A5079689383- Climate change and permafrost
- Cryospheric studies and observations
- Hydrology and Watershed Management Studies
- Remote Sensing in Agriculture
- Climate variability and models
- Ecology and Conservation Studies
- Plant Water Relations and Carbon Dynamics
- Meteorological Phenomena and Simulations
- Geology and Paleoclimatology Research
- Urban Green Space and Health
- Soil Moisture and Remote Sensing
- Remote Sensing and Land Use
- Climate change impacts on agriculture
- Biocrusts and Microbial Ecology
- Atmospheric and Environmental Gas Dynamics
- Leaf Properties and Growth Measurement
- Climate Change and Health Impacts
- Soil Geostatistics and Mapping
- Tree-ring climate responses
- Plant responses to elevated CO2
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Atmospheric chemistry and aerosols
- Urban Heat Island Mitigation
Korea Institute of Atmospheric Prediction Systems
2021-2024
Seoul National University
2011-2020
Ewha Womans University
2016-2017
Changes in vegetative growing seasons are dominant indicators of the dynamic response ecosystems to climate change. Therefore, knowledge over past decades is essential predict ecosystem changes. In this study, long-term changes temperate vegetation Northern Hemisphere were examined by analyzing satellite-measured normalized difference index and reanalysis temperature during 1982–2008. Results showed that length season (LOS) increased analysis period; however, role at start (SOS) end (EOS)...
ABSTRACT This study investigated the climatic influence on corn sowing date in Midwestern United States by comparing survey data of cultivation with meteorological records nine states for last 36 years (1979–2014). The results show that year‐to‐year changes were significantly affected springtime air temperature and precipitation states, although large state‐to‐state differences found degree date–meteorology relationship. We determined 36‐year climatological warm period ( CWP ) daily mean...
Abstract In the land surface models predicting vegetation growth and decay, representation of seasonality energy mass fluxes largely depends on how to describe dynamics. this study, we developed a new parameterization scheme characterize allocation assimilated carbon plant parts, including leaves fine roots. The amount in climatological net primary production (NPP) plants. newly is implemented augmented Noah model with multiple options (Noah‐MP) along other biophysical processes related...
Through the past 60 years, forests, now of various age classes, have been established in southern part Korean Peninsula through nationwide efforts to reestablish forests since War (1950–53), during which more than 65% nation's forest was destroyed. Careful evaluation long-term changes vegetation growth after reforestation is one essential steps ensuring sustainable management. This study investigated variations phenology using satellite-based growing season estimates for 1982–2008. The start...
Abstract. Snow on land surface plays a vital role in the interaction between and atmosphere state-of-the-art models (LSMs) real world. Since snow cover affects albedo ground soil heat fluxes, it is crucial to detect changes accurately. It challenging acquire observation data for cover, albedo, depth; thus, an excellent alternative use simulation produced by LSMs that calculate snow-related physical processes. The show significant differences complexities of parameterizations terms variables...
Abstract. Snowfall prediction is important in winter and early spring because snowy conditions generate enormous economic damages. However, there a lack of previous studies dealing with snow prediction, especially using land surface models (LSMs). Numerical weather directly interpret the snowfall events, whereas LSMs evaluate cover, albedo, depth through interaction atmospheric conditions. Most include parameters based on empirical relations, resulting uncertainties model solutions. When...
Regional warming, owing to urbanization, leads earlier spring phenological events and may expose plants hard freeze damage. This study examined the influence of urbanization on risk frost damage flowers in South Korea from 1973 2015. For analysis period, we categorized 25 cities into two groups: those showing rapid population growth (rPG) ≥ 200,000, including 13 cities, no or decreased (nPG), 12 cities. We then investigated time last dates (LFDs) first flowering (FFDs) for each group. The...
The Korean Integrated Model (KIM), an operational global numerical weather prediction model at the Korea Meteorological Administration, has been developed during initial phase of Institute Atmospheric Prediction Systems (KIAPS) from 2011 to 2019. During this phase, Noah land surface (LSM) coupled KIM, and states are being generated by a data assimilation (DA) system based on National Aeronautics Space Administration (NASA) Land Information System (LIS). In ongoing second KIAPS 2020 2026,...
Abstract For modern land surface models (LSMs) representing a singular bulk vegetation layer, the longwave optical properties (i.e., emissivity, reflectivity, and transmittivity) of layer are derived with simplified constraint assuming zero leaf reflectivity. This is necessary, for instance, to Beer–Lambert (B–L) law establish relationship between area index. However, leads an overestimation emissivity in vegetated regions. In this study, we introduce new scheme considering realistic...
Abstract. The snowfall prediction is important in winter and early spring because snowy conditions generate enormous economic damages. However, there a lack of previous studies dealing with snow prediction, especially using land surface models (LSMs). Numerical weather directly interpret the events, whereas LSMs evaluate cover fraction, albedo, depth through interaction atmospheric conditions. When initially-developed empirical parameters are local or inadequate, we need to optimize...