Producer


Name: Paul Wonsik Kim
Affiliation: Institute for Agro-Environmental Sciences, NARO

Publications:

  1. Doi Y, Y Shin, W Kim, J Choi and T Iizumi (2022): Assessing the subnational-level yield forecast skills of the 2019/20 season NARO-APCC Joint Crop Forecasting Service for Southern Hemisphere countries. Journal of Agricultural Meteorology, 78 66-77. https://doi.org/10.2480/agrmet.D-21-00053
  2. Hendrawan V, W Kim, Y Touge, S Ke, and D Komori (2022): A global-scale relationship between crop yield anomaly and multiscalar drought index based on multiple precipitation data. Environmental Research Letters, 17 014037. https://doi.org/10.1088/1748-9326/ac45b4
  3. Iizumi T, Y Shin, J Choi, M van der Velde, L Nisini, W Kim, and K-H Kim (2021): Evaluating the 2019 NARO-APCC Joint Crop Forecasting Service yield forecasts for Northern Hemisphere countries. Weather and Forecasting, 36:879-891. https://doi.org/10.1175/WAF-D-20-0149.1
  4. Iizumi T, I-E A Ali-Babiker, M Tsubo, I Tahir, Y Kurosaki, W Kim, Y S A Gorafi, A A M Idris, and H Tsujimoto (2021): Rising temperatures and increasing demand challenge wheat supply in Sudan. Nature Food, 2:19–27. https://doi.org/10.1038/s43016-020-00214-4
  5. Iizumi T, Y Takaya, W Kim, T Nakaegawa, and S Maeda (2021): Global within-season yield anomaly prediction for major crops derived using seasonal forecasts of large-scale climate indices and regional temperature and precipitation. Weather and Forecasting, 36:285-299. https://doi.org/10.1175/WAF-D-20-0097.1
  6. Iizumi, T, Z Shen, J Furuya, T Koizumi, G Furuhashi, W Kim, and M Nishimori (2020): Climate change adaptation cost and residual damage to global crop production. Climate Research, 80:203-218. https://doi.org/10.3354/cr01605
  7. Sakai, N, D Komori, M Kon, and W Kim (2020): The impact of a heterogeneous surface on spatiotemporal uncertainties of sensible heat flux. Journal of Water Resource and Protection, 12:171-182. https://doi.org/10.4236/jwarp.2020.123011
  8. Kim, W, H-H Seo, D Komori and J Cho (2020): Characteristics of the relative sampling error and its application to flux aggregation in eddy covariance measurements. Journal of Agricultural Meteorology, 76: 89-95. https://doi.org/10.2480/agrmet.D-19-00033
  9. Kim W, T Iizumi, and M Nishimori (2019): Global patterns of crop production losses associated with droughts from 1983 to 2009. Journal of Applied Meteorology and Climatology, 58:1233-1244. https://doi.org/10.1175/JAMC-D-18-0174.1
  10. Iizumi T, W Kim, and M Nishimori (2019): Modeling the global sowing and harvesting windows of major crops around the year 2000. Journal of Advances in Modeling Earth Systems, 11:99-112. https://doi.org/10.1029/2018MS001477
  11. Iizumi T and W Kim (2019): Recent improvements to global seasonal crop forecasting and related research. In: Iizumi T., Hirata R., Matsuda R. (eds) Adaptation to Climate Change in Agriculture. Springer, Singapore, pp97-110. https://doi.org/10.1007/978-981-13-9235-1_7
  12. Iizumi T, M Kotoku, W Kim, PC West, JS Gerver, and ME Brown (2018): Uncertainties of potentials and recent changes in global yields of major crops resulting from census- and satellite-based yield datasets at multiple resolutions. PLOS ONE. https://doi.org/10.1371/journal.pone.0203809
  13. Iizumi T, Y Shin, W Kim, M Kim, and J Choi (2018): Global crop yield forecasting using seasonal climate information from a multi-model ensemble. Climate Services, 11:13-23. https://doi.org/10.1016/j.cliser.2018.06.003
  14. Oh D, J-H Ryu, S Oh, H-J Jeong, J Park, R-D Jeong, W Kim, and J Cho (2018): Optical sensing for evaluating the severity of disease caused by Cladosporium sp. in Barley under Warmer Conditions. The Plant Pathology Journal, 34:236-240. https://doi.org/10.5423/PPJ.NT.11.2017.0247
  15. Hong S, Y-W Lee, J-H Ryu, J-M Yeom, W Kim, and J Cho (2018): Satellite-based assessment of rapid mega-urban development on agricultural land. Journal of Agricultural Meteorology, 74:87-91. https://doi.org/10.2480/agrmet.D-17-00011
  16. Oh D, J-H Ryu, Y Cho, W Kim, and J Cho (2018): Evaluation of yield and growth responses on paddy rice under the extremely high temperature using temperature gradient field chamber. Korean Journal of Agricultural and Forest Meteorology, 20:135-143. https://doi.org/10.5532/KJAFM.2018.20.1.135
  17. Singta S, A Chidthaisong, D Komori, V Surapioith and W Kim (2018): Estimation of evapotranspiration from sugarcane plantation using eddy covariance method. Journal of Sustainable Energy & Environment 9:1-9 http://jseejournal.com/media/31/attachment/Estimation%20of%20Evapotranspiration%20pp.%201-9.pdf
  18. Iizumi T, J Furuya, Z Shen, W Kim, M Okada, S Fujimori, T Hasegawa, M Nishimori (2017): Responses of crop yield growth to global temperature and socioeconomic changes. Scientific Reports, 7:7800. https://doi.org/10.1038/s41598-017-08214-4
  19. Yonemura S, K Ono, H Ikawa, W Kim, M Mano and A Miyata (2017): Comparison of fallow season CO2 efflux from paddy soil estimated using laboratory incubation with eddy covariance-based flux. Journal of Agricultural Meteorology, 73:140-145. https://doi.org/10.2480/agrmet.D-16-00016
  20. Komori D and W Kim (2016): Impact of dew deposition on water flux dynamics at a tropical rainfed paddy field in the dry season. Journal of Agricultural Meteorology, 72:29-36. https://doi.org/10.2480/agrmet.D-14-00036
  21. Wei Z, K Yoshimura, A Okazaki, K Ono, W Kim, M Yokoi and C-T Lai (2016): Understanding the variability of water isotopologues in near-surface atmospheric moisture over a humid subtropical rice paddy in Tsukuba, Japan. Journal of Hydrology, 533:91-102. https://doi.org/10.1016/j.jhydrol.2015.11.044
  22. Wei Z, K Yoshimura, A Okazaki, W Kim, Z Liu, and M Yokoi (2015): Partitioning of evapotranspiration using high-frequency water vapor isotopic measurement over a rice paddy field. Water Resources Research, 51:3716-3729. https://doi.org/10.1002/2014WR016737
  23. Kim W, A Miyata, A Ashraf, A Maruyama, A Chidthaisong, C Jaikaeo, D Komori, E Ikoma, G Sakurai, H-H Seo, IC Son, J Cho, J Kim, K Ono, K Nusit, KH Moon, M Mano, M Yokozawa, Md A Baten, M Sanwangsri, M Toda, N Chaun, P Polsan, S Yonemura, S-D Kim, S Miyazaki, S Kanae, S Phonkasi, S Kammales, T Takimoto, T Nakai, T Iizumi, V Surapipith, W Sonklin, Y Lee, Y Inoue, Y Kim and T Oki (2015): FluxPro as a realtime monitoring and surveilling system for eddy covariance flux measurement. Journal of Agricultural Meteorology, 71:32-50. https://doi.org/10.2480/agrmet.D-14-00034
  24. Kim W, D Komori, J Cho, S Kanae and T Oki (2014): Long-term analysis of evapotranspiration over diverse land use area in northern Thailand. Hydrological Research Letters, 8:45-50. https://doi.org/10.3178/hrl.8.45
  25. Wei Z, A Okazaki, H Maeda, Y Satoh, M Kiguchi, K Noda, M Koike, W Kim, Z Liu and K Yoshimura (2013): Investigationg vegetation-atmosphere water exchnage by using high grequency spectoscopy vapor isotope observations, Annual Journal of Hydraulic Engineering, 58:181-186. https://doi.org/10.2208/jscejhe.70.I_181
  26. Kiguchi M, S Miyazaki, W Kim, S Kanae, T Oki, J Matsumoto, and T Satomura (2013): The heat flux from the land surface during the pre-monsoon season in the inland region of Thailand, Edited by E Boegh, E Blyth, D M Hannah, H Hisdal, H Kunstmann, B Su & K Yilmaz, Climate and Land-surface Changes in Hydrology, International Association of Hydrological Sciences Publication, 359:239-245. https://iahs.info/uploads/dms/15509.43-239-245-359-42-Kiguchi-IAHS_paper_approved_mkCORR.pdf
  27. Cho J, W Kim, S Miyazaki, D Komori, H Kim, K-S Han, S Kanae, and T Oki (2013): Difference in the Priestley-Taylor coefficients at two different heights of a tall micrometeorological tower. Agricultural and Forest Meteorology, 180:97-101. https://doi.org/10.1016/j.agrformet.2013.05.007
  28. Kim W, J Cho, D Komori, M Aoki, M Yokozawa, S Kanae, and T Oki (2011): Tolerance of eddy covariance flux measurement. Hydrological Research Letters, 5:73-77. https://doi.org/10.3178/hrl.5.73
  29. Cho J, T Oki, Pat J-F Yeh, W Kim, S Kanae, and K Otsuki (2011): On the relationship between the Bowen ratio and the near-surface air temperature. Theoretical and Applied Climatology, 108:135-145. https://doi.org/10.1007/s00704-011-0520-y
  30. Kim W, D Komori, and J Cho (2011): The characteristics of fractional uncertainty on eddy covariance measurement. Journal of Agricultural Meteorology, 67:163-171. https://doi.org/10.2480/agrmet.67.3.10
  31. Cho J, S Miyazaki, Pat J-F Yeh, W Kim, S Kanae, and T Oki (2011): Testing the hypothesis on the relationship between aerodynamic roughness length and albedo using vegetation structure parameters. International Journal of Biometeorology, 56:411-418, https://doi.org/10.1007/s00484-011-0445-2
  32. Watanabe S, D Komori, M Aoki, W Kim, S Boonyawat, P Tongdeenok, S Prakarnrat, and S Baimoung (2011): Estimation of daily solar radiation from sunshine duration in Thailand. Journal of the Meteorological Society of Japan, 89A:355-364. https://doi.org/10.2151/jmsj.2011-A25
  33. Cho J, Pat J-F Yeh, Y-W Lee, H Kim, T Oki, S Kanae, W Kim and K Otsuki (2010): A Study on the Relationship between Atlantic Sea Surface Temperature and Amazonian Greenness. Ecological Informatics, 5:367-378. https://doi.org/10.1016/j.ecoinf.2010.05.005
  34. Cho J, T Oki, Pat J-F Yeh, S Kanae, and W Kim (2010): The effect of estimated PAR uncertainties on the physiological processes of biosphere models. Ecological Modelling, 221:1575-1579. https://doi.org/10.1016/j.ecolmodel.2010.03.009
  35. Polsan P, D Komori, S Patamatamkul, M Aoki and W Kim (2009): Practical estimation of evapotranspiration in rice cultivation in Thailand. Hydrological Research Letters, 3:41-44. https://doi.org/10.3178/hrl.3.41
  36. Kim W, D Komori, and J Cho (2009): The characteristic of relative error in eddy covariance measurements and its application to data quality control in rainfed paddy field, Journal of Agricultural Meteorology, 65:201-207. https://doi.org/10.2480/agrmet.65.2.11
  37. Kim W, J Cho, G Myong, M Mano, D Komori, and S-D Kim (2008): Quality assessment of data from the Daegwallyeong Flux Measurement Station (DFMS) based on short-term experiments, Journal of Agricultural Meteorology, 64:111-120. https://doi.org/10.2480/agrmet.64.3.3
  38. Komori D, M Aoki, W Kim, S Miyazaki, Jaeil Cho, S Boonyawat, P Polson, S Pukngam, P Tongdeenok, S Kanae, T Oki and K Musiake (2008): Seasonal trend of water budget at rain-fed paddy field in Central-Thailand. Advances in Geosciences, https://doi.org/10.1142/9789812836144_0029
  39. Lee GZ, PZ Lee, W Kim and T Oikawa (2005): Development and validation of hourly based Sim-CYCLE Fine in a temperate C3/C4 coexisting grassland, The Korean Journal of Ecology, 28:353-363. https://doi.org/10.5141/JEFB.2005.28.6.353
  40. Kim W, S Kanae, Y Agata and T Oki (2005): Simulation of potential impacts of land use/cover changes on surface water fluxes in the Chaophraya river basin, Thailand, Journal of Geophysical Research, 110:D08110. https://doi.org/10.1029/2004JD004825
  41. Kim W and J Cho (2004): Application of Simple Biosphere Model (SiB2) to Ecological Research. The Korean Journal of Ecology, 27:245-256. https://doi.org/10.5141/JEFB.2004.27.4.245
  42. Komori D, M Aoki, T Ishida, S Suzuki, T Satou, and W Kim (2004): Developing an air sampling system for the true eddy accumulation technique, Journal of Agricultural Meteorology, 60:263-272. https://doi.org/10.2480/agrmet.60.263
  43. Kim W, H Kim, J Kim, Y Agata, S Miyazaki and T Oki (2003): Real time monitoring and simulation system (RTMASS) for Tak flux measurement site, Thailand, Korean Journal of Agricultural and Forest Meteorology, 5:116-127. http://www.koreascience.or.kr/article/ArticleFullRecord.jsp?cn=NRGSBM_2003_v5n2_116
  44. Kim W, T Arai, S Kanae, T Oki and K Musiake (2001): Application of the Simple Biosphere Model (SiB2) to a paddy field for a period of growing season in GAME-Tropics. Journal of the Meteorological Society of Japan, 79:387-400. https://doi.org/10.2151/jmsj.79.387
  45. Kim W, Y Agata, S Kanae, T Oki and K Musiake (2001): Hydrological simulation by SiB2-Paddy in Chao Phraya river basin, Thailand, Edited by H Dolman, J Pomeroy, T Oki & A Hall, Soil-Vegetation-Atmosphere Transfer Schemes and Large-Scale Hydrological Models, International Association of Hydrological Sciences Publication, 270:19-26. https://iahs.info/uploads/dms/iahs_270_019.pdf
  46. Ikoma E, T Arai, W Kim, T Oki and M Kitsuregawa (2000): Development of a workbench for a land surface model and its application to the observed data in a tropical paddy field, Journal of Japan Society of Hydrology and Water Resources, 13:291-303. https://doi.org/10.3178/jjshwr.13.291
  47. Kim W and H Lee (2000): Flux of carbon dioxide and deposition velocity of ozone over Glysin max canopy, The Korean Journal of Ecology, 23:39-43. http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=STHHBE_2000_v23n1_39&ordernum=6
  48. Arai T, W Kim, T Oki and K Musiake (2000): Application of SiB2 to a tropical paddy field and inclusion of water body, Proceedings of Hydraulic Engineering, 44:175-180. https://doi.org/10.2208/prohe.44.175
  49. Kim W, M Aoki, K Horie, T Izuta, T Totsuka and T Shioya (1998): The Ratios of deposition velocities of O3 and NO2 to CO2 in maize and oat fields, Journal of Japan Society for Atmospheric Environment, 33:36-41. https://doi.org/10.11298/taiki1995.33.36
  50. Kim W, M Aoki, T Izuta and T Totsuka (1997): The deposition velocities of CO2 and O3 in wheat field, Journal of Japan Society for Atmospheric Environment, 32:58-63. https://doi.org/10.11298/taiki1995.32.58
  51. Lee H, I Kim, J Bang, Y Chun, J Kang and W Kim (1994): The forest vegetation and estimation of phytomass and net primary production of Changmok-Bay in Koje-Island. Journal of Basic Science, Konkuk Univ., 19:43-78. http://www.papersearch.net/thesis/article.asp?key=2899372&code=CP00000006
  52. Lee H, D Byun, W Kim, J Lee and C Kim (1993): Phytosociological study on the forest vegetation of Mt. Kaya. The Korean Journal of Ecology, 16:287-303. http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=STHHBE_1993_v16n3_287&ordernum=4

Design:

  1. Logo of Numerical Integrated Agro-Environmental Simulator
  2. Logo of FluxPro
  3. Cover of Game Tropics Dataset
  4. Logo of FluxPro Sites
  5. Logo of Korean Flux Network
  6. Cover of Journal of Japan Society for Atmospheric Environment
  7. Cover of Journal of Agricultural Meteorology