PEER-REVIEWED JOURNAL ARTICLES
1.
Lee, S., Kim, D., 2025. A comparative assessment of a hybrid approach against conventional and machine-learning daily streamflow prediction in ungauged basins. Journal of Hydrology, under review.
2.
Im, S., Kim, D., Jun, C, 2025. Minimal impact of parameter estimation methods on drought identification using the complementary evaporation principle. Journal of Hydrometeorology, In press.
3.
Kim, D., Choi, M., Kang, M., 2025. Testing new potential evaporation formulations for identifying soil moisture deficiency in agricultural areas under global warming. Journal of Hydrology, 661, 133760.
4.
Kim, D., Choi, S. J., 2025. A univariate Climate Response Function approach for evaluating structural adaptive strategies in the Dongjin River Basin. Journal of Korea Water Resources Association, 58, 287-299.
5.
Kim, J., Han, Y. M., Seo, S. B., Kim, D., Kim, T.-W., 2024. Evaluation of hydrologic risk of drought in Boryeong according to climate change scenarios using scenario-neutral approach, Journal of Korea Water Resources Association, 57, 225-236.
7.
Kim, D., Kim, E., Kim, E., 2023. Performance of decision-tree-based ensemble classifiers in predicting fog frequency in ungauged areas, Weather and Forecasting, 38, 2379-2393.
9.
Park, S., Chun, J. A., Kim, D., Sitthikone, M., 2022. Climate Risk Management for the Rainfed Rice Yield in Lao PDR using APCC MME Seasonal Forecasts, Agricultural Water Management, In press.
10.
Kim, D., and Chun, J A. 2021. Revisiting a two-parameter Budyko equation with the complementary evaporation principle for proper consideration of surface energy balance Water Resources Research, 57, e2021WR030838.
11.
Chun, J. A., Kim, D., Lim, Y., Lee., E.-J., Lee, H., Kim, C.-G., and Inthavong, T., 2021. Smallholder farmers’ preference for climate change adaptation for lowland rain-fed rice production in Lao PDR. Journal of Agricultural Meteorology, 77, 235-244.
12.
Kim, D., Chun, J A., Inthavong, T., 2021. Managing climate risks in a nutrient-deficient paddy rice field using seasonal climate forecasts and AquaCrop. Agricultural water management, 256, 107073.
13.
Ha, K.-J., Moon, S., Tmimermann, A., and Kim, D., 2020. Future changes of summer monsoon characteristics and evaporative demand over Asia in CMIP6 simulations. Geophysical Research Letters, 47, e2020GL087492.
14.
Andini, N., Kim, D., and Chun, J. A., 2020. Operational soil moisture modeling in the Java Island using a multi-stage approach based on the generalized complementary principle. Agricultural Water Management, 231, 106026.
15.
Kyatengerwa, C., Kim, D., and Choi, M., 2020. A national-scale drought assessment in Uganda based on evapotranspiration deficits from the Bouchet hypothesis. Journal of Hydrology, 580, 124348.
16.
Kim, D., Lee, W.-S., Kim, S. T., and Chun, J. A., 2019. Historical drought assessment over the contiguous United States using the generalized complementary relationship of evapotranspiration. Water Resources Research, 55, 6244-6267.
17.
Kim, D., Chun, J. A., and Ko, J., 2019. A hybrid approach combining the FAO-56 method and the complementary principle for predicting daily evapotranspiration on a rainfed crop field. Journal of Hydrology, 577, 123941.
18.
Kim, D., Chun, J. A., and Kim, S. T., 2019. Overcoming the challenges of an uncertain future with enhanced climate information and services. Bulletin of the American Meteorological Society, 100, ES133-ES136.
19.
Chun, J. A., and Kim, D., 2019. A drought assessment using the generalized complementary principle of evapotranspiration. Journal of Korea Water Resources Association, 52, 325-335.
20.
Kim, D., Eum, H.-I., Kaluarachchi, J. J., and Chun, J. A., 2019. A sensitivity-based analysis for managing storage capacity of a small agricultural reservoir under drying climate. Agricultural Water Management, 213, 410-418.
21.
Kim, D., Chun, J. A., and Choi, S.-J., 2019. Incorporating the logistic regression into a decision-centric assessment of climate change impacts on a complex river system. Hydrology and Earth System Sciences, 23, 1145-1162.
22.
Kim, D., Chun, J. A., and Aikins, C. M., 2018. An hourly-scale scenario-neutral flood risk assessment in a mesoscale catchment under climate change. Hydrological Processes, 32, 3416-3430.
23.
Chun, J. A., Baik, J., Kim, D., and Choi, M., 2018. A comparative assessment of SWAT-model-based evapotranspiration against regional scale estimates. Ecological Engineering, 122, 1-9.
24.
Chun, J. A., Lim. C., Kim, D., and Kim, J. S., 2018. Assessing impacts of climate change and sea-level rise on seawater intrusion in a coastal aquifer. Water, 10, 357, doi:10.3390/w10040357.
25.
Kim, D., and Jang, S., 2017. A stochastic flood analysis using weather forecasts and a simple catchment dynamics. Journal of Korea Water Resources Association, 50, 735-743.
26.
Kim, D., Jung, I, and Chun, J. A., 2017. A comparative assessment of rainfall-runoff modelling against regional flow duration curves for ungauged catchments. Hydrology and Earth System Sciences, 21, 5647-5661.
27.
Moursi, H., Kim, D., and Kaluarachchi, J. J., 2017. A probabilistic assessment of agricultural water scarcity in a semi-arid and snowfall-dominated river basin under climate change. Agricultural Water Management, 193, 142-152.
28.
Chun, J. A., Kang, K., Kim, D., Han, H.-H., and Son, I.-C., 2017. Prediction of full blooming dates of fruit tree (Prunus persica) using temperature-based models, Scientia Horticulturae, 220, 250-258.
29.
Kim, D., and Rhee, J., 2016. A drought index based on actual evapotranspiration from the Bouchet hypothesis, Geophysical Research Letters, 43, 10277-10285.
30.
Kim, D., Yoon, S.-K., Kang, M. S., and Lee, K., 2016. Applicability of a multiplicative random cascade model for disaggregation of forecasted rainfalls. Journal of the Korean Society of Agricultural Engineering, 58, 89-97.
31.
Kim, D., and Kaluarachchi, J. J., 2016. A risk-based hydro-economic analysis for land and water management in water deficit and salinity affected farming regions. Agricultural Water Management, 166, 111-122.
32.
Kim, D., and Kaluarachchi, J. J., 2015. Validating FAO AquaCrop model using Landsat images and regional crop information. Agricultural Water Management, 149, 143-155.
33.
Kim, D., and Kaluarachchi, J. J., 2014. Predicting streamflows in snowmelt-driven watersheds using the flow duration curve method. Hydrology and Earth System Sciences, 18, 1679-1693.
34.
Kim, D., Yoo, C., and Kim, T., 2011. Application of spatial EOF and multivariate time series model for evaluating agricultural drought vulnerability in Korea. Advances in Water Resources, 34, 340-350.
35.
Yoo, C., Kim, D., Kim, T., and Hwang, K., 2008. Quantification of drought using a rectangular pulses Poisson process model. Journal of Hydrology, 355, 34-48.
36.
Yoo, C., Kim, D., Park, S., Kim, B., and Park, C., 2007. Intervention analysis of urbanization effect on rainfall data at the Seoul rain gauge station. Journal of Korea Water Resources Association, 40, 629-641.
37.
Kim, D., Yoo, C., and Kim, H., 2007. Evaluation of major storm events both measured by Chukwooki and recorded in Annals of Chosun Dynasty: 2. Quantitative Approach. Journal of Korea Water Resources Association, 40, 545-554.
38.
Yoo, C., Kim, D., and Kim, H., 2007. Evaluation of major storm events both measured by Chukwooki and recorded in Annals of Chosen Dynasty: 1. Qualitative Approach. Journal of Korea Water Resources Association, 40, 533-543.
39.
Kim, D., and Yoo, C., 2006. Analysis of spatial distribution of droughts in Korea through drought severity-duration-frequency analysis. Journal of Korea Water Resources Association, 39, 745-754.
40.
Yoo, C., Kim, D., and Kim, S., 2006. Evaluation of agricultural drought prevention ability based on EOF analysis and multivariate time series model. Journal of Korea Water Resources Association, 39, 617-626.
41.
Yoo, C., and Kim, D., 2006. Evaluation of drought events using the rectangular pulses Poisson process model. Journal of Korea Water Resources Association, 39, 373-382.