Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes using solar-induced fluorescence

S.H. Alemohammad; B. Fang; A.G. Konings; J.K. Green; J. Kolassa; C. Prigent; F. Aires; D. Gonzalez Miralles; P. Gentine

doi:10.5194/bg-2016-495-supplement

Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes using solar-induced fluorescence

S.H. Alemohammad
, B. Fang
, A.G. Konings
, J.K. Green
, J. Kolassa
, C. Prigent
, F. Aires
, D. Gonzalez Miralles
, P. Gentine

Earth and Climate

Research output: Contribution to Journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	1-36
Journal	Biogeosciences Discussions
DOIs	https://doi.org/10.5194/bg-2016-495-supplement
Publication status	Published - 2016

Access to Document

10.5194/bg-2016-495-supplement

Persistent URL (handle)

Persistent link

Cite this

Alemohammad, S. H., Fang, B., Konings, A. G., Green, J. K., Kolassa, J., Prigent, C., Aires, F., Gonzalez Miralles, D., & Gentine, P. (2016). Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes using solar-induced fluorescence. Biogeosciences Discussions, 1-36. https://doi.org/10.5194/bg-2016-495-supplement

@article{9936ce90e3e841aea5825832fc2dabf0,

title = "Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes using solar-induced fluorescence",

author = "S.H. Alemohammad and B. Fang and A.G. Konings and J.K. Green and J. Kolassa and C. Prigent and F. Aires and \{Gonzalez Miralles\}, D. and P. Gentine",

year = "2016",

doi = "10.5194/bg-2016-495-supplement",

language = "English",

pages = "1--36",

journal = "Biogeosciences Discussions",

issn = "1810-6285",

publisher = "European Geosciences Union",

}

Alemohammad, SH, Fang, B, Konings, AG, Green, JK, Kolassa, J, Prigent, C, Aires, F, Gonzalez Miralles, D & Gentine, P 2016, 'Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes using solar-induced fluorescence', Biogeosciences Discussions, pp. 1-36. https://doi.org/10.5194/bg-2016-495-supplement

TY - JOUR

T1 - Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes using solar-induced fluorescence

AU - Alemohammad, S.H.

AU - Fang, B.

AU - Konings, A.G.

AU - Green, J.K.

AU - Kolassa, J.

AU - Prigent, C.

AU - Aires, F.

AU - Gonzalez Miralles, D.

AU - Gentine, P.

PY - 2016

Y1 - 2016

U2 - 10.5194/bg-2016-495-supplement

DO - 10.5194/bg-2016-495-supplement

M3 - Article

SN - 1810-6285

SP - 1

EP - 36

JO - Biogeosciences Discussions

JF - Biogeosciences Discussions

ER -