Volcano and ship tracks indicate excessive aerosol-induced cloud water increases in a climate model

[thumbnail of Toll_et_al-2017-Geophysical_Research_Letters.pdf]
Preview
Text - Published Version
· Please see our End User Agreement before downloading.
| Preview
[thumbnail of Permanent Publisher Embargo]
Text (Permanent Publisher Embargo) - Accepted Version
· Restricted to Repository staff only
Restricted to Repository staff only

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Toll, V., Christensen, M., Gassó, S. and Bellouin, N. orcid id iconORCID: https://orcid.org/0000-0003-2109-9559 (2017) Volcano and ship tracks indicate excessive aerosol-induced cloud water increases in a climate model. Geophysical Research Letters, 44 (24). pp. 12492-12500. ISSN 0094-8276 doi: 10.1002/2017GL075280

Abstract/Summary

Aerosol-cloud interaction is the most uncertain mechanism of anthropogenic radiative forcing of Earth’s climate, and aerosol-induced cloud water changes are particularly poorly constrained in climate models. By combining satellite retrievals of volcano and ship tracks in stratocumulus clouds, we compile a unique observational dataset and confirm that liquid water path (LWP) responses to aerosols are bidirectional, and on average the increases in LWP are closely compensated by the decreases. Moreover, the meteorological parameters controlling the LWP responses are strikingly similar between the volcano and ship tracks. In stark contrast to observations, there are substantial unidirectional increases in LWP in the Hadley Centre climate model, because the model accounts only for the decreased precipitation efficiency and not for the enhanced entrainment drying. If the LWP increases in the model were compensated by the decreases as the observations suggest, its indirect aerosol radiative forcing in stratocumulus regions would decrease by 45%.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/74260
Identification Number/DOI 10.1002/2017GL075280
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher American Geophysical Union
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar