Sentence examples for forecast verification from inspiring English sources

Hindcasts are evaluated using deterministic and probabilistic forecast verification metrics.

Forecast verification tools and methods are needed to pursue improving the spatial and temporal accuracy of forecasts.

Statistical ensemble postprocessing always requires computer software for data processing, model fitting, forecast generation, and forecast verification.

Thus, where possible and relevant, they should be distinguished and separated in model evaluation and forecast verification applications.

We also show that, for the configuration studied here, forecast verification carried out over a period greater than 24 months of daily discharges provides average score values already close to the final values that would be obtained with a longer verification period.

To our knowledge, these analyses are the first application of forecast verification methods to a predictive disease transmission model.

Hybrid neural model training and testing results are exhibited in Appendix A. Table 1 Hour basis weather forecasting verification (2 days earlier) Neural network structure No. of days Correlation coefficient (R) RMSE Scatter index (SI) MLP 1 0.89 175 0.87 2 0.86 189 0.91 RBF 1 0.81 182 0.94 2 0.79 193 1.01 Hybrid neural model (MLP + RBF) 1 0.95 1590.691590.693 1590.699.

This study demonstrates how weather and climate forecast skill verification analyses may be applied to test the predictability of an empirical disease forecast model.

According to the forecasts done, verification experiments were conducted under optimum operational conditions (pH = 10, C2NP = 10 ppm, ({text{C}}_{{{text{H}}_{2} {text{O}}_{2} }}) = 90 ppm).

Much of this development can be attributed to the application of advances in formal logic and its application to fault forecasting and verification of systems.

Much of the development of model-based design and dependability analysis in the design of dependable systems, including software intensive systems, can be attributed to the application of advances in formal logic and its application to fault forecasting and verification of systems.