Study of the Effect of Different Atmospheric Conditions on the Temporal Evolution of the Mixing Layer over Madrid during the Year 2020 by Means of Two Different Methods: Ceilometer Signals and the ECMWF-IFS Meteorological Model.
Rubén BarragánFrancisco MoleroPedro SalvadorMark R. TheobaldMarta García VivancoAlejandro Rodríguez-SánchezVictoria GilJuan Luis GarridoManuel PujadasBegoña ArtíñanoPublished in: Remote. Sens. (2023)
Keyphrases
- temporal evolution
- computational model
- study proposes
- high level
- multi layer
- qualitative and quantitative
- statistical models
- significant improvement
- empirical studies
- theoretical framework
- probabilistic model
- similarity measure
- image classification
- signal processing
- mathematical model
- statistical model
- statistical methods
- simulation study
- linear regression
- domain knowledge
- predictive model
- neural network