The phrase "a reliable forecast for" is correct and usable in written English.
It can be used when discussing predictions or expectations about future events or conditions, particularly in contexts like weather, economics, or project outcomes.
Example: "The meteorologist provided a reliable forecast for the upcoming storm, ensuring that residents were prepared."
Alternatives: "an accurate prediction for" or "a dependable outlook for".
A reliable forecast will give them the most cost saving.
At present scientists are successfully using Numerical Weather Prediction (NWP) models to achieve a reliable forecast.
Users should recognize whether their target regions can receive a reliable forecast before or just after a significant earthquake occurrence.
We note that the model has the capability for both material intensities of technology and technology lifetimes to change over time; however, due to a lack of reliable forecasts for what technological changes may bring, we make the conservative estimate that they will remain constant.
Space weather is less likely to disrupt your life than the terrestrial sort, but it is possible.Dig deeper: Why reliable forecasts for solar storms are scarce (Aug 2012) Why Earth's magnetic field might reverse (May 2007) The revival in amateur astronomy (July 2014).
Also, the capability to provide models and scenarios, e.g. due to more reliable forecasts for floods than landslides, influenced the capacity of certain coalitions to push their ideas forward.
Thus, to come up with more reliable forecasts for financial requirements associated with new vaccine introduction, more research is needed to improve the quality of coverage data and to conceptualize an approach to forecasting future uptake rate more realistically.
▪ The impact of future climate and/or extreme weather events on forest growth and risks (e.g., storms, drought stress) were not included due to the absence of reliable forecasts for such events.
For instance, a reliable weather forecast for a few days ahead is important for production from renewable sources, especially in the wind power generation where meteorological forecasts are widely used (Alexiadis et al. 1998; Pinson et al. 2009; Cassola and Burlando 2012; Carvalho et al. 2014).
