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Weather forecasting

application of science and technology to predict the conditions of the atmosphere for a given location and time

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Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionAug 30, 2026
Entity authorityQ182868
Source-derived summary

Weather forecasting or weather prediction is the application of science and technology to predict the conditions of the atmosphere for a given location and time. People have attempted to predict the weather informally for thousands of years and formally since the 19th century.

Weather forecasts are made by collecting quantitative data about the current state of the atmosphere, land, and ocean and using meteorology to project how the atmosphere will change at a given place. Once calculated manually based mainly upon changes in barometric pressure, current weather conditions, and sky conditions or cloud cover, weather forecasting now relies on computer-based models that take many atmospheric factors into account. Human input is still required to pick the best possible model to base the forecast upon, which involves pattern recognition skills, teleconnections, knowledge of model performance, and knowledge of model biases.

The inaccuracy of forecasting is due to the chaotic nature of the atmosphere; the massive computational power required to solve the equations that describe the atmosphere, the land, and the ocean, the error involved in measuring the initial conditions, and an incomplete understanding of atmospheric and related processes. Hence, forecasts become less accurate as the difference between the current time and the time for which the forecast is being made (the range of the forecast) increases. The use of ensembles and model consensus helps narrow the error and provide confidence in the forecast.

There is a wide variety of end uses for weather forecasts. Weather warnings are important because they are used to protect lives and property.

Editorial summary

“Weather forecasting” enters the record as application of science and technology to predict the conditions of the atmosphere for a given location and time. Crown Archives preserves that source wording while asking what Weather, forecasting and application can confirm, complicate or overturn.

Editorial reviewUseful for establishing the present vocabulary of the subject while preserving a route back to the evidence on which that vocabulary rests. The current 256-word lead offers orientation but no explicit four-digit date, so chronology should not be assumed. The selected authority fields contribute no independent date. Its strongest next move is a source search built around Weather, forecasting and application.
Editorial analysis

Why this record matters

“Weather forecasting” is worth following because a concise public description often conceals a longer documentary argument. Here, Weather, forecasting and application provides the most credible route into that argument.

Evidence profile

Datasets, specimens, observations and peer-reviewed methods provide the appropriate test for the technical claims summarized here. The source revision retrieved here is dated Aug 30, 2026. The linked authority identifier is Q182868. The Library of Congress control number is sh85145853. 1 of 1 selected statements include explicit references; 1 carry qualifiers and 0 use preferred rank.

Critical limits

Scientific names, classifications and consensus can change while older terminology persists in catalogues and historical literature. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Check terminology, classification and the date of the cited evidence. Scientific names and technical consensus can change while older records retain historical value.

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  • Current terminology
  • Classification context
  • Finding cited technical literature
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Primary datasets, specimen catalogues, standards bodies and the most recent peer-reviewed literature.

Three-step research path

  1. Establish the record: confirm the title “Weather forecasting”, its source revision and the description used here.
  2. Expand the search: follow Weather forecasting primary sources, Weather forecasting archive and Weather research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

  1. Which source most directly establishes the central claim about “Weather forecasting”?
  2. Which observation, specimen, dataset or publication supports the account?
  3. Has classification or technical consensus changed since the cited source?
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Source & attribution

This entry incorporates text from Weather forecasting” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.