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

Bibliographic Details
Published in:Agricultural and Forest Meteorology
Main Authors: Levy, Peter, Drewer, Julia, Jammet, Mathilde, Leeson, Sarah, Friborg, Thomas, Skiba, Ute, Oijen, Marcel van
Other Authors: Natural Environment Research Council
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2020
Subjects:
Atmospheric Science
Agronomy and Crop Science
Global and Planetary Change
Forestry
Subarctic
Online Access:http://dx.doi.org/10.1016/j.agrformet.2019.107783
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spelling crelsevierbv:10.1016/j.agrformet.2019.107783 2024-03-10T08:37:32+00:00 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 Oijen, Marcel van Natural Environment Research Council 2020 http://dx.doi.org/10.1016/j.agrformet.2019.107783 https://api.elsevier.com/content/article/PII:S0168192319303995?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0168192319303995?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ http://creativecommons.org/licenses/by/4.0/ Agricultural and Forest Meteorology volume 280, page 107783 ISSN 0168-1923 Atmospheric Science Agronomy and Crop Science Global and Planetary Change Forestry journal-article 2020 crelsevierbv https://doi.org/10.1016/j.agrformet.2019.107783 2024-02-14T16:32:43Z Article in Journal/Newspaper Subarctic ScienceDirect (Elsevier) Agricultural and Forest Meteorology 280 107783
institution Open Polar
collection ScienceDirect (Elsevier)
op_collection_id crelsevierbv
language English
topic Atmospheric Science
Agronomy and Crop Science
Global and Planetary Change
Forestry
spellingShingle Atmospheric Science
Agronomy and Crop Science
Global and Planetary Change
Forestry
Levy, Peter
Drewer, Julia
Jammet, Mathilde
Leeson, Sarah
Friborg, Thomas
Skiba, Ute
Oijen, Marcel van
Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem
topic_facet Atmospheric Science
Agronomy and Crop Science
Global and Planetary Change
Forestry
author2 Natural Environment Research Council
format Article in Journal/Newspaper
author Levy, Peter
Drewer, Julia
Jammet, Mathilde
Leeson, Sarah
Friborg, Thomas
Skiba, Ute
Oijen, Marcel van
author_facet Levy, Peter
Drewer, Julia
Jammet, Mathilde
Leeson, Sarah
Friborg, Thomas
Skiba, Ute
Oijen, Marcel van
author_sort Levy, Peter
title Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem
title_short Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem
title_full Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem
title_fullStr Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem
title_full_unstemmed Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem
title_sort inference of spatial heterogeneity in surface fluxes from eddy covariance data: a case study from a subarctic mire ecosystem
publisher Elsevier BV
publishDate 2020
url http://dx.doi.org/10.1016/j.agrformet.2019.107783
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https://api.elsevier.com/content/article/PII:S0168192319303995?httpAccept=text/plain
genre Subarctic
genre_facet Subarctic
op_source Agricultural and Forest Meteorology
volume 280, page 107783
ISSN 0168-1923
op_rights https://www.elsevier.com/tdm/userlicense/1.0/
http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1016/j.agrformet.2019.107783
container_title Agricultural and Forest Meteorology
container_volume 280
container_start_page 107783
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