Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem

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Standard

Inference of spatial heterogeneity in surface fluxes from eddy covariance data : A case study from a subarctic mire ecosystem. / Levy, Peter; Drewer, Julia; Jammet, Mathilde; Leeson, Sarah; Friborg, Thomas; Skiba, Ute; van Oijen, Marcel.

I: Agricultural and Forest Meteorology, Bind 280, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Levy, P, Drewer, J, Jammet, M, Leeson, S, Friborg, T, Skiba, U & van Oijen, M 2020, 'Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem', Agricultural and Forest Meteorology, bind 280. https://doi.org/10.1016/j.agrformet.2019.107783

APA

Levy, P., Drewer, J., Jammet, M., Leeson, S., Friborg, T., Skiba, U., & van Oijen, M. (2020). Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem. Agricultural and Forest Meteorology, 280. https://doi.org/10.1016/j.agrformet.2019.107783

Vancouver

Levy P, Drewer J, Jammet M, Leeson S, Friborg T, Skiba U o.a. Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem. Agricultural and Forest Meteorology. 2020;280. https://doi.org/10.1016/j.agrformet.2019.107783

Author

Levy, Peter ; Drewer, Julia ; Jammet, Mathilde ; Leeson, Sarah ; Friborg, Thomas ; Skiba, Ute ; van Oijen, Marcel. / Inference of spatial heterogeneity in surface fluxes from eddy covariance data : A case study from a subarctic mire ecosystem. I: Agricultural and Forest Meteorology. 2020 ; Bind 280.

Bibtex

@article{1f8c7aec8c4d496c9c79ebf6b41be7b5,
title = "Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem",
keywords = "Spatial heterogeneity, Methane flux, Advection, Micrometeorology, Statistical modelling, Attribution",
author = "Peter Levy and Julia Drewer and Mathilde Jammet and Sarah Leeson and Thomas Friborg and Ute Skiba and {van Oijen}, Marcel",
year = "2020",
doi = "10.1016/j.agrformet.2019.107783",
language = "English",
volume = "280",
journal = "Agricultural and Forest Meteorology",
issn = "0168-1923",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Inference of spatial heterogeneity in surface fluxes from eddy covariance data

T2 - A case study from a subarctic mire ecosystem

AU - Levy, Peter

AU - Drewer, Julia

AU - Jammet, Mathilde

AU - Leeson, Sarah

AU - Friborg, Thomas

AU - Skiba, Ute

AU - van Oijen, Marcel

PY - 2020

Y1 - 2020

KW - Spatial heterogeneity

KW - Methane flux

KW - Advection

KW - Micrometeorology

KW - Statistical modelling

KW - Attribution

U2 - 10.1016/j.agrformet.2019.107783

DO - 10.1016/j.agrformet.2019.107783

M3 - Journal article

VL - 280

JO - Agricultural and Forest Meteorology

JF - Agricultural and Forest Meteorology

SN - 0168-1923

ER -

ID: 240195972