Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling
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Pan, S. Pan, N. Tian, H. Friedlingstein, P. |
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UCAR/NCAR - Library |
Publication Date | 2020-03-31T00:00:00 |
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geoscientificInformation |
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Metadata Date | 2025-07-11T19:20:27.702899 |
Metadata Record Identifier | edu.ucar.opensky::articles:23234 |
Metadata Language | eng; USA |
Suggested Citation | Pan, S., Pan, N., Tian, H., Friedlingstein, P., Sitch, S., Shi, H., Arora, V. K., Haverd, V., Jain, A. K., Kato, E., Lienert, S., Lombardozzi, Danica, Nabel, J. E. M. S., Ottlé, C., Poulter, B., Zaehle, S., Running, S. W.. (2020). Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling. UCAR/NCAR - Library. https://n2t.org/ark:/85065/d7862kn0. Accessed 06 August 2025. |
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