Firing Data Accuracy and its Impact on the Effectiveness of Artillery Fire

Abstract

Artillery fire must be both timely and accurate to be effective. Predicted fire is a method that utilizes available data,
such as meteorological, ballistic, and location information, to achieve first -round fire for effect. The level of accuracy
required for such firing data may vary depending on the national regulations and tactical situation. In this study, the
authors compared the effectiveness of predicted artillery fire using two different levels of firing data accuracy. The
findings indicate that utilizing modern assets and instruments to achieve higher accuracy standards can significantly
decrease the amount of ammunition required to achieve the same result on the target.