorporating Land-water Management in United States” 2016 AGU Fall Meeting, San Francisco, United States.
Pokhrel, Y. N., T. Yamada, S. Shin, L. Luo, D. Lu, and K. Deb (2016). “Modeling Impacts of irrigation on Land Surface Hydrology and Subseasonal Forecast” 2016 AGU Fall Meeting, San Francisco, United States (Invited).
Paik, K. and S. Shin (2016). “Within-storm Rainfall Structure: Scale-invariance with Time Window” 13th Annual Meeting Asia Oceania Geosciences Society (AOGS), Beijing, China.
Kim, Y., S. Shin, J. Byun, K. Paik (2015). "Observation of Spatio-temporal Soil Loss in Soil Erosion Experiment Using a Stereo Photogrammetry Technique" Proceedings of the Korea Water Resources Association Conference, Goseong, Korea.
Shin, S. and K. Paik (2014). “The Variability between Maximum Rainfall Intensity and Time Window within Storm” Proceedings of Korean Society of Civil Engineers Conference, Daegu, Korea.
Shin, S., W. Kim, S. Lee, and K. Paik (2013). “Study for Temporal Sediment Yield by Rainfall with Hillslope Erosion Experiment” Proceedings of Korean Society of Civil Engineers Conference, Guwangju, Korea.
Shin, S. and K. Paik (2013). “For Better Representation of Stream Flow Networks in DEMs” Asia Pacific Association of Hydrology and Water Resources (APHW) 6th Conference, Seoul, Korea.
Shin, S. and K. Paik (2012). “Estimation of 30 Minutes Maximum Rainfall Intensity for Rainfall Erosivity in USLE” Proceedings of Korea Water Resources Association Conference, Jeongsun, Korea.
Other links
Multi-Scale Hydrological Modeling Lab (Michigan State University; Dr. Yadu Pokhrel's lab)
Riverscape Dynamics Laboratory (Korea University; Dr. Kyungrock Paik's lab)