Estimation of parameters in carbon sequestration models from net ecosystem exchange data

Luther White, Frances White, Yiqi Luo, Tao Xu

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

The use of net ecosystem exchange (NEE) data to estimate carbon transfer coefficients is investigated in the context of a deterministic compartmental carbon sequestration system. Sensitivity and approximation properties are investigated for the underlying model initial value problems. Joint probability distributions are obtained by including NEE data along with corresponding synthetic NEE values generated from the model and are compared with a priori distributions. These distributions are used to estimate individual transfer parameters and to predict future carbon states. Results are compared with those obtained using only a priori information without the benefit of data. Shannon information content is introduced to measure the dependence of results on the lengths of observational intervals and provide an additional indicator of the value added by the inclusion of NEE data.

Original languageEnglish (US)
Pages (from-to)864-879
Number of pages16
JournalApplied Mathematics and Computation
Volume181
Issue number2
DOIs
StatePublished - Oct 15 2006
Externally publishedYes

Keywords

  • Information content
  • Inversion
  • Net ecological exchange

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Estimation of parameters in carbon sequestration models from net ecosystem exchange data'. Together they form a unique fingerprint.

Cite this