Long-term solar UV radiation reconstructed by ANN modelling with emphasis on spatial characteristics of input data

Författare, redaktör eller annan roll
U. Feister
J. Junk
M. Woldt
et al.
Publikationstyp
Artikel i vetenskaplig tidskrift
Språk
Engelska
Utgivningsdatum
Typ av innehåll
Sakkunniggranskat
Abstract (Engelska)

Artificial Neural Networks (ANN) are efficient tools to derive solar UV radiation from measured meteorological parameters such as global radiation, aerosol optical depths and atmospheric column ozone. The ANN model has been tested with different combinations of data from the two sites Potsdam and Li...

Publiceringsstatus
Publicerad

Tidskrift

Titel
Atmospheric Chemistry And Physics
PISSN
1680-7316
EISSN
1680-7324
Volym
8
Utgivningsnummer
12
Startsida
3107
Slutsida
3118