气候变化领域集成服务门户(CCPortal): Machine learning in Earth and environmental science requires education and research policy reforms

CCPortal

DOI	10.1038/s41561-021-00865-3
	Machine learning in Earth and environmental science requires education and research policy reforms
	Fleming S.W.; Watson J.R.; Ellenson A.; Cannon A.J.; Vesselinov V.C.
发表日期	2021
ISSN	1752-0894
卷号	14 期号:12
英文摘要	[无可用摘要]
语种	英语
来源期刊	Nature Geoscience
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/250824
作者单位	National Water and Climate Center, Natural Resources Conservation Service, US Department of Agriculture, Portland, OR, United States; College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, United States; Water Resources Graduate Program, Oregon State University, Corvallis, OR, United States; Department of Earth, Ocean, and Atmospheric Sciences, University of British Columbia, Vancouver, BC, Canada; Department of Civil and Construction Engineering, Oregon State University, Corvallis, OR, United States; Climate Research Division, Environment and Climate Change Canada, Vancouver, BC, Canada; Computational Earth Sciences Group, Environmental and Earth Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States
推荐引用方式 GB/T 7714	Fleming S.W.,Watson J.R.,Ellenson A.,et al. Machine learning in Earth and environmental science requires education and research policy reforms[J],2021,14(12).
APA	Fleming S.W.,Watson J.R.,Ellenson A.,Cannon A.J.,&Vesselinov V.C..(2021).Machine learning in Earth and environmental science requires education and research policy reforms.Nature Geoscience,14(12).
MLA	Fleming S.W.,et al."Machine learning in Earth and environmental science requires education and research policy reforms".Nature Geoscience 14.12(2021).