Research Article

One-Day Prediction of Biometeorological Conditions in a Mediterranean Urban Environment Using Artificial Neural Networks Modeling

Table 2

The input PEs and the output target for the developed ANN no. 1 and ANN no. 2 forecasting models, respectively.

Input Layer (PEs)Output layer
(targets values)

The number of the month The maximum and the minimum daily value of PET of the next day, as well as the number of hours during the next day with PET > 41.0°C (ANN no. 1) or PET < 4.0°C (ANN no. 2)
The maximum daily air temperature for each of the three previous days
The minimum daily air temperature for each of the three previous days
The maximum daily PET value for each of the three previous days
The minimum daily PET value for each of the three previous days
The number of hours with PET > 41.0°C (ANN no. 1) for each of the three previous days or the number of hours with PET < 4.0°C (ANN no. 2) for each of the three previous days
The persistence factor (PF) for each of the three previous days
The maximum (ANN no. 1) and the minimum (ANN no. 2) air temperature of the next day (the forecasted day)