Search Results for: mo j

Data-driven ENZYme (DENZY) model represents soil organic carbon dynamics in forests impacted by nitrogen deposition

Soil microorganisms participate in almost all soil organic carbon (SOC) transformations, but they are not represented explicitly in the current generation of earth system models. This study used a data-driven approach to incorporate extracellular enzyme activity into the Terrestrial ECOsystem (TECO) model, and the updated version was named the Data-driven […]

Luo C model course 2019

Carbon cycle modeling taught by Ecoss

Much of what we know about where carbon will be on the globe in 12, 25 or 100 years is due to innovative predictive modeling tools like the ones researcher Yiqi Luo develops at Northern Arizona University’s Center for Ecosystem Science and Society (Ecoss). The short course taught by Luo […]

Integrating camera imagery, crowdsourcing, and deep learning to improve high-frequency automated monitoring of snow at continental-to-global scales

Snow is important for local to global climate and surface hydrology, but spatial and temporal heterogeneity in the extent of snow cover make accurate, fine-scale mapping and monitoring of snow an enormous challenge. We took 184,453 daily near-surface images acquired by 133 automated cameras and processed them using crowdsourcing and […]