Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Samset, B. H.; Myhre, G.; Forster, P. M.; Hodnebrog, Ø.; Andrews, T.; Faluvegi, G.; Fläschner, D.; Kasoar, M.; Kharin, V.; Kirkevåg, A.; Lamarque, J.-F.; Olivié, D.; Richardson, T.; Shindell, D.; Shine, Keith; Takemura, T.; Voulgarakis, A. (2016)
Publisher: American Geophysical Union
Languages: English
Types: Article
Subjects: ALTITUDE, MD Multidisciplinary, PDRMIP, BLACK CARBON, climate drivers, HYDROLOGIC-CYCLE, Geology, DIOXIDE, SPREAD, Geosciences, Multidisciplinary, precipitation, Physical Sciences, Science & Technology, Meteorology & Atmospheric Sciences

Classified by OpenAIRE into

mesheuropmc: sense organs
Precipitation is expected to respond differently to various drivers of anthropogenic climate change. We present the first results from the Precipitation Driver and Response Model Intercomparison Project (PDRMIP), where nine global climate models have perturbed CO2, CH4, black carbon, sulfate, and solar insolation. We divide the resulting changes to global mean and regional precipitation into fast responses that scale with changes in atmospheric absorption and slow responses scaling with surface temperature change. While the overall features are broadly similar between models, we find significant regional intermodel variability, especially over land. Black carbon stands out as a component that may cause significant model diversity in predicted precipitation change. Processes linked to atmospheric absorption are less consistently modeled than those linked to top-of-atmosphere radiative forcing. We identify a number of land regions where the model ensemble consistently predicts that fast precipitation responses to climate perturbations dominate over the slow, temperature-driven responses.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Allen, M. R., and W. J. Ingram (2002), Nature, 419(6903), 224-232 Andrews, T., and P. M. Forster (2010), Environ Res Lett, 5(2), 025212, doi: 10.1088/1748- 9326/5/2/025212.
    • Andrews, T., J. M. Gregory, M. J. Webb, and K. E. Taylor (2012), Geophys Res Lett, 39, doi: Artn L09712 Doi 10.1029/2012gl051607.
    • Andrews, T., P. M. Forster, O. Boucher, N. Bellouin, and A. Jones (2010), Geophys Res Lett, 37(14), n/an/a, doi: 10.1029/2010gl043991.
    • Bala, G., K. Caldeira, and R. Nemani (2010), Climate Dynamics, 35(2-3), 423-434, doi: 10.1007/s00382- 009-0583-y.
    • Ban-Weiss, G. A., L. Cao, G. Bala, and K. Caldeira (2011), Climate Dynamics, 38(5-6), 897-911, doi: 10.1007/s00382-011-1052-y.
    • Bond, T. C., et al. (2013), Journal of Geophysical Research: Atmospheres, 118(11), 5380-5552, doi: 10.1002/jgrd.50171.
    • Bony, S., G. Bellon, D. Klocke, S. Sherwood, S. Fermepin, and S. Denvil (2013), Nature Geosci, 6(6), 447- 451, doi: 10.1038/ngeo1799 http://www.nature.com/ngeo/journal/v6/n6/abs/ngeo1799.html#supplementary-information. Boucher, O., D. Randall, P. Artaxo, C. Bretherton, G. Feingold, P. Forster, V.-M. Kerminen, Y. Kondo, H. Liao, U. Lohmann, P. Rasch, S.K. Satheesh, S. Sherwood, B. Stevens and X.Y. Zhang (2013), Clouds and Aerosols, in Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by T. F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley, pp. 571 658, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
  • No related research data.
  • Discovered through pilot similarity algorithms. Send us your feedback.

Share - Bookmark

Funded by projects

Cite this article