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Corrigendum

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Citation

Sokolov, A. P. et al. “CORRIGENDUM.” J. Climate 23.8 (2010):

2230-2231. © 2010 American Meteorological Society

As Published

http://dx.doi.org/10.1175/2009jcli3566.1

Publisher

American Meteorological Society

Version

Final published version

Citable link

http://hdl.handle.net/1721.1/62297

Terms of Use

Article is made available in accordance with the publisher's

policy and may be subject to US copyright law. Please refer to the

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CORRIGENDUM

A. P. S

OKOLOV

, P. H. S

TONE

, C. E. F

OREST

,* R. P

RINN

, M. C. S

AROFIM

,1 M. W

EBSTER

,#

S. P

ALTSEV

,

AND

C. A. S

CHLOSSER

Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, Massachusetts

D. K

ICKLIGHTER

The Ecosystems Center, Marine Biological Laboratory, Woods Hole, Massachusetts

S. D

UTKIEWICZ

, J. R

EILLY

,

AND

C. W

ANG

Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, Massachusetts

B. F

ELZER

@

AND

J. M. M

ELILLO

The Ecosystems Center, Marine Biological Laboratory, Woods Hole, Massachusetts

H. D. J

ACOBY

Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, Massachusetts

(Manuscript received 7 December 2009, in final form 11 December 2009)

The simulations with economic uncertainty discussed in section 4b of Sokolov et al. (2009)

were, by mistake, carried out with the mean values of the input climate parameters instead

of the intended median values. While this mistake did not affect the resulting distributions of

atmospheric CO

2

and radiative forcing, it led to an upward shift in the distributions for the

changes in surface air temperature (SAT) and sea level rise. Correct distributions are shown

in Table 1 and in the revised version of Fig. 11. The ratios of the percentiles to the mean

shown in Table 2 of Sokolov et al. (2009) did not change.

REFERENCE

Sokolov, A., and Coauthors, 2009: Probabilistic forecast for twenty-first-century climate based on uncertainties in emissions (without policy) and climate parameters. J. Climate, 22, 5175–5204.

* Current affiliation: Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania. 1 AAAS Science and Technology Policy Fellow, Washington, D.C.

# Current affiliation: Engineering Systems Division, Massachusetts Institute of Technology, Cambridge, Massachusetts. @ Current affiliation: Department of Earth and Environmental Sciences, Lehigh University, Bethlehem, Pennsylvania.

Corresponding author address: Andrei Sokolov, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, 77 Massachusetts Ave., E40-431, Cambridge, MA 02139.

E-mail: sokolov@mit.edu

2230

J O U R N A L O F C L I M A T E VOLUME23

DOI: 10.1175/2009JCLI3566.1

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FIG. 11. Frequency distributions for (a) atmospheric CO2concentrations, (b) radiative forcing due to greenhouse

gases (GHGs) and sulfate aerosol, (c) surface air temperature, and (d) total sea level rise in simulations with full uncertainty (blue), climate uncertainty (green), and emissions uncertainty (red) averaged over 2041–50 (dashed lines) and 2091–2100 (solid lines).

TABLE1. Percentiles for distributions of surface warming and sea level rise for the last decade of the twenty-first century in the ensembles with full, climate, and emission uncertainties. SAT 5% 16.7% 50% 83.3% 95%

Full uncertainty 3.50 4.12 5.12 6.42 7.37 Emission uncertainty 3.95 4.42 5.16 6.04 6.56 Climate uncertainty 3.81 4.22 5.12 6.04 6.98 Sea level rise 5% 16.7% 50% 83.3% 95% Full uncertainty 29 35 44 55 63 Emission uncertainty 36 39 44 49 52 Climate uncertainty 29 35 43 53 60

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