Parameterization and sensitivity analysis of a process‐based terrestrial ecosystem model using adjoint method

Zhu, Qing; Zhuang, Qianlai

doi:10.1002/2013MS000241

Parameterization and sensitivity analysis of a process‐based terrestrial ecosystem model using adjoint method

Journal Article · Fri May 23 00:00:00 EDT 2014 · Journal of Advances in Modeling Earth Systems

DOI:https://doi.org/10.1002/2013MS000241· OSTI ID:1618023

Zhu, Qing ^[1]; Zhuang, Qianlai ^[2]

Purdue Climate Change Research Center Purdue University West Lafayette Indiana USA, Department of Earth, Atmospheric, and Planetary Sciences Purdue University West Lafayette Indiana USA
Purdue Climate Change Research Center Purdue University West Lafayette Indiana USA, Department of Earth, Atmospheric, and Planetary Sciences Purdue University West Lafayette Indiana USA, Department of Agronomy Purdue University West Lafayette Indiana USA

Abstract

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 parameters in controlling NEP; (3) optimize the model parameters by assimilating eddy flux data of NEP; and (4) evaluate parameterization by extrapolating optimal parameters to other sites that have the same plant functional type as the calibration sites. We found that: (1) the maximum rate of photosynthesis ( C _MAX ) was the most important parameter in determining NEP, while the importance of the remaining parameters varied depending on plant functional type, suggesting that the same ecosystem process has different degrees of importance in modeling carbon fluxes; (2) the sensitivity of NEP to C _MAX had a significant seasonal variability and the control of C _MAX on NEP was much larger in growing season (defined as from April to October) than that in nongrowing season (defined as from December to March); and (3) after parameterization, TEM could reasonably reproduce carbon fluxes observed at eddy flux tower sites. This study provided an effective model‐data fusion framework of TEM, which could improve the future quantification of terrestrial ecosystem carbon fluxes at both site and regional levels.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: SC0007007

OSTI ID:: 1618023

Journal Information:: Journal of Advances in Modeling Earth Systems, Journal Name: Journal of Advances in Modeling Earth Systems Journal Issue: 2 Vol. 6; ISSN 1942-2466

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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