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Downwelling longwave radiation and sensible heat flux observations are critical for surface temperature and emissivity estimation from flux tower data

Land surface temperature (LST) is a preeminent state variable that controls the energy and water exchange between the Earth’s surface and the atmosphere. At the landscape-scale, LST is derived from thermal infrared radiance measured using space-borne radiometers. In contrast, plot-scale LST estimati...

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Autores principales: Thakur, Gitanjali, Schymanski, Stanislaus J., Mallick, Kaniska, Trebs, Ivonne, Sulis, Mauro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124221/
https://www.ncbi.nlm.nih.gov/pubmed/35597778
http://dx.doi.org/10.1038/s41598-022-12304-3
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author Thakur, Gitanjali
Schymanski, Stanislaus J.
Mallick, Kaniska
Trebs, Ivonne
Sulis, Mauro
author_facet Thakur, Gitanjali
Schymanski, Stanislaus J.
Mallick, Kaniska
Trebs, Ivonne
Sulis, Mauro
author_sort Thakur, Gitanjali
collection PubMed
description Land surface temperature (LST) is a preeminent state variable that controls the energy and water exchange between the Earth’s surface and the atmosphere. At the landscape-scale, LST is derived from thermal infrared radiance measured using space-borne radiometers. In contrast, plot-scale LST estimation at flux tower sites is commonly based on the inversion of upwelling longwave radiation captured by tower-mounted radiometers, whereas the role of the downwelling longwave radiation component is often ignored. We found that neglecting the reflected downwelling longwave radiation leads not only to substantial bias in plot-scale LST estimation, but also have important implications for the estimation of surface emissivity on which LST is co-dependent. The present study proposes a novel method for simultaneous estimation of LST and emissivity at the plot-scale and addresses in detail the consequences of omitting down-welling longwave radiation as frequently done in the literature. Our analysis uses ten eddy covariance sites with different land cover types and found that the LST values obtained using both upwelling and downwelling longwave radiation components are 0.5–1.5 K lower than estimates using only upwelling longwave radiation. Furthermore, the proposed method helps identify inconsistencies between plot-scale radiometric and aerodynamic measurements, likely due to footprint mismatch between measurement approaches. We also found that such inconsistencies can be removed by slight corrections to the upwelling longwave component and subsequent energy balance closure, resulting in realistic estimates of surface emissivity and consistent relationships between energy fluxes and surface-air temperature differences. The correspondence between plot-scale LST and landscape-scale LST depends on site-specific characteristics, such as canopy density, sensor locations and viewing angles. Here we also quantify the uncertainty in plot-scale LST estimates due to uncertainty in tower-based measurements using the different methods. The results of this work have significant implications for the combined use of aerodynamic and radiometric measurements to understand the interactions and feedbacks between LST and surface-atmosphere exchange processes.
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spelling pubmed-91242212022-05-23 Downwelling longwave radiation and sensible heat flux observations are critical for surface temperature and emissivity estimation from flux tower data Thakur, Gitanjali Schymanski, Stanislaus J. Mallick, Kaniska Trebs, Ivonne Sulis, Mauro Sci Rep Article Land surface temperature (LST) is a preeminent state variable that controls the energy and water exchange between the Earth’s surface and the atmosphere. At the landscape-scale, LST is derived from thermal infrared radiance measured using space-borne radiometers. In contrast, plot-scale LST estimation at flux tower sites is commonly based on the inversion of upwelling longwave radiation captured by tower-mounted radiometers, whereas the role of the downwelling longwave radiation component is often ignored. We found that neglecting the reflected downwelling longwave radiation leads not only to substantial bias in plot-scale LST estimation, but also have important implications for the estimation of surface emissivity on which LST is co-dependent. The present study proposes a novel method for simultaneous estimation of LST and emissivity at the plot-scale and addresses in detail the consequences of omitting down-welling longwave radiation as frequently done in the literature. Our analysis uses ten eddy covariance sites with different land cover types and found that the LST values obtained using both upwelling and downwelling longwave radiation components are 0.5–1.5 K lower than estimates using only upwelling longwave radiation. Furthermore, the proposed method helps identify inconsistencies between plot-scale radiometric and aerodynamic measurements, likely due to footprint mismatch between measurement approaches. We also found that such inconsistencies can be removed by slight corrections to the upwelling longwave component and subsequent energy balance closure, resulting in realistic estimates of surface emissivity and consistent relationships between energy fluxes and surface-air temperature differences. The correspondence between plot-scale LST and landscape-scale LST depends on site-specific characteristics, such as canopy density, sensor locations and viewing angles. Here we also quantify the uncertainty in plot-scale LST estimates due to uncertainty in tower-based measurements using the different methods. The results of this work have significant implications for the combined use of aerodynamic and radiometric measurements to understand the interactions and feedbacks between LST and surface-atmosphere exchange processes. Nature Publishing Group UK 2022-05-21 /pmc/articles/PMC9124221/ /pubmed/35597778 http://dx.doi.org/10.1038/s41598-022-12304-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Thakur, Gitanjali
Schymanski, Stanislaus J.
Mallick, Kaniska
Trebs, Ivonne
Sulis, Mauro
Downwelling longwave radiation and sensible heat flux observations are critical for surface temperature and emissivity estimation from flux tower data
title Downwelling longwave radiation and sensible heat flux observations are critical for surface temperature and emissivity estimation from flux tower data
title_full Downwelling longwave radiation and sensible heat flux observations are critical for surface temperature and emissivity estimation from flux tower data
title_fullStr Downwelling longwave radiation and sensible heat flux observations are critical for surface temperature and emissivity estimation from flux tower data
title_full_unstemmed Downwelling longwave radiation and sensible heat flux observations are critical for surface temperature and emissivity estimation from flux tower data
title_short Downwelling longwave radiation and sensible heat flux observations are critical for surface temperature and emissivity estimation from flux tower data
title_sort downwelling longwave radiation and sensible heat flux observations are critical for surface temperature and emissivity estimation from flux tower data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124221/
https://www.ncbi.nlm.nih.gov/pubmed/35597778
http://dx.doi.org/10.1038/s41598-022-12304-3
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