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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“When the weather is bad as it was yesterday, everybody, almost everybody, feels cross and gloomy. Our thin linen tents—about like a fish seine, the deep mud, the irregular mails, the never to-be-seen paymasters, and “the rest of mankind,” are growled about in “old-soldier” style. But a fine day like today has turned out brightens and cheers us all. We people in camp are merely big children, wayward and changeable.”
—Rutherford Birchard Hayes (1822–1893)