Title
Estimation of parameters in carbon sequestration models from net ecosystem exchange data
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.
Year
DOI
Venue
2006
10.1016/j.amc.2006.02.014
Applied Mathematics and Computation
Keywords
Field
DocType
inversion,corresponding synthetic nee,nee data,future carbon state,underlying model,initial value problem,deterministic compartmental carbon sequestration,carbon transfer coefficient,ecosystem exchange data,net ecological exchange,information content,additional indicator,carbon sequestration model,shannon information content,individual transfer parameter,value added,probability distribution,carbon sequestration,approximation property
Joint probability distribution,A priori and a posteriori,Probability distribution,Initial value problem,Deterministic system,Estimation theory,Statistics,Entropy (information theory),Carbon sequestration,Mathematics
Journal
Volume
Issue
ISSN
181
2
Applied Mathematics and Computation
Citations 
PageRank 
References 
2
0.51
3
Authors
4
Name
Order
Citations
PageRank
Luther White1167.80
Frances White230.99
Yiqi Luo3145.33
Tao Xu420.51