The World Data System at the University of Colorado Boulder andthe National Snow and Ice Data CenterData and services supporting science

Lynn Yarmey, Ruth Duerr, and the NSIDC WDS team

Highlighted session themes

• Data diversity by discipline• Data diversity by scale• Continuity of monitoring programmes • Data quality

Highlighted session themes

• Data diversity by discipline• Data diversity by scale• Continuity of monitoring programmes • Data quality

Take away:Collaboration and Partnership

Context

46%

54%

National Snow and Ice Data Center Funding

Other fundingNASA DAAC

NSIDC Context(Not all shown)

46%

Example case

46%

Example case

Permafrost - ground that staysfrozen for more than 2 consecutive years

Shishmaref, Alaska Siberia

Lena River, Siberia

Example case

• Data diversity by discipline• Data diversity by scale• Connecting site-based in-situ data into regional dataset for modeling• Adding legacy data to modern obs.

• Continuity of monitoring programs • Mitigating monitoring discontinuity

• Data quality• Quality control, standardization• Uncertainty evaluation• Data rescue

Example case

• Data diversity by discipline• Data diversity by scale• Connecting site-based in-situ data into regional dataset for modeling• Adding legacy data to modern obs.

• Continuity of monitoring programs • Mitigating monitoring discontinuity

• Data quality• Quality control, standardization• Uncertainty evaluation• Data rescue

Partnerships:• Permafrost

scientists• GTN-P• Arctic Portal• Arctic Observing

Viewer• Arctic Data

Explorer

Spatial scaleGTN-P, AOV sites

Spatial scaleGTN-P, AOV sites

PermaData sites

Challenges

• Open data access, preservation• Semantic differences• Outdated, non-standard formats• Analog and un-digitized data• Lack of documentation• Changing standards• Addressing site discontinuity• Lack of uncertainty estimates• Short-term funding• ?

Challenges

These are not uncommon…

• Open data access, preservation• Semantic differences• Outdated, non-standard formats• Analog and un-digitized data• Lack of documentation• Changing standards• Addressing site discontinuity• Lack of uncertainty estimates• Short-term funding• ?

Challenges

• Open data access, preservation• Semantic differences• Outdated, non-standard formats• Analog and un-digitized data• Lack of documentation• Changing standards• Addressing site discontinuity• Lack of uncertainty estimates• Short-term funding• ? These are not uncommon…partners can help

Challenges

• Open data access, preservation• Semantic differences• Outdated, non-standard formats• Analog and un-digitized data• Lack of documentation• Changing standards• Addressing site discontinuity• Lack of uncertainty estimates• Short-term funding• ? These are not uncommon…partners can help

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Summary

• Data diversity by discipline• Data diversity by scale• Continuity of monitoring programmes • Data quality

Take-away:Collaboration and Partnership

Thank youAdditional questions? Contact me:Lynn.Yarmey@colorado.edu