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Dan, L, Ji, JJ, He, Y (2007). Use of ISLSCP II data to intercompare and validate the terrestrial net primary production in a land surface model coupled to a general circulation model. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 112(D2), D02S90.

[1] Using the global terrestrial NPP and climate data from International Satellite Land Surface Climatology Project Initiative II (ISLSCP II) and additional NPP data, we validated the NPP simulations and explored the relationship between NPP and climate variation in a global two-way coupled model AVIM-GOALS. The strength of this study is that the global simulations produced will enhance interactive climate and vegetation study; however, the weakness is that the NPP distribution is not fully reproduced in some regions, because of the coarse model resolution and climate biases. Global NPP is spatially consistent with IGBP NPP and MODIS data, though there is a discrepancy in NPP (significantly lower values) for boreal forests and tundra, due to the underestimated temperature. The NPP distribution in China indicates agreement with IGBP data, but the IGBP data in northeast China (around 48 degrees N) seem to be slightly high in contrast with other modeled and estimated NPP. The spatial structure of NPP in USA and Australia roughly corresponds to the IGBP NPP data and GPPDI Gridded data, and a possible lower value of GPPDI data in central Australia exists, in contrast with other NPP data. The globally averaged NPP of 447.47 g C m(-2) year(-1) is close to the 450.42 g C m(-2) year(-1) from IGBP data. The global relative error of simulated NPP against IGBP data is about 20% and is comparable to other global biogeochemical models. The meridional variation of globally zonal mean NPP corresponds more to the meridional change of precipitation than temperature. The global NPP for all vegetation types is highly statistically significant in correlation with precipitation.



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