A hierarchical Bayesian model to quantify uncertainty of stream water temperature forecasts

PLoS ONE

Volumn 9, Issue 12, 2014, Pages

  Bal, Guillaume ^a,b   Rivot, Etienne ^c   Baglinière, Jean Luc ^a   White, Jonathan ^b   Prévost, Etienne ^d,e  

^a Ecology and Ecosystem Health   (France)

^b MARINE INSTITUTE   (Ireland)

^c AGROCAMPUS OUEST   (France)

^d Ecologie Comportementale et Biologie des Populations de Poissons   (France)

^e UNIVERSITÉ DE PAU ET DES PAYS DE L'ADOUR   (France)

Author keywords

[No Author keywords available]

Indexed keywords

WATER;

AIR TEMPERATURE; ARTICLE; CLIMATE; COMPARATIVE STUDY; CONTROLLED STUDY; FORECASTING; HIERARCHICAL BAYESIAN MODEL; LINEAR REGRESSION ANALYSIS; SIMULATION; STATISTICAL MODEL; STREAM (RIVER); TIME SERIES ANALYSIS; UNCERTAINTY; VALIDATION STUDY; WATER AND WATER RELATED PHENOMENA; WATER DISCHARGE; WATER TEMPERATURE; BAYES THEOREM; METEOROLOGY; PROCEDURES; SEASON; TEMPERATURE; WATER FLOW;

BAYES THEOREM; METEOROLOGY; SEASONS; TEMPERATURE; UNCERTAINTY; WATER MOVEMENTS;

EID: 84919933413     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0115659     Document Type: Article

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