Modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests
International audience The snowpack has a major influence on the land surface energy budget. Accurate simulation of the snowpack energy and radiation budget is challenging due to, e.g., effects of vegetation and topography, as well as limitations in the theoretical understanding of turbulent transfe...
Published in: | The Cryosphere |
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Main Authors: | , , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2024
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Subjects: | |
Online Access: | https://hal.science/hal-04390569 https://hal.science/hal-04390569/document https://hal.science/hal-04390569/file/tc-18-231-2024%20%281%29.pdf https://doi.org/10.5194/tc-18-231-2024 |
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English |
topic |
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
spellingShingle |
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology Nousu, Jari-Pekka Lafaysse, Matthieu Mazzotti, Giulia Ala-Aho, Pertti Marttila, Hannu Cluzet, Bertrand Aurela, Mika Lohila, Annalea Kolari, Pasi Boone, Aaron Fructus, Mathieu Launiainen, Samuli Modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests |
topic_facet |
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
description |
International audience The snowpack has a major influence on the land surface energy budget. Accurate simulation of the snowpack energy and radiation budget is challenging due to, e.g., effects of vegetation and topography, as well as limitations in the theoretical understanding of turbulent transfer in the stable boundary layer. Studies that evaluate snow, hydrology and land surface models against detailed observations of all surface energy balance components at high latitudes are scarce. In this study, we compared different configurations of the SURFEX land surface model against surface energy flux, snow depth and soil temperature observations from four eddy-covariance stations in Finland. The sites cover two different climate and snow conditions, representing the southern and northern subarctic zones, as well as the contrasting forest and peatland ecosystems typical for the boreal landscape. We tested different turbulent flux parameterizations implemented in the Crocus snowpack model. In addition, we examined common alternative approaches to conceptualize soil and vegetation, and we assessed their performance in simulating surface energy fluxes, snow conditions and soil thermal regime. Our results show that a stability correction function that increases the turbulent exchange under stable atmospheric conditions is imperative to simulate sensible heat fluxes over the peatland snowpacks and that realistic peat soil texture (soil organic content) parameterization greatly improves the soil temperature simulations. For accurate simulations of surface energy fluxes, snow and soil conditions in forests, an explicit vegetation representation is necessary. Moreover, we demonstrate the high sensitivity of surface fluxes to a poorly documented parameter involved in snow cover fraction computation. Although we focused on models within the SURFEX platform, the results have broader implications for choosing suitable turbulent flux parameterization and model structures depending on the potential use cases for ... |
author2 |
University of Oulu Centre d'Etudes de la Neige (CEN) Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG )-Université Grenoble Alpes (UGA) Natural Resources Institute Finland (LUKE) SLF Institut pour l'étude de la neige et des avalanches (SLF) SLF Finnish Meteorological Institute (FMI) Institute for Atmospheric and Earth System Research (INAR) Helsingin yliopisto = Helsingfors universitet = University of Helsinki Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Nousu, Jari-Pekka Lafaysse, Matthieu Mazzotti, Giulia Ala-Aho, Pertti Marttila, Hannu Cluzet, Bertrand Aurela, Mika Lohila, Annalea Kolari, Pasi Boone, Aaron Fructus, Mathieu Launiainen, Samuli |
author_facet |
Nousu, Jari-Pekka Lafaysse, Matthieu Mazzotti, Giulia Ala-Aho, Pertti Marttila, Hannu Cluzet, Bertrand Aurela, Mika Lohila, Annalea Kolari, Pasi Boone, Aaron Fructus, Mathieu Launiainen, Samuli |
author_sort |
Nousu, Jari-Pekka |
title |
Modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests |
title_short |
Modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests |
title_full |
Modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests |
title_fullStr |
Modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests |
title_full_unstemmed |
Modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests |
title_sort |
modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests |
publisher |
HAL CCSD |
publishDate |
2024 |
url |
https://hal.science/hal-04390569 https://hal.science/hal-04390569/document https://hal.science/hal-04390569/file/tc-18-231-2024%20%281%29.pdf https://doi.org/10.5194/tc-18-231-2024 |
genre |
Subarctic The Cryosphere |
genre_facet |
Subarctic The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-04390569 The Cryosphere, 2024, 18 (1), pp.231-263. ⟨10.5194/tc-18-231-2024⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-18-231-2024 hal-04390569 https://hal.science/hal-04390569 https://hal.science/hal-04390569/document https://hal.science/hal-04390569/file/tc-18-231-2024%20%281%29.pdf doi:10.5194/tc-18-231-2024 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-18-231-2024 |
container_title |
The Cryosphere |
container_volume |
18 |
container_issue |
1 |
container_start_page |
231 |
op_container_end_page |
263 |
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1809945233426743296 |
spelling |
ftmeteofrance:oai:HAL:hal-04390569v1 2024-09-09T20:10:48+00:00 Modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests Nousu, Jari-Pekka Lafaysse, Matthieu Mazzotti, Giulia Ala-Aho, Pertti Marttila, Hannu Cluzet, Bertrand Aurela, Mika Lohila, Annalea Kolari, Pasi Boone, Aaron Fructus, Mathieu Launiainen, Samuli University of Oulu Centre d'Etudes de la Neige (CEN) Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG )-Université Grenoble Alpes (UGA) Natural Resources Institute Finland (LUKE) SLF Institut pour l'étude de la neige et des avalanches (SLF) SLF Finnish Meteorological Institute (FMI) Institute for Atmospheric and Earth System Research (INAR) Helsingin yliopisto = Helsingfors universitet = University of Helsinki Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) 2024 https://hal.science/hal-04390569 https://hal.science/hal-04390569/document https://hal.science/hal-04390569/file/tc-18-231-2024%20%281%29.pdf https://doi.org/10.5194/tc-18-231-2024 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-18-231-2024 hal-04390569 https://hal.science/hal-04390569 https://hal.science/hal-04390569/document https://hal.science/hal-04390569/file/tc-18-231-2024%20%281%29.pdf doi:10.5194/tc-18-231-2024 info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-04390569 The Cryosphere, 2024, 18 (1), pp.231-263. ⟨10.5194/tc-18-231-2024⟩ [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology info:eu-repo/semantics/article Journal articles 2024 ftmeteofrance https://doi.org/10.5194/tc-18-231-2024 2024-06-25T00:03:19Z International audience The snowpack has a major influence on the land surface energy budget. Accurate simulation of the snowpack energy and radiation budget is challenging due to, e.g., effects of vegetation and topography, as well as limitations in the theoretical understanding of turbulent transfer in the stable boundary layer. Studies that evaluate snow, hydrology and land surface models against detailed observations of all surface energy balance components at high latitudes are scarce. In this study, we compared different configurations of the SURFEX land surface model against surface energy flux, snow depth and soil temperature observations from four eddy-covariance stations in Finland. The sites cover two different climate and snow conditions, representing the southern and northern subarctic zones, as well as the contrasting forest and peatland ecosystems typical for the boreal landscape. We tested different turbulent flux parameterizations implemented in the Crocus snowpack model. In addition, we examined common alternative approaches to conceptualize soil and vegetation, and we assessed their performance in simulating surface energy fluxes, snow conditions and soil thermal regime. Our results show that a stability correction function that increases the turbulent exchange under stable atmospheric conditions is imperative to simulate sensible heat fluxes over the peatland snowpacks and that realistic peat soil texture (soil organic content) parameterization greatly improves the soil temperature simulations. For accurate simulations of surface energy fluxes, snow and soil conditions in forests, an explicit vegetation representation is necessary. Moreover, we demonstrate the high sensitivity of surface fluxes to a poorly documented parameter involved in snow cover fraction computation. Although we focused on models within the SURFEX platform, the results have broader implications for choosing suitable turbulent flux parameterization and model structures depending on the potential use cases for ... Article in Journal/Newspaper Subarctic The Cryosphere Météo-France: HAL The Cryosphere 18 1 231 263 |