It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
A positive Indian Ocean Dipole features an anomalously high west-minus-east sea surface temperature gradient along the equatorial Indian Ocean, affecting global extreme weathers. Whether the associated impact spills over to global economies is unknown. Here, we develop a nonlinear and country-heterogenous econometric model, and find that a typical positive event causes a global economic loss that increases for further two years after an initial shock, inducing a global loss of hundreds of billion US dollars, disproportionally greater to the developing and emerging economies. The loss from the 2019 positive event amounted to US$558B, or 0.67% in global economic growth. Benefit from a negative dipole event is far smaller. Under a high-emission scenario, a projected intensification in Dipole amplitude causes a median additional loss of US$5.6 T at a 3% discount rate, but likely as large as US$24.5 T. The additional loss decreases by 64% under the target of the Paris Agreement.
The authors find a nonlinear, multiyear-long and country-heterogeneous economic loss induced by the Indian Ocean Dipole. Under a high emission scenario, the amplitude of the dipole is increasing, causing additional financial losses in the 21st century.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details




1 Ocean University of China, Frontiers Science Center for Deep Ocean Multispheres and Earth System/Physical Oceanography Laboratory/Sanya Oceanographic Institution, Qingdao, China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263); CSIRO Environment, Hobart, Australia (GRID:grid.4422.0); Xiamen University, State Key Laboratory of Marine Environmental Science & College of Ocean and Earth Sciences, Xiamen, China (GRID:grid.12955.3a) (ISNI:0000 0001 2264 7233); Chinese Academy of Sciences, State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Xi’an, China (GRID:grid.9227.e) (ISNI:0000000119573309)
2 Ocean University of China, Frontiers Science Center for Deep Ocean Multispheres and Earth System/Physical Oceanography Laboratory/Sanya Oceanographic Institution, Qingdao, China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263); CSIRO Environment, Hobart, Australia (GRID:grid.4422.0)
3 Ocean University of China, Frontiers Science Center for Deep Ocean Multispheres and Earth System/Physical Oceanography Laboratory/Sanya Oceanographic Institution, Qingdao, China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263); Laoshan Laboratory, Qingdao, China (GRID:grid.4422.0)
4 Ocean University of China, School of Management, Qingdao, China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263)
5 Black Mountain, CSIRO Environment, Canberra, Australia (GRID:grid.4422.0) (ISNI:0000 0000 9917 4633)