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Symposium to focus on big data related to weather, climate and Earth systems

May 18, 2016

Penn State will host the symposium, “Advanced Assimilation and Uncertainty Quantification in Big Data Research for Weather, Climate and Earth System Monitoring and Prediction,” on May 23-24, 2016 at the Toftrees Golf Resort and Conference Center in State College, Pennsylvania. The two-day symposium will feature presentations from more than thirty national and international scholars, including ten National Academies and Royal Academies members.

The symposium will open at 8 a.m. Monday, May 23, with opening remarks by Neil Sharkey, vice president for research at Penn State, and Eva Zanzerkia, program director for the National Science Foundation’s EarthCube.

Symposium co-chairs, Richard Alley, Evan Pugh Professor of Geosciences, and Fuqing Zhang, professor of meteorology and professor of statistics, and will deliver the closing remarks at 5:20 p.m. on Tuesday May 24. Zhang also directs Penn State’s Center for Advanced Data Assimilation and Predictability Techniques (ADAPT), sponsor of the symposium.

“We are delighted to host this symposium, which will bring together researchers from a wide range of disciplines,” Zhang said. “We are especially pleased to be able have such a high-caliber slate of presenters for this symposium. Our goal is to give a broad overview of the state-of-the-art research in big data for weather, climate and earth system monitoring and prediction, particularly with respect to the progress and challenges in advanced data assimilation and uncertainty qualification.”

The symposium includes the following 9 sessions:

  • Biosphere, geochemistry, and carbon science
  • Land surface, hydrology, air quality and human health
  • Nature disasters: Hurricanes, tornadoes and earthquakes
  • Paleoclimate, climate change, and societal impacts
  • Cryosphere, ocean and climate change
  • Exoplanet and Martian atmosphere
  • Numerical weather prediction and predictability
  • New algorithms, optimization, and uncertainty quantification
  • Data assimilation, data mining, satellite and remote sensing

For more information about the symposium please visithttp://adapt.psu.edu/2016EnKFWorkshop/SYMPOSIUM/index.php online.

The symposium is free to attend but registration is required. Deadline to register is May 18, 2016.

Please visithttp://adapt.psu.edu/2016EnKFWorkshop/SYMPOSIUM/index.php?loc=registration online to register.

For information about the ADAPT center, sponsor of this symposium, please visit: http://adapt.psu.edu online.

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