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Investigating the control of ocean-atmospheric oscillations over global terrestrial evaporation using a simple supervised learning method

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Abstract
Intra-annual and multi-decadal variations in the Earth's climate are to a large extent driven by periodic oscillations in the coupled state of atmosphere and ocean. Because changes in climate impact terrestrial ecosystems, these ocean-atmospheric oscillations are expected to influence land evaporation as well. In this study, we investigate the control of ocean-atmospheric oscillations over global terrestrial evaporation using a simple learning method and a large dataset of satellite-based observations of climatic variables. Our results show that the simple learning method is able to quantify this control and allows for a better understanding of the link between ocean-atmosphere dynamics and terrestrial bio-geochemical cycles. Finally, our approach may help improve the prediction of changes in the global water cycle.

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MLA
Martens, Brecht, et al. “Investigating the Control of Ocean-Atmospheric Oscillations over Global Terrestrial Evaporation Using a Simple Supervised Learning Method.” 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), IEEE, 2017.
APA
Martens, B., Miralles, D., Dorigo, W. A., Waegeman, W., & Verhoest, N. (2017). Investigating the control of ocean-atmospheric oscillations over global terrestrial evaporation using a simple supervised learning method. In 2017 9th International workshop on the analysis of multitemporal remote sensing images (MultiTemp). New York, NY, USA: IEEE.
Chicago author-date
Martens, Brecht, Diego Miralles, Wouter A Dorigo, Willem Waegeman, and Niko Verhoest. 2017. “Investigating the Control of Ocean-Atmospheric Oscillations over Global Terrestrial Evaporation Using a Simple Supervised Learning Method.” In 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). New York, NY, USA: IEEE.
Chicago author-date (all authors)
Martens, Brecht, Diego Miralles, Wouter A Dorigo, Willem Waegeman, and Niko Verhoest. 2017. “Investigating the Control of Ocean-Atmospheric Oscillations over Global Terrestrial Evaporation Using a Simple Supervised Learning Method.” In 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). New York, NY, USA: IEEE.
Vancouver
1.
Martens B, Miralles D, Dorigo WA, Waegeman W, Verhoest N. Investigating the control of ocean-atmospheric oscillations over global terrestrial evaporation using a simple supervised learning method. In: 2017 9th International workshop on the analysis of multitemporal remote sensing images (MultiTemp). New York, NY, USA: IEEE; 2017.
IEEE
[1]
B. Martens, D. Miralles, W. A. Dorigo, W. Waegeman, and N. Verhoest, “Investigating the control of ocean-atmospheric oscillations over global terrestrial evaporation using a simple supervised learning method,” in 2017 9th International workshop on the analysis of multitemporal remote sensing images (MultiTemp), Brugge, Belgium, 2017.
@inproceedings{8531891,
  abstract     = {Intra-annual and multi-decadal variations in the Earth's climate are to a large extent driven by periodic oscillations in the coupled state of atmosphere and ocean. Because changes in climate impact terrestrial ecosystems, these ocean-atmospheric oscillations are expected to influence land evaporation as well. In this study, we investigate the control of ocean-atmospheric oscillations over global terrestrial evaporation using a simple learning method and a large dataset of satellite-based observations of climatic variables. Our results show that the simple learning method is able to quantify this control and allows for a better understanding of the link between ocean-atmosphere dynamics and terrestrial bio-geochemical cycles. Finally, our approach may help improve the prediction of changes in the global water cycle.},
  author       = {Martens, Brecht and Miralles, Diego and Dorigo, Wouter A and Waegeman, Willem and Verhoest, Niko},
  booktitle    = {2017 9th International workshop on the analysis of multitemporal remote sensing images (MultiTemp)},
  isbn         = {9781538633274},
  language     = {eng},
  location     = {Brugge, Belgium},
  pages        = {3},
  publisher    = {IEEE},
  title        = {Investigating the control of ocean-atmospheric oscillations over global terrestrial evaporation using a simple supervised learning method},
  url          = {http://dx.doi.org/10.1109/multi-temp.2017.8035200},
  year         = {2017},
}

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