The practitioner's dilemma: How to assess the credibility of downscaled climate projections

Eos

Volumn 94, Issue 46, 2013, Pages 424-425

  Barsugli, Joseph J ^a   Guentchev, Galina ^b   Horton, Radley M ^c   Wood, Andrew ^b   Mearns, Linda O ^b   Liang, Xin Zhong ^d   Winkler, Julie A ^e   Dixon, Keith ^f   Hayhoe, Katharine ^g   Rood, Richard B ^h   Goddard, Lisa ⁱ   Ray, Andrea ^j   Buja, Lawrence ^b   Ammann, Caspar ^b  

^a UNIVERSITY OF COLORADO   (United States)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^c Howard Hughes Medical Institute   (United States)

^d UNIVERSITY OF MARYLAND   (United States)

^e MICHIGAN STATE UNIVERSITY   (United States)

^f NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^g TEXAS TECH UNIVERSITY   (United States)

^h UNIVERSITY OF MICHIGAN   (United States)

ⁱ Lamont Campus   (United States)

^j EARTH SYSTEM RESEARCH LABORATORY   (United States)

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Author keywords

[No Author keywords available]

Indexed keywords

EID: 84979057697     PISSN: 00963941     EISSN: 23249250     Source Type: Journal    
DOI: 10.1002/2013EO460005     Document Type: Review

References (3)

1. Cash, D., W. Clark, F. Alcock, N. Dickson, N. Eckley, and J. Jäger (2002), Salience, credibility, legitimacy and boundaries: Linking research, assessment and decision making, Faculty Res. Work. Pap. Ser. RWP02-046, 24 pp., John F. Kennedy Sch. of Gov., Harvard Univ., Cambridge, Mass.
2. Dixon, K., K. Hayhoe, J. Lanzante, A. Stoner, and A. Radhakrishnan (2013), Examining the stationarity assumption in statistical downscaling of climate projections: Is past performance an indication of future results?, paper presented at the 93rd American Meteorological Society Annual Meeting, Austin, Tex. [Available at https://ams.confex.com/ams/93Annual/webprogram/Paper221738.html].
3. Tang, S., and S. Dessai (2012), Usable science? The UK Climate Projections 2009 and decision support for adaptation planning, Weather Clim. Soc., 4, 300-313.