$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

[해외논문] Skillful prediction of tropical Pacific fisheries provided by Atlantic Niños 원문보기

Environmental research letters : ERL, v.16 no.5, 2021년, pp.054066 -   

Gómara, Iñigo ,  Rodríguez-Fonseca, Belén ,  Mohino, Elsa ,  Losada, Teresa ,  Polo, Irene ,  Coll, Marta

Abstract AI-Helper 아이콘AI-Helper

AbstractTropical Pacific upwelling-dependent ecosystems are the most productive and variable worldwide, mainly due to the influence of El Niño Southern Oscillation (ENSO). ENSO can be forecasted seasons ahead thanks to assorted climate precursors (local-Pacific processes, pantropical interact...

참고문헌 (75)

  1. 10.4060/ca9229en 2020 

  2. J. Mar. Syst. Drinkwater 10.1016/j.jmarsys.2008.12.014 79 374 2010 On the processes linking climate to ecosystem changes 

  3. J. Mar. Syst. Ottersen 10.1016/j.jmarsys.2008.12.013 79 343 2010 Major pathways by which climate may force marine fish populations 

  4. Philander ix, 293 1990 

  5. Science McPhaden 10.1126/science.1132588 314 1740 2006 ENSO as an integrating concept in earth science 

  6. Bertrand 2020 El Nino Southern Oscillation (ENSO) effects on fisheries and aquaculture 

  7. Nature Boyce 10.1038/nature09268 466 591 2010 Global phytoplankton decline over the past century 

  8. Proc. Natl Acad. Sci. Seferian 10.1073/pnas.1315855111 111 11646 2014 Multiyear predictability of tropical marine productivity 

  9. Prog. Oceanogr. Polovina 10.1016/j.pocean.2015.01.006 150 79 2017 The Transition Zone Chlorophyll Front updated: advances from a decade of research 

  10. Bull. Am. Meteorol. Soc. Brainard 10.1175/BAMS-D-17-0128.1 99 S21-S6 2018 Ecological impacts of the 2015/16 El Nino in the central equatorial Pacific 

  11. Science Chavez 10.1126/science.286.5447.2126 286 2126 1999 Biological and chemical response of the equatorial Pacific Ocean to the 1997-98 El Nino 

  12. Bull. Am. Meteorol. Soc. Barnston 10.1175/BAMS-D-11-00111.1 93 631 2012 Skill of real-time seasonal ENSO model predictions during 2002-11: is our capability increasing? 

  13. J. Clim. Meinen 10.1175/1520-0442(2000)013<3551:OOWWVC>2.0.CO;2 13 3551 2000 Observations of warm water volume changes in the equatorial Pacific and their relationship to El Nino and La Nina 

  14. J. Clim. Harrison 10.1175/JCLI-D-14-00227.1 28 776 2015 Equatorial Pacific easterly wind surges and the onset of La Nina Events* 

  15. Science Cai 10.1126/science.aav4236 363 eaav4236 2019 Pantropical climate interactions 

  16. Geophys. Res. Lett. Rodriguez-Fonseca 10.1029/2009GL040048 36 2009 Are Atlantic Ninos enhancing Pacific ENSO events in recent decades? 

  17. Clim. Dyn. Losada 10.1007/s00382-009-0624-6 35 45 2010 Tropical response to the Atlantic equatorial mode: AGCM multimodel approach 

  18. Clim. Dyn. Ding 10.1007/s00382-011-1097-y 38 1965 2012 Impact of the equatorial Atlantic on the El Nino Southern Oscillation 

  19. Nat. Geosci. Ham 10.1038/ngeo1686 6 112 2013 Sea surface temperature in the north tropical Atlantic as a trigger for El Nino/Southern Oscillation events 

  20. Nat. Clim. Change McGregor 10.1038/nclimate2330 4 888 2014 Recent Walker circulation strengthening and Pacific cooling amplified by Atlantic warming 

  21. Clim. Dyn. Dommenget 10.1007/s00382-016-3472-1 49 2605 2016 The effects of remote SST forcings on ENSO dynamics, variability and diversity 

  22. J. Clim. Zebiak 10.1175/1520-0442(1993)006<1567:AIITEA>2.0.CO;2 6 1567 1993 Air-sea interaction in the equatorial Atlantic Region 

  23. Geophys. Res. Lett. Ham 10.1002/grl.50729 40 4012 2013 Two distinct roles of Atlantic SSTs in ENSO variability: north tropical Atlantic SST and Atlantic Nino 

  24. J. Geophys. Res. Oceans Enfield 10.1029/96JC03296 102 929 1997 Tropical Atlantic sea surface temperature variability and its relation to El Nino-Southern Oscillation 

  25. Nature Saji 10.1038/43854 401 360 1999 A dipole mode in the tropical Indian Ocean 

  26. Geophys. Res. Lett. Yang 10.1029/2006GL028571 34 2007 Impact of the Indian Ocean SST basin mode on the Asian summer monsoon 

  27. J. Clim. Latif 10.1175/1520-0442(1995)008<0952:IOTTO>2.0.CO;2 8 952 1995 Interactions of the tropical oceans 

  28. Geophys. Res. Lett. Wang 10.1029/2006GL026324 33 2006 An overlooked feature of tropical climate: inter-Pacific-Atlantic variability 

  29. J. Clim. Kug 10.1175/JCLI3660.1 19 1784 2006 Interactive feedback between ENSO and the Indian Ocean 

  30. Nat. Geosci. Izumo 10.1038/ngeo760 3 168 2010 Influence of the state of the Indian Ocean Dipole on the following year’s El Nino 

  31. Clim. Dyn. Polo 10.1007/s00382-014-2354-7 44 115 2015 Processes in the Pacific La Nina onset triggered by the Atlantic Nino 

  32. Geophys. Res. Lett. Martin­Rey 10.1002/2015GL065062 42 6802 2015 Atlantic opportunities for ENSO prediction 

  33. Rev. Fish Biol. Fish. Myers 10.1023/A:1008828730759 8 285 1998 When do environment-recruitment correlations work? 

  34. Prog. Oceanogr. Stock 10.1016/j.pocean.2015.06.007 137 219 2015 Seasonal sea surface temperature anomaly prediction for coastal ecosystems 

  35. Fish. Oceanogr. Hobday 10.1111/fog.12083 25 45 2016 Seasonal forecasting for decision support in marine fisheries and aquaculture 

  36. Science Park 10.1126/science.aav6634 365 284 2019 Seasonal to multiannual marine ecosystem prediction with a global Earth system model 

  37. Proc. Natl Acad. Sci. Di Lorenzo 10.1073/pnas.1218022110 110 2496 2013 A double-integration hypothesis to explain ocean ecosystem response to climate forcing 

  38. Clim. Dyn. Ham 10.1007/s00382-020-05403-2 56 45 2021 Mechanism of skillful seasonal surface chlorophyll prediction over the southern Pacific using a global earth system model 

  39. J. Phys. Oceanogr. Doney 10.1175/JPO3089.1 37 1918 2007 Mechanisms governing interannual variability of upper-ocean temperature in a global ocean hindcast simulation 

  40. Nat. Clim. Change Wang 10.1038/nclimate2118 4 201 2014 A global perspective on CMIP5 climate model biases 

  41. Clim. Dyn. Kucharski 10.1007/s00382-014-2228-z 44 881 2014 Tropical Atlantic influence on Pacific variability and mean state in the twentieth century in observations and CMIP5 

  42. Geosci. Model Dev. Tittensor 10.5194/gmd-11-1421-2018 11 1421 2018 A protocol for the intercomparison of marine fishery and ecosystem models: fish-MIP v1.0 

  43. Pauly 2020 

  44. J. Geophys. Res. Atmos. Rayner 10.1029/2002JD002670 108 D14, 4407 2003 Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century 

  45. Prog. Oceanogr. Stock 10.1016/j.pocean.2013.07.001 120 1 2014 Global-scale carbon and energy flows through the marine planktonic food web: an analysis with a coupled physical-biological model 

  46. Griffies 2012 

  47. Clim. Dyn. Large 10.1007/s00382-008-0441-3 33 341 2009 The global climatology of an interannually varying air-sea flux data set 

  48. Bull. Am. Meteorol. Soc. Kalnay 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2 77 437 1996 The NCEP/NCAR 40-Year Reanalysis Project 

  49. Ocean Model. Danabasoglu 10.1016/j.ocemod.2015.11.007 97 65 2016 North Atlantic simulations in coordinated ocean-ice reference experiments phase II (CORE-II). Part II: inter-annual to decadal variability 

  50. Ocean Model. Tseng 10.1016/j.ocemod.2016.06.003 104 143 2016 North and equatorial Pacific Ocean circulation in the CORE-II hindcast simulations 

  51. Tittensor 10.5880/PIK.2018.005 2018 ISIMIP2a Simulation Data from Fisheries & Marine Ecosystems (Fish-MIP; global) Sector 

  52. Ecosystems Walters 10.1007/s100219900101 2 539 1999 Ecospace: prediction of mesoscale spatial patterns in trophic relationships of exploited ecosystems, with emphasis on the impacts of marine protected areas 

  53. Fish. Res. Anticamara 10.1016/j.fishres.2010.10.016 107 131 2011 Global fishing effort (1950-2010): trends, gaps, and implications 

  54. Glob. Ecol. Biogeogr. Christensen 10.1111/geb.12281 24 507 2015 The global ocean is an ecosystem: simulating marine life and fisheries 

  55. Geosci. Model Dev. Carozza 10.5194/gmd-9-1545-2016 9 1545 2016 The ecological module of BOATS-1.0: a bioenergetically constrained model of marine upper trophic levels suitable for studies of fisheries and ocean biogeochemistry 

  56. PLoS One Jennings 10.1371/journal.pone.0133794 10 2015 Predicting consumer biomass, size-structure, production, catch potential, responses to fishing and associated uncertainties in the world’s marine ecosystems 

  57. Clim. Dyn. Dufresne 10.1007/s00382-012-1636-1 40 2123 2013 Climate change projections using the IPSL-CM5 earth system model: from CMIP3 to CMIP5 

  58. Sci. Adv. Jia 10.1126/sciadv.aax4111 5 eaax4111 2019 Weakening Atlantic Nino-Pacific connection under greenhouse warming 

  59. Proc. Natl Acad. Sci. Lotze 10.1073/pnas.1900194116 116 12907 2019 Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change 

  60. J. Clim. Bretherton 10.1175/1520-0442(1999)012<1990:TENOSD>2.0.CO;2 12 1990 1999 The effective number of spatial degrees of freedom of a time-varying field 

  61. J. Clim. Widmann 10.1175/JCLI3424.1 18 2785 2005 One-dimensional CCA and SVD, and their relationship to regression maps 

  62. Technometrics Allen 10.1080/00401706.1974.10489157 16 125 1974 The relationship between variable selection and data agumentation and a method for prediction 

  63. Clim. Dyn. Dayan 10.1007/s00382-013-1946-y 43 1311 2014 Does sea surface temperature outside the tropical Pacific contribute to enhanced ENSO predictability? 

  64. Geosci. Model Dev. Suarez-Moreno 10.5194/gmd-8-3639-2015 8 3639 2015 S4CAST v2.0: sea surface temperature based statistical seasonal forecast model 

  65. Can. J. Fish. Aquat. Sci. Watters 10.1139/f03-100 60 1161 2003 Physical forcing and the dynamics of the pelagic ecosystem in the eastern tropical Pacific: simulations with ENSO-scale and global-warming climate drivers 

  66. J. Clim. Keenlyside 10.1175/JCLI3992.1 20 131 2007 Understanding equatorial Atlantic interannual variability 

  67. Geosci. Model Dev. Tsujino 10.5194/gmd-13-3643-2020 13 3643 2020 Evaluation of global ocean-sea-ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2) 

  68. Geophys. Res. Lett. Keenlyside 10.1002/grl.50362 40 2278 2013 Potential of equatorial Atlantic variability to enhance El Nino prediction 

  69. Deep-Sea Res. II Bidigare 10.1016/0967-0645(96)00019-7 43 809 1996 Spatial and temporal variability of phytoplankton pigment distributions in the central equatorial Pacific Ocean 

  70. Geophys. Res. Lett. Park 10.1002/2017GL076077 45 1939 2018 Ocean Chlorophyll as a Precursor of ENSO: an earth system modeling study 

  71. Nature Montoya 10.1038/nature02824 430 1027 2004 High rates of N2 fixation by unicellular diazotrophs in the oligotrophic Pacific Ocean 

  72. Nature Gruber 10.1038/nature06592 451 293 2008 An Earth-system perspective of the global nitrogen cycle 

  73. Nat. Commun. Exarchou 10.1038/s41467-021-21857-2 12 1612 2021 Impact of equatorial Atlantic variability on ENSO predictive skill 

  74. Nature Cai 10.1038/s41586-018-0776-9 564 201 2018 Increased variability of eastern Pacific El Nino under greenhouse warming 

  75. 2020 

관련 콘텐츠

오픈액세스(OA) 유형

GOLD

오픈액세스 학술지에 출판된 논문

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로