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IT Trends, Changes, and Benefits in the Weather Enterprise

IT Trends, Changes, and Benefits in the Weather Enterprise. Ron Guy, Director of Unisys Weather Unit FPAW Summer Meeting, October 31, 2012. Demand for Weather Information. What is making it happen…. Improved Weather Observations and Forecasts Weather Modernization I (1990’s)

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IT Trends, Changes, and Benefits in the Weather Enterprise

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  1. IT Trends, Changes, and Benefits in the Weather Enterprise Ron Guy, Director of Unisys Weather Unit FPAW Summer Meeting, October 31, 2012

  2. Demand for Weather Information What is making it happen… • Improved Weather Observations and Forecasts • Weather Modernization I (1990’s) • Take weather forecasts seriously – improved forecasts • Weather Modernization II (2012 – 2025) • Human cannot process all the data – need more post-processing applicable to mission for automated decision-making

  3. Growth in Weather Data and Information Past, Current, and Future Weather Data Growth • Data Growth (real-time) • 1990’s satellite (GOES), radar (NEXRAD/TDWR), forecast models – 2 orders of magnitude • 2000 - 2011 radar (Level II), forecast models – 2 orders of magnitude • 2012 - 2025 satellite (GOES-R), radar (Dual Pol, MPAR), forecast models, observations (Network of Networks) – 2 or 3 orders of magnitude • Bandwidth Growth (real-time) • Compression algorithms mitigate BW growth but not all • FAA increase NAS bandwidth from 56 kbps to 768 kbps in late 90’s, mostly for NEXRAD weather radar products • Storage Growth • Decision Support Tools require past, current, and forecasted data • Growth scale – many orders of magnitude (2015-2025)

  4. IT Strategy Changes Changes, Benefits, and Challenge… • IT Model Strategy Changes • All the data all the time • The right data available all the time • Benefits under IT Model Changes • New programs (like CSS-Wx, IDP) shrink demand in the amount of data to deliver the needed information (SOA, Registry/Repository, Data Caching, Predictive IT Modeling (data demand forecasting), etc.) • Reduces the costs for information sharing to the targeted user communities • Reduces storage costs • Challenge • How to keep up with future data bandwidth and storage growth with architecture that provides the agility to handle the growth so only the relevant weather data is part of the data stream and storage

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