1 / 4

Using Data Analytics to Support Knowledge Based Weather Decision Support Systems in the ATM

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. Why Weather Matters to the ATM. Vulnerability…. More air traffic requires closer spacing, better routing

alvaro
Download Presentation

Using Data Analytics to Support Knowledge Based Weather Decision Support Systems in the ATM

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 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

  2. Why Weather Matters to the ATM Vulnerability… • 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

  3. Growth in Weather Data and Information “Big Data” • 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 Anticipated Growth in Weather 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

  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 Data Information Knowledge Assimilate Data Measure Environment Analyze Data Produce Computer or Human Generated Forecasts Develop Probability Outputs Tailor or Fuse With Customer Business Rules Client Makes Decision Big Data Smart Computing Analytics Applications Decision-Ready Knowledge Weather Data (Automated or Human) Client Data Deterministic or Probabilistic Client Business and Risk Management Rules Real-time Decision Instructions Delivered and Executed Timely, Secure, Efficient and Effective Operations Decisions

More Related