Use the form below to select from a collection of monthly summaries recapping climate-related occurrences on both a global and national scale.
Global Climate ReportSeptember 2024
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Global Annual Temperature Rankings Outlook
Overview
This outlook product, which will be updated monthly, provides a range of possibilities for the global annual temperature ranking at year's end. The calculation does not use any weather or climate forecast models. Rather, we utilize simulations of possible outcomes based on how widely the global temperature time series has varied from month to month in the historical record. Once we've created these plausible scenarios, we identify the 95% range of most likely outcomes.
The 2024 global annual temperature ranking outlook

Simulated ranking probabilities for 2024 global annual land and ocean temperature. Tick marks denote increments of 5% probability
There is a strong propensity since 1988 for recent years to be initially ranked as a top 10 year (Sรกnchez-Lugo et al., 2018). Based on current anomalies and historical global annual temperature readings, it appears that it is virtually certain that not only will 2024 be another top 10 year, but that 2024 also will set another record as the warmest year since global records began. Our calculations suggest:
- 99.8% chance of warmest year
- 100.0% chance of a top 5 year
- 100.0% chance of a top 10 year
- 95% confidence interval of 1st or 2nd warmest year on record
Methodology
The key drivers for the calculation are 1) the difference, or separation, between recent monthly readings versus all previous annually-averaged values and 2) the statistical distribution of month-to-month fluctuations in the historical record. We utilize the operational version of the monthly global land and ocean NOAAGlobalTemp time series from January 1975โpresent. We utilize this time period because it provides a 40+ year baseline for estimating month-to-month fluctuations that are likely to be representative of real-time fluctuations. Next, we remove an ordinary least squares trend and simulate plausible outcomes based on autoregressive modeling of the residual time series. Finally, we add back in the trend as extended to account for simulated months, compute annual averages, and compare them to all prior annual averages since 1880 to arrive at annual rankings. This process is repeated 10,000 times, and we report the two-tailed 95% confidence interval. This methodology is analogous to an earlier analysis used to characterize whether a year would go on to become the warmest year on record. We anticipate that a future version of this product will account for statistical relationships between El Niรฑo-Southern Oscillation (ENSO) indices and global temperatures.
For Further Reading:
Sรกnchez-Lugo, A., C. Morice, P. Berrisford, and A. Argรผez, 2018: [Global Climate] Global Surface Temperatures [in "State of the Climate in 2017"]. Bull. Amer. Meteor. Soc., 99, S11-S13.
Somewhat. Very. Extremely. How likely is it that 2015 will be the new warmest year on record?