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Journal Article

A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems

MPS-Authors
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Migliavacca,  Mirco
Biosphere-Atmosphere Interactions and Experimentation, Dr. M. Migliavacca, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons189169

El-Madany,  Tarek S.
Biosphere-Atmosphere Interactions and Experimentation, Dr. M. Migliavacca, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons211261

Nelson,  Jacob A.
Global Diagnostic Modelling, Dr. Martin Jung, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

External Resource

https://doi.org/10.1111/gcb.16002
(Publisher version)

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Fulltext (public)

BGC3751.pdf
(Publisher version), 5MB

Supplementary Material (public)

BGC3751s1.docx
(Supplementary material), 2MB

Citation

Burchard-Levine, V., Nieto, H., Riaño, D., Kustas, W. P., Migliavacca, M., El-Madany, T. S., et al. (2022). A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems. Global Change Biology, 28(4), 1493-1515. doi:10.1111/gcb.16002.


Cite as: https://hdl.handle.net/21.11116/0000-0009-8551-5
Abstract
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