Open AccessMulti‐parameter multi‐physics ensemble ( MPMPE ): a new approach exploring the uncertainties of climate sensitivity
Author(s) -
Shiogama Hideo,
Watanabe Masahiro,
Ogura Tomoo,
Yokohata Tokuta,
Kimoto Masahide
Publication year - 2013
Publication title -
atmospheric science letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 45
ISSN - 1530-261X
DOI - 10.1002/asl2.472
Subject(s) - sensitivity (control systems) , gcm transcription factors , parametric statistics , statistical physics , climate sensitivity , physics , range (aeronautics) , ensemble forecasting , climate model , general circulation model , shortwave , meteorology , climate change , mathematics , statistics , aerospace engineering , quantum mechanics , radiative transfer , engineering , geology , oceanography , electronic engineering
To explore both the parametric and structural uncertainties of climate sensitivity ( CS ), we have proposed a new general circulation model ( GCM ) ensemble termed the multi‐parameter multi‐physics ensemble ( MPMPE ). We used eight multi‐physics ensemble ( MPE ) models in which the MIROC5 physics schemes were replaced by those of MIROC3 . MPMPE consisted of perturbed‐physics ensembles in which the parameter values were swept for each MPE model. MPMPE resulted in a wide range of CS , which was related to the shortwave cloud feedback ( SWcld ). Coupling between low‐ and mid‐level clouds controlled the differences in the parametric spread of SWcld among the MPE models.