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Value of information for climate observing systems

Author

Listed:
  • Roger Cooke

    (Resources for the Future)

  • Bruce A. Wielicki

    (NASA Langley Research Center)

  • David F. Young

    (NASA Langley Research Center)

  • Martin G. Mlynczak

    (NASA Langley Research Center)

Abstract

The Interagency Working Group Memo on the social cost of carbon is used to compute the value of information (VOI) of climate observing systems. A generic decision context is posited in which society switches from a business as usual (BAU) emissions path to a reduced emissions path upon achieving sufficient confidence that a trigger variable exceeds a stipulated critical value. Using assessments of natural variability and uncertainty of measuring instruments, it is possible to compute the time at which the required confidence would be reached under the current and under a new observing system, if indeed the critical value is reached. Economic damages (worldwide) from carbon emissions are computed with an integrated assessment model. The more accurate observing system acquires the required confidence earlier and switches sooner to the reduced emissions path, thereby avoiding more damages which would otherwise be incurred by BAU emissions. The difference in expected net present value of averted damages under the two observing systems is the VOI of the new observing system relative to the existing system. As illustration, the VOI for the proposed space-borne CLARREO system relative to current space-borne systems is computed. Depending on details of the decision context, the VOI ranges from 2 to 30 trillion US dollars.

Suggested Citation

  • Roger Cooke & Bruce A. Wielicki & David F. Young & Martin G. Mlynczak, 2014. "Value of information for climate observing systems," Environment Systems and Decisions, Springer, vol. 34(1), pages 98-109, March.
    • Handle: RePEc:spr:envsyd:v:34:y:2014:i:1:d:10.1007_s10669-013-9451-8
    DOI: 10.1007/s10669-013-9451-8
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    References listed on IDEAS

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    Cited by:

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    2. Adam H. Sobel, 2021. "Usable climate science is adaptation science," Climatic Change, Springer, vol. 166(1), pages 1-11, May.
    3. Zou, Guang & Faber, Michael Havbro & González, Arturo & Banisoleiman, Kian, 2021. "Computing the value of information from periodic testing in holistic decision making under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    4. Reetwika Basu & Eric Anderson & Chinmay Deval & Kelsey Herndon & Amanda Markert & Lena Pransky & Emil Cherrington & Aparna Phalke & Alqamah Sayeed, 2024. "Serving economic prosperity: economic impact assessments (EIA) on Earth observation-based services and tools by SERVIR," Papers 2405.15672, arXiv.org.
    5. Newbold, Stephen C. & Johnston, Robert J., 2020. "Valuing non-market valuation studies using meta-analysis: A demonstration using estimates of willingness-to-pay for water quality improvements," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    6. Lindley, Sarah & Albeke, Shannon & Viers, Joshua & Parsons, George & Johnston, Robert & Newbold, Stephen C., 2022. "Valuing Satellite Data for Harmful Algal Bloom Early Warning Systems," RFF Working Paper Series 22-23, Resources for the Future.
    7. Jeffrey M. Keisler, 2014. "Value of information: facilitating targeted information acquisition in decision processes," Environment Systems and Decisions, Springer, vol. 34(1), pages 1-2, March.

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