Equatorial Atlantic variability—Modes, mechanisms, and global teleconnections
Bibliographic Data
| ID | 12929467 |
|---|---|
| Authors | Joke F Lübbecke (Christian-Albrechts-Universität zu Kiel, corresponding author), Belén Rodríguez‐Fonseca (0000-0002-5261-7083, Universidad Complutense de Madrid), Ingo Richter (0000-0002-7765-5190, Japan Agency for Marine-Earth Science and Technology), Marta Martín‐Rey (0000-0001-6234-0447, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique), Teresa Losada (0000-0002-8430-1745, Universidad Complutense de Madrid), Irene Polo (0000-0002-6250-6109, University of Reading), Noel Keenlyside (0000-0002-8708-6868, Bjerknes Centre for Climate Research) |
| Year | 2018 |
| Volume | 9 |
| Issue | 4 |
| Publication date | 2018-05-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Wiley Interdisciplinary Reviews Climate Change (JOURNAL) |
| Journal identifiers | ISSN: 1757-7780 • E-ISSN: 1757-7799 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/wcc.527 |
| OpenAlex | W2802394935 |
| Language | EN |
| Citations received | 5 |
| References cited | 140 |
Sea surface temperature (SST) variability in the tropical Atlantic Ocean strongly impacts the climate on the surrounding continents. On interannual time scales, highest SST variability occurs in the eastern equatorial region and off the coast of southwestern Africa. The pattern of SST variability resembles the Pacific El Niño, but features notable differences, and has been discussed in the context of various climate modes, that is, reoccurring patterns resulting from particular interactions in the climate system. Here, we attempt to reconcile those different definitions, concluding that almost all of them are essentially describing the same mode that we refer to as the “Atlantic Niño.” We give an overview of the mechanisms that have been proposed to underlie this mode, and we discuss its interaction with other climate modes within and outside the tropical Atlantic. The impact of Atlantic Niño‐related SST variability on rainfall, in particular over the Gulf of Guinea and north eastern South America is also described. An important aspect we highlight is that the Atlantic Niño and its teleconnections are not stationary, but subject to multidecadal modulations. Simulating the Atlantic Niño proves a challenge for state‐of‐the‐art climate models, and this may be partly due to the large mean state biases in the region. Potential reasons for these model biases and implications for seasonal prediction are discussed. This article is categorized under: Climate Models and Modeling > Knowledge Generation with Models
Atlantic Equatorial mode · Atlantic multidecadal oscillation · Climate change · Climate model · Climatology · Context (archaeology · El Niño Southern Oscillation · Geography · Mode (computer interface · Sea surface temperature · Teleconnection · Tropical Atlantic · Climate variability and models · Computer Science · Environmental Science · Meteorological Phenomena and Simulations · Oceanographic and Atmospheric Processes · Geology · Oceanography
Multidecadal variations in North Atlantic SSTs modulate the relationship between Enso and the South Atlantic Subtropical Dipole since 1900
Atlantic Niño induced sea surface salinity variability as observed from the satellite
Sustained weakening in the Atlantic Niño/Niña variability post 2100
Impact of Indian Ocean Dipole on Atlantic Niño predictive skill
Mechanisms of model bias impacting responses of the Atlantic cold tongue to greenhouse warming
| Unique citing works | 5 |
|---|---|
| Citations per year | 1,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |