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

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

doi:10.1038/s41597-023-02473-9

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

Authors

Xie, Mingjuan
External Organizations;

Ma, Xiaofei
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Wang, Yuangang
External Organizations;

Li, Chaofan
External Organizations;

Shi, Haiyang
External Organizations;

Yuan, Xiuliang
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Hellwich, Olaf
External Organizations;

Chen, Chunbo
External Organizations;

Zhang, Wenqiang
External Organizations;

Zhang, Chen
External Organizations;

Ling, Qing
External Organizations;

Gao, Ruixiang
External Organizations;

Zhang, Yu
External Organizations;

Ochege, Friday Uchenna
External Organizations;

Frankl, Amaury
External Organizations;

De Maeyer, Philippe
External Organizations;

Buchmann, Nina
External Organizations;

Feigenwinter, Iris
External Organizations;

Olesen, Jørgen E.
External Organizations;

Juszczak, Radoslaw
External Organizations;

Jacotot, Adrien
External Organizations;

Korrensalo, Aino
External Organizations;

Pitacco, Andrea
External Organizations;

Varlagin, Andrej
External Organizations;

Shekhar, Ankit
External Organizations;

Lohila, Annalea
External Organizations;

Carrara, Arnaud
External Organizations;

Brut, Aurore
External Organizations;

Kruijt, Bart
External Organizations;

Loubet, Benjamin
External Organizations;

Heinesch, Bernard
External Organizations;

Chojnicki, Bogdan
External Organizations;

Helfter, Carole
External Organizations;

Vincke, Caroline
External Organizations;

Shao, Changliang
External Organizations;

Bernhofer, Christian
External Organizations;

Brümmer, Christian
External Organizations;

Wille, Christian
External Organizations;

Tuittila, Eeva-Stiina
External Organizations;

Nemitz, Eiko
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Meggio, Franco
External Organizations;

Dong, Gang
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Lanigan, Gary
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Niedrist, Georg
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Wohlfahrt, Georg
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Zhou, Guoyi
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Goded, Ignacio
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Gruenwald, Thomas
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Olejnik, Janusz
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Jansen, Joachim
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Neirynck, Johan
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Tuovinen, Juha-Pekka
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Zhang, Junhui
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Klumpp, Katja
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Pilegaard, Kim
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Šigut, Ladislav
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Klemedtsson, Leif
External Organizations;

Tezza, Luca
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Hörtnagl, Lukas
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Urbaniak, Marek
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Roland, Marilyn
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Schmidt, Marius
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Sutton, Mark A.
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Hehn, Markus
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Saunders, Matthew
External Organizations;

Mauder, Matthias
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Aurela, Mika
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Korkiakoski, Mika
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Du, Mingyuan
External Organizations;

Vendrame, Nadia
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Kowalska, Natalia
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Leahy, Paul G.
External Organizations;

Alekseychik, Pavel
External Organizations;

Shi, Peili
External Organizations;

Weslien, Per
External Organizations;

Chen, Shiping
External Organizations;

Fares, Silvano
External Organizations;

Friborg, Thomas
External Organizations;

Tallec, Tiphaine
External Organizations;

Kato, Tomomichi
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/persons/resource/tsachs

Sachs, T.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Maximov, Trofim
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di Cella, Umberto Morra
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Moderow, Uta
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Li, Yingnian
External Organizations;

He, Yongtao
External Organizations;

Kosugi, Yoshiko
External Organizations;

Luo, Geping
External Organizations;

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Fulltext (public)

5022777.pdf
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Citation

Xie, M., Ma, X., Wang, Y., Li, C., Shi, H., Yuan, X., Hellwich, O., Chen, C., Zhang, W., Zhang, C., Ling, Q., Gao, R., Zhang, Y., Ochege, F. U., Frankl, A., De Maeyer, P., Buchmann, N., Feigenwinter, I., Olesen, J. E., Juszczak, R., Jacotot, A., Korrensalo, A., Pitacco, A., Varlagin, A., Shekhar, A., Lohila, A., Carrara, A., Brut, A., Kruijt, B., Loubet, B., Heinesch, B., Chojnicki, B., Helfter, C., Vincke, C., Shao, C., Bernhofer, C., Brümmer, C., Wille, C., Tuittila, E.-S., Nemitz, E., Meggio, F., Dong, G., Lanigan, G., Niedrist, G., Wohlfahrt, G., Zhou, G., Goded, I., Gruenwald, T., Olejnik, J., Jansen, J., Neirynck, J., Tuovinen, J.-P., Zhang, J., Klumpp, K., Pilegaard, K., Šigut, L., Klemedtsson, L., Tezza, L., Hörtnagl, L., Urbaniak, M., Roland, M., Schmidt, M., Sutton, M. A., Hehn, M., Saunders, M., Mauder, M., Aurela, M., Korkiakoski, M., Du, M., Vendrame, N., Kowalska, N., Leahy, P. G., Alekseychik, P., Shi, P., Weslien, P., Chen, S., Fares, S., Friborg, T., Tallec, T., Kato, T., Sachs, T., Maximov, T., di Cella, U. M., Moderow, U., Li, Y., He, Y., Kosugi, Y., Luo, G. (2023): Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing. - Scientific Data, 10, 587.
https://doi.org/10.1038/s41597-023-02473-9

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5022777

Abstract

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.