List

TECHNICAL ABSTRACT: Recent advances in gas chromatographic (GC) and mass spectrometric (MS) techniques for atmospheric measurements have led to highly complex data sets that have overwhelmed the capabilities of current data analysis software. We propose a new method for the automated reduction of chromatographic data using peak-fitting algorithms. By relying upon constrained peak-fit parameterizat ...

TECHNICAL ABSTRACT: We propose to continue the development of a generalized 3DVAR data assimilation module, in an open-source and non-proprietary programming language, which is compatible with FVCOM and incorporated into the Lake Erie Operational Forecast System (LEOFS). We will leverage our experience and expertise in using 3DVAR for a ROMS-based real-time forecast system for the California coast ...

TECHNICAL ABSTRACT: Tropospheric oxidation capacity is dominated by HOx photochemistry, however halogen atoms and oxides significantly affect these chemical cycles. A sensitive and robust measurement of gaseous HCl is critically important to improve our understanding of halogen chemistry and its impacts on the spatial and temporal oxidation capacity of the atmosphere. In Phase I, we met all of our ...

The flow of equipment, repair parts, and other materiel to the Warfighter is critical to his or her success in the field.As a result of this critical need for materiel, DLA employees must contend with the difficult task of promoting and encouraging the reuse and disposition of excess property.With the advance of e-commerce sites and modern networks, searching a catalog for property has become a re ...

The proposed program provides a new biomass conversion technology to produce FDCA, 2,5- furandicarboxylic acid, to replace hydrocarbon chemicals for production of plasticizers and polyester polymers. FDCA is currently produced from hexose carbohydrates, such as sucrose or high fructose corn syrup. Recent trends in petroleum pricing have reduced biomass raw material cost advantages for replacement ...

As computational density for high-performance computing and big-data services continues to scale, performance scalability of next generation computing systems is becoming increasingly constrained by limitations in memory access, power dissipation and chip packaging. The processor-memory communication bottleneck, a major challenge in current multicore processors due to limited pin-out and power bud ...

Clouds play leading role in the Earth's global energy and solar radiation balance. Improving cloud models requires information on the cloud microphysical properties, such as particle size distribution and concentration, cloud composition (droplets, ice particles) and also information on ice crystal shapes (habits). New lightweight and low power instruments for characterization of mixed-phase cloud ...

The advent of sensor networks to gather atmospheric data for weather and climate prediction on large spatial and temporal scales is crucial to the advancement of our understanding of many important processes that make up such predictive models. The height of the atmospheric boundary layer, for example, is used to parameterize boundary layer transport in numerical weather prediction models and boun ...

The Relativistic Heavy Ion Collider (RHIC) at BNL is the nation’s premier quantum chromodynamics (QCD) research facility. Its future upgrade calls for the implementation of electron cooling strategies, where ultra-cold electron beams will be generated by photoinjectors. The photocathode, where the electron beam is produced, is required to deliver a significantly high average current (~50 mA) to ...

Dry cask storage systems (DCSS) are used to store spent nuclear fuel from nuclear power plants. Without a long term storage solution in place, storage for decades in casks may be required. High burnup fuel rods may become brittle over time presenting problems for eventual transport of the spent fuel from reactor sites to a central storage facility. It is desired to passively determine the structur ...