Helio Hackweek 2020 “Coronal Holes” team members and other hackweek participants continued their collaboration and published a paper and poster of their results at the 34th Conference on Neural Information Processing Systems. “SEARCH: SEgmentation of polAR Coronal Holes,” was published at the Machine Learning and the Physical Sciences Workshop.
From more accurate hydrology forecasts to improved understanding of cyclone dynamics, science advances enabled by NASA Center for Climate Simulation (NCCS) resources are the subject of posters and virtual presentations at the 101st Annual Meeting of the American Meteorological Society (AMS 101), being held online January 10–15, 2021.
The mission of the AI Center of Excellence is to enable new AI techniques for scientific discovery, providing scientists within NASA Goddard and their partners beyond NASA with resources for increased collaboration, innovation, and co-learning.
NASA Goddard Space Flight Center and university scientists researched the decline and subsequent recovery of nitrogen dioxide related to COVID-19 stay-at-home orders around the globe by combining a near-real-time computer simulation with surface observations using substantial NASA Center for Climate Simulation (NCCS) resources.
Researchers from the NASA Center for Climate Simulation (NCCS), its parent Computational Information & Sciences and Technology Office (CISTO), NASA Goddard Space Flight Center, and university partner organizations are participating in the Scientific Program at the 2020 American Geophysical Union (AGU) Fall Meeting, being held online 1–17 Dec 2020.
Nitrogen dioxide (NO2) is an important air pollutant formed during the combustion of fossil fuels. The reduced human activities in the wake of the COVID-19 pandemic led to sharp reductions in surface NO2 around the globe.
Combining 50-cm scale satellite data with computing resources from the NCCS and NCSA, Goddard’s Compton Tucker and collaborators mapped a surprising 1.8 billion trees across West Africa and determined the area of leaves within the tree crowns, which, with tree height calculations, will allow accurate predictions of carbon in the wood of these trees.
The NASA Center for Climate Simulation (NCCS) and NASA Goddard Space Flight Center partners will highlight their recent advances during SC20, the International Conference for High Performance Computing, Networking, Storage, and Analysis being held virtually November 9–19, 2020.
From assessing COVID-19’s global impacts to helping NASA return humans to the Moon to searching the cosmos for new exoplanets, researchers from across NASA, with university and industry partners, will highlight their latest advances, enabled by the agency’s supercomputers, at SC20—the International Conference for High Performance Computing.
To help scientists monitor Earth's stratospheric ozone for years to come, NASA Goddard Space Flight Center and NOAA Earth System Research Laboratories researchers used the NASA Center for Climate Simulation (NCCS) Discover supercomputer to create consistency between two satellite ozone datasets.
The virtual Heliophysics Hackweek 2020 took place August 20–28, 2020, hosted by the NASA Center for Climate Simulation (NCCS) at NASA Goddard Space Flight Center and co-sponsored by NVIDIA, with strong support from the University of Washington eScience Institute.
The new NASA Hydrological Forecast and Analysis System (NHyFAS) joins the U.S. Agency for International Development's Famine Early Warning System Network to help Africa and the Middle East better prepare for droughts and related disasters. NHyFAS runs monthly at the NASA Center for Climate Simulation (NCCS).
NASA Goddard Institute for Space Studies (GISS) scientists leveraged NASA Center for Climate Simulation (NCCS) supercomputing resources for several months to model a hypothetical climate history for Venus over the past 4.2 billion years.
The NASA Center for Climate Simulation (NCCS) announces a new resource for NASA-funded scientists: a graphics processing unit (GPU) cluster running on the ADAPT Science Cloud and specifically built for accelerating artificial intelligence (AI), machine learning (ML) and deep learning (DL) workloads using GPUs.
NASA scientists are using the NASA Center for Climate Simulation (NCCS) Spatial Analytics Platform and its Esri ArcGIS Server resources to provide a new, publicly shared data visualization analysis resource, the Global Fire Emissions Database (GFED).
Now available to all NASA Center for Climate Simulation (NCCS) computing platforms is a new resource hosting notable Earth science datasets—the Centralized Storage System.
Combining NASA satellite data with a computer model yields a first look at changes in global carbon dioxide concentrations after Coronavirus Disease 2019 (COVID-19) restrictions began during early 2020. The study ran on a custom configuration of the NASA Center for Climate Simulation (NCCS) Discover supercomputer.
Among other collaborative machine learning projects, the NASA Center for Climate Simulation (NCCS) and the National Science Foundation Spatiotemporal Innovation Center at George Mason University are classifying clouds to more accurately model and forecast local precipitation.
To investigate complex, remaining questions about how radiation from the Sun affects Earth’s climate, Duke University and NASA Goddard Institute for Space Studies scientists ran century-long simulations under a variety of solar conditions at the NASA Center for Climate Simulation (NCCS).
The NASA Center for Climate Simulation (NCCS) and NSF Spatiotemporal Innovation Center at George Mason University collaborate on many innovative machine learning research projects including the Climate Data Downscaling Project.
NASA’s upgraded seasonal prediction system shows substantial improvement in performance, infrastructure, and forecast skill over its predecessor, per a broad set of experiments carried out at the NASA Center for Climate Simulation (NCCS).
Using NCCS high-performance computing systems, a data scientist extracted millions of light curves from observed astronomical objects, enabling scientists to identify new planet candidates and stars.
NASA Goddard and university scientists built high-resolution models of the Moon’s gravity field using NCCS supercomputers and data from GRAIL and LRO, revealing detailed structure of the lunar crust.