Abstract:In order to conduct observation‐network design experiments for a forecast system, methods are needed to estimate the benefit of potential observations. Ideally, these methods are flexible enough to accommodate multiple observation types and forecast lead times while being computationally fast enough to evaluate many potential observational network layouts. For ensemble forecasts, this can be achieved by assuming that analysis and forecast errors are represented by the respective ensemble variance and by assumi… Show more
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