caa a22 4500 60547415X CHVBK 20210128100346.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00382-014-2121-9 doi (NATIONALLICENCE)springer-10.1007/s00382-014-2121-9 Observed and SST-forced multidecadal variability in global land surface air temperature [Elektronische Daten] [L. Gao, Z. Yan, X. Quan] The characteristics of multidecadal variability (MDV) in global land surface air temperature (SAT) are analyzed based on observations. The role of sea surface temperature (SST) variations in generating MDV in land SAT is assessed using atmospheric general circulation model simulations forced by observed SST. MDV in land SAT exhibits regional differences, with amplitude larger than 0.3°C mainly over North America, East Asia, Northern Eurasia, Northern Africa and Greenland for the study period of 1902-2004. MDV can account for more than 30% of long-term temperature variation during the last century in most regions, especially more than 50% in parts of the above-mentioned regions. The SST-forced simulations reproduce the observed feature of zonal mean MDV in land SAT, though with weaker amplitude especially at the northern high-latitudes. Two types of MDV in land SAT, one of 60-year-timescale, mainly observed in the northern mid-high-latitude lands, and another of 20-30-year-timescale, mainly observed in the low-latitude lands, are also well reproduced. The SST-forced MDV accounts for more than 40% amplitude of observed MDV in most regions. Except for some sporadically distributed regions in central Eurasia, South America and Western Australia, the SST-forced multidecadal variations are well in-phase with observations. The Atlantic Multidecadal Oscillation and Pacific Decadal Oscillation signals are found dominant in MDV of both the observed and SST-forced land SAT, suggesting important roles of these oceanic oscillations in generating MDV in global land SAT. Springer-Verlag Berlin Heidelberg, 2014 Multidecadal variability nationallicence Ensemble empirical mode decomposition nationallicence Atmospheric general circulation model nationallicence Sea surface temperature nationallicence Gao L. Key Laboratory of Regional Climate-Environment for East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China aut Yan Z. Key Laboratory of Regional Climate-Environment for East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China aut Quan X. Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA aut Climate Dynamics Springer Berlin Heidelberg 44/1-2(2015-01-01), 359-369 0930-7575 44:1-2<359 2015 44 382 https://doi.org/10.1007/s00382-014-2121-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00382-014-2121-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Gao L. Key Laboratory of Regional Climate-Environment for East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China aut NATIONALLICENCE 700 1- Yan Z. Key Laboratory of Regional Climate-Environment for East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China aut NATIONALLICENCE 700 1- Quan X. Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA aut NATIONALLICENCE 773 0- Climate Dynamics Springer Berlin Heidelberg 44/1-2(2015-01-01), 359-369 0930-7575 44:1-2<359 2015 44 382