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- W3109308076 abstract "Abstract In this study, an uncertainty degree of net primary production (NPP) simulation or prediction is estimated due to uncertainty of hydrodynamic processes. The Lund-Potsdam-Jena Wetland Hydrology and Methane Dynamic Global Vegetation Model (LPJ-WHyMe DGVM), which could describe the interaction between terrestrial carbon cycle and hydrological cycle, is applied to evaluate the above issue. Four regions with different climate backgrounds in China are chosen to explore different behaviors about the influence of the simulated NPP to hydrological physical processes on. It is found that the error of NPP modeling is 198.5 g C m − 2 yr − 1 (48.6%) in the arid and semiarid region of northern China due to the uncertainties in the hydrological processes, which is greater than those in other three regions. The errors of NPP modeling are 88.4 g C m − 2 yr − 1 (19.1%) in northeastern China, 117.0 g C m − 2 yr − 1 (21.1%) in southern China, and 64.4 g C m − 2 yr − 1 (13.2%) in the semi-humid region of northern China. Further numerical experiments reveal that the simulation ability of the NPP could be enhanced by reducing all hydrological parameter errors. Our results demonstrate the importance of hydrological processes to the simulation and prediction of the NPP." @default.
- W3109308076 created "2020-12-07" @default.
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- W3109308076 date "2020-11-18" @default.
- W3109308076 modified "2023-09-27" @default.
- W3109308076 title "Hydrodynamics-driven uncertainty study in simulating terrestrial carbon cycle with a coupled water-carbon cycle model" @default.
- W3109308076 doi "https://doi.org/10.21203/rs.3.rs-108448/v1" @default.
- W3109308076 hasPublicationYear "2020" @default.
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