Value of information for climate observing systems

Environment Systems and Decisions

Volumn 34, Issue 1, 2014, Pages 98-109

  Cooke, Roger ^a   Wielicki, Bruce A ^b   Young, David F ^b   Mlynczak, Martin G ^b  

^a RESOURCES FOR THE FUTURE   (United States)

^b NASA LANGLEY RESEARCH CENTER   (United States)

Author keywords

CLARREO; Climate observing system; DICE; Social cost of carbon; Value of information

Indexed keywords

CARBON EMISSION; CLIMATE MODELING; ECONOMIC ANALYSIS; ENVIRONMENTAL ECONOMICS; INFORMATION MANAGEMENT; UNCERTAINTY ANALYSIS; VALUATION;

EID: 84897584169     PISSN: 21945403     EISSN: 21945411     Source Type: Journal    
DOI: 10.1007/s10669-013-9451-8     Document Type: Article

References (50)

1. Anthoff D, Tol RSJ (2010) The climate framework for uncertainty, negotiation and distribution (FUND). Technical description, version 3. 5. URL: http://www. fund-model. org/.
2. Arrow KJ, Cline WR, Maler K-G, Munasinghe M, Squitieri R, Stiglitz JE (1996) Intertemporal equity, discounting, and economic efficiency, In: Climate change 1995: Economic and social dimensions of climate change, contribution of working group III to the second assessment report of the IPCC.
3. Brathwaite J, Saleh JH (2013) Bayesian framework for assessing the value of scientific space systems: value of information approach with application to earth science spacecraft. Acta Astronaut 84: 24-35.
4. CCSP (2003) Strategic plan for the U. S. Climate Change Science Program, U. S. Climate Change Science Program. www. climatescience. gov, p 202.
5. Cooke RM (2012) Uncertainty analysis comes to integrated assessment models for climate change.and conversely. Clim Change 117(3): 467-479. doi: 10. 1007/s10584-012-0634-y.
6. Dessler AE (2010) Clouds and the earth's energy budget, geophys. Res Lett 38: L19701. doi: 10. 1029/2011GL049236.
7. EUMETSAT 2011: GSICS traceability statement for IASI and AIRS, Doc. No. EUM/MET/TEN/11/0157, DCN No. 3786830, 16 March 2011.
8. Foster G, Rahmstorf S (2011) Global temperature evolution 1979-2010. Environ Res Lett 6: 8. doi: 10. 1088/1748-9326/6/4/044022.
9. Freebairn JW, Zillman JW (2002) Economic benefits of meteorological services. Meteorol Appl 9: 33-44.
10. Global Climate Observing System (GCOS) (2011) Systematic observation requirements for satellite-based data products for climate, 2011 update. GCOS-154, WMO, p 128.
11. Group on Earth Observations (GEO) (2005) The global earth observation system of systems (GEOSS) 10-year implementation plan. http://www. earthobservations. org/documents/10-year%20Implementation%20Plan.
12. Group on Earth Observations (GEO) (2010) A quality assurance framework for earth observation: Principles, version 4. Jan 2010. http://qa4eo. org/docs/QA4EO_Principles_v4. 0. pdf.
13. Hansen J et al (2005) Efficacy of climate forcings. J Geophys Res 110: D18104. doi: 10. 1029/2005JD005776.
14. Hansen J, Ruedy R, Sato M, Lo K (2010) Global surface temperature change. Rev Geophys 48: RG4004. doi: 10. 1029/2010RG000345.
15. Hansen J, Sato M, Kharecha P, von Schuckmann K (2011) Earth's energy imbalance and implications. Atmos Chem Phys 11: 27031-27105.
16. Hilton F et al (2012) Hyperspectral earth observations from IASI: five years of accomplishments. Bull Am Meteorol Soc 93: 347-370.
17. Hope C (2006) The marginal impact of CO2 from PAGE2002: An integrated assessment modelincorporating the IPCC's five reasons for concern. Integr Assess 6: 19-56.
18. Hurrell J, Meehl GA, Bader D, Delworth T, Kirtman B, Wielicki B (2009) A unified modeling approach to climate system prediction. Bull Am Meteorol Soc 90: 1819-1832.
19. IPCC (Intergovernmental Panel on Climate Change) (2007) Climate change 2007: The physical science basis, working group I contribution to the fourth assessment report of the IPCC. Cambridge University Press, New York.
20. IWG SCC (Interagency Working Group on Social Cost of Carbon, U. S. government) (2010). Social cost of carbon for regulatory impact analysis under executive order 12866, Appendix 15a, Washington DC. http://www. epa. gov/otaq/climate/regulations/scc-tsd. pdf.
21. Karl TR, Hassol SJ, Miller CD, Murray WL (2006) Synthesis and assessment product 1. 1 report by the U. S. Climate Change Science Program and the Subcommittee on Global Change Research. U. S. Climate Change Science Program, April, 2006, p 164.
22. Katz RW, Murphy AH (eds) (2005) "Economic value of weather and climate forecasts", IBSN: 9780521435710, Cambridge University Press.
23. Kelly DL, Kolstad CD (1999) Bayesian learning, growth, and pollution. J Econ Dyn Control 23(4): 491-518.
24. Klocke D, Pincus R, Quaas J (2011) On constraining estimates of climate sensitivity with present day observations through model weighting. J Clim 24: 6092-6099.
25. Kopp RE, Mignone BK (2012) The U. S. government's social cost of carbon estimates after their first two years: Pathways for improvement. Econ 6: 2012-2015.
26. Laxminarayan R, Macauley MK (eds) (2012) The value of information methodological frontiers and new applications in environment and health. Springer, Dordrecht. doi: 10. 1007/978-94-007-4839-2.
27. Lean JL, Rind DH (2009) How will Earth's surface temperature change in future decades? Geophys Res Lett 36: L15708. doi: 10. 1029/2009GL038932.
28. Leroy SS, Anderson JG, Ohring G (2008) Climate signal detection times and constraints on climate benchmark accuracy requirements. J Clim 21: 184-846.
29. McInerney D, Lempert R, and Keller K (2011) What are robust strategies in the face of uncertain climate threshold responses? Clim Change. doi: 10. 1007/s10584-011-0377-1.
30. Morss RE, Lazo JK, Brown BG, Brooks HE, Ganderton PT, Mills BN (2008) Societal and economic research and applications for weather forecasts. Bull Am Meteorol Soc 89: 335-346.
31. Murphy JM, Sexton DMH, Barnett DN, Jones GS, Webb MJ, Collins M, Stainforth DA (2004) Quantification of modelling uncertainties in a large ensemble of climate change simulations. Nature. doi: 10. 1038/nature02771.
32. Nordhaus WD (2008) A question of balance: weighing the options on global warming policies. Yale University Press, New Haven.
33. NRC (2007) Earth science and applications from space: national imperatives for the next decade and beyond. National Academy Press, Washington D. C.
34. 3). NOAA, Washington D. C.
35. Ohring GB, Wielicki BA, Spencer R, Emery B, Datla R (2005) Satellite instrument calibration for measuring global climate change: report on a workshop. Bull Am Meteorol Soc 86: 1303-1313.
36. O'Neill B, Crutzen CP, Gruebler A, Duong MH, Keller K, Kolstad C, Koomey J, Lange A, Obersteiner M, Oppenheimer M, Pepper W, Sanderson W, Schlesinger M, Treich N, Ulph A, Webster M, Wilson C (2006) Learning and climate change. Clim Policy 6: 585-589.
37. Roe GH, Baker MB (2007) Why is climate sensitivity so unpredictable? Science 318(5850): 629-632.
38. Soden BJ, Held IM (2006) An assessment of climate feedbacks in coupled ocean-atmosphere model. J Clim 19: 3354-3360.
39. Soden BJ, Vecchi GA (2011) The vertical distribution of cloud feedback in coupled ocean-atmosphere models. Geophys Res Lett 38: L12704. doi: 10. 1029/2011GL047632.
40. Soden BJ, Held IM, Colman R, Shell KM, Kiehl JT, Shields CA (2008) Quantifying climate feedbacks using radiative kernels. J Clim 21: 3504-3520.
41. Stern N (2008) The economics of climate change. Am Econ Rev 98(2): 1-37.
42. Teisberg TJ, Weiher RF, Khotanzad A (2005) The economic value of temperature forecasts in electricity generation. Bull Am Meteorol Soc 86: 1765-1771.
43. Tol RS (2002) Estimates of the damage costs of climate change. Part 1: benchmark estimates. Environ Resour Econ 21(1): 47-73.
44. Tol RS (2005) The marginal costs of carbon dioxide emissions: an assessment of the uncertainties. Energy Policy 33(16): 2064-2074.
45. Trenberth KE, Belward A, Brown O, Haberman E, Karl TR, Running S, Ryan B, Tanner M, Wielicki BA (2012) Challenges of a sustained climate observing system, in the monograph. In: Asrar GR, Hurrell JW (eds) Climate science for serving society: research, modelling and prediction priorities. Springer, New York.
46. USGCRP (2012) Our changing planet. http://library. globalchange. gov/our-changing-planet-2013.
47. Von Storch H, Zwiers FW (1999) Statistical analysis in climate research. Cambridge University Press, New York.
48. Weatherhead EC et al (1998) Factors affecting the detection of trends: statistical considerations and applications to environmental data. J Geophys Res 103: 17149-17161.
49. Webster M, Jakobovits L, Norton J (2008) Learning about climate change and implications for near-term policy. Clim Change 89: 67-85. doi: 10. 1007/s10584-008-9406-0.
50. Wielicki BA et al (2013) Achieving climate change absolute accuracy in orbit. Bull Am Meteorol Soc (in press).