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ORNL Researchers, Summit HPC Support IPCC Climate Change Report

As part of the Next-Generation Ecosystem Experiments Arctic project, scientists are gathering and incorporating new data about the Alaskan tundra into global models that predict the future of our planet. Credit: ORNL/U.S. Dept. of Energy Improved data, models and analyses from Oak Ridge National Laboratory scientists and many other researchers in the latest global climate […]

DOE Announces $34.5M for Data Science and Machine Learning for Climate Solutions

Washington, DC — March 19, 2021 — The U.S. Department of Energy (DOE) today announced up to $34.5 million for research tools for scientific discoveries, including clean energy and climate solutions. Two new funding opportunities will support researchers using data science and computation-based methods—including artificial intelligence and machine learning—to tackle basic science challenges, advance clean […]

Blue Waters Supercomputer Crunches Data from NASA’s Terra Satellite

Researchers are using the Blue Waters supercomputer at NCSA to process new data from NASA’s Terra Satellite. Approximately the size of a small school bus, the Terra satellite explores the connections between Earth’s atmosphere, land, snow and ice, ocean, and energy balance to understand Earth’s climate and climate change and to map the impact of human […]

Agreement Ensures Ongoing HPC Funding for Climate Research at DKRZ in Germany

Today German officials signed a contract for the long-term financing of a new supercomputer for DKRZ. The new machine will be used for climate research. “We need to understand much better how climate changes influence our way of life and vice versa – locally and globally,” said Katharina Fegebank, Senator for Science, Research and Equality. “This interplay is highly complex. Wise solutions are therefore dependent on sound scientific knowledge.”

HPC Reveals Glacial Flow

In this special guest feature from Scientific Computing World, Robert Roe looks at research from the University of Alaska that is using HPC to change the way we look at the movement of ice sheets. “The computational muscle behind this research project comes from the UAF’s Geophysical Institute which houses two HPC systems ‘Chinook’, an Intel based cluster from Penguin Computing and ‘Fish’ a Cray system installed in 2012 based on the Cray XK6m-200 that uses AMD processors.”

Video: Introduction to the Cheyenne Supercomputer

Cheyenne is a new 5.34-petaflops, high-performance computer built for NCAR by SGI. Cheyenne be a critical tool for researchers across the country studying climate change, severe weather, geomagnetic storms, seismic activity, air quality, wildfires, and other important geoscience topics. In this video, Brian Vanderwende from UCAR describes typical workflows in the NCAR/CISL Cheyenne HPC environment as well as performance […]

NASA Optimizes Climate Impact Research with Cycle Computing

Today Cycle Computing announced its continued involvement in optimizing research spearheaded by NASA’s Center for Climate Simulation (NCCS) and the University of Minnesota. Currently, a biomass measurement effort is underway in a coast-to-coast band of Sub-Saharan Africa. An over 10 million square kilometer region of Africa’s trees, a swath of acreage bigger than the entirety […]

How HPC is Helping Solve Climate and Weather Forecasting Challenges

Data accumulation is just one of the challenges facing today weather and climatology researchers and scientists. To understand and predict Earth’s weather and climate, they rely on increasingly complex computer models and simulations based on a constantly growing body of data from around the globe. “It turns out that in today’s HPC technology, the moving of data in and out of the processing units is more demanding in time than the computations performed. To be effective, systems working with weather forecasting and climate modeling require high memory bandwidth and fast interconnect across the system, as well as a robust parallel file system.”

HPC Helps Drive Climate Change Modeling

Because of the complexity involved, the length of the simulation period, and the amounts of data generated, weather prediction and climate modeling on a global basis requires some of the most powerful computers in the world. The models incorporate topography, winds, temperatures, radiation, gas emission, cloud forming, land and sea ice, vegetation, and more. However, although weather prediction and climate modeling make use of a common numerical methods, the items they compute differ.

HPC Helps Drive Weather Forecasting

The computational requirements for weather forecasting are driven by the need for higher resolution models for more accurate and extended forecasts. In addition, more physics and chemistry processes are included in the models so we can observe the very fine features of weather behavior. These models operate on 3D grids that encompass the globe. The closer the points on the grid are to each other, the more accurate the results.