In this episode of Let’s Talk Exascale, Mark Taylor of Sandia National Laboratories talks about using exascale supercomputers for severe weather and water resource forecasting. A sub-project within the US Department of Energy’s (DOE’s) Exascale Computing Project (ECP) called E3SM-MMF is working to improve the ability to simulate the water cycle and the processes around precipitation. Our guest on the latest episode of ECP’s podcast, Let’s Talk Exascale, is Mark Taylor of Sandia National Laboratories, principal investigator of the E3SM-MMF project.
Let’s Talk Exascale: Forecasting Water Resources and Severe Weather with Greater Confidence
June 26, 2020 by
Video: Machine Learning for Weather Forecasts
May 10, 2020 by
Peter Dueben from ECMWF gave this talk at the Stanford HPC Conference. “I will present recent studies that use deep learning to learn the equations of motion of the atmosphere, to emulate model components of weather forecast models and to enhance usability of weather forecasts. I will than talk about the main challenges for the application of deep learning in cutting-edge weather forecasts and suggest approaches to improve usability in the future.”
Altair and Cylc Take Weather Prediction by Storm
April 24, 2020 by
In this Sponsored Post, our friends over at Altair explain that to keep the world’s weather sites running smoothly, Altair and the Cylc open source community have packaged an industry-leading workload manager, Altair PBS Professional™, together with the Cylc workflow engine plus other helpful plug-ins to create the Altair Weather Solution.
NOAA seeks proposals to help develop world’s best weather forecast model
March 22, 2020 by
NOAA is seeking a technology partner to help design and build the Earth Prediction Innovation Center (EPIC). This extramural center will accelerate scientific research and engineering to create the world’s most accurate and reliable operational weather forecast model. “Through EPIC, the United States has a unique opportunity to harness the talents of the most brilliant modelers in the world to advance operational global numerical weather prediction,” said Neil Jacobs, Ph.D., acting NOAA administrator.
Podcast: Applying Deep Learning to Extreme Weather
March 11, 2020 by
“A research team from Rice University utilized three supercomputers (TACC’s Stampede 2, Wrangler, and Pittsburg Supercomputing Center’s Bridges system) to see if data on heat waves and cold spells could be predicted by analysis of atmospheric circulation and prior surface temperature. The results of these tests indicated that this deep learning approach is more accurate at predicting extreme weather.”
Intel Powers Fujitsu Supercomputer at Japan’s Meteorological Research Institute
March 3, 2020 by
Today Fujitsu announced the deployment of a new supercomputer system for the Meteorological Research Institute of the Japan Meteorological Agency. The new system consists of approximately 900 nodes including the latest x86 servers Fujitsu Server PRIMERGY CX2550 M5. With high-speed Intel Omni-Path interconnect, the system has a peak performance of 2.81 petaflops. “With the new supercomputer system, the Meteorological Research Institute plans to further advance research and development in areas such as the prediction and analysis of earthquakes, tsunamis, and volcanoes.”
Video: Data Driven Ocean & Atmosphere Sciences at MoES in India
January 19, 2020 by
Dr. Suryachandra Rao from MoES gave this talk at the DDN User Group. “The Ministry of Earth Sciences (MoES) is mandated to provide services for weather, climate, ocean and coastal state, hydrology, seismology, and natural hazards; to explore and harness marine living and non-living resources in a sustainable way and to explore the three poles (Arctic, Antarctic and Himalayas). MoES recently inaugurated a new supercomputer at the Indian Institute of Tropical Meteorology (IITM) in Pune, dedicated to improving weather and climate forecasts across the country.”
Job of the Week: NRL Research Scientist at SAIC
December 14, 2019 by
SAIC in Monterey, California is seeking an NRL Research Scientist in our Job of the Week. “SAIC is a premier technology integrator, solving our nation’s most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training.”
Météo-France to Boost Weather Forecasting Capabilities with Atos Supercomputer
November 17, 2019 by
Today Atos announced a new four-year contract with French national meteorological service, Météo-France, to supply two supercomputers based on its latest BullSequana XH2000 technology. “We’re really excited to be working again with Météo-France to boost its computing capacity with our BullSequana XH2000 supercomputers” said Pierre Barnabé, SVP, Head of Big Data & Security at Atos. “Equipped with the latest generation processors and accelerators, our BullSequana architechture offers Météo-France a combined peak performance of 20 petaflops to deliver even more precise results. It is also highly-energy efficient and minimizes global energy consumption.”
Progress and Challenges for the Use of Deep Learning to Improve Weather Forecasts
November 1, 2019 by
Peter Dueben from ECMWF gave this talk at the UK HPC Conference. “I will present recent studies that use deep learning to learn the equations of motion of the atmosphere, to emulate model components of weather forecast models and to enhance usability of weather forecasts. I will then talk about the main challenges for the application of deep learning in cutting-edge weather forecasts and suggest approaches to improve usability in the future.”
