Eunjin Han

Postdoctoral Research Scientist

  • Phone: +1 (845) 680-4507
  • Email: ude.aibmuloc.irinull@nijnue
  • Address:132 Monell
    61 Route 9W
    Palisades, NY 10964

Background

Eunjin is a postdoctoral 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, W. Crow, T. Holmes and J. Bolten, Benchmarking a Soil Moisture Data Assimilation System for Agricultural Drought Monitoring. Journal of Hydrometeorology, (2014) doi: http://dx.doi.org/10.1175/JHM-D-13-0125.1

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. McKeeand 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)