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

Providing generic and cost effective modelling approaches to reconstruct and forecast freshwater temperature using predictors as air temperature and water discharge is a prerequisite to understanding ecological processes underlying the impact of water temperature and of global warming on continental...

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Veröffentlicht in:	PloS one 2014-12, Vol.9 (12), p.e115659-e115659
Hauptverfasser:	Bal, Guillaume, Rivot, Etienne, Baglinière, Jean-Luc, White, Jonathan, Prévost, Etienne
Format:	Artikel
Sprache:	eng
Schlagworte:	Air temperature Aquatic ecosystems Bayes Theorem Bayesian analysis Bias Biology and Life Sciences Climate change Coastal streams Computer simulation Data processing Discharge Earth Sciences Ecological monitoring Ecology and Environmental Sciences Environmental changes Environmental impact Environmental Sciences Fish Forecasting Global Changes Global temperature changes Global warming Habitats Mathematical models Meteorology - methods Modelling Regression analysis Regression models Salmo salar Salmo trutta Salmonidae Seasonal variations Seasons Statistical analysis Streams Temperature Temperature effects Time series Trends Uncertainty Water discharge Water Movements Water temperature Water temperature forecasting Weather forecasting Wildlife
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