Numerical weather prediction (NWP) uses atmospheric general circulation models (AGCMs)
to predict weather based on current weather conditions. The process of entering observation
data into mathematical model to generate the accurate initial conditions is called data
assimilation (DA). It combines observations, forecasting, and filtering step. This paper
presents an approach for employing artificial neural networks (NNs) to emulate the local
ensemble transform Kalman filter (LETKF) as a method of data assimilation. This …

An Artificial Neural Network (ANN) is designed to investigate its application for data
assimilation. This procedure provides an appropriated initial condition to the atmosphere to
weather forecasting. Data assimilation is a method to insert observational information into a
physicalmathematical model. The goal here is the process for assimilating meteorological
observations. The numerical experiment is carried out with global model: the “Simplified
Parameterizations, primitivE-Equation DYnamics”(SPEEDY). For the data assimilation …