SLM_Polar ...
Modified simplifid versions, recoded in Python, of the Noah Land Surface Model used in conjunction with the Mellor-Janjic-Yamada surface layer scheme (Noah MYJ) and the Noah MultiPhysics scheme (Noah-MP) from the WRF 4.5.1 meso-scale model. Modifications are used to correct the fact that original WR...
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2023
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Online Access: | https://dx.doi.org/10.5281/zenodo.8347089 https://zenodo.org/record/8347089 |
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ftdatacite:10.5281/zenodo.8347089 2023-11-05T03:39:03+01:00 SLM_Polar ... Maillard Julia Jean-Christophe, Raut Ravetta François 2023 https://dx.doi.org/10.5281/zenodo.8347089 https://zenodo.org/record/8347089 en eng Zenodo https://dx.doi.org/10.5281/zenodo.8347090 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess surface layer model, temperature gradient, Arctic winter, forest canopy Software article SoftwareSourceCode 2023 ftdatacite https://doi.org/10.5281/zenodo.834708910.5281/zenodo.8347090 2023-10-09T10:56:57Z Modified simplifid versions, recoded in Python, of the Noah Land Surface Model used in conjunction with the Mellor-Janjic-Yamada surface layer scheme (Noah MYJ) and the Noah MultiPhysics scheme (Noah-MP) from the WRF 4.5.1 meso-scale model. Modifications are used to correct the fact that original WRF schemes place strong limits on the turbulent collapse, leading to lower surface temperature gradient at low wind speeds. Modified versions show a better performance in reproducing positive temperature gradients over forested areas in the Arctic winter. Noah-MP is found to perform better than Noah-LSM–MYJ because the former is a 2-layer model which explicitly takes into account the effect of the forest canopy. Indeed a non-negligible temperature gradient is maintained below the canopy at high wind speeds, leading to overall larger gradients than in the absence of vegetation. ... Software Arctic DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
surface layer model, temperature gradient, Arctic winter, forest canopy |
spellingShingle |
surface layer model, temperature gradient, Arctic winter, forest canopy Maillard Julia Jean-Christophe, Raut Ravetta François SLM_Polar ... |
topic_facet |
surface layer model, temperature gradient, Arctic winter, forest canopy |
description |
Modified simplifid versions, recoded in Python, of the Noah Land Surface Model used in conjunction with the Mellor-Janjic-Yamada surface layer scheme (Noah MYJ) and the Noah MultiPhysics scheme (Noah-MP) from the WRF 4.5.1 meso-scale model. Modifications are used to correct the fact that original WRF schemes place strong limits on the turbulent collapse, leading to lower surface temperature gradient at low wind speeds. Modified versions show a better performance in reproducing positive temperature gradients over forested areas in the Arctic winter. Noah-MP is found to perform better than Noah-LSM–MYJ because the former is a 2-layer model which explicitly takes into account the effect of the forest canopy. Indeed a non-negligible temperature gradient is maintained below the canopy at high wind speeds, leading to overall larger gradients than in the absence of vegetation. ... |
format |
Software |
author |
Maillard Julia Jean-Christophe, Raut Ravetta François |
author_facet |
Maillard Julia Jean-Christophe, Raut Ravetta François |
author_sort |
Maillard Julia |
title |
SLM_Polar ... |
title_short |
SLM_Polar ... |
title_full |
SLM_Polar ... |
title_fullStr |
SLM_Polar ... |
title_full_unstemmed |
SLM_Polar ... |
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slm_polar ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8347089 https://zenodo.org/record/8347089 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://dx.doi.org/10.5281/zenodo.8347090 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.834708910.5281/zenodo.8347090 |
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1781694849416691712 |