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Ranasinghe PN, Hughen KA, Wijewardhana TUT, Ortiz JD, Kapuge AKIU, Ratnayake KM, Nanayakkara NU, Hewawasam ALT, Siriwardana YPS, Kodithuwakku S. Interplay of the Indian summer monsoon and intermonsoon precipitation in Sri Lanka due to ITCZ migration during the last 80000 years. Sci Rep 2024; 14:22178. [PMID: 39333150 PMCID: PMC11436829 DOI: 10.1038/s41598-024-71940-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: 03/18/2024] [Accepted: 09/02/2024] [Indexed: 09/29/2024] Open
Abstract
Precipitation variations in the tropical Indian Ocean region result from changes in the Indian Summer Monsoon (ISM), as well as convective and cyclonic rainfall. The relative roles of such forcing can be elucidated by constructing robust paleoclimate records, which help to better predict future variability in precipitation due to rising greenhouse gases. This study was carried out using a suite of paleoclimate proxies on a combination of marine and terrestrial sediment cores from Sri Lanka. The sites receive differing amounts of precipitation from the ISM versus convective and cyclone-driven intermonsoon rainfall and allow differentiation of precipitation sources through time. The constructed 80000-year-long precipitation record for the ISM-dominant regions of Sri Lanka shows strong sensitivity to orbital scale insolation variations as well as to millennial-scale events in the North Atlantic region. This precipitation response to external and internal forcings is a result of the combined effects of ISM and Intermonsoon intensity either of which dominated periodically. The strong positive correlation between different periods in the precipitation record and different monthly insolation curves shows that changes in solar insolation due to precession decide the dominant rainfall mechanism in the region, suggesting the ISM dominated after 13 ka (MIS1) while the first intermonsoon dominated between 29 and 13 ka (MIS2) and the second intermonsoon dominated period between 77 and 40 ka.
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Affiliation(s)
- P N Ranasinghe
- Lake Superior State University, Sault Ste. Marie, USA.
- Woods Hole Oceanographic Institution, Woods Hole, USA.
- University of Ruhuna, Matara, Sri Lanka.
| | - K A Hughen
- Woods Hole Oceanographic Institution, Woods Hole, USA
| | | | | | - A K I U Kapuge
- University of Peradeniya, Peradeniya, Sri Lanka
- University of Delaware, Newark, USA
| | | | - N U Nanayakkara
- University of Peradeniya, Peradeniya, Sri Lanka
- University of Salamanca, Salamanca, Spain
| | | | | | - S Kodithuwakku
- University of Ruhuna, Matara, Sri Lanka
- University of Western Australia, Perth, Australia
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Reboita MS, Ambrizzi T, Crespo NM, Dutra LMM, Ferreira GWDS, Rehbein A, Drumond A, da Rocha RP, Souza CAD. Impacts of teleconnection patterns on South America climate. Ann N Y Acad Sci 2021; 1504:116-153. [PMID: 33914367 DOI: 10.1111/nyas.14592] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 02/16/2021] [Accepted: 02/24/2021] [Indexed: 11/29/2022]
Abstract
Oceanic heat sources disturb the atmosphere, which, to come back to its initial state, disperses waves. These waves affect the climate in remote regions, characterizing the teleconnection patterns. In this study, we describe eight teleconnection patterns that affect South America climate: the El Niño-Southern Oscillation (ENSO), the Pacific Decadal Oscillation (PDO), the Atlantic Multidecadal Oscillation (AMO), the Tropical Atlantic Dipole (TAD), the South Atlantic Dipole (SAD), the Southern Annular Mode (SAM), the Madden-Julian Oscillation (MJO), and the Indian Ocean Dipole (IOD). Precipitation and winds at 850-hPa anomalies, considering these teleconnection patterns in ENSO neutral periods, are also presented. Overall, southeastern South America and the north sector of the North and Northeast regions of Brazil are the most affected areas by the teleconnection patterns. In general, there is a precipitation dipole pattern between these regions during each teleconnection pattern.
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Affiliation(s)
| | - Tércio Ambrizzi
- Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Natália Machado Crespo
- Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Lívia Márcia Mosso Dutra
- Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, São Paulo, SP, Brazil
| | | | - Amanda Rehbein
- Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Anita Drumond
- Instituto de Ciências Ambientais, Químicas e Farmacêuticas, Universidade Federal de São Paulo, Diadema, SP, Brazil
| | - Rosmeri Porfírio da Rocha
- Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, São Paulo, SP, Brazil
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Harapan H, Yufika A, Anwar S, Te H, Hasyim H, Nusa R, Dhewantara PW, Mudatsir M. Effects of El Niño Southern Oscillation and Dipole Mode Index on Chikungunya Infection in Indonesia. Trop Med Infect Dis 2020; 5:E119. [PMID: 32708686 PMCID: PMC7558115 DOI: 10.3390/tropicalmed5030119] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 07/02/2020] [Indexed: 11/16/2022] Open
Abstract
The aim of this study was to assess the possible association of El Niño Southern Oscillation (ENSO) and Dipole Mode Index (DMI) on chikungunya incidence overtime, including the significant reduction in cases that was observed in 2017 in Indonesia. Monthly nation-wide chikungunya case reports were obtained from the Indonesian National Disease Surveillance database, and incidence rates (IR) and case fatality rate (CFR) were calculated. Monthly data of Niño3.4 (indicator used to represent the ENSO) and DMI between 2011 and 2017 were also collected. Correlations between monthly IR and CFR and Niño3.4 and DMI were assessed using Spearman's rank correlation. We found that chikungunya case reports declined from 1972 cases in 2016 to 126 cases in 2017, a 92.6% reduction; the IR reduced from 0.67 to 0.05 cases per 100,000 population. No deaths associated with chikungunya have been recorded since its re-emergence in Indonesia in 2001. There was no significant correlation between monthly Niño3.4 and chikungunya incidence with r = -0.142 (95%CI: -0.320-0.046), p = 0.198. However, there was a significant negative correlation between monthly DMI and chikungunya incidence, r = -0.404 (95%CI: -0.229--0.554) with p < 0.001. In conclusion, our initial data suggests that the climate variable, DMI but not Niño3.4, is likely associated with changes in chikungunya incidence. Therefore, further analysis with a higher resolution of data, using the cross-wavelet coherence approach, may provide more robust evidence.
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Affiliation(s)
- Harapan Harapan
- Medical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia; (A.Y.); (M.M.)
- Department of Microbiology, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia
- Tropical Disease Centre, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia
| | - Amanda Yufika
- Medical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia; (A.Y.); (M.M.)
- Department of Family Medicine, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia
| | - Samsul Anwar
- Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia;
| | - Haypheng Te
- Siem Reap Provincial Health Department, Ministry of Health, Siem Reap 1710, Cambodia;
| | - Hamzah Hasyim
- Faculty of Public Health, Sriwijaya University, Indralaya, South Sumatra 30862, Indonesia;
| | - Roy Nusa
- Vector-Borne Disease Control, Research and Development Council, Ministry of Health, Jakarta 10560, Indonesia;
| | - Pandji Wibawa Dhewantara
- Pangandaran Unit of Health Research and Development, National Institute of Health Research and Development (NIHRD), Ministry of Health of Indonesia, West Java 46396, Indonesia;
- UQ Spatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia
| | - Mudatsir Mudatsir
- Medical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia; (A.Y.); (M.M.)
- Department of Microbiology, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia
- Tropical Disease Centre, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh 23111, Indonesia
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Climate Based Predictability of Oil Palm Tree Yield in Malaysia. Sci Rep 2018; 8:2271. [PMID: 29396527 PMCID: PMC5797103 DOI: 10.1038/s41598-018-20298-0] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Accepted: 01/12/2018] [Indexed: 11/23/2022] Open
Abstract
The influence of local conditions and remote climate modes on the interannual variability of oil palm fresh fruit bunches (FFB) total yields in Malaysia and two major regions (Peninsular Malaysia and Sabah/Sarawak) is explored. On a country scale, the state of sea-surface temperatures (SST) in the tropical Pacific Ocean during the previous boreal winter is found to influence the regional climate. When El Niño occurs in the Pacific Ocean, rainfall in Malaysia reduces but air temperature increases, generating a high level of water stress for palm trees. As a result, the yearly production of FFB becomes lower than that of a normal year since the water stress during the boreal spring has an important impact on the total annual yields of FFB. Conversely, La Niña sets favorable conditions for palm trees to produce more FFB by reducing chances of water stress risk. The region of the Leeuwin current also seems to play a secondary role through the Ningaloo Niño/ Niña in the interannual variability of FFB yields. Based on these findings, a linear model is constructed and its ability to reproduce the interannual signal is assessed. This model has shown some skills in predicting the total FFB yield.
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A new dipole index of the salinity anomalies of the tropical Indian Ocean. Sci Rep 2016; 6:24260. [PMID: 27052319 PMCID: PMC4823653 DOI: 10.1038/srep24260] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 03/23/2016] [Indexed: 11/08/2022] Open
Abstract
With the increased interest in studying the sea surface salinity anomaly (SSSA) of the tropical Indian Ocean during the Indian Ocean Dipole (IOD), an index describing the dipole variability of the SSSA has been pursued recently. In this study, we first use a regional ocean model with a high spatial resolution to produce a high-quality salinity simulation during the period from 1982 to 2014, from which the SSSA dipole structure is identified for boreal autumn. On this basis, by further analysing the observed data, we define a dipole index of the SSSA between the central equatorial Indian Ocean (CEIO: 70°E-90°E, 5°S-5°N) and the region off the Sumatra-Java coast (SJC: 100°E-110°E, 13°S-3°S). Compared with previous SSSA dipole indices, this index has advantages in detecting the dipole signals and in characterizing their relationship to the sea surface temperature anomaly (SSTA) dipole variability. Finally, the mechanism of the SSSA dipole is investigated by dynamical diagnosis. It is found that anomalous zonal advection dominates the SSSA in the CEIO region, whereas the SSSA in the SJC region are mainly influenced by the anomalous surface freshwater flux. This SSSA dipole provides a positive feedback to the formation of the IOD events.
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Weller E, Cai W, Min SK, Wu L, Ashok K, Yamagata T. More-frequent extreme northward shifts of eastern Indian Ocean tropical convergence under greenhouse warming. Sci Rep 2014; 4:6087. [PMID: 25124737 PMCID: PMC5381411 DOI: 10.1038/srep06087] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2014] [Accepted: 07/29/2014] [Indexed: 11/23/2022] Open
Abstract
The Intertropical Convergence Zone (ITCZ) in the tropical eastern Indian Ocean exhibits strong interannual variability, often co-occurring with positive Indian Ocean Dipole (pIOD) events. During what we identify as an extreme ITCZ event, a drastic northward shift of atmospheric convection coincides with an anomalously strong north-minus-south sea surface temperature (SST) gradient over the eastern equatorial Indian Ocean. Such shifts lead to severe droughts over the maritime continent and surrounding islands but also devastating floods in southern parts of the Indian subcontinent. Understanding future changes of the ITCZ is therefore of major scientific and socioeconomic interest. Here we find a more-than-doubling in the frequency of extreme ITCZ events under greenhouse warming, estimated from climate models participating in the Coupled Model Intercomparison Project phase 5 that are able to simulate such events. The increase is due to a mean state change with an enhanced north-minus-south SST gradient and a weakened Walker Circulation, facilitating smaller perturbations to shift the ITCZ northwards.
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Affiliation(s)
- Evan Weller
- 1] CSIRO Marine and Atmospheric Research, Aspendale, Victoria, Australia [2] School of Environmental Science &Engineering, POSTECH, Pohang, Korea
| | - Wenju Cai
- 1] CSIRO Marine and Atmospheric Research, Aspendale, Victoria, Australia [2] Physical Oceanography Laboratory, Qingdao Collaborative Innovation Center of Marine Science and Technology, Ocean University of China, Qingdao, China
| | - Seung-Ki Min
- School of Environmental Science &Engineering, POSTECH, Pohang, Korea
| | - Lixin Wu
- Physical Oceanography Laboratory, Qingdao Collaborative Innovation Center of Marine Science and Technology, Ocean University of China, Qingdao, China
| | - Karumuri Ashok
- Centre for Climate Change Research, Indian Institute of Tropical Meteorology Pashan, Pune - 411 008, India
| | - Toshio Yamagata
- Application Laboratory, JAMSTEC, 3173-25 Showa-machi, Kanazawa-ku, Yokohama 236-0001, Japan
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