Numerical Weather Prediction
Description
Numerical Weather Prediction - Regression
Summary
Accurate prediction of air temperature at a height of 2 metres above the ground is crucial for anticipating and preparing for weather-related emergencies, such as extreme heatwaves (maximum daytime temperature) and cold spells (minimum nighttime temperature). Predictions of the highest and lowest air temperatures are crucial for minimising the impact of severe weather phenomena like heat waves and tropical nights. The utilisation of the Numerical Weather Prediction (NWP) model for air temperature forecasting is extensive. However, it typically exhibits a systematic bias caused by its limited grid resolution and absence of parametrizations. The objective is to develop a Machine Learning Model that can accurately forecast extreme weather temperatures using the given features.