Niño 3
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| Niño 3 | |
|---|---|
| Name | Niño 3 |
| Region | Pacific Ocean |
| Coordinates | 5°N–5°S, 150°W–90°W |
| Type | Oceanic SST index region |
| Related | El Niño–Southern Oscillation |
Niño 3 Niño 3 is a defined tropical Pacific sea surface temperature index region used in climate science and oceanography. It is specified by coordinates and is central to studies of El Niño–Southern Oscillation, Pacific Decadal Oscillation, Intergovernmental Panel on Climate Change, National Oceanic and Atmospheric Administration, and World Meteorological Organization assessments. Researchers from institutions such as Scripps Institution of Oceanography, National Aeronautics and Space Administration, Australian Bureau of Meteorology, and European Centre for Medium-Range Weather Forecasts regularly reference Niño 3 in operational monitoring, paleoclimate reconstructions, and seasonal forecasting.
Definition and geographic bounds
The Niño 3 region is defined as the equatorial Pacific box spanning approximately 5° north to 5° south latitude and 150°W to 90°W longitude, a domain used by Climate Prediction Center, Bureau of Meteorology (Australia), and Japan Meteorological Agency products. This spatial definition overlaps with adjacent index regions such as Niño 1+2, Niño 3.4, and Niño 4 used by International Research Institute for Climate and Society, Met Office (United Kingdom), and Centro de Investigación Científica y de Educación Superior de Ensenada. The bounds encompass critical features including the Equatorial Pacific current system, Galápagos Islands, and sections of the South American continental shelf implicated in coastal upwelling studied by Instituto Geofísico del Perú and University of California, Santa Cruz researchers.
Measurement and indices
Niño 3 sea surface temperature anomalies are computed from in situ and remote observations following protocols from NOAA Climate, Hadley Centre, and Reanalysis project methodologies. Data inputs include measurements from TAO/TRITON array, Argo (oceanography), AVHRR, MODIS, and the Extended Reconstructed Sea Surface Temperature (ERSST) dataset maintained by National Centers for Environmental Information. Index calculation involves detrending against a climatology derived from periods used by IPCC Assessment Report, Coupled Model Intercomparison Project, and regional reconstructions by PAGES (Past Global Changes) scientists. Operational indices are issued alongside indices like those from Bjerknes (Jacob Bjerknes), Wang (Bin Wang), and other references in peer-reviewed literature.
Climatic significance and ENSO relationships
Niño 3 anomalies are key indicators of eastern Pacific El Niño and La Niña events recognized in analyses by Philander (S. George H. Philander), McPhaden (Michael J. McPhaden), and Trenberth (Kevin E. Trenberth). The region’s variability is linked to coupled interactions among the Walker circulation, Hadley cell, and tropical Pacific trade winds studied in works by Bjerknes (Jacob Bjerknes), Wyrtki (Klaus Wyrtki), and Zebiak–Cane model developments. Niño 3 often registers stronger SST anomalies during canonical eastern Pacific El Niño events compared with central Pacific events highlighted in literature by Jin (Fei-Fei Jin), Cai (Wenju Cai), and Hidalgo (Humberto) analyses. Teleconnections from Niño 3 interact with modes such as the North Atlantic Oscillation, Indian Ocean Dipole, and Madden–Julian Oscillation in multi-model experiments by CMIP6 participants.
Observed variability and historical events
Historical Niño 3 records document variability across instrumental and proxy timescales explored by Imbrie (John Imbrie), Stott (Lionel) and Lamb (Harold) reconstructions. Prominent events with strong Niño 3 anomalies include the 1982–83 and 1997–98 El Niño episodes reported by Climate Research Unit, National Weather Service, and World Climate Research Programme. Paleoclimate studies using coral records from the Galápagos Islands, sediment cores from the Peruvian upwelling zone, and tree-ring proxies in Mexico and Chile link Niño 3 variability to megadroughts, flood episodes, and shifts documented by Mann (Michael E.), Hughes (Michael K.), and Stahle (David W.). Multi-decadal modulation of Niño 3 amplitude has been attributed to influences from the Pacific Decadal Oscillation and forcings discussed in reports by IPCC and analyses by Mantua (Nathan J.).
Impacts on weather, oceanography, and ecosystems
Anomalies in Niño 3 influence coastal SSTs, upwelling intensity along the Peru–Chile coast, and fisheries productivity affecting institutions such as Instituto del Mar del Perú and Fisheries and Oceans Canada studies. Strong positive Niño 3 phases are associated with altered precipitation patterns across Ecuador, Peru, and parts of Central America and linked to extreme events analyzed by United Nations Office for Disaster Risk Reduction, Red Cross, and World Bank assessments. Marine ecosystems including anchoveta fisheries, coral reef assemblages, and seabird populations near Galápagos Islands respond to Niño 3-driven warming as documented by Charles Darwin Foundation, CI (Conservation International), and university research programs. Impacts propagate globally through atmospheric teleconnections affecting regions covered by NOAA NWS, European Centre for Medium-Range Weather Forecasts, and national meteorological services.
Monitoring, forecasting, and data sources
Operational monitoring of Niño 3 employs observational networks such as the TAO/TRITON array, Argo (oceanography), GOES series, and satellite missions from NOAA, NASA, and European Space Agency. Forecasts use coupled climate models from NCAR, GFDL, ECMWF, and multi-model ensembles coordinated by IRI, WCRP, and CMIP participants. Data products include SST analyses from NOAA OISST, HadISST, and reanalyses provided by NCEP, ECMWF Reanalysis (ERA5), and research outputs archived at National Centers for Environmental Information. Continued improvements involve collaborations among Scripps Institution of Oceanography, Australian Bureau of Meteorology, Japan Agency for Marine-Earth Science and Technology, and international programs focusing on observation system design and model development.