Carbon sequestration: Inversion of FACE data and prediction

L. W. White, Y. Luo, T. Xu

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

FACE data is used with a compartmental carbon forest model to obtain information in the form of cumulative distributions and estimates of carbon transfer parameters in the face of uncertainties in initial conditions, flux inputs, and environmental observations. An assessment of the data is conducted to determine its effectiveness in inversion. Predictions are made of future carbon pools sizes based on the joint probability density function obtain from the data and trends of environmental functions. Uncertainty is carried forward into future predictions of pool sizes.

Original languageEnglish (US)
Pages (from-to)783-800
Number of pages18
JournalApplied Mathematics and Computation
Volume163
Issue number2
DOIs
StatePublished - Apr 15 2005
Externally publishedYes

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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