Complexity in microbial metabolic processes in soil nitrogen modeling: A case for model averaging

Stochastic Environmental Research and Risk Assessment

Volumn 24, Issue 6, 2010, Pages 831-844

  Ajami, Newsha K ^a   Gu, Chuanhui ^b  

^a Berkeley Water Center   (United States)

^b APPALACHIAN STATE UNIVERSITY   (United States)

Author keywords

Biogeochemical models; Complexity; Model averaging; Predictive uncertainty

Indexed keywords

BAYESIAN MODEL AVERAGING; BIOGEOCHEMICAL MODELING; BIOGEOCHEMICAL MODELS; CALIFORNIA; COMPLEXITY LEVELS; DATA AVAILABILITY; DIFFERENT PROCESS; ENSEMBLE MEMBERS; INDIVIDUAL MODELS; MICROBIAL METABOLIC PROCESS; MODEL AVERAGING; MODEL SELECTION; MODEL UNCERTAINTIES; MULTI-MODEL; MULTI-MODEL ENSEMBLE; MULTIPLE LEVELS; OBJECTIVE FUNCTIONS; OBSERVED DATA; PLAUSIBLE MODEL; PREDICTIVE UNCERTAINTY; SOIL NITROGEN; TOMATO FIELDS; TOUGHREACT; UNCERTAINTY BOUNDS; WEIGHTING SCHEME;

BAYESIAN NETWORKS; BIOGEOCHEMISTRY; GAS EMISSIONS; UNCERTAINTY ANALYSIS;

GEOLOGIC MODELS;

ACCURACY ASSESSMENT; BAYESIAN ANALYSIS; BIOGEOCHEMISTRY; COMPLEXITY; ENSEMBLE FORECASTING; METABOLISM; MICROBIAL ACTIVITY; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; PREDICTION; SOIL CHEMISTRY; SOIL NITROGEN; UNCERTAINTY ANALYSIS;

LYCOPERSICON ESCULENTUM;

EID: 77954426930     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-010-0381-4     Document Type: Article

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