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Wang YL, Jin FF, Wu CR, Qiu B. Northwestern Pacific Oceanic circulation shaped by ENSO. Sci Rep 2024; 14:11684. [PMID: 38778066 PMCID: PMC11111802 DOI: 10.1038/s41598-024-62361-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Accepted: 05/16/2024] [Indexed: 05/25/2024] Open
Abstract
The intricate currents of the Northwest Pacific Ocean, with strong manifestations along the westside rim, connect tropical and subtropical gyres and significantly influence East Asian and global climates. The El Niño/Southern Oscillation (ENSO) originates in the tropical Pacific Ocean and disrupts this ocean circulation system. However, the spatiotemporal dependence of the impact of ENSO events has yet to be elucidated because of the complexities of both ENSO events and circulation systems, as well as the increased availability of observational data. We thus combined altimeter and drifter observations to demonstrate the distinct tropical and subtropical influences of the circulation system on ENSO diversity. During El Niño years, the North Equatorial Current, North Equatorial Countercurrent, Mindanao Current, Indonesian Throughflow, and the subtropical Kuroshio Current and its Extension region exhibit strengthening, while the tropical Kuroshio Current weakens. The tropical impact is characterized by sea level changes in the warm pool, whereas the subtropical influence is driven by variations in the wind stress curl. The tropical and subtropical influences are amplified during the Centra Pacific El Niño years compared to the Eastern Pacific El Niño years. As the globe warms, these impacts are anticipated to intensify. Thus, strengthening observation systems and refining climate models are essential for understanding and projecting the enhancing influences of ENSO on the Northwest Pacific Oceanic circulation.
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Affiliation(s)
- You-Lin Wang
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan.
| | - Fei-Fei Jin
- Department of Atmospheric Sciences, University of Hawaii at Manoa, Hawaii, USA
| | - Chau-Ron Wu
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan.
- Department of Earth Sciences, National Taiwan Normal University, Taipei, Taiwan.
| | - Bo Qiu
- Department of Oceanography, University of Hawaii at Manoa, Hawaii, USA
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Liu Y, Sun C, Li J, Kucharski F, Di Lorenzo E, Abid MA, Li X. Decadal oscillation provides skillful multiyear predictions of Antarctic sea ice. Nat Commun 2023; 14:8286. [PMID: 38092787 PMCID: PMC10719290 DOI: 10.1038/s41467-023-44094-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 11/29/2023] [Indexed: 12/17/2023] Open
Abstract
Over the satellite era, Antarctic sea ice exhibited an overall long-term increasing trend, contrary to the Arctic reduction under global warming. However, the drastic decline of Antarctic sea ice in 2014-2018 raises questions about its interannual and decadal-scale variabilities, which are poorly understood and predicted. Here, we identify an Antarctic sea ice decadal oscillation, exhibiting a quasi-period of 8-16 years, that is anticorrelated with the Pacific Quasi-Decadal Oscillation (r = -0.90). By combining observations, Coupled Model Intercomparison Project historical simulations, and pacemaker climate model experiments, we find evidence that the synchrony between the sea ice decadal oscillation and Pacific Quasi-Decadal Oscillation is linked to atmospheric poleward-propagating Rossby wave trains excited by heating in the central tropical Pacific. These waves weaken the Amundsen Sea Low, melting sea ice due to enhanced shortwave radiation and warm advection. A Pacific Quasi-Decadal Oscillation-based regression model shows that this tropical-polar teleconnection carries multi-year predictability.
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Affiliation(s)
- Yusen Liu
- State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Cheng Sun
- State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
| | - Jianping Li
- Frontiers Science Center for Deep Ocean Multi-spheres and Earth System (DOMES)/Key Laboratory of Physical Oceanography/Academy of Future Ocean/College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, China
- Laoshan Laboratory, Qingdao, China
| | - Fred Kucharski
- The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy
| | - Emanuele Di Lorenzo
- Department of Earth, Environmental, and Planetary Sciences, Brown University, Providence, RI, USA
| | - Muhammad Adnan Abid
- The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy
- Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
| | - Xichen Li
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
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Di Lorenzo E, Xu T, Zhao Y, Newman M, Capotondi A, Stevenson S, Amaya DJ, Anderson BT, Ding R, Furtado JC, Joh Y, Liguori G, Lou J, Miller AJ, Navarra G, Schneider N, Vimont DJ, Wu S, Zhang H. Modes and Mechanisms of Pacific Decadal-Scale Variability. ANNUAL REVIEW OF MARINE SCIENCE 2023; 15:249-275. [PMID: 36112981 DOI: 10.1146/annurev-marine-040422-084555] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The modes of Pacific decadal-scale variability (PDV), traditionally defined as statistical patterns of variance, reflect to first order the ocean's integration (i.e., reddening) of atmospheric forcing that arises from both a shift and a change in strength of the climatological (time-mean) atmospheric circulation. While these patterns concisely describe PDV, they do not distinguish among the key dynamical processes driving the evolution of PDV anomalies, including atmospheric and ocean teleconnections and coupled feedbacks with similar spatial structures that operate on different timescales. In this review, we synthesize past analysis using an empirical dynamical model constructed from monthly ocean surface anomalies drawn from several reanalysis products, showing that the PDV modes of variance result from two fundamental low-frequency dynamical eigenmodes: the North Pacific-central Pacific (NP-CP) and Kuroshio-Oyashio Extension (KOE) modes. Both eigenmodes highlight how two-way tropical-extratropical teleconnection dynamics are the primary mechanisms energizing and synchronizing the basin-scale footprint of PDV. While the NP-CP mode captures interannual- to decadal-scale variability, the KOE mode is linked to the basin-scale expression of PDV on decadal to multidecadal timescales, including contributions from the South Pacific.
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Affiliation(s)
- E Di Lorenzo
- Department of Earth, Environmental, and Planetary Sciences, Brown University, Providence, Rhode Island, USA;
| | - T Xu
- Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA
| | - Y Zhao
- Deep-Sea Multidisciplinary Research Center, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, China
| | - M Newman
- Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA
- Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, Colorado, USA
| | - A Capotondi
- Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA
- Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, Colorado, USA
| | - S Stevenson
- Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA
| | - D J Amaya
- Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA
| | - B T Anderson
- Department of Earth and Environment, Boston University, Boston, Massachusetts, USA
| | - R Ding
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
| | - J C Furtado
- School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA
| | - Y Joh
- Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey, USA
| | - G Liguori
- Department of Physics and Astronomy, University of Bologna, Bologna, Italy
- School of Earth, Atmosphere, and Environment, Monash University, Melbourne, Victoria, Australia
| | - J Lou
- Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA
- Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, Colorado, USA
| | - A J Miller
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA
| | - G Navarra
- Program in Ocean Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - N Schneider
- International Pacific Research Center and Department of Oceanography, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA
| | - D J Vimont
- Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - S Wu
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
| | - H Zhang
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, Texas, USA
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Multi-year El Niño events tied to the North Pacific Oscillation. Nat Commun 2022; 13:3871. [PMID: 35790767 PMCID: PMC9256710 DOI: 10.1038/s41467-022-31516-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 06/21/2022] [Indexed: 11/20/2022] Open
Abstract
Multi-year El Niño events induce severe and persistent floods and droughts worldwide, with significant socioeconomic impacts, but the causes of their long-lasting behaviors are still not fully understood. Here we present a two-way feedback mechanism between the tropics and extratropics to argue that extratropical atmospheric variability associated with the North Pacific Oscillation (NPO) is a key source of multi-year El Niño events. The NPO during boreal winter can trigger a Central Pacific El Niño during the subsequent winter, which excites atmospheric teleconnections to the extratropics that re-energize the NPO variability, then re-triggers another El Niño event in the following winter, finally resulting in persistent El Niño-like states. Model experiments, with the NPO forcing assimilated to constrain atmospheric circulation, reproduce the observed connection between NPO forcing and the occurrence of multi-year El Niño events. Future projections of Coupled Model Intercomparison Project phases 5 and 6 models demonstrate that with enhanced NPO variability under future anthropogenic forcing, more frequent multi-year El Niño events should be expected. We conclude that properly accounting for the effects of the NPO on the evolution of El Niño events may improve multi-year El Niño prediction and projection. The causes of long-lasting behaviors of multi-year El Niño are still not fully understood. Here, the authors find that persistent two-way teleconnections between the North Pacific Oscillation and the tropical Pacific constitute a key source of multi-year El Niño.
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High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension. REMOTE SENSING 2022. [DOI: 10.3390/rs14030575] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Sea SurfaceTemperature (SST) is a critical parameter for monitoring the marine environment and understanding various ocean phenomena. While SST can be regularly retrieved from satellite data, it often suffers from missing data due to various reasons including cloud contamination. In this study, we proposed a novel two-step data fusion framework for generating high-resolution seamless daily SST from multi-satellite data sources. The proposed approach consists of (1) SST reconstruction based on Data Interpolate Convolutional AutoEncoder (DINCAE) using the SSTs derived from two satellite sensors (i.e., Moderate Resolution Imaging Spectroradiometer (MODIS) and Advanced Microwave Scanning Radiometer 2(AMSR2)), and (2) SST improvement through data fusion using random forest for consistency with in situ measurements with two schemes (i.e., scheme 1 using the reconstructed MODIS SST variables and scheme 2 using both MODIS and AMSR2 SST variables). The proposed approach was evaluated over the Kuroshio Extension in the Northwest Pacific, where a highly dynamic SST pattern can be found, from 2015 to 2019. The results showed that the reconstructed MODIS and AMSR2 SSTs through DINCAE yielded very good performance with Root Mean Square Errors (RMSEs) of 0.85 and 0.60 °C and Mean Absolute Errors (MAEs) of 0.59 and 0.45 °C, respectively. The results from the second step showed that scheme 2 and scheme 1 produced RMSEs of 0.75 and 0.98 °C and MAEs of 0.53 and 0.68 °C, respectively, compared to the in situ measurements, which proved the superiority of scheme 2 using multi-satellite data sources. Scheme 2 also showed comparable or even better performance than two operational SST products with similar spatial resolution. In particular, scheme 2 was good at simulating features with fine resolution (~50 km). The proposed approach yielded promising results over the study area, producing seamless daily SST products with high quality and high feature resolution.
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