Aerosols are sometimes referred to as the most confounding cog in the climate system when it comes to prognosticating the future of the Earth's climate. Their interaction with clouds makes the problem truly wicked. Here we look at a very small sub-set of the issue – that of the effect of absorbing aerosol above cloud, a persistent feature over the southeastern Atlantic Ocean off the west coast of Africa.
This presentation will demonstrate digital methods to map soil properties such as plant available water, organic carbon content, texture, and depth of soil to name a few. Currently, the process is being utilized to map the entire nations of El Salvador, Honduras, Nicaragua and Guatemala. The process of providing predictions of spatially heterogeneous soil properties can be used both internationally and domestically for multiple implications.
This presentation will provide an overview of storm surge modeling followed by results for the 2017 Atlantic hurricane season. This talk will also present results of an impact assessment of climate change on coastal hazards in the Northwest Pacific Ocean, based on ensemble atmospheric downscaling experiments for Haiyan-like super storms in the Philippines.
Society is demanding more sustainable bioenergy and agricultural systems, but farmers who could provide both do not have sufficient information to confidently change from the status quo. This seminar will present results of novel modelling assessments that indicate the agriculturally dominate state of Iowa, USA, could achieve nearly half of state water quality improvement targets simply by converting highly unprofitable parts of corn/soybean fields to switchgrass (Panicum virgatum L.) using a precision conservation approach.
The adjoint of a numerical weather prediction model, computed as the transpose of the tangent linear approximation to the fully nonlinear model, computes the sensitivity of some aspect of the final forecast state to changes to the model state at earlier times. The adjoint is best known as an integral part of 4-dimensional variational data assimilation (4DVAR).
Satellite observations of cloudy hurricane canopies have shown a universal, daily, wave-like feature that propagates radially outward, as far as 600 km. Daytime solar heating of a hurricane's upper eyewall is surely responsible, but the mechanism for the wave was previously unknown. This seminar will discuss numerical experiments that suggest these waves are internal inertia-gravity waves, and in fact propagate through (almost!) the entire depth of the hurricane.
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.