干旱区生态环境知识资源中心(Arid): Robust observations of land-to-atmosphere feedbacks using the information flows of FLUXNET

Arid

DOI	10.1038/s41612-019-0094-4
	Robust observations of land-to-atmosphere feedbacks using the information flows of FLUXNET
	Gerken, Tobias 1,2,6; Ruddell, Benjamin L.2; Yu, Rong 3; Stoy, Paul C.1,7; Drewry, Darren T.4,5
通讯作者	Gerken, Tobias
来源期刊	NPJ CLIMATE AND ATMOSPHERIC SCIENCE
ISSN	2397-3722
出版年	2019
卷号	2
英文摘要	Feedbacks between atmospheric processes like precipitation and land surface fluxes including evapotranspiration are difficult to observe, but critical for understanding the role of the land surface in the Earth System. To quantify global surface-atmosphere feedbacks we use results of a process network (PN) applied to 251 eddy covariance sites from the LaThuile database to train a neural network across the global terrestrial surface. There is a strong land-atmosphere coupling between latent (LE) and sensible heat flux (H) and precipitation (P) during summer months in temperate regions, and between H and P during winter, whereas tropical rainforests show little coupling seasonality. Savanna, shrubland, and other semi-arid ecosystems exhibit strong responses in their coupling behavior based on water availability. Feedback couplings from surface fluxes to P peaks at aridity (P/potential evapotranspiration ETp) values near unity, whereas coupling with respect to clouds, inferred from reduced global radiation, increases as P/ETp approaches zero. Spatial patterns in feedback coupling strength are related to climatic zone and biome type. Information flow statistics highlight hotspots of (1) persistent land-atmosphere coupling in sub-Saharan Africa, (2) boreal summer coupling in the central and southwestern US, Brazil, and the Congo basin and (3) in the southern Andes, South Africa and Australia during austral summer. Our data-driven approach to quantifying land atmosphere coupling strength that leverages the global FLUXNET database and information flow statistics provides a basis for verification of feedback interactions in general circulation models and for predicting locations where land cover change will feedback to climate or weather.
类型	Article
语种	英语
国家	USA
开放获取类型	Green Submitted, gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000496233700001
WOS关键词	ENERGY-BALANCE CLOSURE ; AFTERNOON PRECIPITATION ; CLIMATE-CHANGE ; SOIL-MOISTURE ; SEMIARID ECOSYSTEMS ; UNITED-STATES ; SURFACE ; VARIABILITY ; SENSITIVITY ; SUPPRESSION
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
EI主题词	2019-10-15
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310290
作者单位	1.Montana State Univ, Dept Land Resources & Environm Sci, 334 Leon Johnson Hall, Bozeman, MT 59717 USA; 2.No Arizona Univ, Sch Informat Comp & Cyber Syst, 1295 N Knoles Dr, Flagstaff, AZ 86011 USA; 3.Univ Nebraska, Sch Nat Resources, 101 Hardin Hall, Lincoln, NE 68583 USA; 4.NASA, Jet Prop Lab, Carbon Cycle & Ecosyst Grp, 4800 Oak Grove Dr, Pasadena, CA 91109 USA; 5.Ohio State Univ, Dept Food Agr & Biol Engn, 590 Woody Hayes Dr, Columbus, OH 43210 USA; 6.Penn State Univ, Dept Meteorol & Atmospher Sci, 503 Walker Bldg, University Pk, PA 16802 USA; 7.Univ Wisconsin, Dept Biol Syst Engn, 460 Henry Mall, Madison, WI 53706 USA
推荐引用方式 GB/T 7714	Gerken, Tobias,Ruddell, Benjamin L.,Yu, Rong,et al. Robust observations of land-to-atmosphere feedbacks using the information flows of FLUXNET[J],2019,2.
APA	Gerken, Tobias,Ruddell, Benjamin L.,Yu, Rong,Stoy, Paul C.,&Drewry, Darren T..(2019).Robust observations of land-to-atmosphere feedbacks using the information flows of FLUXNET.NPJ CLIMATE AND ATMOSPHERIC SCIENCE,2.
MLA	Gerken, Tobias,et al."Robust observations of land-to-atmosphere feedbacks using the information flows of FLUXNET".NPJ CLIMATE AND ATMOSPHERIC SCIENCE 2(2019).