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Breakout Group 2: Overview

Breakout Group 2: Overview. General consensus: Lots of good work going on in the PG. Workshop proves it! What is data integration? The level of processing (L1/2/3) What level is used / needed in operations The combination of different types of data, including international

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Breakout Group 2: Overview

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  1. Breakout Group 2: Overview General consensus: Lots of good work going on in the PG. Workshop proves it! • What is data integration? • The level of processing (L1/2/3) • What level is used / needed in operations • The combination of different types of data, including international • Role of models (SA vs models) • In large areas or areas with limited obs, combine obs to come up with single state of atmosphere • View integration in terms of the future forecast process • Bits of data (products) won’t be used as they are now • Strategic plan • Extrapolation of observations for now/nearcasting and potential role in future operations

  2. What’s needed to specify data & product reliability and quality for users? • Data integrity is critical – using mutlisensor data to assess confidence in observation • Understanding the basis of the product is essential for forecasters to act on guidance Recommendation: • Training about products, how they’re made, strengths/weaknesses, and when to use them • Sufficient metadata is needed to trace back source of information • Error characterization needed for models

  3. Identify GOES-R Risk Reduction Projects for fused products with early successful demonstrations • Precip algorithm (MW, GLM, GPM, ABI, model) • Severe WX nearcasting (grid of vertical thetaE over time) • Next gen CI (combines model, satellite, and potentially radar) • TC rapid intensification (sat/models/altimetry data) • Orographic rain index (model winds / satellite TPW) • Lightning jump algorithm • Volcanic Ash (fusion product b/c obs are a source for plume models) Recommendation: • Fusion products are gap fillers AND/OR principle sources of observations • PG interaction and NWS guidance will inform future R3 activities

  4. When & where will fused operational decision-making products be created? Recommendation: • Central or local - Situation dependent • NextGen as schedule driver (SOA) • Initial focus is aviation, but need to expand to all forecast elements

  5. How can Integrated Decision Support Services be delivered at national, regional, & local scales in the GOES-R era given current & planned communications (data flow) limitations ? • NWS currently upgrading IT infrastructure based on data increase projections from GOES-R, JPSS, NPP, models and dual-pole radar • Dependencies on AWIPPS II Recommendation: • Further analysis of level of data delivery needed • Service delivery should be science driven, not IT driven • Initial IT infrastructure needs to get smarter about what’s sent

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