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Engaging the Private Sector in Climate Data: Perspectives on Challenges and Opportunities

This report delves into the critical role of the private sector in climate data usage, highlighting the data needs of various users, including adaptation and mitigation efforts. It outlines key concerns such as measurement versus simulation, spatial and temporal resolution, and the importance of accuracy and precision in climate observations. The discussion includes how to effectively structure the climate enterprise, addressing the roles of public and private sectors and academia, while also considering business models that facilitate collaboration across the value chain.

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Engaging the Private Sector in Climate Data: Perspectives on Challenges and Opportunities

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  1. Climate Data & the Private Sector: Selected Perspectives on Needs and Requirements Walter Dabberdt Vaisala CSO Boulder, CO Executive Roundtable -- Dabberdt on Climate, Private Sector Engagement, and Strategic Forecasting April 25-26, 2012 • Asheville, NC

  2. Climate Users’ Data Needs • Who are the users? • How will they use the data? Adaptation? Mitigation? What does the value chain look like? • Users’ data needs? • measurements vs. simulations • first-order vs. derived parameters • representative scale: point, line, area, volume • spatial resolution • temporal resolution • precision • accuracy • QA/QC • How to structure the climate enterprise?Which entities will provide these data? What are roles of the public and private sectors? Does academia have a role? • What’s the business model?

  3. $$$ Ex.: Hydrologic Prediction & theValue Chain The Value Chain Decision Support Prediction Analyses Observations  Data Technology/Sensors/Systems To be successful, the “Enterprise” must participate throughout the value chain. But, who does what? $

  4. Academic Private Public • Science • People (technical resource base) • Research risk- taking • Research centers • Neutral ground • Innovation • Value-added products • Entrepreneurship • Agility • Risk taking • Efficiencies • Operational capabilities • Market expertise • Public interest • Policy justification • Infrastructure • Stable environment (incl. research) • Standards (data, metadata, interface) PrimaryStrengths of the Sectors Source: USWRP Mesoscale Workshop, Boulder, CO (2003)

  5. The GCOS Reference Upper Air Network (GRUAN) • The current upper-air measurement network does not satisfy the requirements for climate observations. Therefore, in 2007, GCOS laid out the need for a GCOS Global Reference Upper-Air Network, or GRUAN (Seidel, 2009). • The overall goal of GRUAN is to establish 30-40 stations that will use reference grade radiosondes in addition to other instrumentation to represent climate around the world. • The Deutscher Wetterdienst's Lindenberg Observatory is the GRUAN Lead Center, providing scientific leadership, managing the network and data archiving, and ensuring free dissemination. The Initial GRUAN Stations

  6. UTLS Temperature & Humidity Profiles – WMO Intercomparison (5 COTS radiosondes) Launch Data: Flight 13 16 July 2010 20:04 LT p = 996.7hPa T = 25.2C RH = 94% Rain cc = 10/10    tropopause   Elapsed Time (min:sec) dry inversion Yangjiang, China Source: WMO/TD-No. 1580 (2011) RH (%) T (ºC)

  7. Recent Sounding Test: Vaisala RR01 vs. Chilled Frostpoint Hygrometer (20 Dec 2011, Sodankylä, FI) RR01 frost point temperature (ºC) mixing ratio (ppmv) Test sounding performed by FMI Arctic Center / Dr. Rigel Kivi

  8. Vaisala GLD360 Global Lightning Detection NetworkWeekly Global MapsMay 2011 - February 2012(# strokes/km²/wk)

  9. GLD360 – 2011, week 20, 16-22 May Strokes per square km per week

  10. GLD360 – 2011, week 48, 28 Nov.-04 Dec. Strokes per square km per week

  11. GLD360 – 2011, week 49, 05-11 December Strokes per square km per week

  12. GLD360 – 2011, week 50, 12-18 December Strokes per square km per week

  13. GLD360 – 2011, week 51, 19-25 December Strokes per square km per week

  14. GLD360 – 2011, week 52, 26 Dec.-01 Jan. Strokes per square km per week

  15. GLD360 – 2012, week 01, 02-08 January Strokes per square km per week

  16. GLD360 – 2012, week 02, 09-25-26 Apriluary Strokes per square km per week

  17. GLD360 – 2012, week 03, 16-22 January Strokes per square km per week

  18. GLD360 – 2012, week 04, 23-29 January Strokes per square km per week

  19. GLD360 – 2012, week 05, 30 Jan.-05 Feb. Strokes per square km per week

  20. GLD360 Monthly Global MapsJuly 2011 & January 2012(# strokes/km²/mo)

  21. GLD360 - July 2011 (boreal summer) Strokes per square km per month

  22. GLD360 - January 2012 (austral summer)Strokes per square km per month

  23. Thank you!

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