The 4byo Climate Symphony
The world’s main climate drivers on one 15-year timeline, grouped by how they connect: ENSO and the Indian Ocean Dipole, the tropical Indo-Pacific pair that often work together; the PNA, ENSO’s route into North American weather; the NAO and Arctic Oscillation of the North Atlantic and Arctic; and the slow Atlantic background (AMV and AMOC) - then the heatwave and extreme-weather outcomes. Past and present with the official forecast, plus how the post-El Niño temperature floor - informally, the “ratchet” - has stepped higher after each major event, layered on the long-term warming trend. Toggle any driver in What-If mode to see how the combined picture shifts.
The 4byo Climate Symphony - Current State & Forecast
Click any panel to see how the drivers interact.
The drivers are not independent. They sit in three chains of influence, feeding the same outcomes. On the timeline above, each group has its own heading and linked drivers are marked as Linked.
The tropical Indo-Pacific pair
ENSO usually leads and the Indian Ocean feeds back. The PNA carries ENSO's signal into North America.
Where it shows
North American winters - and, through ENSO and the IOD, rain from East Africa to Australia
North Atlantic & Arctic
A weak polar vortex tends to push the AO, then the NAO, negative a few weeks later.
Where it shows
Europe's and the Arctic's winters, largely apart from ENSO
Slow ocean background
Many studies find the AMOC's slow swings help set the AMV's phases - still debated.
Where it shows
Atlantic warmth and hurricane seasons, and Europe's long-run weather
The outcomes - all three feed these
Global temperature, heatwave days and extreme weather. ENSO gives the biggest push to global temperature from year to year - the others mostly move heat and storms around.
After each major El Niño, global temperatures decline during the La Niña that follows, but they rarely fully return to the pre-event baseline. Each event has left a higher temperature “floor” than the one before, producing the staircase shape shown by the gold line - though as the step-size card below shows, how big that step is varies a lot by event. The treads slope upward with the background anthropogenic warming rate (~0.027 °C/yr, derived from an OLS fit to the most recent 25 years of land+ocean data); most of each near-vertical step is that same background trend accumulating between events, with the El Niño peak as the moment it becomes visible rather than a separate cause.
† 2023–24 floor lift is provisional — post-event temperatures are still settling 12–24 months after the peak. These card values are approximate empirically-observed raw floor lifts (including trend); the forecast step model uses detrended coefficients derived from 24 El Niño events back to 1950 (see below).
What updates automatically: The observed temperature line, trend rate, staircase floors, step and peak coefficients, and forecast profiles are all dynamically derived each time new snapshot data arrives — no manual calibration. The ENSO forecast lines update when the NOAA and SNU CNN model outputs are refreshed.
The long-dashed staircases extend the floor into the forecast period: gold uses NOAA's official RONI outlook median peak; purple uses the SNU CNN peak (typically larger), producing a higher riser and post-event floor. Step height is estimated using a category-tiered coefficient derived from 24 historical events. The fine dotted lines (and amber shading) show the predicted month-by-month actual temperature: the ratchet floor plus ~0.19 × Niño 3.4 for the ENSO contribution, spiking above the floor during the event then settling to the new level.
Why doesn’t ENSO average out to zero on its own?
Even the small piece of the staircase not explained by the background greenhouse-gas trend doesn’t obviously come from a single, settled cause. A few possible contributing mechanisms have been proposed in the literature - each plausible, none of them the dominant story here (that’s still the AGW trend above), and the size of any one is genuinely debated:
1. Power asymmetry (positive skewness)
Super El Niños (1997–98, 2015–16, 2023–24) have spiked global temperatures more sharply than La Niñas have cooled them. La Niña cooling has a physical floor (set by how cold deep Pacific water actually is) while El Niño has no equivalent ceiling, which could leave a small residual warming signal averaged over many cycles. [1, 2]
2. Nonlinear atmospheric rectification
The atmosphere is thought to respond nonlinearly to ocean heat: El Niño’s warm water triggers large-scale cloud and circulation changes that may not fully reverse when La Niña flips the Pacific back, potentially leaving a small fraction of the shifted heat behind - sometimes called “ENSO rectification”. [2, 3]
3. Decadal dominance cycles
ENSO appears to oscillate through multi-decadal phases where one state dominates. During the early-to-mid 20th century (~1900–1941) El Niño was more frequent and powerful than La Niña, which may have added an independent multi-decadal warming contribution on top of the greenhouse signal. [1, 2]
Is ENSO getting more extreme?
The baseline frequency of ENSO events (~every 2–7 years) has not conclusively increased, but the intensity distribution has shifted. IPCC AR6 and WMO assessments note that episodes since 1950 have been demonstrably stronger than those in 1850–1950. Climate models project the frequency of extreme El Niño and La Niña events could roughly double (from once every ~20 years to once every ~10 years) by the end of the 21st century under high-emissions scenarios. [4, 5]
A separate trend is the rise of multi-year clusters: the 2020–23 “triple-dip” La Niña is an example of consecutive cool phases that research (published in Nature) links directly to intensified El Niños; global warming may be increasing the chance of such consecutive La Niña years as a rebound response. [5]
[1] IPCC AR6 WGI Ch. 2 & 3 - ENSO observed changes; WMO State of the Global Climate 2024.
[2] Foster & Rahmstorf (2011), Environ. Res. Lett. 6 044022 - annual-mean regression 0.10 °C/°C; empirical monthly peak ~0.18 °C per RONI unit used for the dotted profiles (derived via OLS from 23 events, 1950–2024). Floor step-lift coefficient by category: moderate ~0.034 · strong ~0.058 · very strong ~0.049 per RONI unit, derived from detrended pre/post-event floor analysis across 23 El Niño events (1950–2024); Pinatubo 1991–92 cooling window excluded. RONI (Relative Oceanic Niño Index) is NOAA’s official ENSO index since Feb 2026; coefficients and the forecast peak used to scale them are both on the RONI basis, so the projected floor step is not inflated by the raw-ONI warming background. Model forecasts (raw Niño 3.4) are converted to RONI by subtracting the observed ONI−RONI gap season by season (~0.5°C cooler; Stockdale 2026, ECMWF).
[3] Rodgers et al. (2021), Nature Climate Change - nonlinear ENSO atmospheric response.
[4] Cai et al. (2014 & 2015), Nature - doubling of extreme El Niño & La Niña frequency under warming.
[5] Geng et al. (2023), Nature - increased consecutive La Niña years linked to global warming.
NOAA NCEI land+ocean monthly anomaly. SNU CNN Niño 3.4 forecast (Ham et al. 2019, Nature).
Sources: NOAA NCEI (temp) · Niño 3.4 + ONI + RONI (ENSO obs) · NOAA RONI Outlook + SNU ACE Lab CNN (ENSO forecast) · NOAA CPC (NAO, PNA, AO) · NOAA PSL (AMV) · NOAA PSL (IOD, monthly DMI) · EM-DAT (extremes)
Combined Global Footprint
Climate is ENSO, NAO, AMV and the Polar Vortex acting together.
Classic Mild & Wet El Nino Winter moderate matchHow well the live readings match a known historical pattern - not a measure of forecast skill. NAO has no clear live signal right now and is matched to the nearest pattern instead, which downgrades this by one level.
Stratosphere Vortex coherent; downward coupling reinforces +NAO bias.
Outcomes are precomputed from peer-reviewed teleconnection literature - deterministic lookup.
Sources: NOAA CPC ONI (ENSO) · NOAA CPC NAO index · NOAA PSL AMO · NOAA CPC Stratosphere Monitor (SPV).
Explore
Driver Trackers
Explore Climate Data
Data Sources
How the Climate Symphony is Built
The Symphony is built from the same snapshots that drive the individual tracker pages (ENSO ↗, IOD ↗, PNA ↗, NAO ↗, Polar Vortex / AO ↗), so the timeline, the world map and the pillar pills all read from the same figures and cannot disagree.
How the Timeline is Grouped
- The tropical Indo-Pacific pair - ENSO, then the IOD. They often work together: El Niño tends to push the IOD positive and La Niña negative, and recent research finds the IOD feeds back on ENSO too (Park et al. 2025). The hover explanations read the two together.
- ENSO’s route into North America - the PNA. El Niño winters usually bring a positive PNA, La Niña winters more often a negative one, which is how the Pacific reaches North American weather.
- North Atlantic & Arctic - the NAO, then the AO (the surface face of the polar vortex). These run Europe’s winters.
- Slow ocean background - the AMV, a decades-long North Atlantic warm or cool phase, and the AMOC, the Atlantic’s overturning circulation, measured directly since 2004.
- The outcomes - global temperature, heatwave days and extreme weather, where the drivers show up.
Observed (History) Data
- ENSO / Niño 3.4 / ONI - NOAA Climate Prediction Center Oceanic Niño Index (3-month running mean ERSSTv5 SST anomaly, Niño 3.4 region) plus weekly OISST.v2.1. Monthly updates.
- IOD - NOAA Physical Sciences Laboratory monthly Dipole Mode Index (HadISST1.1, 1870-present). Plotted with ENSO as the Indo-Pacific pair and read with it in the hover explanations, but not part of the compound stacking matrix below - see the IOD tracker ↗ for the fresher BOM weekly reading.
- PNA - NOAA CPC daily & monthly Pacific-North American teleconnection index.
- NAO - NOAA CPC daily & monthly NAO index (500 hPa EOF-based, 1950-present).
- AO (proxy for stratospheric polar vortex state) - NOAA CPC daily & monthly Arctic Oscillation index.
- SSW catalogue - Major Sudden Stratospheric Warming events from the Free University Berlin / NOAA SSW chronology.
- AMV - NOAA Physical Sciences Laboratory Atlantic Multidecadal Variability (unsmoothed monthly SST anomaly, North Atlantic basin).
- AMOC - RAPID-MOCHA-WBTS array at 26.5°N, monthly overturning since April 2004, shown as a 12-month mean. Released in batches a year or more after collection.
- Global surface temperature - NOAA Climate at a Glance Global Land + Ocean monthly anomaly.
Forecast Data & Models
- ENSO - official NOAA CPC ENSO consensus probability forecast, 9 overlapping 3-month seasons (DJF, JFM, FMA, ...). Updated monthly. Confidence: high.
- ENSO (CNN) - the SNU deep-learning model (Ham et al. 2019, Nature) trained on CMIP5 climate model output and verified against observations. Predicts Niño 3.4 SST anomaly up to 18 months ahead. Shown as the purple dashed line and shading on the ENSO and post-El Niño floor panels; the purple shading fills only the gap where the CNN projects a stronger El Niño than the NOAA consensus. Confidence: high at leads up to ~6 months, moderate beyond.
ENSO is the only driver with a live, automated seasonal forecast, so it is the only one with a dashed forecast line on the timeline. The NAO, PNA, AO, IOD and AMV show observed history only. When the Combined Global Footprint steps forward a season in Forecast mode, the NAO and AO simply fade back to neutral within a few months (the atmosphere has a short memory, so there is no real skill to show), and the slow AMV keeps its current phase. Use What-If mode to explore other combinations.
Compound Stacking Matrix
The 16-cell matrix is an evidence-based lookup keyed by the sign (+ or -) of four pillars - ENSO, the NAO, the AMV and the polar vortex. Cell narratives are synthesised from the peer-reviewed teleconnection literature and the documented impacts maintained by NOAA CPC, the Met Office and ECMWF. Each cell carries region-specific impact text for the UK / NW Europe, central + eastern Europe, North America and the ENSO-impacted Southern Hemisphere regions. Two partners are read alongside rather than as extra cells: the North America hover adds a PNA note (does the live PNA match ENSO’s usual pattern?), and the IOD adds a reinforcing or opposing note for East Africa, India / SE Asia and Australia.
The Post-El Niño Temperature Floor
The amber dashed lines on the Global Temperature panel mark the post-El Niño temperature floor: the 12-month mean global anomaly for the year starting 6 months after each major event’s ONI peak. After the 1997–98, 2009–10, 2015–16, and 2023–24 El Niño events, temperatures never returned to the pre-event baseline during the following La Niña - each event left a higher floor than the one before in absolute terms (+0.13, +0.08, +0.21, and +0.32 °C respectively), though the size of that step varies widely by event. This is our own descriptive label for the pattern, not a separate physical mechanism: it reflects primarily the underlying anthropogenic warming trend - each El Niño spike rides a rising baseline, so even the La Niña cooling that follows still lands above the pre-event level. Once that background trend is removed, some events (2009–10 in particular) show next to no additional ENSO-specific step - see the FAQ below for the detrended figures.
A secondary contribution may come from El Niño-induced feedbacks - Arctic sea-ice albedo loss, ocean heat redistribution - that are not fully reversible on multi-year timescales. With the 2026 El Niño now under way, the global temperature baseline can be expected to step higher again once it fades; the exact magnitude depends on event strength but historical analogues suggest a floor lift of roughly +0.1–+0.18 °C above the current post-2023-24 level (NOAA plume scenario ~+0.11 °C; CNN ~+0.16 °C).
Foster & Rahmstorf (2011, Environ. Res. Lett. 6 044022) provide the canonical framework for separating the ENSO signal from the underlying warming trend. Their analysis shows ENSO has a total range of ~0.39 °C on the global surface temperature record, with global warming lagging the MEI index by 2–5 months.