The accuracy of the air temperature data recorded at a number of geographically distributed meteorological stations can be assessed using
A) RMSE
B) cross-tabulation
C) standard deviation
D) mean

Question

Quizplus · Accepted Answer

RMSE (Root Mean Squared Error) is a commonly used metric for assessing the accuracy of a model's predictions or in this case, the accuracy of air temperature data. It measures the difference between the actual values and the predicted values, taking into account both the magnitude of the differences and the number of values being compared. The lower the RMSE, the better the accuracy of the data. Cross-tabulation, standard deviation, and mean are not ideal for assessing the accuracy of air temperature data as they do not account for the magnitude of the differences between actual and predicted values.

The Accuracy of the Air Temperature Data Recorded at a Number