When is a biogeochemical model too complex? Objective model reduction and selection for North Atlantic time-series sites

Progress in Oceanography

Volumn 116, Issue , 2013, Pages 49-65

  Ward, Ben A ^a   Schartau, Markus ^b,c   Oschlies, Andreas ^b   Martin, Adrian P ^d   Follows, Michael J ^e   Anderson, Thomas R ^d  

^a ECOLE NORMALE SUPÉRIEURE   (France)

^b GEOMAR HELMHOLTZ CENTRE FOR OCEAN RESEARCH KIEL   (Germany)

^c INSTITUTE OF MATERIALS RESEARCH   (Germany)

^d NATIONAL OCEANOGRAPHY CENTRE   (United Kingdom)

^e MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Akaike; Bayesian; Complexity; Ecosystem; Likelihood ratio; Nested

Indexed keywords

AKAIKE; BAYESIAN; COMPLEXITY; LIKELIHOOD-RATIO; NESTED;

ALGORITHMS; BIOGEOCHEMISTRY; MODEL STRUCTURES; MODELS;

ECOSYSTEMS;

ALGORITHM; BIOGEOCHEMICAL CYCLE; DATA SET; ENVIRONMENTAL CHANGE; GENERAL CIRCULATION MODEL; GLOBAL OCEAN; MARINE ECOSYSTEM; MODEL TEST; TIME SERIES ANALYSIS; TRACER; UPPER OCEAN;

ATLANTIC OCEAN; ATLANTIC OCEAN (NORTH);

EID: 84882899836     PISSN: 00796611     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pocean.2013.06.002     Document Type: Article

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