Data Filling of Micrometeorological Variables in Complex Terrain for High-Resolution Nowcasting

Data Filling of Micrometeorological Variables in Complex Terrain for High-Resolution Nowcasting

In this paper, two different computationally inexpensive methods for nowcasting/data filling spatially varying meteorological variables (wind velocity components, specific humidity, and virtual potential temperature) covering scales ranging from 100 m to 5 km in regions marked by complex terrain are...

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Bibliographic Details
Main Authors: Nipun Gunawardena, Pierre Durand, Thierry Hedde, Florian Dupuy, Eric Pardyjak
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Atmosphere
Subjects:
boundary layer
artificial neural networks
multiple linear regression
prediction
Online Access:https://www.mdpi.com/2073-4433/13/3/408

Internet

https://www.mdpi.com/2073-4433/13/3/408

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