Interactive comment on “Using satellite data to improve the leaf phenology of a global Terrestrial Biosphere Model” by N. MacBean
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First, the optimization procedure was not explained clearly. The authors estimated global minimum of the cost function by starting at 20 different random “first guest” points. It was not clear which model outputs were used in the calculation, fAPAR, SOS, EOS, or GSL? Did the 20 points mean 20 sets of parameters that change at the same time, or 20 different values for each individual parameter while fixing other parameters? Was the ORCHIDEE model required to re-run for each different set of x (parameters), that is to say 20 times?
منابع مشابه
Using satellite data to improve the leaf phenology of a global terrestrial biosphere model
Correct representation of seasonal leaf dynamics is crucial for terrestrial biosphere models (TBMs), but many such models cannot accurately reproduce observations of leaf onset and senescence. Here we optimised the phenology-related parameters of the ORCHIDEE TBM using satellite-derived Normalized Difference Vegetation Index data (MODIS NDVI v5) that are linearly related to the model fAPAR. We ...
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تاریخ انتشار 2015