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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...
Uloženo v:
| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2014
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| Témata: | |
| On-line přístup: | 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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