Revisiting Whether Recent Surface Temperature Trends Agree with the CMIP5 Ensemble
Author(s) -
Marena Lin,
Peter Huybers
Publication year - 2016
Publication title -
journal of climate
Language(s) - English
Resource type - Journals
eISSN - 1520-0442
pISSN - 0894-8755
DOI - 10.1175/jcli-d-16-0123.1
Subject(s) - coupled model intercomparison project , climatology , climate model , environmental science , estimator , ensemble average , divergence (linguistics) , mean radiant temperature , metric (unit) , consistency (knowledge bases) , climate change , statistics , mathematics , geology , linguistics , oceanography , philosophy , operations management , economics , geometry
In an earlier study, a weaker trend in global mean temperature over the past 15 years relative to the preceding decades was characterized as significantly lower than those contained within the phase 5 of the Coupled Model Intercomparison Project (CMIP5) ensemble. In this study, divergence between model simulations and observations is estimated using a fixed-intercept linear trend with a slope estimator that has one-third the noise variance compared to simple linear regression. Following the approach of the earlier study, where intermodel spread is used to assess the distribution of trends, but using the fixed-intercept trend metric demonstrates that recently observed trends in global mean temperature are consistent () with the CMIP5 ensemble for all 15-yr intervals of observation–model divergence since 1970. Significant clustering of global trends according to modeling center indicates that the spread in CMIP5 trends is better characterized using ensemble members drawn across models as opposed to ...
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom