Bottom line first. Three of four quarters are already banked, and the contest for the warmest year since systematic measurement began has narrowed to two candidates. No office on earth can honestly name a winner today — but the odds, the mechanism and the remaining uncertainty are now clear enough to act on. This guide is written for readers who want to use that information rather than argue about it: what the numbers actually say, why agencies disagree, how timing shifts the decisive evidence into next year, the traps to avoid when a headline lands, and what to do over the coming ninety days. The underlying evidence is Carbon Brief’s latest “state of the climate” quarterly assessment, republished here as decision support for a general audience by James Hartley of IT Insights.

Livestock sheltering from the sun under the shade of trees in Spain. Photo credit: Marcin Drabik / Alamy Stock Photo.
Grab the conclusions now; the reasoning follows step by step.
One further figure separates weather noise from physics. Earth’s energy imbalance — sunlight absorbed minus heat radiated back to space — has more than doubled since the CERES satellite record opened in March 2000, moving from roughly 0.5 watts per metre squared (W/m2) in the 2000s to about 1.25W/m2 over the past decade. El Niño brings stored ocean heat up into the atmosphere; it does not manufacture that heat.
Here is the trap that catches most readers: “global temperature” is not a single number produced by a single agency. It is six independent estimates, each with its own sea-surface inputs, its own strategy for filling regions where few observations exist — the Arctic and Antarctic especially — and its own reference period. Carbon Brief lines the series up on a shared 1981-2010 baseline, then shifts them by the 0.67C of warming recorded between 1850-1900 and 1981-2010 so they can sit on one chart. The groups behind the six series are NASA’s GISTEMP, NOAAGlobalTemp from NOAA, HadCRUT5 from the Met Office Hadley Centre and University of East Anglia, Berkeley Earth, Copernicus/ECMWF’s ERA5 reanalysis product, and JRA-3Q from the Japan Meteorological Agency. Other groups appear in the annual “state of the climate” update but are left out here because they do not publish monthly figures.
| Dataset | Who produces it | How the map gets completed | Odds of naming 2026 a record |
|---|---|---|---|
| Berkeley Earth | Berkeley Earth (independent research group) | Aggressive statistical interpolation, so poorly covered regions are filled generously | Very likely — 97% |
| NASA GISTEMP | NASA’s Goddard Institute for Space Studies | Each grid box is infilled from measurements up to 1,200 km away, per NASA’s published GISTEMP methodology | Likely — 82% |
| HadCRUT5 | Met Office Hadley Centre with University of East Anglia | Deliberately sparse treatment of under-observed areas | 72% so far — based on July-August data only; a plausible 50% to 80% once September lands |
| JRA-3Q | Japan Meteorological Agency | Reanalysis: a weather model constrained by observations estimates air temperature everywhere | 48% — about as likely as not |
| NOAAGlobalTemp | NOAA | Land stations blended with sea-surface temperature records | 34% — also too close to call |
| ERA5 | Copernicus/ECMWF | Reanalysis, same model-constrained approach as JRA-3Q | Unlikely — 18%, under 20% |
None of these products is “right” in some absolute sense. They answer slightly different questions about a planet with uneven instruments. That distinction alone defuses most of the online arguing you will see in January.
The chart below plots annual values in each dataset since 1970 together with the 2026 average to date; the 2026 markers are staggered horizontally so they do not overlap, and the HadCRUT5 point covers January-August because September had not been published when the analysis was finalised.

The pace of 2026 changed mid-year, and the order of events matters for prediction.

Monthly averages of six global mean surface temperature datasets; the September marker excludes HadCRUT5, which had not yet reported.
Plotting the January-September average for every year back to 1850 makes the remaining task concrete: 2026 sits at 1.45C, about 0.06C below the equivalent figure for 2024.

If you remember one mechanism from this article, make it this one: global air temperatures tend to lag the tropical Pacific by about three months. An El Niño that peaks at the end of 2026 therefore delivers its largest global-temperature effect during 2027. The precedent is exact — the 2015-16 event helped make 2016 the then-warmest year on record.
The event itself is now exceptional. In September, daily sea-surface temperature in the Niño3.4 region — the box most widely used to rate El Niño strength — exceeded the anomaly last set in November 2015, making this the strongest event since the satellite era began in 1981 and the highest monthly anomaly for that box since records reach back to the mid-1800s. As of 18 October the daily value sat around 3.5C above the 1996-2025 average for that time of year, roughly 0.4C above the 2015 peak.
Two useful calibrations for anyone checking official bulletins. First, NOAA’s Climate Prediction classifies an El Niño only when monthly Niño3.4 departures reach +0.5C or more, atmospheric conditions line up with it, and the pattern is forecast to persist for three consecutive months — so “El Niño conditions” in a bulletin is a formal label, not a casual description (see the CPC ENSO pages at cpc.ncep.noaa.gov). Second, what you see reported as “the” anomaly depends on the base period: Carbon Brief expresses Niño3.4 against a rolling 1996-2025 climatology, while agencies often publish against fixed 30-year normals. Same ocean, different yardstick.
On the outlook, Carbon Brief pooled 656 forecasts from 14 climate models run between late September and mid-October. Their average has the event peaking near 4C in December, more than 1C above the previous record; ten models favour a December peak and four expect November. That is a strengthening of expectations from July’s “state of the climate” round, when the working number was about 3.6C. Analysis of tree rings and coral sediments suggests this may be the strongest El Niño in a thousand years.

Mean of 656 forecasts from 14 dynamical models; the lighter shading marks the window in which only seven models were available.

Projected peak warming of the Niño3.4 region across 656 runs of 14 dynamical El Niño models. The vertical axis gives the share of runs falling in each 0.2C “bin”.
None of this displaces the underlying cause. Human emissions of CO2 and other greenhouse gases account for effectively all long-term warming; El Niño and La Niña decide how that warming is arranged in any individual year.
Averages hide geography. In the ERA5 reanalysis, July-September 2026 came out 0.96C above the 1981-2010 average and 1.58C above ERA5’s 1850-1900 pre-industrial reference.

The El Niño shows up as a stripe of extreme warmth across the eastern and central tropical Pacific, with sea surfaces more than 4C above average off the coasts of Ecuador and Peru. Around 3C above average was measured over France and the western Mediterranean Sea, and exceptional heat also covered North-west Russia, the Canadian Arctic, south-central North America, eastern Africa and parts of west Antarctica. The standout chill was the Weddell Sea sector of Antarctica, more than 2C below average for the season.
Ranking each location against every year in the 1940-2026 ERA5 record turns that map into a scoreboard for the quarter.

Regions setting hot and cold records for July-September 2026 against all other years since ERA5 begins in 1940. Share of the global surface: 21.5% record warm, 49.9% in the five warmest, 0.5% in the five coldest.

Carbon Brief’s headline projection combines observations through September with current El Niño forecasts, using a statistical model trained on the historical relationship between year-to-date temperature, ENSO state and the annual result. The arithmetic is simple enough to track yourself:

Six-dataset annual average since 1970, with the January-September 2026 figure, the 2026 estimate and its 90% range; the dark red dot marks the median 2027 projection, the bar the 50% range and the line the 90% range.

Likelihood of a 2026 record by dataset under Carbon Brief’s model, each run against its own observations and own record; the HadCRUT5 figure uses data only through August.

Six-dataset averages since 1970 with projections for 2026 and 2027; for 2027 the dark red dot is the median, the bar the 50% range and the line the 90% range.
Between now and the announcements, five checkpoints carry most of the information:
Treat the record question as trivia and the seasonal footprint as the usable product. NOAA notes that a strong El Niño shifts the Pacific jet stream, which is what steers temperature and precipitation across North America and redirects storm tracks — historically wetter-than-average conditions in the southern US and warmer, drier air across the north (see noaa.gov’s “Understanding El Niño & ENSO”). Practical response, ordered by lead time:
Berkeley Earth at 97% and NASA GISTEMP at 82% are the strong cases. HadCRUT5 currently reads 72% on incomplete data, JRA-3Q 48% and NOAA 34% are effectively toss-ups, and ERA5 at 18% leans against a record.
No. The best estimate of about 1.52C is essentially level with 2024, and the 67% figure quantifies a race rather than a result. What is close to settled is that the year ends in the top two, and that the 2020s have now produced the warmest years measured.
Timing. With global temperatures trailing the tropical Pacific by roughly three months, an event peaking around the end of 2026 pushes its maximum influence into the following calendar year, exactly as the 2015-16 event did for 2016. Carbon Brief’s 2027 line sits near 1.7C above pre-industrial levels, with a 96% chance of a new record.
The primary series are public: GISTEMP tables at data.giss.nasa.gov, NOAA’s climate monitoring, Berkeley Earth’s monthly files, Copernicus/ECMWF’s ERA5, the Met Office Hadley Centre’s HadCRUT5 and the Japan Meteorological Agency’s JRA-3Q. Earth’s energy imbalance comes from NASA’s CERES record, and a peer-reviewed NASA-led assessment of that trend is available through the National Centers for Environmental Information research library.
Judged as decision support rather than as a scoreboard, the current picture is unusually actionable. The driver is documented, the timing is understood, the disagreement between products is a matter of method rather than of direction, and the remaining unknown — who wins the annual title — is worth less to you than the quarter of weather that produced it. Watch the Niño3.4 numbers through winter, verify each agency’s release when it lands in January, and build your plans around the seasonal footprint rather than the ranking.
Questions about this guide or a request for the underlying dataset links? Readers of IT Insights can reach the editorial desk at contact@itinsights.com.