This presentation will summarize results of two studies that combined long term field observation data with simulation and geospatial models to study the role of conservation agriculture to mitigate land use change emissions.
Aerosol radiative properties depend on the size and chemical composition of individual particles, but particle-level characteristics are not fully resolved in global-scale models. This talk will describe two different particle-based methods for advancing aerosol representations in large-scale models.
Incomplete knowledge of both greenhouse gas (GHG) sources and sinks, and atmospheric transport of these gases limits our ability to use atmospheric observations to infer surface fluxes. For instance, detailed understanding of the impact of frontal systems on the spatiotemporal variability of GHGs on regional scales is needed for the evaluation of transport models and for improving knowledge of GHG sources and sinks. This seminar will report on the frontal gradient features in GHGs based on 12 selected research flights.
Physics-based mathematical-computational models provide an invaluable tool for repository design, performance/safety assessments, site clean-up, and environmental remediation in nuclear spent fuel and high level waste disposal in shallow or deep geological media. The migration of nuclear wastes is controlled by coupled THMC (Thermal-Hydrology-Mechanics-Chemical) processes. This talk presents the development of a series of computational models that fully or partially couple these processes.
Aerosol-climate interactions are the leading uncertainty in understanding anthropogenic climate forcing, and aerosol particles negatively impact human and ecosystem health. Ground- and satellite-based remote sensing measurements are used to quantify the spatiotemporal coherence of mean and extreme aerosol properties, and identify the drivers of the observed aerosol variability.
In this talk, Frank Giraldo will describe the GNuMe framework that he has been using to develop and test geophysical fluid dynamics models. GNuMe is, in essence, a modeling environment that contains local element-based numerical discretization methods (spectral elements and discontinuous Galerkin methods), as well as a suite of time-integrators (explicit, fully-implicit, and implicit-explicit methods).
Using examples of compounds of anthropogenic and biological origin, Dr. Kos will demonstrate how organics, heavy metals and SVOCs can be assessed using mass spectrometric, spectroscopic and modeling techniques to study local effects, global transport, and health impacts.