Using Data Analytics to Support Knowledge Based Weather Decision Support Systems in the ATM Don Berchoff, VP for Advanced Weather Programs FPAW Summer.

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Presentation transcript:

Using Data Analytics to Support Knowledge Based Weather Decision Support Systems in the ATM Don Berchoff, VP for Advanced Weather Programs FPAW Summer Meeting, August 8, 2012

© 2012 Unisys Corporation. All rights reserved. 2 Why Weather Matters to the ATM More air traffic requires closer spacing, better routing Weather impacts the safe and efficient movement of people and commerce within a finite ground and air transportation grid Ground operations impacted by hazardous weather causes delays and impacts passenger comfort Airlines becoming more attuned to how the environment affects their business and profit margins Vulnerability…

© 2012 Unisys Corporation. All rights reserved. 3 Growth in Weather Data and Information Data is predicted to grow 800% over the next five years –80% of that data growth will be attributable to unstructured data –Digital content doubling every 18 months, >80% growth driven from unstructured data “Big Data” Upgraded weather radar, new satellites, higher resolution models, and increased observations Capturing and storing the data is simple. It’s what one can do with the vast amount of information that is critical… Rapid advancements in: environmental probabilistic predictions high performance computing at affordable costs analytic capabilities that rapidly mine and fuse elements of information critical to optimize business decisions Anticipated Growth in Weather Data

© 2012 Unisys Corporation. All rights reserved. 4 Applying Analytics for Knowledge Mitigating or “planning out the weather” now feasible and will significantly increase productivity and operations efficiency of weather-sensitive businesses and industries Big Data Weather Data (Automated or Human) Client Data Smart Computing Analytics Applications Smart Computing Analytics Applications Deterministic or Probabilistic Client Business and Risk Management Rules Decision-Ready Knowledge Decision-Ready Knowledge Real-time Decision Instructions Delivered and Executed Timely, Secure, Efficient and Effective Operations Decisions Measure Environment Measure Environment Develop Probability Outputs Produce Computer or Human Generated Forecasts Produce Computer or Human Generated Forecasts Analyze Data Analyze Data Assimilate Data Assimilate Data Tailor or Fuse With Customer Business Rules DataInformation Knowledge Client Makes Decision Client Makes Decision