Model-based data assessment for terrestrial carbon processes: Implications for sampling strategy in FACE experiments

Applied Mathematics and Computation

Volumn 167, Issue 1, 2005, Pages 419-434

  White, Luther W ^a   Luo, Yiqi ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIT ERROR RATE; DATA ACQUISITION; MATHEMATICAL MODELS; PARAMETER ESTIMATION;

ADMISSIBLE PARAMETERS; CARBON ACCOUNTING MODEL; CARBON TRANSFER PARAMETERS; DATA ASSESSMENT;

CARBON;

EID: 24944558918     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2004.07.016     Document Type: Article

References (4)

1. Y.L. Luo, L. White, J. Canadell, E. DeLucia, E. Ellsworth, A. Finzi, J. Lichter, W. Schlesinger, Sustainability of terrestrial carbon sequestration: a cases study in Duke Forest with an inversion approach, Global Biogeochem. Cycles, vol. 17, no. 1, 1021 2003, pp. 21-34.
2. H. Niederreiter Random Number Generation and Quasi-Monte Carlo Methods 1992 SIAM Philadelphia, PA
3. A. Tarantola Inverse Problem Theory 1987 Elsevier New York
4. 2 enrichment data Appl. Math. Comput. 130 2002 101 120