%0 journal article
%@ 1616-7341
%A Schiller, K.

%D 2006
%J Ocean Dynamics
%N 2
%P 79-85 
%R doi:10.1007/s10236-006-0058-1
%T Derivation of Photosynthetically Available Radiation from METEOSAT data in the German Bight with Neural Nets
%U https://doi.org/10.1007/s10236-006-0058-1
2 
%X Two different models, a Physical Model and a Neural Net (NN), are used for the derivation of the Photosynthetically Available Radiation (PAR) from METEOSAT data in the German Bight; advantages and disadvantages of both models are discussed. The use of a NN for derivation of PAR should be preferred to the Physical Model because by construction, a NN can take the various processes determining PAR on a surface much better into account than a non-statistical model relying on averaged relations.