On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models
-
Published:2016-03-04
Issue:5
Volume:16
Page:2765-2783
-
ISSN:1680-7324
-
Container-title:Atmospheric Chemistry and Physics
-
language:en
-
Short-container-title:Atmos. Chem. Phys.
Author:
Zhang ShipengORCID, Wang MinghuaiORCID, Ghan Steven J., Ding AijunORCID, Wang Hailong, Zhang KaiORCID, Neubauer DavidORCID, Lohmann UlrikeORCID, Ferrachat Sylvaine, Takeamura ToshihikoORCID, Gettelman AndrewORCID, Morrison Hugh, Lee Yunha, Shindell Drew T.ORCID, Partridge Daniel G., Stier PhilipORCID, Kipling ZakORCID, Fu Congbin
Abstract
Abstract. Aerosol–cloud interactions continue to constitute a major source of uncertainty for the estimate of climate radiative forcing. The variation of aerosol indirect effects (AIE) in climate models is investigated across different dynamical regimes, determined by monthly mean 500 hPa vertical pressure velocity (ω500), lower-tropospheric stability (LTS) and large-scale surface precipitation rate derived from several global climate models (GCMs), with a focus on liquid water path (LWP) response to cloud condensation nuclei (CCN) concentrations. The LWP sensitivity to aerosol perturbation within dynamic regimes is found to exhibit a large spread among these GCMs. It is in regimes of strong large-scale ascent (ω500 < −25 hPa day−1) and low clouds (stratocumulus and trade wind cumulus) where the models differ most. Shortwave aerosol indirect forcing is also found to differ significantly among different regimes. Shortwave aerosol indirect forcing in ascending regimes is close to that in subsidence regimes, which indicates that regimes with strong large-scale ascent are as important as stratocumulus regimes in studying AIE. It is further shown that shortwave aerosol indirect forcing over regions with high monthly large-scale surface precipitation rate (> 0.1 mm day−1) contributes the most to the total aerosol indirect forcing (from 64 to nearly 100 %). Results show that the uncertainty in AIE is even larger within specific dynamical regimes compared to the uncertainty in its global mean values, pointing to the need to reduce the uncertainty in AIE in different dynamical regimes.
Funder
Biological and Environmental Research
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference88 articles.
1. Abel, S. J. and Boutle, I. A.: An improved representation of the raindrop
size distribution for single-moment microphysics schemes, Q. J. Roy. Meteor.
Soc., 138, 2151–2162, https://doi.org/10.1002/qj.1949, 2012. 2. Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation 2.
Multiple aerosol types, J. Geophys. Res., 105, 6837–6844, 2000. 3. Ackerman, A. S., Kirkpatrick, M. P., Stevens, D. E., and Toon, O. B.: The
impact of humidity above stratiform clouds on indirect aerosol climate
forcing, Nature, 432, 1014–1017, https://doi.org/10.1038/nature03174, 2004. 4. Albrecht, B. A.: Aerosols, cloud microphysics, and fractional cloudiness,
Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989. 5. Andreae, M. O., Rosenfeld, D., Artaxo, P., Costa, A. A., Frank, G. P., Longo,
K. M., and Silva-Dias, M. A. F.: Smoking rain clouds over the Amazon,
Science, 303, 1337–1342, https://doi.org/10.1126/science.1092779, 2004.
Cited by
66 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|