Estimation of carbon transfer coefficients using Duke Forest free-air CO2 enrichment data

Luther White, Yiqi Luo

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

A compartmental carbon model is presented in which there are parameters quantifying the transfer between various carbon pools. These parameters are estimated using two CO2 data sets (elevated and ambient) from the Duke Forest FACE data set. A quadratic objective criterion is used to compare closeness of fit of system output CO2 flux to the observed CO2 flux data. Adjoint equations are developed based on the system of difference equations approximating the solution of the model equations, the data, and the criterion. Parameter estimation algorithms are developed using minimization techniques. It is found that the estimated parameters obtained using the two different data sets agree closely.

Original languageEnglish (US)
Pages (from-to)101-120
Number of pages20
JournalApplied Mathematics and Computation
Volume130
Issue number1
DOIs
StatePublished - Jul 25 2002
Externally publishedYes

Keywords

  • Adjoint method
  • Carbon dioxide cycle
  • Deconvolution
  • Estimation

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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