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We used an adjoint version of the process-based Terrestrial Ecosystem Model (TEM) to optimize the model parameters in a spatially explicit manner by assimilating satellite-based estimates of gross primary production (GPP) in the conterminous United States. Traditionally, terrestrial ecosystem model parameterization is conducted at site-level for various(More)
We developed an adjoint version of a process-based biogeochemistry model, the Terrestrial Ecosystem Model (TEM). The adjoint model of TEM was then used to: (1) conduct sensitivity studies of net ecosystem production (NEP) for three terrestrial ecosystems: grassland, deciduous broadleaf forest and evergreen needle-leaf forest; (2) rank the importance of(More)
Boreal forest and tundra are the major ecosystems in the northern high latitudes in which a large amount of carbon is stored. These ecosystems are nitrogen-limited due to slow mineralization rate of the soil organic nitrogen. Recently , abundant field studies have found that organic nitrogen is another important nitrogen supply for boreal forest and tundra(More)
There is a pressing need to develop earth system models (ESMs), in which ecosystem processes are adequately represented, to quantify carbon-climate feedbacks. In particular, explicit representation of the effects of microbial activities on soil organic carbon decomposition has been slow in ESM development. Here we revised an existing Q 10-based(More)
This discussion paper is/has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP if available. Abstract Regional net carbon fluxes of terrestrial ecosystems could be estimated with either biogeochemistry models by assimilating surface carbon flux measurements or atmospheric CO 2(More)
Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Discussions This discussion paper is/has been under review for the journal Geoscientific Model Development (GMD). Please refer to the corresponding final paper in GMD if available. Abstract Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Abstract(More)