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

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

Walter DabberdtVaisala CSOBoulder, CO

Executive Roundtable -- Dabberdt onClimate, Private Sector Engagement,and Strategic ForecastingApril 25-26, 2012 • Asheville, NC

/ 25-26 April 2012 / Climate Roundtable -- Dabberdt / ©Vaisala

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?

Climate Users’ Data Needs


Ex.: Hydrologic Prediction & theValue 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?

$

$$$The Value Chain


Primary Strengths of the Sectors

Public interest Policy justification Infrastructure Stable environment

(incl. research) Standards (data,

metadata, interface)

Innovation Value-added products Entrepreneurship Agility Risk taking Efficiencies Operational

capabilities Market expertise

Science People (technical

resource base) Research risk-

taking Research centers Neutral ground

PublicPrivateAcademic

Source: USWRP Mesoscale Workshop, Boulder, CO (2003)


The GCOS Reference Upper Air Network (GRUAN)

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 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 Initial GRUAN Stations

http://www.dwd.de/bvbw/generator/DWDWWW/Content/Projekte/Gruan/Images/gruan__network,templateId=poster,property=poster.png


UTLS Temperature & Humidity Profiles – WMO Intercomparison (5 COTS radiosondes)

tropopause

dry inversion

Launch Data:Flight 13

16 July 2010 20:04 LT

p = 996.7hPa T = 25.2C

RH = 94%Rain

cc = 10/10

Ela

psed

Tim

e (m

in:s

ec)

T (ºC) RH (%)

Yangjiang, China

Source: WMO/TD-No. 1580 (2011)


Recent Sounding Test: Vaisala RR01 vs. Chilled Frostpoint Hygrometer (20 Dec 2011, Sodankylä, FI)

Sodankylä 2011-12-20

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-90 -80 -70 -60 -50 -40 -30

Tfp, T [°C]

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]

Vaisala RR01T ambientCFH ascent

Test sounding performed by FMI Arctic Center / Dr. Rigel Kivi

Sodankylä 2011-12-20

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1 10 100 1000Mixing ratio [ppmv]

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t i

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Vaisala RR01

CFH ascent

mixing ratio (ppmv)frost point temperature (ºC)

RR01

Vaisala GLD360 Global Lightning Detection Network

Weekly Global MapsMay 2011 - February 2012(# strokes/km²/wk)


GLD360 – 2011, week 20, 16-22 MayStrokes per square km per week


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


GLD360 – 2011, week 49, 05-11 DecemberStrokes per square km per week


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


GLD360 – 2012, week 01, 02-08 JanuaryStrokes per square km per week


GLD360 – 2012, week 02, 09-25-26 ApriluaryStrokes per square km per week


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

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


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


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


Thank you!

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

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