Climate Data & the Private Sector: Selected Perspectives on Needs and Requirements

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!