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DOI | 10.3389/feart.2019.00210 |
Bayesian Multi-Scale Spatio-Temporal Modeling of Precipitation in the Indus Watershed | |
Christensen, Michael F.; Heaton, Matthew J.; Rupper, Summer; Reese, C. Shane; Christensen, William F. | |
发表日期 | 2019-08-14 |
EISSN | 2296-6463 |
卷号 | 7 |
英文摘要 | The Indus watershed is a highly populated region that contains parts of India, Pakistan, China, and Afghanistan. Changes in precipitation patterns and rates of glacial melt have significantly impacted the region in recent years, and climate change is proj |
关键词 | spatio-temporal correlationdynamic linear model (DLM)High Mountain Asia (HMA)change of support problemdata assimilationclimate modelclimate change |
学科领域 | Geosciences, Multidisciplinary |
语种 | 英语 |
WOS记录号 | WOS:000480754700001 |
来源期刊 | FRONTIERS IN EARTH SCIENCE |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/81143 |
作者单位 | Brigham Young Univ, Dept Stat, Provo, UT 84602 USA |
推荐引用方式 GB/T 7714 | Christensen, Michael F.,Heaton, Matthew J.,Rupper, Summer,et al. Bayesian Multi-Scale Spatio-Temporal Modeling of Precipitation in the Indus Watershed[J],2019,7. |
APA | Christensen, Michael F.,Heaton, Matthew J.,Rupper, Summer,Reese, C. Shane,&Christensen, William F..(2019).Bayesian Multi-Scale Spatio-Temporal Modeling of Precipitation in the Indus Watershed.FRONTIERS IN EARTH SCIENCE,7. |
MLA | Christensen, Michael F.,et al."Bayesian Multi-Scale Spatio-Temporal Modeling of Precipitation in the Indus Watershed".FRONTIERS IN EARTH SCIENCE 7(2019). |
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