서울대학교 · Environmental Science
Youngryel Ryu 교수의 연구실은 원격 감지와 지구시스템 모델링을 기반으로 탄소, 수분, 에너지 순환을 종합적으로 해석하는 데 중점을 두고 있습니다. 특히, 위성 데이터를 활용한 광합성, 증발산, 생물지구화학 순환의 고해상도 및 고주기 모니터링 기술을 개발하며, 다양한 생태계(초원, 사바나, 숲 등)에서의 수분과 탄소 순환 메커니즘을 과학적으로 규명하고자 합니다. BESS(Breathing Earth System Simulator)와 같은 과정 기반 모델링 기반의 통합 분석을 통해 기후 변화에 대한 예측 정확도를 높이는 데 기여하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
We propose the Breathing Earth System Simulator (BESS), an upscaling approach to quantify global gross primary productivity and evapotranspiration using MODIS with a spatial resolution of 1-5 km and a temporal resolution of 8 days. This effort is novel because it is the first system that harmonizes and utilizes MODIS Atmosphere and Land products on the same projection and spatial resolution over the global land. This enabled us to use the MODIS Atmosphere products to calculate atmospheric radiat
Understanding the long-term performance of global satellite leaf area index (LAI) products is important for global change research. However, few effort has been devoted to evaluating the long-term time-series consistencies of LAI products. This study compared four long-term LAI products (GLASS, GLOBMAP, LAI3g, and TCDR) in terms of trends, interannual variabilities, and uncertainty variations from 1982 through 2011. This study also used four ancillary LAI products (GEOV1, MERIS, MODIS C5, and MO
We report on the interannual variability of evapotranspiration ( E ) and energy exchange of an annual grassland in the Mediterranean climate zone of California. They were measured directly with the eddy covariance technique over a 6‐year period that spanned between July 2001 and June 2007 and experienced a large range in precipitation (376 mm to 888 mm). Despite a two‐fold range in precipitation, annual E ranged much less, between 266 mm and 391 mm. We found that pronounced energy‐limited and wa
Sun-induced chlorophyll fluorescence (SIF) is a promising new tool for remotely estimating photosynthesis. However, the degree to which incoming solar radiation and the structure of the canopy rather than leaf physiology contribute to SIF variations is still not well characterized. Therefore, we investigated relationships between SIF and variables that at least partly capture the canopy structure component of SIF. For this, we relied on high-quality SIF observations from ground-based instruments