Publication Abstracts
Yao and Del Genio 1999
, and , 1999: Effects of cloud parameterization on the simulation of climate changes in the GISS GCM. J. Climate, 12, 761-779, doi:10.1175/1520-0442(1999)012<0761:EOCPOT>2.0.CO;2.
Climate changes obtained from doubled CO2 experiments with different parameterizations of large-scale clouds and moist convection are studied by use of the Goddard Institute for Space Studies (GISS) GCM at 4° lat × 5° long resolution. The baseline for the experiments is GISS Model II, which uses a diagnostic cloud scheme with fixed optical properties and a convection scheme with fixed cumulus mass fluxes and no downdrafts. The global and annual mean surface temperature change (ΔTs) of 4.2°C obtained by Hansen et al. using the Model II physics at 8° lat × 10° long resolution is reduced to 3.55°C at the finer resolution. This is due to a significant reduction of tropical cirrus clouds in the warmer climate when a finer resolution is used, despte the fact that relative humidity increases with a doubling of CO2. When the new moist convection parameterization of Del Genio and Yao and prognostic large-scale cloud parameterization of Del Genio et al. are used, ΔTs is reduced to 3.09°C from 3.55°C. This is the net result of the inclusion of the feedback of cloud optical thickness and phase change of clod water, and the presence of areally extensive cumulus anvil clouds. Without the optical thickness feedback, ΔTs is further reduced to 2.74°C, suggesting that this feedback is positive overall. Without anvil clouds, ΔTs is increased from 3.09° to 3.7°C, suggesting that anvil clouds of large optical thickness reduce the climate sensitivity. The net effect of using the new moist convection parameterization without anvil clouds is insignificant (from 3.55° to 3.56°C). However, this is a result of combination of many competing differences in other climate parameters. Despite the global cloud cover decrease simulated in most of the experiments, middle- and high-latitude continental cloudiness generally increases with warming, consistent with the sense of observed twentieth-century cloudiness trends; an indirect aerosol effect may therefore not be the sole explanation of these obervations.
An analysis of climate sensitivity and changes in cloud radiative forcing (CRF) indicates that the cloud feedback is positive overall in all experiments except the one using the new moist convection and large-scale cloud parameterization with prescribed cloud optical thickness, for which the cloud feedback is nearly neutral. Differences in ΔCRF among the different experiments cannot reliably be anticipated by the analogous differences in current climate CRF. The meridional distribution of ΔCRF suggests that the cloud feedback is positive mostly in the low and midlatitudes, but in the high latitudes, the cloud feedback is mostly negative and the amplification of ΔTs is due to other processes, such as snow/ice-albedo feedback and changes in the lapse rate. The authors' results sugget that when a sufficiently large variety of cloud feedback mechanisms are allowed for, significant cancellations between positive and negative feedbacks result, causing overall climate sensitivity to be less sensitive to uncertainties in poorly understood cloud physics. In particular, the positive low cloud optical thickness correlations with temperature observed in satellite data argue for a minimum climate sensitivity higher than the 1.5°C that is usually assumed.
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BibTeX Citation
@article{ya01000b,
author={Yao, M.-S. and Del Genio, A. D.},
title={Effects of cloud parameterization on the simulation of climate changes in the GISS GCM},
year={1999},
journal={Journal of Climate},
volume={12},
pages={761--779},
doi={10.1175/1520-0442(1999)012%3C0761%3AEOCPOT%3E2.0.CO;2},
}
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RIS Citation
TY - JOUR ID - ya01000b AU - Yao, M.-S. AU - Del Genio, A. D. PY - 1999 TI - Effects of cloud parameterization on the simulation of climate changes in the GISS GCM JA - J. Climate JO - Journal of Climate VL - 12 SP - 761 EP - 779 DO - 10.1175/1520-0442(1999)012%3C0761%3AEOCPOT%3E2.0.CO;2 ER -
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