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Introduction to data assimilation in meteorology - ForOT Optical ...

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AROME <strong>data</strong> <strong>assimilation</strong> system<br />

Use a variational <strong>assimilation</strong> scheme<br />

2 w<strong>in</strong>d components, temperature, specific humidity and surface<br />

pressure are analysed at the model resolution (2.5 km).<br />

Use of a Rapid Update Cycle<br />

Forecasts <strong>in</strong>itialized with more recent observations will be<br />

more accurate<br />

Us<strong>in</strong>g high temporal and spatial frequency observations<br />

(RADAR measurements for example) <strong>to</strong> the best possible<br />

advantage

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