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Temperature record and hottest year markets

How markets on record monthly or annual global temperatures resolve, including dataset choice, baselines, revisions, and release dates. · 3 min read

Updated 09 Oct 2026

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Temperature record and hottest year markets

Each year brings questions like "Will this year be the hottest on record?" or "Will September's global anomaly exceed a threshold?" These markets are anchored in climate datasets that are carefully maintained but not identical. SoftCta literacy focuses on which dataset, which baseline, and which release counts.

Choosing the dataset

NASA, NOAA, Copernicus, the UK Met Office with the University of East Anglia, and Berkeley Earth each produce global temperature records. They agree on long-term trends but can disagree on the exact ranking of close years, sometimes by hundredths of a degree. Contracts usually name one source; the others are context.

Anomalies and baselines

Records are reported as anomalies relative to a baseline — for example 1951–1980 or 1991–2020 — or relative to preindustrial levels. A threshold like "1.5°C above preindustrial" depends on how the dataset estimates that baseline. Read whether the contract uses the dataset's own headline figure.

Releases and revisions

Monthly figures arrive a week or two after month end; annual summaries in January. Values are revised slightly as late data arrive. Contracts tied to the first release versus later versions can differ, as discussed in data revisions. Ties at the reported precision raise rounding questions.

Drivers

Long-term warming sets the trend; El Niño and La Niña shift individual years. Year-to-date rankings partway through the year are informative but not decisive, because late-year months can differ. A reference class of past years with similar ENSO conditions helps.

Related markets

Local weather questions behave differently; see weather and climate markets. Policy outcomes are a separate category: climate policy outcome markets.

A worked example

A market asks whether a year will be the warmest on record according to NASA GISTEMP, priced at 60 cents in October. Year to date, the dataset shows the year roughly tied with the previous record holder. El Niño has faded into neutral conditions, which tends to cool the final months somewhat. Copernicus already reports the year narrowly behind. A reader notes the contract uses NASA's January release only, that hundredths of a degree may decide it, and that the dataset differences are evidence of how close the race is. Prices here are illustrative only — verify live on the operator.

Reading the quote step by step

  • Read the full title and rules, including the named settlement source and the time zone.
  • Convert the Yes and No prices to implied probabilities and note the gap between them.
  • Subtract fees and spread to see the effective price you would actually face.
  • Write your own probability range and the evidence behind it, then compare.
  • Check related and near-duplicate markets on other venues for consistency.

Common mistakes

Mixing datasets. Comparing anomalies with different baselines. Treating year-to-date rank as final. Ignoring revision and tie rules. Substantial risk of loss.

Closing SoftCta checklist

  • Re-read the venue definition in your own words before reacting to a price.
  • Convert prices with fee and spread awareness; verify live cents on the operator.
  • Prefer primary settlement sources over secondary headlines and social summaries.
  • Treat ChanceWire hubs, movers, and tools as orientation — not order entry.
  • Confirm age, location, and product eligibility; SoftCta pages will not suggest location spoofing.
  • If clarity is incomplete, watching is a complete SoftCta outcome — no pick-selling urgency required.

SoftCta habits

  • Name the dataset and baseline.
  • Mark release dates against deadlines.
  • Account for ENSO phase in late-year months.
  • ChanceWire does not execute trades.
  • Verify live prices and rules on the operator.

Where ChanceWire fits

ChanceWire explains climate data event structures; tools handle conversions such as implied probability. Venues such as Polymarket and Kalshi hold live quotes and rules — verify live.

Published 9 October 2026 (Asia/Nicosia). Informational only. Not financial, legal, investment, or tax advice. Rules and fees change — verify on the operator’s site. SoftCta only: ChanceWire does not execute trades. Affiliate disclosure.

FAQ

Which datasets settle temperature record markets?
Common choices include NASA GISTEMP, NOAA, the Copernicus ERA5 reanalysis, the UK's HadCRUT, and Berkeley Earth. Contracts name one.
Why can datasets disagree?
They use different station coverage, ocean data, interpolation methods, and baselines. Close years can rank differently across datasets.
What is a temperature anomaly?
It is the difference from an average over a baseline period. Different baselines change the headline number but not the ranking within a dataset.
When are annual results released?
Most agencies publish annual summaries in early January, with monthly updates during the year. Release dates matter for contract deadlines.

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