Jin-kyu Hong
Yonsei University
About the Lab
Professor Jin-kyu Hong's research lab specializes in land-atmosphere interactions, with a focus on surface energy and carbon fluxes in terrestrial ecosystems. The lab develops advanced data assimilation systems and standardized data processing frameworks—such as KLDAS and KoFlux—to improve the accuracy and consistency of flux measurements across diverse ecosystems. Their work emphasizes long-term monitoring, data quality control, and the integration of in-situ, satellite, and modeling data for better understanding of regional and global carbon and water cycles. The lab also investigates urban climate phenomena, such as the urban heat island effect, particularly in complex urban environments like Seoul.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15KoFlux에서는 현재 사용되고 있는 다양한 자료 처리 방법들을 검토하고 장단점을 파악하여 보다 정확한 자료 처리와 관련 불확실성을 줄일 수 있는 표준화된 자료 처리 프로그램을 제시하였다. 본 연구에서 구축된 표준화된 방법은 좌표 변환과 공기 밀도 보정 후에 튀는 자료를 제거하고, 이산화탄소 플럭스와 증발산량에 대해서 각기 다른 결측 자료 메우기 방법을 적용하였다. 표준화된 방법을 사용할 경우, 기존의 방법을 사용할 때 지적되었던 갑작스런 Re의 증가가 없어졌으며, 결측 자료가 증가하는 경우에도 일관된 결과를 생산하였다. 광릉 활엽수림 자료의 처리에 적용한 결과 확인된 사실을 요약하면 (1) 야간의 호흡과 주간의 광합성량이 균형을 이루는 경우, 선택한 자료 처리 방법에 따라 NEE와 Re가 큰 차이를 보였으나 서로 상쇄되어 GPP는 자료 처리 방법에 상관없이 오차 범위 내에서 결과가 같았고, (2) 토양 증발이 적어 이류 효과가 상대적으로 적은 경우, 총 증발량 또한 자료 처리 방법
Land Data Assimilation Systems have been developed to generate the surface initial conditions such as soil moisture and temperature for better prediction of weather and climate. We have constructed Korea Land Data Assimilation System (KLDAS) based on an uncoupled land surface modeling framework that integrates high-resolution in-situ observation, satellite data, land surface information from the WRF Preprocessing System (WPS) and the MODIS land products over the East Asia. To present better surf
Urban Heat Island (UHI) intensity is one of vital parameters in studying urbanboundary layer meteorology as well as urban planning. Because the UHI intensity is defined asair temperature difference between urban and rural sites, an objective sites selection criterion isnecessary for proper quantification of the spatial variations of the UHI intensity. This studyquantified the UHI intensity and its spatial pattern, and then analyzed their connections withurban structure and metabolism in Seoul me
Surface energy and CO2 fluxes have been measured over a farmland in Haenam, Korea since July 2002.Eddy covariance technique, which is the only direct flux measurement method, was employed toquantitatively understand the interaction betwen the farmland ecosystem and the atmosphericboundary layer. Maintenance of eddy covariance system was the main concern during the earlystage of measurement to minimize gaps and uncertainties in the dataset. Half-hourly averaged CO2concentration showed distinct di
Recently, the flux comunity in Korea established a new regional flux network, so-called KoFlux,which will provide an infrastructure for collecting, synthesizing, and analysing long-termmeasurements of energy and mass exchange between the atmosphere and the various vegetatedsurfaces. KoFlux requires the collection of long time series of raw data, and a large amount of dataare expected to accumulate due to continuous flux observations at each KoFlux sites. Therefore, weneed a systematic and effici
Korean regional network of tower flux sites, KoFlux, has been initiated to better understand CO2, waterand energy exchange between ecosystems and the atmosphere, and to contribute to regional, continental,and global observation networks such as FLUXNET and CEOP. Due to heterogeneous surfacecharacteristics, most of KoFlux towers are located in non-ideal sites. In order to quantify carbon andenergy exchange and to scale them up from plot scales to a region scale, applications of various methodscom
Rice, which occupies about 60% of the farmland in Korea, is a staple crop in Asia. It not only absorbs CO2from the atmosphere, but also emits carbon in a form of CH4. It has a potential role in the global budgetof greenhouse gases because of its relative contributions of carbon absorption and emission associated withchanging hydrologic cycle. To beter understand its current and future role, seasonal variations of energyand CO2 exchange in this critical ecosystem need to be quantified. The purpos
연직으로 여러 높이에서 측정된 기체의 농도는 다양 한 목적에 활용될 수 있다. 예를 들어, 복잡지형에 위 치한 우리나라의 일반적인 산림유역에서 에디공분산 방법에 의한 증발산 및 이산화탄소 순생태 교환량(Net Ecosystem Exchange, NEE)을 관측하기 위해서는 수 평 및 연직 이류(advection)와 저류(storage)항의 효과 를 정량화해야 한다. 그리고 미량 기체의 발원 및 흡 원을 추적하거나 관측의 발자국 분석을 위해서도 필요 하다. 수증기와 이산화탄소의 연직 농도 분포는 일반 적으로 에디공분산 플럭스 타워에 보조 장치로 설치되 는 다중 기체 프로파일 관측시스템(이하 프로파일 시 스템)에 의해 측정된다. 이 시스템은 다른 미기상 관 측기기와는 달리 서로 독립된 여러 기기와 장치들이 하나의 목적을 위해 결합되어 작동되기 때문에 사용방 법과 기기의 운영/유지/보수에 많은 어려움이 따른다. 현재 전세계적으로 플럭스 타워 관측과 함께 이용되고 있는 프로파일 시스템은 대
A valuation of air pollution is critical for relevant policy-making for the public and research direction. This study conducted a willingness-to-pay (WTP) survey using contingent valuation method (CVM) in Seoul Korea. In detail, this study puts an emphasis on its temporal changes referred on two surveys conducted in 2014 and 2019. In reference to the previous studies in 2002, our survey indicated that the public awareness of air pollution and interests on its sources and solutions increased noti
To improve understanding of the physico-chemical characteristics of aerosols in the national park and comparing the air pollution between national park and the urban area nearby national park, the aerosol characterization study was conducted in Bukhansan National Park, Seoul, from July through September 2017. Semi-continuous measurements of PM2.5 using PILS (Particle Into Liquid System) coupled with IC (Ion Chromatography) and TOC (Total Organic Carbon) analyzer allowed quantification of concent
This paper attempted to constrain regional heat fluxes simulated by an atmospheric mesoscale model using the convective boundary layer (CBL) budget method and flux tower data over a mosaic of farmland. In tower footprint scales, the mesoscale model reproduced heat fluxes comparable to the tower measurement. In regional scales, the modeled heat fluxes were consistent with those from the CBL budget method only when the advection inside the CBL was considered. Our analysis showed that the advection
Terrestrial ecosystem plays the important role as carbon sink in the global carboncycle. Understanding of interactions of terrestrial carbon cycle with climate is important forbetter prediction of future climate change. In this paper, terrestrial carbon cycle is investigatedby Hadley Centre Global Environmental Model, version 2, Carbon Cycle (HadGEM2-CC) thatconsiders vegetation dynamics and an interactive carbon cycle with climate. The simulation forfuture projection is based on the three (8.5/
This study is to investigate future changes in carbon cycle using the HadGEM2-Carbon Cycle simulations driven by CO2 emissions. For experiment, global carbon budget isintegrated from the two (8.5/2.6) representative concentration pathways (RCPs) for the periodof 1860~2100 by Hadley Centre Global Environmental Model, version 2, Carbon Cycle (Had-GEM2-CC). From 1985 to 2005, total cumulative CO2 amount of anthropogenic emission prescribedas 156 GtC. The amount matches to the observed estimates (CD
It is crucial to estimate the greenhouse gas emissions accurately to manage the global climate crisis. In this regard the World Meteorological Organization (WMO) recommended its member countries to develop the Integrated Global Greenhouse Gas Information System (IG3IS) as a new approach to estimate greenhouse gas emissions based on atmospheric measurements and numerical weather prediction model. Furthermore, 2019 refinement to the 2006 IPCC guideline for national greenhouse gas inventories inclu
Based on in-situ monitoring data produced by National Institute of Meteorological Sciences, we evaluated the performance of Joint UK Land Environment Simulator (JULES) on the surface energy balance for rice-paddy and cropland in Korea with the operational ancillary data used for Unified Model (UM) Local Data Assimilation and Prediction System (LDAPS) (CTL) and the high-resolution ancillary data from external sources (EXP). For these experiments, we employed the one-year (March 2015~February 2016
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