Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0)
Simulation of vegetation–climate feedbacks in high latitudes in the ORCHIDEE land surface model was improved by the addition of three new circumpolar plant functional types (PFTs), namely non-vascular plants representing bryophytes and lichens, Arctic shrubs and Arctic C3 grasses. Non-vascular plant...
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00007691 2023-05-15T13:11:27+02:00 Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0) Druel, Arsène Peylin, Philippe Krinner, Gerhard Ciais, Philippe Viovy, Nicolas Peregon, Anna Bastrikov, Vladislav Kosykh, Natalya Mironycheva-Tokareva, Nina 2017-12 electronic https://doi.org/10.5194/gmd-10-4693-2017 https://noa.gwlb.de/receive/cop_mods_00007691 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007648/gmd-10-4693-2017.pdf https://gmd.copernicus.org/articles/10/4693/2017/gmd-10-4693-2017.pdf eng eng Copernicus Publications Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603 https://doi.org/10.5194/gmd-10-4693-2017 https://noa.gwlb.de/receive/cop_mods_00007691 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007648/gmd-10-4693-2017.pdf https://gmd.copernicus.org/articles/10/4693/2017/gmd-10-4693-2017.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2017 ftnonlinearchiv https://doi.org/10.5194/gmd-10-4693-2017 2022-02-08T22:58:22Z Simulation of vegetation–climate feedbacks in high latitudes in the ORCHIDEE land surface model was improved by the addition of three new circumpolar plant functional types (PFTs), namely non-vascular plants representing bryophytes and lichens, Arctic shrubs and Arctic C3 grasses. Non-vascular plants are assigned no stomatal conductance, very shallow roots, and can desiccate during dry episodes and become active again during wet periods, which gives them a larger phenological plasticity (i.e. adaptability and resilience to severe climatic constraints) compared to grasses and shrubs. Shrubs have a specific carbon allocation scheme, and differ from trees by their larger survival rates in winter, due to protection by snow. Arctic C3 grasses have the same equations as in the original ORCHIDEE version, but different parameter values, optimised from in situ observations of biomass and net primary productivity (NPP) in Siberia. In situ observations of living biomass and productivity from Siberia were used to calibrate the parameters of the new PFTs using a Bayesian optimisation procedure. With the new PFTs, we obtain a lower NPP by 31 % (from 55° N), as well as a lower roughness length (−41 %), transpiration (−33 %) and a higher winter albedo (by +3.6 %) due to increased snow cover. A simulation of the water balance and runoff and drainage in the high northern latitudes using the new PFTs results in an increase of fresh water discharge in the Arctic ocean by 11 % (+140 km3 yr−1), owing to less evapotranspiration. Future developments should focus on the competition between these three PFTs and boreal tree PFTs, in order to simulate their area changes in response to climate change, and the effect of carbon–nitrogen interactions. Article in Journal/Newspaper albedo Arctic Arctic Ocean Climate change Siberia Niedersächsisches Online-Archiv NOA Arctic Arctic Ocean Geoscientific Model Development 10 12 4693 4722 |
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Niedersächsisches Online-Archiv NOA |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Druel, Arsène Peylin, Philippe Krinner, Gerhard Ciais, Philippe Viovy, Nicolas Peregon, Anna Bastrikov, Vladislav Kosykh, Natalya Mironycheva-Tokareva, Nina Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0) |
topic_facet |
article Verlagsveröffentlichung |
description |
Simulation of vegetation–climate feedbacks in high latitudes in the ORCHIDEE land surface model was improved by the addition of three new circumpolar plant functional types (PFTs), namely non-vascular plants representing bryophytes and lichens, Arctic shrubs and Arctic C3 grasses. Non-vascular plants are assigned no stomatal conductance, very shallow roots, and can desiccate during dry episodes and become active again during wet periods, which gives them a larger phenological plasticity (i.e. adaptability and resilience to severe climatic constraints) compared to grasses and shrubs. Shrubs have a specific carbon allocation scheme, and differ from trees by their larger survival rates in winter, due to protection by snow. Arctic C3 grasses have the same equations as in the original ORCHIDEE version, but different parameter values, optimised from in situ observations of biomass and net primary productivity (NPP) in Siberia. In situ observations of living biomass and productivity from Siberia were used to calibrate the parameters of the new PFTs using a Bayesian optimisation procedure. With the new PFTs, we obtain a lower NPP by 31 % (from 55° N), as well as a lower roughness length (−41 %), transpiration (−33 %) and a higher winter albedo (by +3.6 %) due to increased snow cover. A simulation of the water balance and runoff and drainage in the high northern latitudes using the new PFTs results in an increase of fresh water discharge in the Arctic ocean by 11 % (+140 km3 yr−1), owing to less evapotranspiration. Future developments should focus on the competition between these three PFTs and boreal tree PFTs, in order to simulate their area changes in response to climate change, and the effect of carbon–nitrogen interactions. |
format |
Article in Journal/Newspaper |
author |
Druel, Arsène Peylin, Philippe Krinner, Gerhard Ciais, Philippe Viovy, Nicolas Peregon, Anna Bastrikov, Vladislav Kosykh, Natalya Mironycheva-Tokareva, Nina |
author_facet |
Druel, Arsène Peylin, Philippe Krinner, Gerhard Ciais, Philippe Viovy, Nicolas Peregon, Anna Bastrikov, Vladislav Kosykh, Natalya Mironycheva-Tokareva, Nina |
author_sort |
Druel, Arsène |
title |
Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0) |
title_short |
Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0) |
title_full |
Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0) |
title_fullStr |
Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0) |
title_full_unstemmed |
Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0) |
title_sort |
towards a more detailed representation of high-latitude vegetation in the global land surface model orchidee (orc-hl-vegv1.0) |
publisher |
Copernicus Publications |
publishDate |
2017 |
url |
https://doi.org/10.5194/gmd-10-4693-2017 https://noa.gwlb.de/receive/cop_mods_00007691 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007648/gmd-10-4693-2017.pdf https://gmd.copernicus.org/articles/10/4693/2017/gmd-10-4693-2017.pdf |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
albedo Arctic Arctic Ocean Climate change Siberia |
genre_facet |
albedo Arctic Arctic Ocean Climate change Siberia |
op_relation |
Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603 https://doi.org/10.5194/gmd-10-4693-2017 https://noa.gwlb.de/receive/cop_mods_00007691 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00007648/gmd-10-4693-2017.pdf https://gmd.copernicus.org/articles/10/4693/2017/gmd-10-4693-2017.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/gmd-10-4693-2017 |
container_title |
Geoscientific Model Development |
container_volume |
10 |
container_issue |
12 |
container_start_page |
4693 |
op_container_end_page |
4722 |
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1766247470883405824 |