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Yeonuk Kim
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Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis
Y Kim, MS Johnson, SH Knox, TA Black, HJ Dalmagro, M Kang, J Kim, ...
Global Change Biology 26 (3), 1499-1518, 2020
1172020
Interannual variations in methane emission from an irrigated rice paddy caused by rainfalls during the aeration period
Y Kim, MSA Talucder, M Kang, KM Shim, N Kang, J Kim
Agriculture, Ecosystems & Environment 223, 67-75, 2016
392016
Relative humidity gradients as a key constraint on terrestrial water and energy fluxes
Y Kim, M Garcia, L Morillas, U Weber, TA Black, MS Johnson
Hydrology and Earth System Sciences 25 (9), 5175-5191, 2021
72021
Estimation and mapping of methane emission from rice paddies in Gyunggi-do using the modified water management scaling factor
SW Choi, H Kim, Y Kim, M Kang, J Kim
Korean Journal of Agricultural and Forest Meteorology 18 (4), 320-326, 2016
6*2016
Land‐atmosphere coupling constrains increases to potential evaporation in a warming climate: Implications at local and global scales
Y Kim, M Garcia, MS Johnson
Earth's Future 11 (2), e2022EF002886, 2023
42023
Assessing the complementary role of surface flux equilibrium (SFE) theory and maximum entropy production (MEP) principle in the estimation of actual evapotranspiration
Y Kim, M Garcia, TA Black, MS Johnson
Journal of Advances in Modeling Earth Systems 15 (7), e2022MS003224, 2023
12023
CH4 flux gap-filling approaches for eddy covariance data: a comparison of three machine learning algorithms and marginal distribution sampling method with and without principal …
Y Kim, M Johnson, S Knox, A Black, H Dalmagro, M Kang, J Kim, Y Ryu, ...
Geophysical Research Abstracts 21, 2019
12019
Changes in atmospheric state reveal long-term changes in evapotranspiration
Y Kim, MS Johnson
AGU23, 2023
2023
Interactions between the land surface and the near-surface atmosphere: implications for evaporative demand and evapotranspiration under a changing climate
Y Kim
University of British Columbia, 2022
2022
Spectral entropy as a mean to quantify water stress history for natural vegetation and irrigated agriculture in a water-stressed tropical environment
Y Kim, M Johnson
AGU Fall Meeting Abstracts, 2017, 2017
2017
Carbon and water fluxes and footprints in tropical agricultural systems under rainfed and irrigated conditions
MS Johnson, MJ Lathuilliere, L Morillas, HJ Dalmagro, B D'Acunha, Y Kim, ...
AGU Fall Meeting Abstracts 2017, B51J-03, 2017
2017
Carbon footprint estimation using long-term flux measurement in Haenam, Korea: Implication for climate-smart agriculture
SW Choi, Y Kim, YM Indrawati, H Kim, M Kang, J Kim
EcoSummit 2016, 2016
2016
중간낙수기간의 강우 발생에 따른 논에서의 메탄 배출량의 변화
Y Kim, MSA Talucder, M Kang, KM Shim, N Kang, J Kim
The 2015 Korean Meteorological Society Fall Conference, 423-425, 2015
2015
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Articles 1–13