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Which of the following is NOT a reason for the limited ability of computer models to forecast the weather accurately:

a. Instrumental errors are introduced in the models because the measurements used to initialize the models are made with instruments that are not perfect.

b. Human errors are possible when the initialization data is reported by human observers.

c. When interpolating observations to provide initialization data at a grid point, interpolation errors are introduced.

d. Direct observations over the ocean are scarce.

e. The evolution of weather can only be predicted for the duration of the life cycle of weather systems, which is about three to five days.

f. Due to the chaotic nature of the atmosphere, small errors can grow large beyond several days of computer forecasting.

g. Resolution errors are introduced when small-scale weather phenomena are smaller than the size of a grid cell in the computer mode

User Rabea
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Answer:C

Step-by-step explanation:

it depends on computer weather models and software that analyze observed weather data and make forecasts. When that data is incomplete, the models must interpolate (or estimate) the missing data between the available data points. As the distance between available observational data points grows, the computer model’s ability to interpolate weakens. The chance of an error occurring during interpolation can go up, depending on the time frame getting analyzed. For example, if the forecast period is longer, the model may have to interpolate more data. This can increase the chance of errors in its predictions.

User Prashant Gaur
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