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Skillful prediction of hot temperature extremes over the source region of ancient Silk Road
The source region of ancient Silk Road (SRASR) in China, a region of around 150 million people, faces a rapidly increased risk of extreme heat in summer. In this study, we develop statistical models to predict summer hot temperature extremes over the SRASR based on a timescale decomposition approach...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923271/ https://www.ncbi.nlm.nih.gov/pubmed/29703943 http://dx.doi.org/10.1038/s41598-018-25063-x |