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DOI10.3389/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
EISSN2296-6463
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
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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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