Derivation of Photosynthetically Available Radiation from METEOSAT data in the German Bight with Neural Nets   总被引：1，自引：0，他引：1  

Kathrin Schiller 《Ocean Dynamics》2006,56(2):79-85

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.

Kathrin SchillerEmail:

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