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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Main Authors: Maillard Julia, Jean-Christophe, Raut, Ravetta François
Format: Software
Language:English
Published: Zenodo 2023
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.8347089
https://zenodo.org/record/8347089
id ftdatacite:10.5281/zenodo.8347089
record_format openpolar
spelling 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 ...
title_sort 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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