Diagnosis of Atmospheric Drivers of High-Latitude Evapotranspiration Using Structural Equation Modeling

Evapotranspiration (ET) is a relevant component of the surface moisture budget and is associated with different drivers. The interrelated drivers cause variations at daily to interannual timescales. This study uses structural equation modeling to diagnose the drivers over an ensemble of 45 high-lati...

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Published in:Atmosphere
Main Authors: Sarah M. Thunberg, Eugénie S. Euskirchen, John E. Walsh, Kyle M. Redilla
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
Online Access:https://doi.org/10.3390/atmos12101359
https://doaj.org/article/66e89574156541d29d40af8fee67b035
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spelling ftdoajarticles:oai:doaj.org/article:66e89574156541d29d40af8fee67b035 2023-05-15T15:09:59+02:00 Diagnosis of Atmospheric Drivers of High-Latitude Evapotranspiration Using Structural Equation Modeling Sarah M. Thunberg Eugénie S. Euskirchen John E. Walsh Kyle M. Redilla 2021-10-01T00:00:00Z https://doi.org/10.3390/atmos12101359 https://doaj.org/article/66e89574156541d29d40af8fee67b035 EN eng MDPI AG https://www.mdpi.com/2073-4433/12/10/1359 https://doaj.org/toc/2073-4433 doi:10.3390/atmos12101359 2073-4433 https://doaj.org/article/66e89574156541d29d40af8fee67b035 Atmosphere, Vol 12, Iss 1359, p 1359 (2021) evapotranspiration moisture Arctic tundra boreal forest Meteorology. Climatology QC851-999 article 2021 ftdoajarticles https://doi.org/10.3390/atmos12101359 2022-12-31T04:42:23Z Evapotranspiration (ET) is a relevant component of the surface moisture budget and is associated with different drivers. The interrelated drivers cause variations at daily to interannual timescales. This study uses structural equation modeling to diagnose the drivers over an ensemble of 45 high-latitude sites, each of which provides at least several years of in situ measurements, including latent heat fluxes derived from eddy covariance flux towers. The sites are grouped by vegetation type (tundra, forest) and the presence or absence of permafrost to determine how the relative importance of different drivers depends on land surface characteristics. Factor analysis is used to quantify the common variance among the variables, while a path analysis procedure is used to assess the independent contributions of different variables. The variability of ET at forest sites generally shows a stronger dependence on relative humidity, while ET at tundra sites is more temperature-limited than moisture-limited. The path analysis shows that ET has a stronger direct correlation with solar radiation than with any other measured variable. Wind speed has the largest independent contribution to ET variability. The independent contribution of solar radiation is smaller because solar radiation also affects ET through various other drivers. The independent contribution of wind speed is especially apparent at forest wetland sites. For both tundra and forest vegetation, temperature loads higher on the first factor when permafrost is present, implying that ET will become less sensitive to temperature as permafrost thaws. Article in Journal/Newspaper Arctic permafrost Tundra Directory of Open Access Journals: DOAJ Articles Arctic Atmosphere 12 10 1359
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic evapotranspiration
moisture
Arctic
tundra
boreal forest
Meteorology. Climatology
QC851-999
spellingShingle evapotranspiration
moisture
Arctic
tundra
boreal forest
Meteorology. Climatology
QC851-999
Sarah M. Thunberg
Eugénie S. Euskirchen
John E. Walsh
Kyle M. Redilla
Diagnosis of Atmospheric Drivers of High-Latitude Evapotranspiration Using Structural Equation Modeling
topic_facet evapotranspiration
moisture
Arctic
tundra
boreal forest
Meteorology. Climatology
QC851-999
description Evapotranspiration (ET) is a relevant component of the surface moisture budget and is associated with different drivers. The interrelated drivers cause variations at daily to interannual timescales. This study uses structural equation modeling to diagnose the drivers over an ensemble of 45 high-latitude sites, each of which provides at least several years of in situ measurements, including latent heat fluxes derived from eddy covariance flux towers. The sites are grouped by vegetation type (tundra, forest) and the presence or absence of permafrost to determine how the relative importance of different drivers depends on land surface characteristics. Factor analysis is used to quantify the common variance among the variables, while a path analysis procedure is used to assess the independent contributions of different variables. The variability of ET at forest sites generally shows a stronger dependence on relative humidity, while ET at tundra sites is more temperature-limited than moisture-limited. The path analysis shows that ET has a stronger direct correlation with solar radiation than with any other measured variable. Wind speed has the largest independent contribution to ET variability. The independent contribution of solar radiation is smaller because solar radiation also affects ET through various other drivers. The independent contribution of wind speed is especially apparent at forest wetland sites. For both tundra and forest vegetation, temperature loads higher on the first factor when permafrost is present, implying that ET will become less sensitive to temperature as permafrost thaws.
format Article in Journal/Newspaper
author Sarah M. Thunberg
Eugénie S. Euskirchen
John E. Walsh
Kyle M. Redilla
author_facet Sarah M. Thunberg
Eugénie S. Euskirchen
John E. Walsh
Kyle M. Redilla
author_sort Sarah M. Thunberg
title Diagnosis of Atmospheric Drivers of High-Latitude Evapotranspiration Using Structural Equation Modeling
title_short Diagnosis of Atmospheric Drivers of High-Latitude Evapotranspiration Using Structural Equation Modeling
title_full Diagnosis of Atmospheric Drivers of High-Latitude Evapotranspiration Using Structural Equation Modeling
title_fullStr Diagnosis of Atmospheric Drivers of High-Latitude Evapotranspiration Using Structural Equation Modeling
title_full_unstemmed Diagnosis of Atmospheric Drivers of High-Latitude Evapotranspiration Using Structural Equation Modeling
title_sort diagnosis of atmospheric drivers of high-latitude evapotranspiration using structural equation modeling
publisher MDPI AG
publishDate 2021
url https://doi.org/10.3390/atmos12101359
https://doaj.org/article/66e89574156541d29d40af8fee67b035
geographic Arctic
geographic_facet Arctic
genre Arctic
permafrost
Tundra
genre_facet Arctic
permafrost
Tundra
op_source Atmosphere, Vol 12, Iss 1359, p 1359 (2021)
op_relation https://www.mdpi.com/2073-4433/12/10/1359
https://doaj.org/toc/2073-4433
doi:10.3390/atmos12101359
2073-4433
https://doaj.org/article/66e89574156541d29d40af8fee67b035
op_doi https://doi.org/10.3390/atmos12101359
container_title Atmosphere
container_volume 12
container_issue 10
container_start_page 1359
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