Minha Choi
성균관대학교 · Environmental Science
Minha Choi 교수의 연구실은 토양_moisture의 공간적 변동성과 수문-대기 상호작용을 중심으로, 원격 감지 및 수문 모델링을 활용한 수자원 관리 및 기후 변화 영향 평가를 연구합니다. 주로 농업 및 강수권 기반 수자원 시스템에서의 실제 증발산과 뿌리권 토양수분의 시공간적 추세를 정량적으로 분석하며, 다양한 규모(장소, 유역, 기후대)에서의 수문적 변수 예측 정확도 향상에 기여하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
This study identifies soil moisture spatial variability patterns using measurements across different extents (i.e., field, watershed, and basin) and depths (i.e., from surface to root zone profile) from 18 different soil moisture field experiments. The spatial variability patterns are well represented by negative exponential functions between the mean and the coefficient of variation of soil moisture. Principal component analysis demonstrates that rainfall and topography explain surface soil moi
Clear sky downwelling longwave radiation (R ldc ) and cloudy sky downwelling longwave radiation (R ld ) formulas were tested across eleven sites in Florida. The Brunt equation, using air vapor pressure and temperature measurements, provides the best R ldc estimates with a root mean square error of less than around 12 Wm −2 across all sites. The Crawford and Duchon's cloudiness factor with Brunt equation is recommended for R ld calculations. This combined approach requires no local calibration an
Abstract Root zone soil moisture (RZSM) is a crucial variable in land‐atmosphere interactions. Evaluating the spatiotemporal trends and variability patterns of RZSM are essential for discerning the anthropogenic and climate change effects on the regional and global hydrological cycles. In this study, the trends of RZSM, computed by the exponential filter from the European Space Agency's Climate Change Initiative soil moisture, were evaluated in major climate regions of East Asia from 1982 to 201
