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://zenodo.org/record/8347090 https://doi.org/10.5281/zenodo.8347090 |
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ftzenodo:oai:zenodo.org:8347090 2023-10-09T21:48:36+02:00 SLM_Polar Maillard Julia Raut Jean-Christophe Ravetta François 2023-09-14 https://zenodo.org/record/8347090 https://doi.org/10.5281/zenodo.8347090 eng eng doi:10.5281/zenodo.8347089 https://zenodo.org/record/8347090 https://doi.org/10.5281/zenodo.8347090 oai:zenodo.org:8347090 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode surface layer model temperature gradient Arctic winter forest canopy info:eu-repo/semantics/other software 2023 ftzenodo https://doi.org/10.5281/zenodo.834709010.5281/zenodo.8347089 2023-09-19T22:59:08Z 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 Zenodo Arctic Mellor ENVELOPE(-114.944,-114.944,60.714,60.714) |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
surface layer model temperature gradient Arctic winter forest canopy |
spellingShingle |
surface layer model temperature gradient Arctic winter forest canopy Maillard Julia Raut Jean-Christophe 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 Raut Jean-Christophe Ravetta François |
author_facet |
Maillard Julia Raut Jean-Christophe 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 |
title_sort |
slm_polar |
publishDate |
2023 |
url |
https://zenodo.org/record/8347090 https://doi.org/10.5281/zenodo.8347090 |
long_lat |
ENVELOPE(-114.944,-114.944,60.714,60.714) |
geographic |
Arctic Mellor |
geographic_facet |
Arctic Mellor |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
doi:10.5281/zenodo.8347089 https://zenodo.org/record/8347090 https://doi.org/10.5281/zenodo.8347090 oai:zenodo.org:8347090 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.834709010.5281/zenodo.8347089 |
_version_ |
1779311673805373440 |