reference : Evaluation and Improvement of a Global Land Model Against Soil Carbon Data Using a Bayesian Markov Chain Monte Carlo Method

JSON YAML text HTML Turtle N-Triples JSON Triples RDF+XML RDF+JSON Graphviz SVG
/reference/ec3dd170-87f9-4bc7-bc60-7bbeb6c670a6

The referenced publication is not connected.

Bibliographic fields
reftype Journal Article
Accession Number WOS:000334534500016
Alternate Title J Geophys Res-Biogeo
Author Hararuk, O.; Xia, J. Y.; Luo, Y. Q.
Author Address Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA Tsinghua Univ, Ctr Earth Syst Sci, Beijing 100084, Peoples R China
DOI 10.1002/2013jg002535
Date Mar
ISSN 2169-8953
Issue 3
Journal Journal of Geophysical Research: Biogeosciences
Keywords carbon dynamics; model calibration; organic-matter; ecosystem model; cycle feedback; decomposition model; atmospheric co2; climate; respiration; parameter; dynamics; stabilization
Language English
Pages 403-417
Title Evaluation and Improvement of a Global Land Model Against Soil Carbon Data Using a Bayesian Markov Chain Monte Carlo Method
Volume 119
Year 2014
Bibliographic identifiers
_record_number 3610
_uuid ec3dd170-87f9-4bc7-bc60-7bbeb6c670a6