Carbon sequestration: Inversion of FACE data and prediction

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

doi:10.1016/j.amc.2004.04.021

Carbon sequestration: Inversion of FACE data and prediction

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

Research output: Contribution to journal › Article › peer-review

10 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 language	English (US)
Pages (from-to)	783-800
Number of pages	18
Journal	Applied Mathematics and Computation
Volume	163
Issue number	2
DOIs	https://doi.org/10.1016/j.amc.2004.04.021
State	Published - Apr 15 2005
Externally published	Yes

ASJC Scopus subject areas

Computational Mathematics
Applied Mathematics

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10.1016/j.amc.2004.04.021

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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.",

author = "White, {L. W.} and Y. Luo and T. Xu",

note = "Funding Information: This study was financially supported by the Office of Science (BER), US Department of Energy Grant No. DE-FG 03-99ER62800. ",

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T2 - Inversion of FACE data and prediction

AU - White, L. W.

AU - Luo, Y.

AU - Xu, T.

N1 - Funding Information: This study was financially supported by the Office of Science (BER), US Department of Energy Grant No. DE-FG 03-99ER62800.

PY - 2005/4/15

Y1 - 2005/4/15

N2 - 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.

AB - 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.

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Carbon sequestration: Inversion of FACE data and prediction

Abstract

ASJC Scopus subject areas

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