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

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 m...

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Autores: GITELSON, A., GODED, I. B., GOECKEDE, M., GOLDSTEIN, A. H., GOUGH, C. M., GOULDEN, M. L., GRAF, A., GRIEBEL, A., GRUENING, C., GRÜNWALD, T., HAMMERLE, A., HAN, S., HAN, X., HANSEN, B. U., HANSON, C., HATAKKA, J., HE, Y., HEHN, M., HEINESCH, B., HINKO-NAJERA, N., HÖRTNAGL, L., HUTLEY, L., IBROM, A., IKAWA, H., JACKOWICZ-KORCZYNSKI, M., JANOUS, D., JANS, W., JASSAL, R., JIANG, S., KATO, T., KHOMIK, M., KLATT, J., KNOHL, A., KNOX, S., KOBAYASHI, H., KOERBER, G., KOLLE, O., KOSUGI, Y., KOTANI, A., KOWALSKI, A., KRUIJT, B., KURBATOVA, J., KUTSCH, W. L., KWON, H., LAUNIAINEN, S., LAURILA, T., LAW, B., LEUNING, R., LI, Y., LIDDELL, M., LIMOUSIN, J., LION, M., LISKA, A., LOHILA, A., LÓPEZ-BALLESTEROS, A., LÓPEZ-BLANCO, E., LOUBET, B., LOUSTAU, D., LUCAS-MOFFAT, A., LÜERS, J., MA, S., MACFARLANE, C., MAGLIULO, V., MAIER, R., MAMMARELLA, I., MANCA, G., MARCOLLA, B., MARGOLIS, H., MARRAS, S., MASSMAN, W., MASTEPANOV, M., MATAMALA, R., MATTHES, J. H., MAZZENGA, F., MCCAUGHEY, H., MCHUGH, I., MCMILLAN, A. M. S., MERBOLD, L., MEYER, W., MEYERS, T., MILLER, S. D., MINERBI, S., MODEROW, U., MONSON, R. K., MONTAGNANI, L., MOORE, C. E., MOORS, E., MOREAUX, V., MOUREAUX, C., MUNGER, J. W., NAKAI, T., NEIRYNCK, J., NESIC, Z., NICOLINI, G., NOORMETS, A., NORTHWOOD, M., NOSETTO, M., NOUVELLON, Y., NOVICK, K., WALTER, O., OLESEN, J. E., OURCIVAL, J., PAPUGA, S. A., PARMENTIER, F., PAUL-LIMOGES, E., PAVELKA, M., PEICHL, M., PENDALL, E., PHILLIPS, R. P., PILEGAARD, K., PIRK, N., POSSE, G., POWELL, T., PRASSE, H., PROBER, S. M., RAMBAL, S., RANNIK, U., RAZ-YASEEF, N., REED, D., RESCO DE DIOS, V., RESTREPO-COUPE, N., REVERTER, B. R., ROLAND, M., SABBATINI, S., SACHS, T., SALESKA, S. R., SÁNCHEZ-CAÑETE, E. P., SANCHEZ-MEJIA, Z. M., SCHMID, H. P., SCHMIDT, M., SCHNEIDER, K., SCHRADER, F., SCHRODER, I., SCOTT, R. L., SEDLÁK, P., SERRANO-ORTÍZ, P., SHAO, C., SHI, P., SHIRONYA, I., SIEBICKE, L., SIGUT, L., SILBERSTEIN, R., SIRCA, C., SPANO, D., STEINBRECHER, R., STEVENS, R. M., STURTEVANT, C., SUYKER, A., TAGESSON, T., TAKANASHI, S., TANG, Y., TAPPER, N., THOM, J., TIEDEMANN, F., TOMASSUCCI, M., TUOVINEN, J., URBANSKI, S., VALENTINI, R., VAN DER MOLEN, M., VAN GORSEL, E., VAN HUISSTEDEN, K., VARLAGIN, A., VERFAILLIE, J., VESALA, T., VINCKE, C., VITALE, D., VYGODSKAYA, N., WALKER, J. P., WALTER-SHEA, E., WANG, H., WEBER, R., WESTERMANN, S., WILLE, C., WOFSY, S., WOHLFAHRT, G., WOLF, S., WOODGATE, W., YUELIN, L., ZAMPEDRI, R., ZHANG, J., ZHOU, G., ZONA, D., AGARWAL, D., BIRAUD, S., TORN, M., PAPALE, D., PASTORELLO, G., TROTTA, C., CANFORA, E., CHU, H., CHRISTIANSON, D., CHEAH, Y., POINDEXTER, C., CHEN, J., ELBASHANDY, A., HUMPHREY, M., ISAAC, P., POLIDORI, D., RIBECA, A., VAN INGEN, C., ZHANG, L., AMIRO, B., AMMANN, C., ARAIN, M. A., ARDÖ, J., ARKEBAUER, T., ARNDT, S. K., ARRIGA, N., AUBINET, M., AURELA, M., BALDOCCHI, D., BARR, A., BEAMESDERFER, E., BELELLI, L. M., BERGERON, O., BERINGER, J., BERNHOFER, C., BERVEILLER, D., BILLESBACH, D., BLACK, T. A., BLANKEN, P. D., BOHRER, G., BOIKE, J., BOLSTAD, P. V., BONAL, D., BONNEFOND, J., BOWLING, D. R., ROSVEL, B., BRODEUR, J., BRÜMMER, C., BUCHMANN, N., BURBAN, B., BURNS, S. P., BUYSSE, P., CALE, P., CAVAGNA, M., CELLIER, P., CHEN, S., CHINI, I., CHRISTENSEN, T. R., CLEVERLY, J., COLLALTI, A., CONSALVO, C., COOK, B. D., COOK, D., COURSOLLE, C., CREMONESE, E., CURTIS, P. S., D'ANDREA, E., ROCHA, H. da, DAI, X., DAVIS, K. J., DE CINTI, B., DE GRANDCOURT, A., DE LIGNE, A., OLIVEIRA JUNIOR, R. C. de, DELPIERRE, N., DESAI, A. R., DI BELLA, C. M., DI TOMMASI, P., DOLMAN, H., DOMINGO, F., DONG, G., DORE, S., DUCE, P., DUFRÊNE, E., DUNN, A., DUSEK, J., EAMUS, D., EICHELMANN, U., ELKHIDIR, H. A. M., EUGSTER, W., EWENZ, C. M., EWERS, B., FAMULARI, D., FARES, S., FEIGENWINTER, I., FEITZ, A., FENSHOLT, R., FILIPPA, G., FISCHER, M., FRANK, J., GALVAGNO, M., GHARUN, M., GIANELLE, D., GIELEN, B., GIOLI, B.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Brasil
Institución:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
Repositorio:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Idioma:inglés
OAI Identifier:oai:www.alice.cnptia.embrapa.br:doc/1125053
Acceso en línea:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125053
https://doi.org/10.1038/s41597-020-0534-3
Access Level:acceso abierto
Palabra clave:FLUXNET2015
Biological measurements
Remote sensing studies
Ecosystem respiration and photosynthetic
Measurement device
Terrestrial biome
Sensoriamento Remoto
Carbon dioxide
Ecophysiology
Net ecosystem exchange
Water
Energy
Eddy covariance
Descripción
Sumario: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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