"considerable amount of uncertainty" is a correct and usable phrase in written English.
It is typically used to indicate a large or significant level of uncertainty or doubt about something. Example: "The stock market is experiencing a considerable amount of uncertainty due to the current economic conditions." In this example, the phrase is used to describe the level of uncertainty surrounding the stock market, indicating that there is a significant amount of doubt or unpredictability in its performance.
In presidential forecasting, by contrast, there is a considerable amount of uncertainty about exactly how much uncertainty there is.
While acknowledging some progress, Eliot concludes that housing providers must do more to ensure widespread integrated services: "[There is] still a considerable amount of uncertainty.
In particular, a considerable amount of uncertainty is attributable to the lack of understanding concerning how turbulence within urban environments affects turbine productivity.
The comparisons between suspended sand concentrations and transport rates show that a considerable amount of uncertainty (factor ±5 or more) arises when individual predictions are compared with the measurements.
However, a considerable amount of uncertainty is expected in the estimation of foundation flexibility due to the natural nonhomogeneity of the soil as well as laboratory and in-situ testing errors.
In addition, sample size and the number of plots or replicates can cause a considerable amount of uncertainty.
It has been recognized that a considerable amount of uncertainties exist in the damage detection process.
Conflicts of interests between economic promotion, landscape and natural resource protection, and new trends on energy markets are further intensified by the fact that techniques of oil and gas extraction come with a considerable amount of uncertainties regarding ecological and health impacts.
Owing to the complexity of GRNs, accurate network inference is practically challenging and GRN models often contain considerable amounts of uncertainty.
Geotechnical models are usually associated with considerable amounts of model uncertainty.
Accurate prediction of failure probability of a given structural system subjected to parametric uncertainty often leads to a computationally challenging process requiring considerable amount of time.
