Abstract
For applying a model of carbon cycle over geographic grid we have to calibrate it at this scale. A scheme for such calibration was demonstrated earlier and applied to calibrating TsuBiMo with the collection of NPP data selected from Osnabrück database. The scheme includes several steps: (1) reducing the number of undefined model parameters to a single lumped parameter (SLP); (2) finding its value for each database entry; (3) formulating an empirical model linking the SLP and climate; and (4) globalizing the process-based model in hand by assigning SLP values to the nodes of geographical grid proceeding from the global fields of climatic variables. Applying this scheme to calibrate TsuBiMo with the CO 2 fluxes measured at the Takayama site, we derive the empirical model for linking SLP and monthly temperature. We show that the empirical model is suitable for projecting with TsuBiMo inter- and intra-annual changes of GPP and NEP at the Takayama site, which represents the biome of cool-temperate deciduous forests. Finally, we discuss how the empirical model may be adjusted for applying to other biomes.
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