Variability is one of the most salient features of the earth's climate, yet
quantitative policy studies have generally ignored the impact of variabili
ty on society's best choice of climate-change policy. This omission is trou
bling because an adaptive emissions-reduction strategy, one that adjusts ab
atement rates over time based on observations of damages and abatement cost
s, should perform much better against extreme uncertainty than static, best
-estimate policies. However, climate variability can strongly affect the su
ccess of adaptive-abatement strategies by masking adverse trends or fooling
society into taking too strong an action. This study compares the performa
nce of a wide variety of adaptive greenhouse-gas-abatement strategies again
st a broad range of plausible future climate-change scenarios. We find that
: i) adaptive strategies remain preferable to static, best-estimate policie
s even with very large levels of climate variability; ii) the most robust s
trategies are innovation sensitive, that is, adjust future emissions reduct
ion rates on the basis of small changes in observed abatement costs but onl
y for large changes in observed damages; and iii) information about the siz
e of the variability is about a third to an eighth as valuable as informati
on determining the value of the key parameters that represent the long-term
, future climate-change state-of-the-world.