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| A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration [期刊论文]
Atmospheric Environment, 2020-01-01, 222
Berrocal V.J.; Guan Y.; Muyskens A.; Wang H.; Reich B.J.; Mulholland J.A.; Chang H.H.
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| A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration [期刊论文]
Atmospheric Environment, 2020-01-01, 222
Berrocal V.J.; Guan Y.; Muyskens A.; Wang H.; Reich B.J.; Mulholland J.A.; Chang H.H.
View/Download：25/0
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| The interannual variability of wind energy resources across China and its relationship to large-scale circulation changes [期刊论文]
International Journal of Climatology, 2019-01-01, 39 (3
Yu L.; Zhong S.; Bian X.; Heilman W.E.
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| Multi-model seasonal forecasts for the wind energy sector [期刊论文]
Climate Dynamics, 2019-01-01,
Lee D.Y.; Doblas-Reyes F.J.; Torralba V.; Gonzalez-Reviriego N.
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| Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development [项目]
Bonnie Light
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| Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development [项目]
Donald Perovich
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| Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development [项目]
Marika Holland
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| Collaborative Research: NSFDEB-NERC: Tropical deadwood carbon fluxes: Improving carbon models by incorporating termites and microbes [项目]
Steven Allison
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| Collaborative Research: NSFDEB-NERC: Tropical deadwood carbon fluxes: Improving carbon models by incorporating termites and microbes [项目]
Amy Zanne
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| Improved seasonal prediction using the SINTEX-F2 coupled model [期刊论文]
Journal of Advances in Modeling Earth Systems, 2016-01-01, 8 (4
Doi T; , Behera S; K; , Yamagata T
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