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A seasonal outlook cannot tell you how many inches of snow your town will get. NOAA’s Climate Prediction Center (CPC) forecasts the probabilities of above-, near- or below-normal seasonal average temperature and total precipitation—not seasonal snowfall totals. Use it to understand broad climate tendencies, then turn to local National Weather Service forecasts for a particular storm or travel day.

What a seasonal snowfall outlook actually tells you

The phrase “snowfall outlook” can be misleading when applied to CPC’s seasonal maps. Those maps cover a broad three-month period and show the likelihood that average temperature and total precipitation will fall into above-, near- or below-normal categories. They do not predict storm dates, daily weather, or seasonal snow accumulation. NOAA says the outlook “does not project seasonal snowfall accumulations as snow forecasts are generally not predictable more than a week in advance.” NOAA’s winter outlook explanation describes that limitation.

To answer “Will it be a snowy winter?”, separate the underlying questions: Is total precipitation favored above normal? Are temperatures favored colder or warmer than normal? And, given local conditions, how often might precipitation fall as snow rather than rain or another form? CPC’s temperature and precipitation maps can inform the first two questions, but do not resolve the third.

How to read the CPC A/B/N probability map

CPC divides the historical distribution for a place and season into three categories, or terciles: the lower third, middle third and upper third. The map labels them B (below normal), N (near normal) and A (above normal). The probability assigned to the three categories adds to 100%. The letter marks the favored category; shading indicates its probability. A category probability above 33.33% is favored over the equal one-third baseline, but is not a guarantee. CPC’s map-reading guide explains the categories and probabilities.

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  • A, above normal: The upper-third category is favored. This does not state how far above normal conditions will be.
  • N, near normal: The middle-third category is favored; it does not promise an exactly average season.
  • B, below normal: The lower-third category is favored. It does not quantify how far below normal conditions may be.
  • EC, equal chances: The tools do not favor any category over the others. EC is not a forecast that conditions will be exactly normal.

Probability describes the chance of a category, not its magnitude. An above-normal precipitation probability does not say how much rain or snow will fall, how many storms will occur, or how much snowfall will accumulate.

Check the baseline shown on the specific outlook

The CPC map-reading guide describes categories using 1981–2010 observations, while the current seasonal outlook page labels its climatological values 1991–2020. Because those references differ, use the baseline displayed with the particular outlook you are reading rather than assuming the older explanatory page’s period applies. CPC’s seasonal outlook page provides current outlooks and climatological values.

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Does above-average precipitation mean more snow?

No—not by itself. The precipitation outlook covers total precipitation, not its form. Whether local precipitation falls as snow depends on conditions that a broad seasonal precipitation category does not forecast. A wetter-than-normal outlook therefore cannot be translated directly into a snowier-than-normal winter.

Read the temperature and precipitation maps together for context, but do not combine them into a snowfall prediction. The CPC outlook page also links forecast discussions, text formats, climatological values and information about tools used. The discussion can explain signals behind an outlook, but it does not change what the map forecasts.

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Use the issue date and period on the map

CPC updates its three-month outlook monthly, so identify both the issue date and the exact season before interpreting or sharing a map. At the time the cited CPC page was checked, it listed October–November–December 2026, followed by rolling periods including November–December–January 2026–27 and December–January–February 2026–27. Those periods are time-specific examples, not a permanent schedule of current forecasts.

What forecast skill can—and cannot—tell you

CPC defines forecast skill by comparing performance with a standard, often the long-term 30-year average, or climatology. Its skill explanation describes the Heidke skill score: 0 means no better than chance, 100 is a perfect forecast, and -50 is the worst possible score. A score depends on what is being forecast and where, so probability shading on a map is not itself a measure of accuracy. CPC’s skill-score explanation describes the scale.

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The official pages cited here do not provide a universal score for “seasonal snowfall outlook accuracy.” CPC’s seasonal product forecasts temperature and precipitation categories, not snowfall accumulation, so a category map should not be judged as though it were a snow-total forecast.

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When to switch to a short-range forecast

For a particular storm, travel day or expected snow amount, check current local National Weather Service forecasts and winter weather products as the date approaches. NOAA gives a general rule of thumb that snow forecasts are usually not predictable more than a week ahead; this is not a guarantee about every location or forecast. Product availability can change, so consult the current Weather Prediction Center and local NWS pages for operational details.

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The distinction is practical: a seasonal outlook describes broad probabilities for a region and a multi-month period; a near-term forecast addresses local weather and event-level timing, amounts or impacts. Use the former for climate context and the latter for decisions about an approaching winter event.

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