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Improving satellite-based PM(2.5) estimates in China using Gaussian processes modeling in a Bayesian hierarchical setting
Using satellite-based aerosol optical depth (AOD) measurements and statistical models to estimate ground-level PM(2.5) is a promising way to fill the areas that are not covered by ground PM(2.5) monitors. The statistical models used in previous studies are primarily Linear Mixed Effects (LME) and Ge...
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| Udgivet i: | Sci Rep |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Publishing Group UK
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5539114/ https://ncbi.nlm.nih.gov/pubmed/28765549 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-07478-0 |
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