The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

被引:1040
作者
Pastorello, Gilberto [1 ]
Trotta, Carlo [2 ]
Canfora, Eleonora [2 ,3 ]
Chu, Housen [4 ]
Christianson, Danielle [1 ]
Cheah, You-Wei [1 ]
Poindexter, Cristina [5 ]
Chen, Jiquan [6 ]
Elbashandy, Abdelrahman [1 ]
Humphrey, Marty [7 ]
Isaac, Peter [8 ]
Polidori, Diego [2 ,3 ]
Ribeca, Alessio [2 ,3 ]
van Ingen, Catharine [1 ]
Zhang, Leiming [9 ]
Amiro, Brian [10 ]
Ammann, Christof [11 ]
Arain, M. Altaf [12 ]
Ardo, Jonas [13 ]
Arkebauer, Timothy [14 ]
Arndt, Stefan K. [15 ]
Arriga, Nicola [16 ,17 ]
Aubinet, Marc [18 ]
Aurela, Mika [19 ]
Baldocchi, Dennis [20 ]
Barr, Alan [21 ,22 ]
Beamesderfer, Eric [12 ]
Marchesini, Luca Belelli [23 ,24 ]
Bergeron, Onil [25 ]
Beringer, Jason [26 ]
Bernhofer, Christian [27 ]
Berveiller, Daniel [28 ]
Billesbach, Dave [29 ]
Black, Thomas Andrew [30 ]
Blanken, Peter D. [31 ]
Bohrer, Gil [32 ]
Boike, Julia [33 ,34 ]
Bolstad, Paul V. [35 ]
Bonal, Damien [36 ]
Bonnefond, Jean-Marc [37 ]
Bowling, David R. [38 ]
Bracho, Rosvel [39 ]
Brodeur, Jason [40 ]
Bruemmer, Christian [41 ]
Buchmann, Nina [42 ]
Burban, Benoit [43 ]
Burns, Sean P. [31 ,44 ]
Buysse, Pauline [45 ]
Cale, Peter [46 ]
Cavagna, Mauro [23 ]
机构
[1] Lawrence Berkeley Natl Lab, Computat Res Div, Berkeley, CA 94720 USA
[2] Univ Tuscia, DIBAF, I-01100 Viterbo, Italy
[3] Climate Change Fdn CMCC, Euro Mediterranean Ctr, I-73100 Lecce, Italy
[4] Lawrence Berkeley Natl Lab, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA
[5] Calif State Univ Sacramento, Dept Civil Engn, Sacramento, CA 95819 USA
[6] Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI 48823 USA
[7] Univ Virginia, Dept Comp Sci, Charlottesville, VA 22904 USA
[8] TERN Ecosyst Proc, Menzies Creek, Vic 3259, Australia
[9] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
[10] Univ Manitoba, Dept Soil Sci, Winnipeg, MB R3T2N2, Canada
[11] Agroscope Res Inst, Dept Agroecol & Environm, CH-8046 Zurich, Switzerland
[12] McMaster Univ, Sch Geog & Earth Sci, Hamilton, ON L8S4K1V, Canada
[13] Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22362 Lund, Sweden
[14] Univ Nebraska, Dept Agron & Hort, Lincoln, NE 68583 USA
[15] Univ Melbourne, Sch Ecosyst & Forest Sci, Richmond, Vic 3121, Australia
[16] Univ Antwerp, Res Grp PLECO, Dept Biol, B-2610 Antwerp, Belgium
[17] European Commiss, Joint Res Ctr, I-21027 Ispra, Italy
[18] Univ Liege, TERRA Teaching & Res Ctr, B-5030 Gembloux, Belgium
[19] Finnish Meteorol Inst, Helsinki 00560, Finland
[20] Univ Calif Berkeley, ESPM, Berkeley, CA 94720 USA
[21] Univ Saskatchewan, Global Inst Water Secur, Saskatoon, SK S7N3H5, Canada
[22] Environm & Climate Change Canada, Climate Res Div, Saskatoon, SK S7N3H5, Canada
[23] Fdn Edmund Mach, Res & Innovat Ctr, Dept Sustainable Agroecosyst & Bioresources, I-38010 San Michele All Adige, Italy
[24] RUDN Univ, Agr Technol Inst, Dept Landscape Design & Sustainable Ecosyst, Moscow 117198, Russia
[25] Minist Dev Durable Environm & Lutte Changements C, Direct Marche Carbone, Quebec City, PQ G1R5V7, Canada
[26] Univ Western Australia, Sch Agr & Environm, Crawley 6009, Australia
[27] Tech Univ Dresden, Inst Hydrol & Meteorol, D-01737 Tharandt, Germany
[28] Univ Paris Saclay, CNRS, AgroParisTech, Ecol Systemat & Evolut, F-91405 Orsay, France
[29] Univ Nebraska, Biol Syst Engn, Lincoln, NE 68583 USA
[30] Univ British Columbia, Fac Land & Food Syst, Vancouver, BC V6T1Z4, Canada
[31] Univ Colorado, Dept Geog, Boulder, CO 80309 USA
[32] Ohio State Univ, Dept Civil Environm & Geodet Engn, Columbus, OH 43210 USA
[33] Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, D-14482 Potsdam, Germany
[34] Humboldt Univ, Geog Dept, Berlin, Germany
[35] Univ Minnesota, Forest Resources, St Paul, MN 55108 USA
[36] Univ Lorraine, AgroParisTech, INRAE, UMR Silva, F-54000 Nancy, France
[37] INRAE, Bordeaux Sci Agro, ISPA, F-33140 Villenave Dornon, France
[38] Univ Utah, Sch Biol Sci, Salt Lake City, UT 84112 USA
[39] Univ Florida, Sch Forest Resources & Conservat, Gainesville, FL 32611 USA
[40] McMaster Univ, McMaster Univ Lib, Hamilton, ON L8S4L6, Canada
[41] Fed Res Inst Rural Areas Forestry & Fisheries, Thunen Inst Climate Smart Agr, D-38116 Braunschweig, Germany
[42] Swiss Fed Inst Technol, Dept Environm Syst Sci, CH-8092 Zurich, Switzerland
[43] INRAE UMR ECOFOG, Kourou 97387, French Guiana
[44] Natl Ctr Atmospher Res, Mesoscale & Microscale Meteorol Lab, Boulder, CO 80301 USA
[45] Univ Paris Saclay, INRAE, AgroParisTech, UMR ECOSYS, F-78850 Thiverval Grignon, France
[46] Australian Landscape Trust, Renmark, SA 5341, Australia
[47] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
[48] Aarhus Univ, Arctic Res Ctr, Dept Biosci, DK-4000 Roskilde, Denmark
[49] Univ Technol Sydney, Sch Life Sci, Sydney, NSW 2007, Australia
[50] Univ Technol, Terr Ecosyst Res Network TERN, Sydney, NSW 2007, Australia
关键词
NET ECOSYSTEM EXCHANGE; ENERGY-BALANCE CLOSURE; INTERANNUAL VARIABILITY; CARBON-DIOXIDE; FLUX; ASSIMILATION; RESPIRATION; UNCERTAINTY; STORAGE; SITES;
D O I
10.1038/s41597-020-0534-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
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页数:27
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