Statistics – Methodology
Scientific paper
Sep 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005georl..3218711s&link_type=abstract
Geophysical Research Letters, Volume 32, Issue 18, CiteID L18711
Statistics
Methodology
4
Global Change: Global Climate Models (3337, 4928), Global Change: General Or Miscellaneous
Scientific paper
Detection and attribution studies of observed surface temperature changes have served to consolidate our understanding of the climate system and its past and future behaviour. Most recent studies analysing up-to-date observations have relied on general circulation models (GCMs) to provide estimates of the responses to various external forcings. Here we revisit a methodology which instead estimates the responses using a simple model tuned directly to the observed record, paralleling a technique currently used with GCM output. The effects of greenhouse gases, tropospheric sulphate aerosols, and volcanic aerosols are all detected in the observed record, while the effects of solar irradiance are unclear. These results provide further observational constraints on past and future warming estimates consistent with those from recent studies with GCMs, supporting the notion that current estimates are robust against the modelling system used.
Allen Meghan Rose
Stone Dáithí A.
No associations
LandOfFree
Attribution of global surface warming without dynamical models does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Attribution of global surface warming without dynamical models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Attribution of global surface warming without dynamical models will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1287704