Sentence examples for improve forecast quality from inspiring English sources

Based on examination of various verification metrics, we determine that a bias corrector that uses a linearly-weighted combination of past errors calculated over a three-day moving window is able to significantly improve forecast quality for the flashy case study watershed in southwestern British Columbia, Canada.

The decrease of the maximum specific costs until 2019 is due to an increasing size of portfolios of the direct marketers, i.e. they profit from economies of scale and improved forecast qualities over the years.

Unlike previous studies, the electrified RTG crane demands are: ({textcircled {1}}) highly volatile and stochastic; ({textcircled {2}}) not include a clear seasonality or patterns, can help to improve the forecast quality; ({textcircled {3}}) highly unpredictable behaviour due to the effect of human (crane driver) on the crane moves and loads.

Could they improve forecasting?

Most of the skill is due to the slowly varying changes in atmospheric composition, both natural and anthropogenic, while the initialization of the forecast systems robustly improves several aspects of the forecast quality of global-mean near-surface air temperature and temperature over the North Atlantic and a handful of other regions.

It is also intended to help improve air quality forecasting in the years ahead.

As such, we wanted to examine retrospective 360-degree feedback from coworkers and analyze the scores against patient satisfaction data to determine if a predictive relationship exists between coworker feedback and patient feedback that could offer physicians and hospitals a simple methodology to forecast and improve clinical quality [ 3, 4, 9, 16– 18, 20, 21].

Figure 4: Precipitation forecast quality.

The impacts of weather forecast quality on mortality risk depended on forecast product and forecast time frames.

The comparative analysis of weather forecasts presented here points out the challenge in issuing heat alerts based purely on numerical or statistical forecast models given that forecast quality varies with forecast products and issuing time frames.

To improve the quality of the forecast, the team may attempt to anticipate the risks in the CM.