Weather Forecasting Applications
Data assimilation is a concept encompassing any method for combining observations of variables like temperature, and atmospheric pressure into numerical models as the ones used to predict weather.
In weather forecasting there are 2 main types of data assimilation: 3 dimensional (3DDA) and 4 dimensional (4DDA). In 3DDA only those observations available at the time of analysis are used. In 4DDA the future observations are included (thus, time dimension added).
Read more about this topic: Data Assimilation
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“Winter lies too long in country towns; hangs on until it is stale and shabby, old and sullen. On the farm the weather was the great fact, and men’s affairs went on underneath it, as the streams creep under the ice. But in Black Hawk the scene of human life was spread out shrunken and pinched, frozen down to the bare stalk.”
—Willa Cather (1873–1947)