Exact(10)
It is common for the ensemble spread to be too small to include the weather that actually occurs, which can lead to forecasters misdiagnosing model uncertainty; this problem becomes particularly severe for forecasts of the weather about ten days in advance.
As for forecasts of a new era in cooperation between management and workers, ask a passenger marooned at O'Hare Airport by canceled flights.
Because of increased competition between water uses, the demand for forecasts of low-flow periods is rising.
The constraints arise due to the need for forecasts of collections of time series to add up in the same way as the observed time series.
For forecasts of TC intensity, current atmospheric models have typical biases: they are not able to reproduce rapid intensification, and TCs in the models continuously intensify even in the mid-latitude, where TCs begin to weaken, then resulting in overintensification.
Table 1 Confusion table for forecasts of perpetrators and victims Forecasted Not Fail Forecasted Fail Accuracy Not Fail 9972 987.91 Fail 45 153.77 True negatives are identified with 91% accuracy.
Similar(49)
Our results could be useful for forecasting of space weather.
The main goal was to apply extreme leaning machine (ELM) for forecasting of physiological equivalent temperature (PET) values.
In this paper, a new method for forecast of wind speed has been proposed using decomposition of raw time series data.
Seasonal Auto Regressive Fractionally Integrated Moving Average SARFIMAA) is a well-known model for forecasting of seasonal time series that follow a long memory process.
During recent years, statistical models based on artificial neural networks (ANNs) have been increasingly applied and evaluated for forecasting of air quality.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
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