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Using a land surface model to simulate Net Primary Productivity in China comparing with the process model derived by remote sensing

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4 Author(s)
Liang Zhang ; Institute of Arid Meteorology, CMA, Key Laboratory of Arid Climatic Change and Disaster Reduction of Gansu Province, Key Open Laboratory of Arid Climate Change and Disaster Reduction of CMA, Lanzhou 730020, China ; Yaohui Li ; Huqiang Zhang ; Jinsong Wang

In this study, we analyze Net Primary Productivity from 51-year (1950-2000) offline simulations using an Australian land-surface model CABLE (CSIRO Atmosphere Biosphere Land Exchange). The model annual NPP climatology with the estimated 2001 annual NPP from what was derived from a process model driven by remote sensing in deriving China NPP at 1-km resolution. The CABLE results are highly comparable with those, with annual NPP decreasing from southeast to northwest. Southern China has high annual NPP of more than 1,200 gC m-2 year-1, while the Tibetan Plateau, north and northwest regions show very low annual NPP. CABLE is also skillful in reproducing NPP interannual variability in northeast China, with similar year-to-year fluctuations for the period of 1982 to 2000. But the model shows a different trend compared with the satellite-based approach. Further analysis shows that using a prefixed CO2 concentration in the model experiment appears to be the chief reason for it failing to simulate an upward NPP trend.

Published in:

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Date of Conference:

25-30 July 2010