American Meteorological Society annual meeting 2013
The theme for the 2013 AMS Annual Meeting is “Taking Predictions to the Next Level: Expanding Beyond Today's Weather, Water, and Climate Forecasting and Projections”.
The meteorological community can take enormous pride in
- making prediction a fundamental part of its scientific and operational/service heritage,
- developing and applying complex numerical models that now rely on a real-time, satellite dominated global observing systems, involve the atmosphere, ocean, land and cryosphere components of the Earth System and are run on the World’s largest computers
- forecasting extreme events, in some cases over a week in advance.
Furthermore, the increasing use of predictions by decision makers throughout federal, state, and local government agencies and private/commercial sectors will serve as an important component for this annual meeting of the weather and climate enterprise predictive capabilities to decision and support services.
Town Hall Meeting: Accessing Big Data for Disaster Risk Reduction—Global Access, Integration and Crisis Management
Open initiatives and new applications for “Big Data” constitute a genuine opportunity to provide decision makers with powerful new tools for tracking and predicting hazardous events, protecting vulnerable communities, understanding human factors and targeting where to optimize programs and policies. For many "data poor" countries and communities accessing “Big Data” can expand credibility and usefulness of meteorological forecasts and warnings.
The significance of "big Data" is growing and expected to close both information and timeliness gaps that limit capabilities to plan, mitigate, or adapt to environmental hazards and change. Yet many National Meteorological and Hydrological Services and other stakeholders have no means to analyze and utilize effectively the new Big Data load that is present today and will continue to grow rapidly in the future.
Key questions:
- Who will be responsible for acquiring, processing, integrating, and delivering data and information of Big Data sets?
- How can Big Data be used for “real-time” risk and crisis management?
- What are good practices for integrating data sets for users and delivering tools needed for decision making?