Accurate characterization of the global downward shortwave (SW) and photosynthetically active radiation (PAR) is fundamental for Earth system modeling and global change research. Combined with a machine-learning method, we used the Earth Polychromatic Imaging Camera (EPIC) data onboard the Deep...

This project will focus on developing, evaluating, and using a range of modeling tools to systematically analyze coastal processes, stressors, responses, and uncertainties, with an emphasis on: Interactions across different parts of coastal systems; Long-term changes in the coastal environment; and...

Multiple federal government agencies have mission elements that address national needs related to water and advance the underlying science. These diverse mission and scientific needs have engendered a large base of water-related data and modeling capabilities that, while useful for their intended...

Spruce and Peatlands Responses Under Changing Environments (SPRUCE) site is the 8.1-ha S1 bog, a Picea mariana [black spruce] – Sphagnum spp. ombrotrophic bog forest in northern Minnesota, 40 km north of Grand Rapids, in the USDA Forest Service Marcell Experimental Forest (MEF). Two field research...

The Community Emissions Data System (CEDS) produces emissions anthropogenic aerosol and precursor compounds over the entire industrial era, from 1750 to the present for use in global Earth system models and Earth system research more broadly. Emissions are produced at the country level by fuel and...

Last updated on 2023-02-23T19:37:46+00:00 by LN Anderson PerCon SFA Project Publication Experimental Data Catalog The Persistence Control of Engineered Functions in Complex Soil Microbiomes Project (PerCon SFA) at Pacific Northwest National Laboratory ( PNNL ) is a Genomic Sciences Program...

Machine learning is a core technology that is rapidly advancing within type 1 diabetes (T1D) research. Our Human Islet Research Network (HIRN) grant is studying early cellular response initiating β cell stress in T1D through the generation of heterogenous low- and high-throughput molecular...

PNNL’s Vision Statement for Equity in the Power Grid Drawing from a wealth of interdisciplinary research in grid modernization, PNNL is spearheading an effort to advance equity and energy justice through the role of scientific research with the goal of building an advanced national power grid...

Dr. Jason McDermott, senior research scientist, has extensive research experience in molecular and structural virology and data resource design, data integration and prediction of biological networks, bridging experimental and computational biology. Currently, his research interests include data...

Janet Jansson is Chief Scientist for Biology in the Biological Sciences Division and a Laboratory Fellow at the Pacific Northwest National Laboratory (PNNL). Jansson has more than 30 years of experience in microbial ecology. Jansson earned an M.S.in Soil Microbiology at Colorado State University...

Hyun Song’s research is directed toward developing modeling and computational tools for the simulation of cellular metabolism and microbial community dynamics. His research interest in metabolic modeling includes 1) omics data-guided estimation of flux distribution in a genome-scale metabolic...

Aaron Wright leads the Chemical Biology & Exposure Sciences Group in the Biological Sciences Division at PNNL. His highly collaborative and diverse chemical biology research team is focused on gaining an improved functional and mechanistic understanding of biological processes including: (a)...

The Environmental Determinants of Diabetes in the Young (TEDDY) study is searching for factors influencing the development of type 1 diabetes (T1D) in children. Research has shown that there are certain genes that correlate to higher risk of developing T1D, but not all children with these genes...

The Diabetes Autoimmunity Study in the Young (DAISY) seeks to find environmental factors that can trigger the development of type 1 diabetes (T1D) in children. DAISY follows children with high-risk of developing T1D based on family history or genetic markers. Genes, diets, infections, and...

Tom Metz is a Principal Investigator within the Integrative Omics group at PNNL and the Metabolomics Team Lead for a group of scientists that focuses on development and applications of high throughput metabolomics and lipidomics methods to various biological questions. He has worked to develop state...