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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4277306/ https://ncbi.nlm.nih.gov/pubmed/25541732 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0115659 |
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