Katrina Hui Named Semi-Finalist in Intel Science Talent Search
Congratulations to Katrina Hui, a high school science intern in Pacific Northwest National Laboratory's Computational Sciences & Mathematics Division, on being named a semi-finalist in the Intel Science Talent Search. Andrey Sushko, another PNNL high school intern, received second place honors.
Taming Uncertainty in Climate Prediction
Uncertainty just became more certain. Atmospheric and computational researchers at Pacific Northwest National Laboratory used a new scientific approach called "uncertainty quantification," or UQ, that allowed them to better simulate precipitation. Their study is the first to apply a stochastic sampling method to select model inputs for precipitation representations and improve atmospheric simulations within a regional weather research and forecasting model.
PNNL Researchers Invited to Join International Group
Kerstin Kleese van Dam and Karen Schuchardt, staff members at the Department of Energy's Pacific Northwest National Laboratory, have been invited to participate in the international Exascale I/O Interface working group. The working group comprising both researchers and industry representatives from leading vendors such as Cray, will seek solutions that integrate actions throughout the system stack from application to hardware and reach from the HPC system to the file system.
Learning About Material Integrity from Statistical Data
Whether it protects space satellites or sequesters nuclear waste, scientists want to understand tiny features that could significantly alter how a material behaves. Locating microscopic defects can be done with powerful microscopes, but scientists want more. They want to use the microscopes to locate and understand the very molecules involved in the defects. Describing the location of the molecules and atoms in images often relies on statistics that can be inaccurate and expensive.
Modeling Microbes to Manage Carbon Dioxide
In the past decade, microbiologists began realizing that communities of microbes process energy and materials, which affects their environments. To understand how microbial communities function in a natural ecosystem, Pacific Northwest National Laboratory scientists developed a novel kinetic model that represents microbial community dynamics in soil pores.
