Eunjin Han
Associate Research Scientist
Background
Eunjin is an Associate Research Scientist working on the integrations of advanced climate information, remote sensing data, and crop/agro-hydrological models for crop yield predictions and climate risks assessment for informing decisions at the farm scale to the policy level. She received her Ph.D. degree in Civil Engineering from Purdue University. Before joining IRI, she worked at USDA-ARS Hydrology and Remote Sensing Lab focusing on improvement of a soil moisture data assimilation system for agricultural drought monitoring. Currently Eunjin is working on improving a climate-based crop forecasting system, including application of data assimilation techniques to agricultural modeling.
Research Interests
Optimal integration of ground measurements, remote sensing observations and hydrologic modeling at various scales to improve hydrologic predictions; application of data assimilation techniques to hydrological and/or agricultural modeling; applications of remote sensing data and GIS for water resources management; climate change impact on water cycle.
Published Papers
Han, Eunjin, A.V. Ines and W. Baethgen, Climate-Agriculture-Modeling and Decision Tool (CAMDT): A Software Framework for Climate Risk Management in Agriculture, Environmental Modeling & Software, 95, pp.102-114. (2017)
Han, Eunjin and A.V. Ines, Downscaling Probabilistic Seasonal Climate Forecasts for Decision Support in Agriculture: A Comparison of Parametric and Non-parametric Approach, Climate Risk Management, 18, pp.51-65. (2017)
Andreadis, Konstantinos, N. Das, D. Stampoulis, A.V. Ines, J. Fisher, S. Granger, J. Kawata, E. Han, and A. Behrangi, A GIS-enabled Software Framework for Hydrologic Modeling and Data Assimilation, PLOS ONE 12.5 (2017)
Crow, Wade, E. Han, D. Ryu, C.R. Hain and M.C. Anderson, Estimating annual water storage variations in medium-scale (2000–10,000km2) basins using microwave-based soil moisture retrievals, Hydrologic and Earth System Sciences, 21, pp.1849-1862. (2017)
Chinnachodteeranun, Rassarin, N. Hung, K. Honda, A.V. Ines, and E. Han, Designing and Implementing Weather Generators as Web Services, Future Internet, 8(4), 55 (2016) [Impact factor: 1.65]
Capa-Morocho, Mirian, A.V. Ines, W. Baethgen, B. Rodríguez-Fonseca, E. Han and M. Ruiz-Ramosa, Crop yield outlooks in the Iberian Peninsula: Connecting Seasonal Climate Forecasts with Crop Simulation Models, Agricultural Systems, 149, pp.75-87. (2016)
Han, Eunjin, W.T. Crow, C.R. Hain and M.C. Anderson, On the Use of a Water Balance to Evaluate Inter-annual Terrestrial ET Variability, Journal of Hydrometeorology,16, pp.1102-1108. (2015)
Han, Eunjin, W. Crow, T. Holmes and J. Bolten, Benchmarking a Soil Moisture Data Assimilation System for Agricultural Drought Monitoring. Journal of Hydrometeorology, 15, pp.1117–1134. (2014)
Han, Eunjin, V. Merwade, G. Heathman and M. Cosh, Application of Observation Operators for Field-scale Soil Moisture Averages and Variances in Agricultural Landscapes, Journal of Hydrology, Vol. 444-445, pp. 34-50. (2012)
Han, Eunjin, V. Merwade and G. Heathman, Implementation of Surface Soil Moisture Data Assimilation with Watershed Scale Distributed Hydrologic Model, Journal of Hydrology, Vol. 416-417, pp. 98-117. (2012)
Han, Eunjin, V. Merwade and G. Heathman, Application of Data Assimilation with the Root Zone Water Quality Model for Soil Moisture Profile Estimation in the Upper Cedar Creek, Indiana, Hydrological Processes, 26, pp. 1707-1719. (2012)
Heathman, Gary, M. Cosh, E. Han, T. Jackson, L. McKee and S. McAfee, Field-scale Spatiotemporal Analysis of Surface Soil Moisture for Evaluating Point-scale in-situ Networks, Geoderma, Vol. 170, pp. 195-205. (2012)
Heathman, Gary, M. Cosh, V. Merwade and E. Han, Multi-scale Temporal Stability Analysis of Surface and Subsurface Soil Moisture within the Upper Cedar Creek Watershed, Indiana, Catena, Vol. 95, pp. 91-103. (2012)