The C-band dual Polarization Radar (CPOL) collected 17 seasons of full volume scans documenting the macro, microphysical and kinematic properties of precipitating systems over Darwin, Australia where the Madden Julian Oscillation and the Northern Australian Monsoon occur. From this dataset, echo top heights (ETHs) and the diurnal cycle of precipitation, key diagnostics of model performance, from the CPOL dataset are examined in order to provide an observational target for global circulation models.
In this research, one of the most commonly used fire indices (Keetch-Byram Drought Index, KBDI) was calculated to establish a scientific approach to assessing future potential fire activity under climate change. First, the KBDI for the contiguous United States was calculated using high resolution (4-km), high quality observation data (Parameter elevation Regression on Independent Slopes Model, PRISM) for the last 40 years (1978-2017).
Dr. Bajgain's research focuses on use of various tools and methods such as field observations (eddy covariance and automated chamber), remote sensing data, and process-based, light use efficiency and statistical models to quantify biophysical and biogeochemical feedbacks of ecosystems to climate and management variability.
Soil salinization is a global problem affecting 10% of agricultural soils, particularly in arid-lands. This study investigated calcite (CaCO3) loading by flood-irrigation in the arid southwest of the United States and its effect on C-cycling. To evaluate the impact of flood-irrigation on CaCO3 buildup, a natural soil and two flood-irrigated agricultural soils were studied in El Paso, TX.
In this research, mathematical modeling and experimental approaches were used to explore the mechanisms of N2O emissions from nitrifying and denitrifying biofilms. The nitrifying model suggests that N2O emissions can be significantly greater than from suspended-growth systems. The driving factor is the diffusion of hydroxylamine, a nitrification intermediate, from the aerobic to the anoxic regions of the biofilm.
This presentation will introduce a newly developed two-way coupled Great Lakes–Atmosphere Regional Model (GLARM) for improving the simulation of large, deep lakes in regional climate models and accurately resolving the two-way hydroclimatic interactions. Projection of the climate change over the Great Lakes region in the middle and the end of the 21st century will be also presented.
Wally Erickson and Dr. Trent McDonald will provide an overview of the state of science relative to wind and solar energy direct and indirect impacts on wildlife. A large amount of data has been collected to understand bird and bat mortality impacts from wind energy, while there is limited data available for characterizing these impacts for solar energy.
Large-scale implementation of conservation practices and alternative practices (e.g., bioenergy landscapes) that effectively prevent excess nutrients from entering downstream waterways while maintaining productive agriculture is critical for managing water quality. Dr. Christopher will discuss a project in which she evaluated implementation of inset floodplains ("two-stage ditch") in formerly channelized waterways in the River Raisin Watershed (RRW), a major subbasin in the Wester Lake Erie Basin.
This talk presents an approach to integrate physical and statistical models to estimate extreme storm surge. Specifically, a physically-based hydrodynamics model is used to provide the needed interpolation in space and extrapolation in both time and atmospheric conditions. Statistical modeling is needed to 1) estimate the input distribution for running the computer model, 2) develop a statistical emulator in place of the computer simulator, and 3) quantify estimate uncertainty due to input distribution, statistical emulator, missing/unresolved physics.
Every commercial energy technology depends on at least two materials or processes that provide the available energy for driving useful work. These two sides of the equation typically involve renewable and non-renewable components. In this seminar, a novel framework is proposed for categorizing the renewability of commercial energy systems. This framework will be presented, with application to vehicle transportation technologies.