With a three-year, $500,000 grant from the National Oceanic and Atmospheric Administration (NOAA), scientists are working to improve climate models on which future water projections are based.
Improved data, models and analyses from Oak Ridge National Laboratory scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet and highlight the urgency of decarbonization to avoid the most severe impacts.
ORNL story tips: Getting to the root, empowering savings potential and hotter urban hydrology
Argonne and the New York Power Authority are collaborating to determine how the utility’s infrastructure may be affected by extreme weather and other hazards.
Charles M. “Chick” Macal, a modeling and simulation expert at Argonne, garnered the distinguished title of Fellow of the Society for Computer Simulation International for his 20 years in the field and his recent studies on COVID-19 spread.
The U.S. Department of Energy (DOE) today awarded $15.6 million for new research studying the properties, formation, and interactions between atmospheric clouds and the aerosols that form them.
Research on Earth’s systems can help scientists better understand our planet’s past and future. The Department of Energy’s Office of Science supports work to gather observations, improve models, and feed them into computer simulations.
Infrastructure planning requires accurately predicting how tropical cyclones respond to environmental changes. To make those predictions, researchers use Earth system models. In this research, scientists analyzed tropical cyclones simulated by the Department of Energy’s Energy Exascale Earth System Model (E3SM). They found that high resolution is critical to simulating tropical cyclones and their interactions with the ocean.
Drizzle in marine clouds is a key parameter for achieving more accurate climate predictions. Argonne developed novel techniques to retrieve drizzle properties and will expand its research to the aerosol impact on clouds and precipitation.
Where does snow come from? This may seem like a simple question to ponder as half the planet emerges from a season of watching whimsical flakes fall from the sky–and shoveling them from driveways. But a new study on how water becomes ice in slightly supercooled Arctic clouds may make you rethink the simplicity of the fluffy stuff. It describes definitive, real-world evidence for “freezing fragmentation” of drizzle as a major source of ice in slightly supercooled clouds. The findings have important implications for forecasting weather and climate.
ORNL identifies a statistical relationship between the growth of cities and the spread of paved surfaces. // ORNL successfully demonstrates a technique to heal dendrites that formed in a solid electrolyte. // ORNL combines additive manufacturing with conventional compression molding.
Scientists at Argonne developed a climate model that projects future conditions at neighborhood-level scale across the entire United States to help PG&E plan for extreme weather events in California.
New results from an atmospheric study over the Eastern North Atlantic reveal that tiny aerosol particles that seed the formation of clouds can form out of next to nothingness over the open ocean. Understanding the process will improve how aerosols and clouds are represented in models that describe Earth’s climate.
Forty years of the Office of Science’s investments in applied mathematics and computational sciences are paying off in world-class infrastructure and research, as described in the [email protected] report.
Throughout 2020, Argonne answered fundamental science questions and provided solutions for the world.
Urban landscapes and human-made aerosols have the potential to not only make gusts stronger and hail larger; they can also start storms sooner and even pull them toward cities, according to new research exploring the impact of urban development on hazardous weather, led by PNNL researchers.
California and other areas of the U.S. Southwest may see less future winter precipitation than previously projected by climate models. After probing a persistent error in widely used models, PNNL researchers estimate that California will likely experience drier winters in the future than projected by some climate models, meaning residents may see less spring runoff, higher spring temperatures, and an increased risk of wildfire in coming years.
Combining large-scale atmospheric models and observations is a long-standing challenge, in part because of the mismatch between different spatial and temporal scales. For example, shallow convective clouds are so small that typical atmospheric models cannot represent individual clouds. The Department of Energy’s Large-Eddy Simulation Atmospheric Radiation Measurement Symbiotic Simulation and Observation activity seeks to bridge these scale gaps.
A Florida State University researcher is part of a team that has found varying projections on global warming trends put forth by climate change scientists can be explained by differing models’ predictions regarding ice loss and atmospheric water vapor.
New research from the FAMU-FSU College of Engineering combines climate and land use projections to predict water availability, information that is crucial for the preparations of resource managers and land-use planners.
Forecasting the water levels, temperatures, and currents of the Great Lakes is important because conditions on the lakes affect commerce, recreation, and community well-being. These forecasts comprise the Great Lakes Operational Forecast System (GLOFS), an automated model-based prediction system operated by the National Oceanic and Atmospheric Administration (NOAA). Michigan Tech helps NOAA improve the GLOFS model.
The role of AI in science is at a turning point, with weather, climate, and Earth systems modeling emerging as an exciting application area for physics-informed deep learning. In this Q&A, NERSC’s Karthik Kashinath discusses what is driving the scientific community to embrace these new methodologies.
In the last several decades, more than half of the deaths associated with tropical cyclones in the U.S. were due to inland flooding. Unfortunately, current forecasting capabilities are limited. Researchers are developing a warning system for more accurate and timely detection and forecasting of inland and coastal floods, under a variety of precipitation regimes. The technology will enable local and state governments to more effectively plan and respond to tropical storms.
In a new study, researchers at the University at Albany have turned to more than a century’s worth of data (from 1901 to 2012) in NOAA’s International Tree Ring Data Bank to both analyze historical tree growth at 3,579 forests around the world and create a model for future projections (from 2045 to 2060).
Observational data of equatorial circulation pattern confirms that the pattern is weakening, a development with important consequences for future rainfall in the subtropics. Columbia Researchers Provide New Evidence on the Reliability of Climate Modeling Observational data of equatorial circulation pattern…