TY - JOUR
T1 - Pacific decadal oscillation remotely forced by the equatorial Pacific and the Atlantic Oceans
AU - Johnson, Zachary F.
AU - Chikamoto, Yoshimitsu
AU - Wang, S. Y.Simon
AU - McPhaden, Michael J.
AU - Mochizuki, Takashi
N1 - Funding Information:
The CESM experiment in this paper was conducted by the University of Southern California Center for High-Performance Computing and Communications (http://hpcc.usc.edu) and the high-performance computing support from Yellowstone (ark:/85065/d7wd3xhc) and Cheyenne (doi:10.5065/D6RX99HX) provided by NCAR’s Computational and Information Systems Laboratory sponsored by the National Science Foundation. The MIROC experiment was supported by the Japanese Ministry of Education, Culture, Sports, Science and Technology, through the Program for Risk Information on Climate Change. The simulations were performed with the Earth Simulator at the Japan Agency for Marine Earth Science and Technology (JAMSTEC). ERSSTv4, HadSST, and NCEP data sets are provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their website at http://www.esrl.noaa.gov/psd/ while ProjD was accessed from JAMSTEC. YC and SYS Wang are supported by the Utah Agricultural Experiment Station, Utah State University (approved as journal paper number 9320) and the Bureau of Reclamation (R18AC00018, R19AP00149). SYS Wang was supported by U.S. Department of Energy Award Number DE-SC0016605 and SERDP Award RC19-F1-1389. MJM is supported by NOAA (PMEL contribution no. 4977). TM was supported by JSPS KAKENHI Grant Numbers JP19H05703 and JP17K05661. Five anonymous reviewers provided helpful comments that improved the quality of this manuscript.
Funding Information:
The CESM experiment in this paper was conducted by the University of Southern California Center for High-Performance Computing and Communications ( http://hpcc.usc.edu ) and the high-performance computing support from Yellowstone (ark:/85065/d7wd3xhc) and Cheyenne (doi:10.5065/D6RX99HX) provided by NCAR’s Computational and Information Systems Laboratory sponsored by the National Science Foundation. The MIROC experiment was supported by the Japanese Ministry of Education, Culture, Sports, Science and Technology, through the Program for Risk Information on Climate Change. The simulations were performed with the Earth Simulator at the Japan Agency for Marine Earth Science and Technology (JAMSTEC). ERSSTv4, HadSST, and NCEP data sets are provided by the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, from their website at http://www.esrl.noaa.gov/psd/ while ProjD was accessed from JAMSTEC. YC and SYS Wang are supported by the Utah Agricultural Experiment Station, Utah State University (approved as journal paper number 9320) and the Bureau of Reclamation (R18AC00018, R19AP00149). SYS Wang was supported by U.S. Department of Energy Award Number DE-SC0016605 and SERDP Award RC19-F1-1389. MJM is supported by NOAA (PMEL contribution no. 4977). TM was supported by JSPS KAKENHI Grant Numbers JP19H05703 and JP17K05661. Five anonymous reviewers provided helpful comments that improved the quality of this manuscript.
Publisher Copyright:
© 2020, The Author(s).
PY - 2020/8/1
Y1 - 2020/8/1
N2 - The Pacific Decadal Oscillation (PDO), the leading mode of Pacific decadal sea surface temperature variability, arises mainly from combinations of regional air-sea interaction within the North Pacific Ocean and remote forcing, such as from the tropical Pacific and the Atlantic. Because of such a combination of mechanisms, a question remains as to how much PDO variability originates from these regions. To better understand PDO variability, the equatorial Pacific and the Atlantic impacts on the PDO are examined using several 3-dimensional partial ocean data assimilation experiments conducted with two global climate models: the CESM1.0 and MIROC3.2m. In these partial assimilation experiments, the climate models are constrained by observed temperature and salinity anomalies, one solely in the Atlantic basin and the other solely in the equatorial Pacific basin, but are allowed to evolve freely in other regions. These experiments demonstrate that, in addition to the tropical Pacific’s role in driving PDO variability, the Atlantic can affect PDO variability by modulating the tropical Pacific climate through two proposed processes. One is the equatorial pathway, in which tropical Atlantic sea surface temperature (SST) variability causes an El Niño-like SST response in the equatorial Pacific through the reorganization of the global Walker circulation. The other is the north tropical pathway, where low-frequency SST variability associated with the Atlantic Multidecadal Oscillation induces a Matsuno-Gill type atmospheric response in the tropical Atlantic-Pacific sectors north of the equator. These results provide a quantitative assessment suggesting that 12–29% of PDO variance originates from the Atlantic Ocean and 40–44% from the tropical Pacific. The remaining 27–48% of the variance is inferred to arise from other processes such as regional ocean-atmosphere interactions in the North Pacific and possibly teleconnections from the Indian Ocean.
AB - The Pacific Decadal Oscillation (PDO), the leading mode of Pacific decadal sea surface temperature variability, arises mainly from combinations of regional air-sea interaction within the North Pacific Ocean and remote forcing, such as from the tropical Pacific and the Atlantic. Because of such a combination of mechanisms, a question remains as to how much PDO variability originates from these regions. To better understand PDO variability, the equatorial Pacific and the Atlantic impacts on the PDO are examined using several 3-dimensional partial ocean data assimilation experiments conducted with two global climate models: the CESM1.0 and MIROC3.2m. In these partial assimilation experiments, the climate models are constrained by observed temperature and salinity anomalies, one solely in the Atlantic basin and the other solely in the equatorial Pacific basin, but are allowed to evolve freely in other regions. These experiments demonstrate that, in addition to the tropical Pacific’s role in driving PDO variability, the Atlantic can affect PDO variability by modulating the tropical Pacific climate through two proposed processes. One is the equatorial pathway, in which tropical Atlantic sea surface temperature (SST) variability causes an El Niño-like SST response in the equatorial Pacific through the reorganization of the global Walker circulation. The other is the north tropical pathway, where low-frequency SST variability associated with the Atlantic Multidecadal Oscillation induces a Matsuno-Gill type atmospheric response in the tropical Atlantic-Pacific sectors north of the equator. These results provide a quantitative assessment suggesting that 12–29% of PDO variance originates from the Atlantic Ocean and 40–44% from the tropical Pacific. The remaining 27–48% of the variance is inferred to arise from other processes such as regional ocean-atmosphere interactions in the North Pacific and possibly teleconnections from the Indian Ocean.
UR - http://www.scopus.com/inward/record.url?scp=85086107954&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85086107954&partnerID=8YFLogxK
U2 - 10.1007/s00382-020-05295-2
DO - 10.1007/s00382-020-05295-2
M3 - Article
AN - SCOPUS:85086107954
SN - 0930-7575
VL - 55
SP - 789
EP - 811
JO - Climate Dynamics
JF - Climate Dynamics
IS - 3-4
ER -