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GOES-R3 TAC Recommendations

GOES-R3 TAC Recommendations. September 23, 2011 GOES R Science Week Huntsville AL. To Improve Meeting Process. Need Better Defined Desired Outcomes for Meeting For PIs as well as for Program Roles and Responsibilities for Reviewing Body (TAC) Need to Address Time Constraint Better

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GOES-R3 TAC Recommendations

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  1. GOES-R3 TAC Recommendations September 23, 2011 GOES R Science Week Huntsville AL

  2. To Improve Meeting Process • Need Better Defined • Desired Outcomes for Meeting • For PIs as well as for Program • Roles and Responsibilities for Reviewing Body (TAC) • Need to Address Time Constraint Better • Use Presentation Template (next slide) • Answer Standard Questions for PM and TAC • Require pre-posting • Allow More time for Posters • Focus on Science Detail • Facilitate Collaboration with other PIs • Facilitate Advice from PMs and TAC

  3. PI Presentation Template • Goals (What we intended) • Method • For New Starts • Progress (What we accomplished) • Way Forward • Connection to other NOAA/NASA Research • Connection to Operations

  4. TAC General Recommendations for PIs • Identify Early • Key stakeholder(s) • Who will you deliver your end product to….what are their needs • Recognize Forecaster new role • interpreter… not just provide a forecast but to the end user… what does this information mean to you… big step from basic applied science… to a service delivery…. • Recognize that even a really good result (science) • Need to be used to provide a service • Work toward Enterprise product life cycle • Research to ops transition • Make sure a defined path to ops… • Specific steps defined (like STAR)

  5. TAC Recommendations for PIs (Con’d) • Be willing to take risks in GRRR project • Negative results are not necessarily bad results if important information is gained in the process. • New starts need to take drill down approach • Example TVS… forecasters need to dig down to see what’s going on…. Smart pull of appropriate products…. • If you don’t train the forecasters on what goes into a black box product forecasters will not use it • Forecasters need to understand the strengths and weaknesses… when is the product applicable…. Need a continuing partnership between the user and developer….

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