Eun Soon IM

Ph. D.(2006), Pusan National University, Korea
Associate Professor, Division of Environment and Sustainability
Associate Professor, Department of Civil and Environmental Engineering

Tel: (852) 2358 8190
Fax: (852) 2335 9317
Office: Room 4602 (Lift 29/30)
Link(s): Personal Home Page

Research Area
  • Climate, Atmospheric, and Environmental Science, Numerical Modeling  
Research Interests
  • Regional climate change due to global warming
  • Dynamical downscaling using a regional climate model
  • Process study using a regional climate model (e.g. land-atmosphere interaction)
  • Interdisciplinary approach between climate information and impact assessment
Recent Publications 
  • Ha S., Kim Y.-T., Im E.-S.* et al. 2023: Impacts of meteorological variables and machine learning algorithms on rice yield prediction in Korea. International Journal of Biometeorology, 67, 1825-1838.
  • Nguyen-Xuan T. and Im E.-S.*,  2023: Assessing the performance of the non hydrostatic RegCM4 with the improved urban parameterization over southeastern China. Urban Climate, 49, 101527.
  • Fan Y., Im E.-S.*, Lan C.-W., and Lo M.-H.*, 2023: An increase in precipitation driven by irrigation over the North China Plain based on RegCM and WRF simulations.Journal of Hydrometeorology, 24, 1155-1173.
  • Qiu L., Im E.-S.*, Min S.-K., et al., 2023: Direct and indirect application of univariate and multivariate bias corrections on heat-stress indices based on multi-RCM simulations. Earth System Dynamics, 14, 506-517.
  • Ha S., Zhou Z., Im E.-S.*, Lee Y.-M., 2023: Comparative assessment of future solar power potential based on CMIP5 and CMIP6 multi-model ensembles. Renewable Energy, 206, 324-335. 
  • Qiu L., Kim J.-B., Kim S.-H., Choi Y.-W., Im E.-S.*, Bae D.-H., 2022: Reduction of the uncertainties in the hydrological projections in Korean river basins using dynamically downscaled climate projections. Climate Dynamics, 59, 2151–2167.
  • Fan Y., Liao P.+, Im E.-S.*, and Lo M.-H., 2022: Regional disparities in the exposure to heat-related mortality risk under 1.5°C and 2°C global warming. Environ. Res. Lett., 17, 054009.
  • Lee M.-H, Qiu L., Ha S., Im E.-S.*, and Bae D.-H.*, 2022: Future projection of low flows in the Chungju basin, Korea and their uncertainty decomposition. Int. J. Climatol., 42, 157-174.
  • Nguyen-Xuan T., Lam S. L., Giorgi F., Coppola E., Giuliani G., Gao X., and Im E.-S.*, 2022: Evaluation of the performance of the non-hydrostatic RegCM4 (RegCM4-NH) over Southeastern China. Climate Dynamics, 58, 1419-1437.
  • Qiu L., and Im E.-S.*, 2021: Added value of high-resolution climate projections over South Korea on the scaling of precipitation with temperature. Environ. Res. Lett., 16, 124034
  • Im E.-S.*, Nguyen-Xuan T., Qiu L., et al., 2021: Emergence of robust anthropogenic increase of heat stress-related variables projected from CORDEX-CORE climate simulations. Climate Dynamics, 57, 1629-1644.
  • Im E.-S.*, Ha S., Qiu L., Hur J., Jo S., and Shim K.-M., 2021: An evaluation of temperature-based agricultural indices over Korea from the high resolution WRF simulations. Frontiers in Earth Science, 9, 656787.
  • Lo M.-H.*, Wey H.-W., Im E.-S.*, et al., 2021: Intense Agricultural Irrigation Induced Contrast Precipitation Changes in Saudi Arabia. Environ. Res. Lett. In press.
  • Im E.-S.*, Ha S., Qiu L., Hur J., Jo S., and Shim K.-M., 2021: An evaluation of temperature-based agricultural indices over Korea from the high resolution WRF simulations. Frontiers in Earth Science. 9, 656787, doi: 10.3389/feart.2021.656787. 
  • Qiu L.+, Im E.-S.*, Kwon H.-H., 2020: Categorization of precipitation changes in China under 1.5°C and 3°C global warming using the bivariate joint distribution from a multi-model perspective. Environ. Res. Lett. 15, 124043.
  • lm E.-S.*, Nguyen-Xuan T., Qiu L., et al., 2020: Emergence of robust anthropogenic increase of heat stress-related variables projected from CORDEX-CORE climate simulations. Climate Dynamics, In press.
  • T. Nguyen-Xuan, L. Qiu, Im, E.-S.*, Hur J., Shim K.-M., 2020: Sensitivity of Summer Precipitation over Korea to Convective Parameterizations in the RegCM4: An Updated Assessment, Advances in Meteorology.
  • Kim J.-B,  Im, E.-S.*, Bae D.-H., 2020: Intensified Hydroclimatic Regime in Korean Basins Under 1.5 and 2° C Global Warming, International Journal of Climatology 40 (4), 1965-1978.
  • L. Qiu, Im, E.-S.*, Hur J., Shim K.-M., 2020: Added Value of Very High Resolution Climate Simulations over South Korea using WRF Modeling System, Climate Dynamics 54 (1-2), 173-189.
  • M.-H. Lee, D.-H. Bae, Im, E.-S.*, 2019: Effect of the Horizontal Resolution of Climate Simulations on the Hydrological Representation of Extreme Low and High Flows, Water Resources Management 33 (13), 4653-4666.
  • Chen C.C., Lo M.H., Im, E.-S.*, Yu J.Y., Liang Y.C., Chen W.T., Tang I., Lan C.W., 2019: Thermodynamic and Dynamic Responses to Deforestation in the Maritime Continent: A Modeling Study, Journal of Climate 32 (12), 3505-3527.
  • Lee M.-H., Im, E.-S.*, Bae D.-H., 2019: Impact of the Spatial Variability of Daily Precipitation on Hydrological Projections: A Comparison of GCM‐and RCM‐Driven Cases in the Han River Basin, Korea, Hydrological Processes 33 (16), 2240-2257.
  • Lee M.-H., Lu M.,  Im, E.-S.*, Bae D.-H., 2019: Added Value of Dynamical Downscaling for Hydrological Projections in the Chungju Basin, Korea, International Journal of Climatology 39 (1), 516-531.
  • Im, E.-S.*, T. Nguyen-Xuan, Y.-H. Kim, and J.-B. Ahn, 2019: 2018 Summer extreme hot temperatures in South Korea and their intensification under 3°C global warming scenario. Environmental Research Letters, 14, 094020.
  • Im, E.-S., S.-C. Kang*, and E.A.B. Eltahir, 2018: Projections of rising heat stress over the western Maritime Continent from dynamically downscaled climate simulations. Global & Planetary Change, 165, 160-172.
  • Im, E.-S.*, and E.A.B. Eltahir, 2018: Simulations of the diurnal variation of rainfall over the western Maritime Continent using a regional climate model. Climate Dynamics, doi 10.1007/s00382-017-3907-3. 51, 73-88.  
  • Im, E.-S.*, and E.A.B. Eltahir, 2018: Simulations of the observed "jump" in the West African monsoon and its underlying dynamics using the MIT Regional Climate Model. International Journal of Climatology, 38, 841-852.
  • Im, E.-S., J. S. Pal, and E.A.B. Eltahir*, 2017: Deadly heat waves projected in the densely-populated agricultural regions of South Asia. Science Advances, 3, e1603322 (Featured on the cover of August issue).
  • Im, E.-S., Y.-W. Choi, and J.-B. Ahn*, 2017: Worsening of heat stress due to global warming in South Korea based on multi-RCM ensemble projections. Journal of Geophysical Research: Atmospheres, 122, 11444-11461, doi 10.1002/2007JD026731.    
  • Im, E.-S., Y.-W. Choi and J.-B. Ahn*, 2017: Robust intensification of hydroclimatic intensity over East Asia from multi-model ensemble regional projections. Theoretical & Applied Climatology, 129, 1241-1254.
  • Alter E. R.*, E.-S. Im*, and E.A.B. Eltahir, 2015: Rainfall consistently enhanced around the Gezira Scheme in East Africa due to irrigation. Nature Geoscience, 8, 763-767. (*These authors contributed equally to this work)
  • Im, E.-S., J.-B. Ahn*, and S.-R. Jo, 2015: Regional climate projection over South Korea simulated by the HadGEM2-AO and WRF model chain under the RCP emission scenarios. Climate Research, 69, 249-266.
  • Im, E.-S.*, and E.A.B. Eltahir, 2014: Enhancement of rainfall and runoff upstream from irrigation location in a climate model of West Africa. Water Resources Research, 50, 8651-8674. 
  • Im, E.-S.*, R.L. Gianotti, and E.A.B. Eltahir, 2014: Improving the simulation of the West Africa Monsoon using the MIT Regional Climate Model. J. Climate, 27, 2209-2229.
  • Im, E.-S.*, M.P. Marcella, and E.A.B. Eltahir, 2014: Impact of potential large-scale irrigation on the West African Monsoon and its dependence on location of irrigated area. J. Climate, 27, 994-1009.