2023
1. Kim, K., C. D. Hewitt, H. Kanamaru, J. Alvar-Beltrán, A. Heureux, S. Park, M. Jung, and R. Stefanski, 2023. Prospects for Enhancing Climate Services in Agriculture. Bull. Amer. Meteor. Soc., 104, E352–E358, https://doi.org/10.1175/BAMS-D-22-0123.1.
2. Shin, S., H. Ryu, J.-Y. Jung, Y.-J. Yoon, G. Kwon, N. Lee, N. H. Kim, R. Lee, J. Oh, M. Baek, Y. S. Choi, J. Lee, and K.-H. Kim. 2023. Past and Future Epidemiological Perspectives and Integrated Management of Rice Bakanae in Korea. Plant Pathol J 39 (1):1-20.
2022
1. Jung, J.Y., Kim, J.H., Baek, M., Cho, C., Cho, J., Kim, J., Pavan, W. and Kim, K.H., 2022. Adapting to the projected epidemics of Fusarium head blight of wheat in Korea under climate change scenarios. Frontiers in Plant Science, 13:1040752. (https://doi.org/10.3389/fpls.2022.1040752)
2. Lee, K.T., Han, J. and Kim, K.H., 2022. Optimizing Artificial Neural Network-Based Models to Predict Rice Blast Epidemics in Korea. The plant pathology journal, 38(4):395-402. (https://doi.org/10.5423/PPJ.NT.04.2022.0062)
3. Kim, K.H., Petri, M., Inthipunya, K., Manivong, V., Han, J., Park, J., Palao, L.K., Phouthanoxay, S., Keomanivong, S., Silattana, S. and Chanthavong, V., 2022. Information and communication technology-based service platform enabling the co-creation of agrometeorological services: A case study of the Laos Climate Services for Agriculture. Climate Services, 27:100316. (https://doi.org/10.1016/j.cliser.2022.100316)
4. Lee, K.T., Jeon, H.W., Park, S.Y., Cho, J. and Kim, K.H., 2022. Comparison of projected rice blast epidemics in the Korean Peninsula between the CMIP5 and CMIP6 scenarios. Climatic change, 173(1):1-20. (https://doi.org/10.1007/s10584-022-03410-2)
5. Han, J., Jang, I., Kang, D., Baek, M., Kanamaru, H.* and Kim, K.H.*, 2022. A Collective Vision for Agriculture Climate Services in the Asia–Pacific Region. Bulletin of the American Meteorological Society, 103(7):E1637-E1643. (https://doi.org/10.1175/BAMS-D-22-0100.1) (*Co-corresponding Authors)
6. Song, S., Chung, H., Kim, K.H. and Kim, K.T., 2022. Analysis of Rice Blast Outbreaks in Korea through Text Mining. Res. Plant Dis. 28(3):113-121.
2021
1. Kim, K.-H., Doi, Y., Ramankutty, N., and Iizumi, T., 2021. A review of global gridded cropping system data products. Environ. Res. Lett. 16:093005.
2. Iizumi, T., Shin, Y., Choi, J., van der Velde, M., Nisini, L., Kim, W. and Kim, K.-H., 2021. Evaluating the 2019 NARO-APCC Joint Crop Forecasting Service yield forecasts for Northern Hemisphere countries. Weather and Forecasting, 36(3):879-891.
2020
1. Kim, K.-H.* and Lee, J., 2020. Smart plant disease management using agrometeorological big data. Res. Plant Dis. 26(3):1-13.
2. Park, J.S., Kim, D.-K., Kim, C.S., Oh, S., Kim, K.-H.* & Oh, S.-O.*, 2020. The first finding of the lichen Solorina saccata at an algific talus slope in Korea. Mycobiol. 48(4):276-287.
3. Kim, K.-H.* and Jung, I., 2020. Development of a daily epidemiological model of rice blast tailored for seasonal disease early warning in South Korea. Plant Pathol. J. 36(5):406-417.
4. Kim, K.-H.* and Choi, E.D., 2020. Retrospective study on the seasonal forecast-based disease intervention of the wheat blast outbreaks in Bangladesh. Front. Plant Sci. 11:570381.
2019
1. Kim, G.H., Koh, Y.J., and Kim, K.-H.*, 2019. Agrometeorological Analysis on the Freeze Damage Occurrence of Yuzu Trees in Goheung, Jeonnam Province in 2018. Res. Plant Dis. 25(2): 71-78.
2. Kim, K.-H. and Cho, J., 2019. Development of gap filling technique for statistical downscaling of climate change scenario data. Journal of Climate Change Research. 10(4): 333-341.
3. Islam, M. T., Kim, K.-H., and Choi, J., 2019. Wheat blast in Bangladesh: The current situation and future impacts. Plant Pathol. J. 35(1):1-10.
4. Kim, K.-H., Raymundo, A.D., and Aikins, C.M., 2019. Development of a rice tungro epidemiological model for seasonal disease risk management in the Philippines. Eur. J. Agron. 109:125911.
5. Kim, K.-H. and Koh, Y.J., 2019. An integrated modeling approach for predicting potential epidemics of bacterial blossom blight in kiwifruit under climate change. Plant Pathol. J. 35(5):1-14.
6. Kim, K.-H., 2019. Establishment of climate services for agriculture in the Pacific Island countries: the Tonga agromet project as a case study. Climate Services 100124.
7. Kim, K.-H., Shin, Y, Lee, S, and Jung, D. 2019. Use of seasonal climate forecasts in agricultural decision-making for crop disease management. In: Iizumi, T., Hirata, R., and Matsuda, R. editors, Adaptation to Climate Change in Agriculture: Research and Practices, Springer.
~ 2018
1. Lee, S. and Kim, K.-H.*, 2018. Predicting potential epidemics of rice leaf blast disease using climate scenarios from the best global climate model selected for individual agro-climatic zones in Korea. Journal of Climate Change Research. 9(2):133-142.
2. Lee, E.J., Kim, M. and Kim, K.-H.*, 2018. Connecting ENSO‐related climatic variations with a long‐term crop supply data to enhance agro‐meteorological capability of Tongan stakeholders. Int. J. Climatol. 38(S1): e18-e27.
3. Kim, K.-H., Son, K.I. and Koh, Y.J., 2018. Adaptation of the New Zealand ‘Psa Risk Model’ for forecasting kiwifruit bacterial canker in Korea. Plant Pathology. 67(5):1208-1219.
4. Jeong, Y.M., Chung, U. and Kim, K.-H.*, 2018. Predicting future frost damage risk of kiwifruit in Korea under climate change using an integrated modeling approach. Int. J. Climatol. 38(14):5354-5367.
5. Han, E., Ines, A.V.M., Kim, K.-H., and Cousin, R. 2017. Decision support tools for climate risk management in agriculture. In: Agnes, C.R. Elena, B.De L.S., Francis, J.F.F., and Chrislyn J.P.F. editors, Building Resilience of Farming Communities: Science, Technology and Governance Innovations in Bicol, Philippines. UPLBFI College Press.
6. Kim, K.-H., Jeong, Y.M., Cho, Y.-S., and Chung, U., 2016. Preliminary result of uncertainty on variation of flowering date of kiwifruit: Case study of kiwifruit growing area of Jeollanam-do. Korean J. Agric. For. Meteor. 18:42-54.
7. Kim, K.-H., Cho, J., and Lee, Y.H., 2016. Forecasting brown planthopper infestation in Korea using statistical models based on climatic tele-connections. Korean J. Appl. Entomol. 55(2):139-148.
8. Son, K.I., Kim, G.H., Choi, E.D., Kim, K.-H., Lee, Y.S., Jung, J.S., and Koh, Y.J., 2016. Seasonal prevalence of bacterial canker of kiwifruit in Boseong in 2014 and 2015. Res. Plant Dis. 22(4): 217-226.
9. Kim, K.-H. and Cho, J., 2016. Predicting potential epidemics of rice diseases in Korea using multi-model ensembles for assessment of climate change impacts with uncertainty information. Clim. Chang. 134:327-339.
10. Kim, G.H.ª, Kim, K.-H.ª, Son, K.I., Choi, E.D., Lee, Y.S., Jung, J.S., and Koh, Y.J., 2016. Outbreak and Spread of Bacterial Canker of Kiwifruit Caused by Pseudomonas syringae pv. actinidiae Biovar 3 in Korea. Plant Pathol. J. 32(6):545-551. (ª equally contributed)
11. Chung, U., Kim, J.H. and Kim, K.-H.*, 2016. Variation and uncertainty in the predicted flowering dates of cherry blossoms using the CMIP5 climate change scenario. Asia-Pac. J. Atmos. Sci. 52(5):509-518.
12. Kim, K.-H. and Koh, Y.J., 2015. Development of a Maryblyt-based forecasting model for kiwifruit bacterial blossom blight. Res. Plant Dis. 21:67-73.
13. Kim, K.-H., Cho, J., Lee, Y.H., Lee, W.-S., 2015. Predicting potential epidemics of rice leaf blast and sheath blight in South Korea under the RCP 4.5 and RCP 8.5 climate change scenarios using a rice disease epidemiology model, EPIRICE. Agric. For. Meteor. 203:191-207.
14. Kim, K.-H., Kim, G.H., Son, K.I., and Koh, Y.J., 2015. Outbreaks of yuzu dieback in Goheung area: possible causes deduced from weather extremes. Plant Pathol. J. 31:290-298.
15. Wight, W.ª, Kim, K.-H.ª, Lawrence, C.B., and Walton, J.D., 2009. Biosynthesis and role in virulence of the histone deacetylase inhibitor depudecin from Alternaria brassicicola. Mol. Plant-Microbe Interact. 22:1258-1267. (ª equally contributed)
16. Kim, K.-H., Willger, S.D, Park, S.-H., Puttikamonkul, S., Grahl, N., Cho, Y., Mukhopadhyay, B., Cramer, R.A., and Lawrence, C.B., 2009. TmpL, a transmembrane protein is required for intracellular redox homeostasis and virulence in a plant and an animal fungal pathogen. PLoS Pathog. 5(11): e1000653.
17. Cho, Y., Kim, K.-H., La Rota, M., Scott, D., Santopietro, G., Callihan, M., Mitchell, T.K., and Lawrence, C.B., 2009. Identification of novel virulence factors associated with signal transduction pathways in Alternaria brassicicola. Mol. Microbiol. 72(6):1316-1333.
18. Willger, S.D., Puttikanonkul, S., Kim, K.-H., Burritt, J.B., Grahl, N., Metzler, L.J., Barbuch, R., Bard, M., Lawrence, C.B., and Cramer, R.A., 2008. A sterol-regulatory element binding protein is required for cell polarity, hypoxia adaptation, azole drug resistance, and virulence in Aspergillus fumigatus. PLoS Pathog. 4(11):e1000200.
19. Lawrence, C.B., Mitchell, T.K., Craven, K.D., Cho, Y., Cramer, R.A., and Kim, K.-H., 2008. At death’s door: Alternaria pathogenicity mechanisms. Plant Pathol. J. 24(2):101-111.
20. Kim, K.-H., Cho, Y., La Rota, M., Cramer, R.A., and Lawrence, C.B., 2007. Functional analysis of the Alternaria brassicicola non-ribosomal peptide synthetase gene AbNPS2 reveals a role in conidial cell wall construction. Mol. Plant Pathol. 8(1):23-39.
21. Cho, Y., Cramer, R.A., Kim, K.-H., Davis, J.W., Mitchell, T.K., Figuli, P., Pryor, B.M., Lemasters, E., and Lawrence, C.B., 2007. The Fus3/Kss1 MAP kinasehomolog Amk1 regulates the expression of genes encoding hydrolytic enzymes in the fungus Alternaria brassicicola. Fungal Genet. Biol. 44(6):543-553.
22. Cho, Y., Davis, J.W., Kim, K.-H., Wang J., Sun, Q.-H., Cramer, R.A., and Lawrence, C.B., 2006. A high throughput targeted gene disruption method for Alternaria brassicicola functional genomics using linear minimal element (LME) constructs. Mol. Plant-Microbe Interact. 19:7-15.
23. Kim, K.-H., Yoon, J.B., Park, H.-G., Park, E.W., and Kim, Y.H., 2004. Structural modification and programmed cell death of chili pepper fruit related to resistance responses against Colletotrichum gloeosporioides. Phytopathol. 94:1295-1304.
24. Kim, Y. H., and Kim, K.-H., 2002. Abscission layer formation as a resistance response of Peruvian apple cactus against Glomerella cingulata. Phytopathol. 92:964-969.
