Using the Sensible Heat Flux Eddy Covariance-Based Exchange Coefficient to Calculate Latent Heat Flux from Moisture Mean Gradients Over Snow.
In absence of the high-frequency measurements of wind components, sonic temperature and water vapour required by the eddy covariance (EC) method, Monin-Obukhov similarity theory (MOST) is often used to calculate heat fluxes. However, MOST requires assumptions of stability corrections and roughness l...
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Online Access: | https://doi.org/10.1007/s10546-024-00864-y https://pubmed.ncbi.nlm.nih.gov/38706472 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11068579/ |
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ftpubmed:38706472 2024-06-02T07:56:25+00:00 Using the Sensible Heat Flux Eddy Covariance-Based Exchange Coefficient to Calculate Latent Heat Flux from Moisture Mean Gradients Over Snow. González-Herrero, Sergi Sigmund, Armin Haugeneder, Michael Hames, Océane Huwald, Hendrik Fiddes, Joel Lehning, Michael 2024 https://doi.org/10.1007/s10546-024-00864-y https://pubmed.ncbi.nlm.nih.gov/38706472 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11068579/ eng eng https://doi.org/10.1007/s10546-024-00864-y https://pubmed.ncbi.nlm.nih.gov/38706472 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11068579/ © The Author(s) 2024. Boundary Layer Meteorol ISSN:0006-8314 Volume:190 Issue:5 Boundary layer Bowen ratio Eddy-covariance Latent heat flux Monin–Obukhov similarity theory Snow Journal Article 2024 ftpubmed https://doi.org/10.1007/s10546-024-00864-y 2024-05-07T16:02:00Z In absence of the high-frequency measurements of wind components, sonic temperature and water vapour required by the eddy covariance (EC) method, Monin-Obukhov similarity theory (MOST) is often used to calculate heat fluxes. However, MOST requires assumptions of stability corrections and roughness lengths. In most environments and weather situations, roughness length and stability corrections have high uncertainty. Here, we revisit the modified Bowen-ratio method, which we call C-method, to calculate the latent heat flux over snow. In the absence of high-frequency water vapour measurements, we use sonic anemometer data, which have become much more standard. This method uses the exchange coefficient for sensible heat flux to estimate latent-heat flux. Theory predicts the two exchange coefficients to be equal and the method avoids assuming roughness lengths and stability corrections. We apply this method to two datasets from high mountain (Alps) and polar (Antarctica) environments and compare it with MOST and the three-layer model (3LM). We show that roughness length has a great impact on heat fluxes calculated using MOST and that different calculation methods over snow lead to very different results. Instead, the 3LM leads to good results, in part due to the fact that it avoids roughness length assumptions to calculate heat fluxes. The C-method presented performs overall better or comparable to established MOST with different stability corrections and provides results comparable to the direct EC method. An application of this method is provided for a new station installed in the Pamir mountains. Article in Journal/Newspaper Antarc* Antarctica PubMed Central (PMC) Boundary-Layer Meteorology 190 5 |
institution |
Open Polar |
collection |
PubMed Central (PMC) |
op_collection_id |
ftpubmed |
language |
English |
topic |
Boundary layer Bowen ratio Eddy-covariance Latent heat flux Monin–Obukhov similarity theory Snow |
spellingShingle |
Boundary layer Bowen ratio Eddy-covariance Latent heat flux Monin–Obukhov similarity theory Snow González-Herrero, Sergi Sigmund, Armin Haugeneder, Michael Hames, Océane Huwald, Hendrik Fiddes, Joel Lehning, Michael Using the Sensible Heat Flux Eddy Covariance-Based Exchange Coefficient to Calculate Latent Heat Flux from Moisture Mean Gradients Over Snow. |
topic_facet |
Boundary layer Bowen ratio Eddy-covariance Latent heat flux Monin–Obukhov similarity theory Snow |
description |
In absence of the high-frequency measurements of wind components, sonic temperature and water vapour required by the eddy covariance (EC) method, Monin-Obukhov similarity theory (MOST) is often used to calculate heat fluxes. However, MOST requires assumptions of stability corrections and roughness lengths. In most environments and weather situations, roughness length and stability corrections have high uncertainty. Here, we revisit the modified Bowen-ratio method, which we call C-method, to calculate the latent heat flux over snow. In the absence of high-frequency water vapour measurements, we use sonic anemometer data, which have become much more standard. This method uses the exchange coefficient for sensible heat flux to estimate latent-heat flux. Theory predicts the two exchange coefficients to be equal and the method avoids assuming roughness lengths and stability corrections. We apply this method to two datasets from high mountain (Alps) and polar (Antarctica) environments and compare it with MOST and the three-layer model (3LM). We show that roughness length has a great impact on heat fluxes calculated using MOST and that different calculation methods over snow lead to very different results. Instead, the 3LM leads to good results, in part due to the fact that it avoids roughness length assumptions to calculate heat fluxes. The C-method presented performs overall better or comparable to established MOST with different stability corrections and provides results comparable to the direct EC method. An application of this method is provided for a new station installed in the Pamir mountains. |
format |
Article in Journal/Newspaper |
author |
González-Herrero, Sergi Sigmund, Armin Haugeneder, Michael Hames, Océane Huwald, Hendrik Fiddes, Joel Lehning, Michael |
author_facet |
González-Herrero, Sergi Sigmund, Armin Haugeneder, Michael Hames, Océane Huwald, Hendrik Fiddes, Joel Lehning, Michael |
author_sort |
González-Herrero, Sergi |
title |
Using the Sensible Heat Flux Eddy Covariance-Based Exchange Coefficient to Calculate Latent Heat Flux from Moisture Mean Gradients Over Snow. |
title_short |
Using the Sensible Heat Flux Eddy Covariance-Based Exchange Coefficient to Calculate Latent Heat Flux from Moisture Mean Gradients Over Snow. |
title_full |
Using the Sensible Heat Flux Eddy Covariance-Based Exchange Coefficient to Calculate Latent Heat Flux from Moisture Mean Gradients Over Snow. |
title_fullStr |
Using the Sensible Heat Flux Eddy Covariance-Based Exchange Coefficient to Calculate Latent Heat Flux from Moisture Mean Gradients Over Snow. |
title_full_unstemmed |
Using the Sensible Heat Flux Eddy Covariance-Based Exchange Coefficient to Calculate Latent Heat Flux from Moisture Mean Gradients Over Snow. |
title_sort |
using the sensible heat flux eddy covariance-based exchange coefficient to calculate latent heat flux from moisture mean gradients over snow. |
publishDate |
2024 |
url |
https://doi.org/10.1007/s10546-024-00864-y https://pubmed.ncbi.nlm.nih.gov/38706472 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11068579/ |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
Boundary Layer Meteorol ISSN:0006-8314 Volume:190 Issue:5 |
op_relation |
https://doi.org/10.1007/s10546-024-00864-y https://pubmed.ncbi.nlm.nih.gov/38706472 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11068579/ |
op_rights |
© The Author(s) 2024. |
op_doi |
https://doi.org/10.1007/s10546-024-00864-y |
container_title |
Boundary-Layer Meteorology |
container_volume |
190 |
container_issue |
5 |
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1800755894744514560 |