Why Climate Norms Sometimes Lie ✛

Original: "On the Estimation of Climate Normals and Anomalies"
arXiv:2511.05071 · 2025-11-07 · CC BY 4.0 · 1 min
Standard 30-year climate averages can distort anomalies when the climate is changing. A new filter adjusts the norm to the trend and season.

A photographer shoots a landscape with a fixed-focus lens. The scene changes, but the focus stays the same. It's the same with climate norms: they are calculated as a 30-year average, yet the climate is moving, and the average lags behind.

A climate norm is not the phenomenon itself but a tool, like a ruler. If the ruler is broken, measurements lie.

Scientists have built a new tool: a filter that adapts itself to changes. It looks at the trend and seasonal cycles, then decides how much to trust them. It's like an autofocus lens that tracks a moving subject.

They tested it on ocean temperature: the old and new methods give almost identical results. But for wind speed, the old method errs by up to 2 meters per second. The new filter reduces the error rate from 55% to 3.5%. Now anomalies from the norm reflect real changes, not a flaw in the measuring stick.

The 30-year rule for climate normals arose not from statistics but from practice: when the recommendation was adopted, meteorologists had only 30 years of reliable data at their disposal. Since then, that number has become the standard, even though the climate can change noticeably over such a period.

Scientists
Willebrord Snellius
Concepts
El Niño El Niño-Southern Oscillation ENSO La Niña seasonal cycle spring predictability barrier relative ONI Jin-Timmermann model natural variability NOAA CPC interannual variability ERSST Multivariate ENSO Index seasonal forcing North Atlantic Oscillation equatorial wave propagation precipitation anomaly forecast sea surface temperature anomaly zebiak cane model