The model-data fusion pitfall: Assuming certainty in an uncertain world

Oecologia

Volumn 167, Issue 3, 2011, Pages 587-597

  Keenan, Trevor F ^a   Carbone, Mariah S ^b   Reichstein, Markus ^c   Richardson, Andrew D ^a  

^a HARVARD UNIVERSITY   (United States)

^b NATIONAL CENTER FOR ECOLOGICAL ANALYSIS AND SYNTHESIS   (United States)

^c MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY   (Germany)

Author keywords

Carbon cycle model; Data assimilation; Inverse analysis; Model data fusion; Parameter estimation

Indexed keywords

CARBON;

CARBON CYCLE; DATA ASSIMILATION; ESTIMATION METHOD; INVERSE ANALYSIS; NUMERICAL MODEL; OBSERVATIONAL METHOD; SENSITIVITY ANALYSIS; SPATIOTEMPORAL ANALYSIS; STREAM; UNCERTAINTY ANALYSIS;

BAYES THEOREM; BIOLOGICAL MODEL; CARBON CYCLE; ECOLOGY; METABOLISM; METHODOLOGY; REVIEW; STATISTICAL ANALYSIS; STATISTICAL MODEL; UNCERTAINTY;

BAYES THEOREM; CARBON; CARBON CYCLE; DATA INTERPRETATION, STATISTICAL; ECOLOGY; MODELS, BIOLOGICAL; MODELS, STATISTICAL; UNCERTAINTY;

EID: 80054018279     PISSN: 00298549     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00442-011-2106-x     Document Type: Review

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