Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing

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  • Mingjuan Xie
  • Xiaofei Ma
  • Yuangang Wang
  • Chaofan Li
  • Haiyang Shi
  • Xiuliang Yuan
  • Olaf Hellwich
  • Chunbo Chen
  • Wenqiang Zhang
  • Chen Zhang
  • Qing Ling
  • Ruixiang Gao
  • Yu Zhang
  • Friday Uchenna Ochege
  • Amaury Frankl
  • Philippe De Maeyer
  • Nina Buchmann
  • Iris Feigenwinter
  • Jørgen E. Olesen
  • Radoslaw Juszczak
  • Adrien Jacotot
  • Aino Korrensalo
  • Andrea Pitacco
  • Andrej Varlagin
  • Ankit Shekhar
  • Annalea Lohila
  • Arnaud Carrara
  • Aurore Brut
  • Bart Kruijt
  • Benjamin Loubet
  • Bernard Heinesch
  • Bogdan Chojnicki
  • Carole Helfter
  • Caroline Vincke
  • Changliang Shao
  • Christian Bernhofer
  • Christian Brümmer
  • Christian Wille
  • Eeva Stiina Tuittila
  • Eiko Nemitz
  • Franco Meggio
  • Gang Dong
  • Gary Lanigan
  • Georg Niedrist
  • Georg Wohlfahrt
  • Guoyi Zhou
  • Ignacio Goded
  • Thomas Gruenwald
  • Janusz Olejnik
  • Joachim Jansen
  • Johan Neirynck
  • Juha Pekka Tuovinen
  • Junhui Zhang
  • Katja Klumpp
  • Kim Pilegaard
  • Ladislav Šigut
  • Leif Klemedtsson
  • Luca Tezza
  • Lukas Hörtnagl
  • Marek Urbaniak
  • Marilyn Roland
  • Marius Schmidt
  • Mark A. Sutton
  • Markus Hehn
  • Matthew Saunders
  • Matthias Mauder
  • Mika Aurela
  • Mika Korkiakoski
  • Mingyuan Du
  • Nadia Vendrame
  • Natalia Kowalska
  • Paul G. Leahy
  • Pavel Alekseychik
  • Peili Shi
  • Per Weslien
  • Shiping Chen
  • Silvano Fares
  • Tiphaine Tallec
  • Tomomichi Kato
  • Torsten Sachs
  • Trofim Maximov
  • Umberto Morra di Cella
  • Uta Moderow
  • Yingnian Li
  • Yongtao He
  • Yoshiko Kosugi
  • Geping Luo

Simulating the carbon-water fluxes at more widely distributed meteorological stations based on the sparsely and unevenly distributed eddy covariance flux stations is needed to accurately understand the carbon-water cycle of terrestrial ecosystems. We established a new framework consisting of machine learning, determination coefficient (R2), Euclidean distance, and remote sensing (RS), to simulate the daily net ecosystem carbon dioxide exchange (NEE) and water flux (WF) of the Eurasian meteorological stations using a random forest model or/and RS. The daily NEE and WF datasets with RS-based information (NEE-RS and WF-RS) for 3774 and 4427 meteorological stations during 2002–2020 were produced, respectively. And the daily NEE and WF datasets without RS-based information (NEE-WRS and WF-WRS) for 4667 and 6763 meteorological stations during 1983–2018 were generated, respectively. For each meteorological station, the carbon-water fluxes meet accuracy requirements and have quasi-observational properties. These four carbon-water flux datasets have great potential to improve the assessments of the ecosystem carbon-water dynamics.

OriginalsprogEngelsk
Artikelnummer587
TidsskriftScientific Data
Vol/bind10
Antal sider18
ISSN2052-4463
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
This research was supported by the Tianshan Talent Cultivation (Grant No. 2022TSYCLJ0001), the Key Projects of the Natural Science Foundation of Xinjiang Autonomous Region (Grant No. 2022D01D01), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA20060302), the High-End Foreign Experts Project and the China Scholarship Council. Mingjuan Xie was supported by a grant from the program of China Scholarship Council (ICPIT–International Cooperative Program for Innovative Talents, Grant No. 202110630005) during her stay in Ghent University, Gent, Belgium. Andrej Varlagin was supported by Russian Science Foundation (project 21-14-00209). Iris Feigenwinter was funded by the EU project SUPER-G (Grant No. 774124) and the SNF project ICOS-CH (Grant No. 20F120_198227). Ankit Shekhar acknowledges funding by the ETH Zürich project FEVER ETH-27 19-1. The University of Padova (AP, FM, LT) carried out the study within the Agritech National Research Center and received funding from the European Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) – MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4 – D.D. 1032 17/06/2022, CN00000022). The part of this work was carried out within the framework of the state assignment of the Ministry of Education and Science of Russia under the project “Study of biogeochemical cycles and adaptive reactions of plants of boreal and arctic ecosystems of northeastern Russia”, AAAA-A21-121012190034-2. We thank the many people who provided the metadata for this research. The MCD15A3H data, the MOD09GA data, the MCD12Q1 data and the MOD16A2 data were provided by the NASA EOSDIS Land Processes DAAC. The GOSAT dataset was obtained via the GOSAT Data Archive Service, and the GOSAT project is a joint effort promoted by the JAXA, the NIES and MOE. The DSR dataset during 1983–2018 and some of the flux station data were provided by the National Tibetan Plateau Data Center (http://data.tpdc.ac.cn). Some of the flux station data were shared by the European Fluxes Database Cluster (http://www.europe-fluxdata.eu/home) and the FLUXNET, whose data providers include Adriano Conte, Adrien Jacotot, Aino Korrensalo, Alexander Knohl, Anders Lindroth, Andrea Pitacco, Andreas Ibrom, Andrej Varlagin, Ankit Shekhar, Annalea Lohila, Anne De Ligne, Arnaud Carrara, Aurore Brut, Axel Don, Ayumi Kotani, Bart Kruijt, Benjamin Loubet, Bernard Heinesch, Bogdan Chojnicki, Carlo Calfapietra, Carole Helfter, Caroline Vincke, Casimiro Pio, Changliang Shao, Christian Bernhofer, Christian Brümmer, Christian Markwitz, Christian Wille, Christoph Ammann, Claire Campbell, Cristina Gimeno, Dan Yakir, Daniel Berveiller, Daniela Franz, Dario Papale, Denis Loustau, Donatella Spano, Edoardo Cremonese, Eeva-Stiina Tuittila, Eiko Nemitz, Eric Ceschia, Eric Grehan, Eric Larmanou, Fabio Turco, Fanny Kittler, Fatima LAGGOUN, Filipe Costa e Silva, Francesco Mazzenga, Franco Meggio, Franco Miglietta, Francois Gastal, Franziska Koebsch, Frédéric Bornet, Frédéric Guibal, Frederik Schrader, Gang Dong, Gary J. Lanigan, Georg Niedrist, Georg Wohlfahrt, Gerald Jurasinski, Gerard Kiely, Giorgio Matteucci, Giovanni Manca, Giuseppe Scarascia Mugnozza, Guillaume Simioni, Guoyi Zhou, Hans Peter Schmid, Huimin Wang, Ignacio Goded, Iris Feigenwinter, Ivan Janssens, Thomas Gruenwald, Jan Elbers, Jan Segers, Janina Klatt, Janusz Olejnik, Jean-Christophe Calvet, Jean-Marc Limousin, Jean-Pierre Delorme, Jiri Dusek, Joachim Jansen, Joao Santos Pereira, Joel Leonard, Jørgen E. Olesen, Johan Neirynck, John Moncrieff, Juha Hatakka, Juha-Pekka Tuovinen, Junhua Yan, Junhui Zhang, Jutta Holst, Juuso Rainne, Kari Minkkinen, Karl Schneider, Katerina Havrankova, Katja KLUMPP, Kim Pilegaard, Ladislav Šigut, Leif Klemedtsson, Lenka Foltynova, Louis Gourlez de la Motte, Luca Tezza, Lukas Hörtnagl, Lutz Merbold, Marek Urbaniak, Mana Gharun, Margaret Anderson-Dunn, Marian Pavelka, Marilyn Roland, Marius Schmidt, Mark A. Sutton, Markus Hehn, Marta Galvagno, Mathias Goeckede, Mathilde Jammet, Matthew Saunders, Matthew Wilkinson, Matthias Cuntz, Matthias Mauder, Michal Heliasz, Michel Vennetier, Mika Aurela, Mika Korkiakoski, Mike Jones, Mingyuan Du, Mirco Migliavacca, Monique Carnol, Nadia Vendrame, Natalia Kowalska, Nelius Foley, Nicola Arriga, Nina Buchmann, Olaf Kolle, Olivier Marloie, Paolo Stefani, Pasi Kolari, Patrick Crill (Dept of Geological Sciences, Stockholm University, Sweden), Paul G. Leahy, Pauline Buysse, Pavel Alekseychik, Peili Shi, Per Weslien, Radek Czerny, Radoslaw Juszczak, Rainer Steinbrecher, Regine Maier, Rémy Soubie, Richard Harding, Rober Falcimagne, Robert Clement, Satoru Takanashi, Sebastien Gogo, Shijie Han, Shiping Chen, Silvano Fares, Sofia Cerasoli, Tanguy Manise, Tarek El-Madany, Thomas Friborg, Tim De Meulder, Timo Vesala, Tiphaine Tallec, Tiziano Sorgi, Tomomichi Kato, Torsten Sachs, Trofim Maximov, Tuomas Laurila, Umberto Morra di Cella, Uta Moderow, Valerio Moretti, Vincenzo Magliulo, Wilma Jans, Xianzhou Zhang, Xiaoli Fu, Yanhong Tang, Yi Wang, Yingnian Li, Yongtao He, Yoshiko Kosugi, Zoltan Nagy, and Zsolt Csintalan.

Funding Information:
This research was supported by the Tianshan Talent Cultivation (Grant No. 2022TSYCLJ0001), the Key Projects of the Natural Science Foundation of Xinjiang Autonomous Region (Grant No. 2022D01D01), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA20060302), the High-End Foreign Experts Project and the China Scholarship Council. Mingjuan Xie was supported by a grant from the program of China Scholarship Council (ICPIT–International Cooperative Program for Innovative Talents, Grant No. 202110630005) during her stay in Ghent University, Gent, Belgium. Andrej Varlagin was supported by Russian Science Foundation (project 21-14-00209). Iris Feigenwinter was funded by the EU project SUPER-G (Grant No. 774124) and the SNF project ICOS-CH (Grant No. 20F120_198227). Ankit Shekhar acknowledges funding by the ETH Zürich project FEVER ETH-27 19-1. The University of Padova (AP, FM, LT) carried out the study within the Agritech National Research Center and received funding from the European Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) – MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4 – D.D. 1032 17/06/2022, CN00000022). The part of this work was carried out within the framework of the state assignment of the Ministry of Education and Science of Russia under the project “Study of biogeochemical cycles and adaptive reactions of plants of boreal and arctic ecosystems of northeastern Russia”, AAAA-A21-121012190034-2. We thank the many people who provided the metadata for this research. The MCD15A3H data, the MOD09GA data, the MCD12Q1 data and the MOD16A2 data were provided by the NASA EOSDIS Land Processes DAAC. The GOSAT dataset was obtained via the GOSAT Data Archive Service, and the GOSAT project is a joint effort promoted by the JAXA, the NIES and MOE. The DSR dataset during 1983–2018 and some of the flux station data were provided by the National Tibetan Plateau Data Center ( http://data.tpdc.ac.cn ). Some of the flux station data were shared by the European Fluxes Database Cluster ( http://www.europe-fluxdata.eu/home ) and the FLUXNET, whose data providers include Adriano Conte, Adrien Jacotot, Aino Korrensalo, Alexander Knohl, Anders Lindroth, Andrea Pitacco, Andreas Ibrom, Andrej Varlagin, Ankit Shekhar, Annalea Lohila, Anne De Ligne, Arnaud Carrara, Aurore Brut, Axel Don, Ayumi Kotani, Bart Kruijt, Benjamin Loubet, Bernard Heinesch, Bogdan Chojnicki, Carlo Calfapietra, Carole Helfter, Caroline Vincke, Casimiro Pio, Changliang Shao, Christian Bernhofer, Christian Brümmer, Christian Markwitz, Christian Wille, Christoph Ammann, Claire Campbell, Cristina Gimeno, Dan Yakir, Daniel Berveiller, Daniela Franz, Dario Papale, Denis Loustau, Donatella Spano, Edoardo Cremonese, Eeva-Stiina Tuittila, Eiko Nemitz, Eric Ceschia, Eric Grehan, Eric Larmanou, Fabio Turco, Fanny Kittler, Fatima LAGGOUN, Filipe Costa e Silva, Francesco Mazzenga, Franco Meggio, Franco Miglietta, Francois Gastal, Franziska Koebsch, Frédéric Bornet, Frédéric Guibal, Frederik Schrader, Gang Dong, Gary J. Lanigan, Georg Niedrist, Georg Wohlfahrt, Gerald Jurasinski, Gerard Kiely, Giorgio Matteucci, Giovanni Manca, Giuseppe Scarascia Mugnozza, Guillaume Simioni, Guoyi Zhou, Hans Peter Schmid, Huimin Wang, Ignacio Goded, Iris Feigenwinter, Ivan Janssens, Thomas Gruenwald, Jan Elbers, Jan Segers, Janina Klatt, Janusz Olejnik, Jean-Christophe Calvet, Jean-Marc Limousin, Jean-Pierre Delorme, Jiri Dusek, Joachim Jansen, Joao Santos Pereira, Joel Leonard, Jørgen E. Olesen, Johan Neirynck, John Moncrieff, Juha Hatakka, Juha-Pekka Tuovinen, Junhua Yan, Junhui Zhang, Jutta Holst, Juuso Rainne, Kari Minkkinen, Karl Schneider, Katerina Havrankova, Katja KLUMPP, Kim Pilegaard, Ladislav Šigut, Leif Klemedtsson, Lenka Foltynova, Louis Gourlez de la Motte, Luca Tezza, Lukas Hörtnagl, Lutz Merbold, Marek Urbaniak, Mana Gharun, Margaret Anderson-Dunn, Marian Pavelka, Marilyn Roland, Marius Schmidt, Mark A. Sutton, Markus Hehn, Marta Galvagno, Mathias Goeckede, Mathilde Jammet, Matthew Saunders, Matthew Wilkinson, Matthias Cuntz, Matthias Mauder, Michal Heliasz, Michel Vennetier, Mika Aurela, Mika Korkiakoski, Mike Jones, Mingyuan Du, Mirco Migliavacca, Monique Carnol, Nadia Vendrame, Natalia Kowalska, Nelius Foley, Nicola Arriga, Nina Buchmann, Olaf Kolle, Olivier Marloie, Paolo Stefani, Pasi Kolari, Patrick Crill (Dept of Geological Sciences, Stockholm University, Sweden), Paul G. Leahy, Pauline Buysse, Pavel Alekseychik, Peili Shi, Per Weslien, Radek Czerny, Radoslaw Juszczak, Rainer Steinbrecher, Regine Maier, Rémy Soubie, Richard Harding, Rober Falcimagne, Robert Clement, Satoru Takanashi, Sebastien Gogo, Shijie Han, Shiping Chen, Silvano Fares, Sofia Cerasoli, Tanguy Manise, Tarek El-Madany, Thomas Friborg, Tim De Meulder, Timo Vesala, Tiphaine Tallec, Tiziano Sorgi, Tomomichi Kato, Torsten Sachs, Trofim Maximov, Tuomas Laurila, Umberto Morra di Cella, Uta Moderow, Valerio Moretti, Vincenzo Magliulo, Wilma Jans, Xianzhou Zhang, Xiaoli Fu, Yanhong Tang, Yi Wang, Yingnian Li, Yongtao He, Yoshiko Kosugi, Zoltan Nagy, and Zsolt Csintalan.

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