Arctic snowpack characterization, climate monitoring and microwaves remote sensing
Northern high-latitude regions are warming more intensely than the rest of the world. This phenomenon, called Arctic amplification, is due in part to the decrease in sea ice extent and snow cover. Snow, which is present 9 months of the year, could have a significant effect on the increase in land su...
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Language: | French |
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Online Access: | https://theses.hal.science/tel-03185802 https://theses.hal.science/tel-03185802/document https://theses.hal.science/tel-03185802/file/VARGEL_2020_archivage.pdf |
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ftunigrenoble:oai:HAL:tel-03185802v1 2024-05-12T07:58:27+00:00 Arctic snowpack characterization, climate monitoring and microwaves remote sensing Caractérisation du manteau neigeux arctique, suivi climatique et télédétection micro-onde Vargel, Céline Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) Université Grenoble Alpes 2020-. Université de Sherbrooke (Québec, Canada) Ghislain Picard Alain Royer 2020-12-02 https://theses.hal.science/tel-03185802 https://theses.hal.science/tel-03185802/document https://theses.hal.science/tel-03185802/file/VARGEL_2020_archivage.pdf fr fre HAL CCSD NNT: 2020GRALU029 tel-03185802 https://theses.hal.science/tel-03185802 https://theses.hal.science/tel-03185802/document https://theses.hal.science/tel-03185802/file/VARGEL_2020_archivage.pdf info:eu-repo/semantics/OpenAccess https://theses.hal.science/tel-03185802 Linguistique. Université Grenoble Alpes [2020-.]; Université de Sherbrooke (Québec, Canada), 2020. Français. ⟨NNT : 2020GRALU029⟩ Snowpack Arctic Modelisation Climate change Radiative transfer Microwave remote sensing Manteau neigeux Arctique Modélisation Changement climatique Transfert radiatif Télédétection micro-Onde [SHS.LANGUE]Humanities and Social Sciences/Linguistics info:eu-repo/semantics/doctoralThesis Theses 2020 ftunigrenoble 2024-04-18T03:20:18Z Northern high-latitude regions are warming more intensely than the rest of the world. This phenomenon, called Arctic amplification, is due in part to the decrease in sea ice extent and snow cover. Snow, which is present 9 months of the year, could have a significant effect on the increase in land surface temperatures by changing its reflective and insulating properties. Thawing of permafrost which could release important amount of soil carbone into the atmosphere could have a significant positive feedback on the future climate of the Arctic. The objective of this research project is to improve the monitoring of Arctic snow cover and ground temperatures. Detailed models of snow cover evolution such as the Crocus multi-layered model are unable to reproduce the particular physics of Arctic snow, which leads to significant uncertainties in the modeling of ground temperatures. New physical parameterizations have been implemented within the Crocus model to improve the vertical stratification of the snowpack by introducing vegetation effects (less dense snow at the bottom) and wind effects (denser snow at the surface), as well as to modify the thermal conductivity of snow. These new parameterizations allow a better representation of ground temperatures under the snowpack, validated with a large dataset in Alaska, Canadian Arctic and Siberia. The simulations thus carried out using the modified Crocus model, driven by the ERA-Interim meteorological reanalysis over the last 39 years (1979-2018), at the pan-Arctic scale, show a significant increase in snow density in spring as well as in snow moisture, mainly in spring and fall, accompanied by a significant decrease in the duration of the snow cover. These effects, combined with the increase in air temperature, lead to an increase in ground temperature of up to +0.89 K per decade for the month of June. In order to improve monitoring the spatial and temporal evolution of the snow cover, the use of microwave satellite observation data is proposed. Based on the analysis of a ... Doctoral or Postdoctoral Thesis Arctic Arctique* Climate change Ice permafrost Sea ice Alaska Siberia Université Grenoble Alpes: HAL Arctic |
institution |
Open Polar |
collection |
Université Grenoble Alpes: HAL |
op_collection_id |
ftunigrenoble |
language |
French |
topic |
Snowpack Arctic Modelisation Climate change Radiative transfer Microwave remote sensing Manteau neigeux Arctique Modélisation Changement climatique Transfert radiatif Télédétection micro-Onde [SHS.LANGUE]Humanities and Social Sciences/Linguistics |
spellingShingle |
Snowpack Arctic Modelisation Climate change Radiative transfer Microwave remote sensing Manteau neigeux Arctique Modélisation Changement climatique Transfert radiatif Télédétection micro-Onde [SHS.LANGUE]Humanities and Social Sciences/Linguistics Vargel, Céline Arctic snowpack characterization, climate monitoring and microwaves remote sensing |
topic_facet |
Snowpack Arctic Modelisation Climate change Radiative transfer Microwave remote sensing Manteau neigeux Arctique Modélisation Changement climatique Transfert radiatif Télédétection micro-Onde [SHS.LANGUE]Humanities and Social Sciences/Linguistics |
description |
Northern high-latitude regions are warming more intensely than the rest of the world. This phenomenon, called Arctic amplification, is due in part to the decrease in sea ice extent and snow cover. Snow, which is present 9 months of the year, could have a significant effect on the increase in land surface temperatures by changing its reflective and insulating properties. Thawing of permafrost which could release important amount of soil carbone into the atmosphere could have a significant positive feedback on the future climate of the Arctic. The objective of this research project is to improve the monitoring of Arctic snow cover and ground temperatures. Detailed models of snow cover evolution such as the Crocus multi-layered model are unable to reproduce the particular physics of Arctic snow, which leads to significant uncertainties in the modeling of ground temperatures. New physical parameterizations have been implemented within the Crocus model to improve the vertical stratification of the snowpack by introducing vegetation effects (less dense snow at the bottom) and wind effects (denser snow at the surface), as well as to modify the thermal conductivity of snow. These new parameterizations allow a better representation of ground temperatures under the snowpack, validated with a large dataset in Alaska, Canadian Arctic and Siberia. The simulations thus carried out using the modified Crocus model, driven by the ERA-Interim meteorological reanalysis over the last 39 years (1979-2018), at the pan-Arctic scale, show a significant increase in snow density in spring as well as in snow moisture, mainly in spring and fall, accompanied by a significant decrease in the duration of the snow cover. These effects, combined with the increase in air temperature, lead to an increase in ground temperature of up to +0.89 K per decade for the month of June. In order to improve monitoring the spatial and temporal evolution of the snow cover, the use of microwave satellite observation data is proposed. Based on the analysis of a ... |
author2 |
Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Université Grenoble Alpes (UGA) Université Grenoble Alpes 2020-. Université de Sherbrooke (Québec, Canada) Ghislain Picard Alain Royer |
format |
Doctoral or Postdoctoral Thesis |
author |
Vargel, Céline |
author_facet |
Vargel, Céline |
author_sort |
Vargel, Céline |
title |
Arctic snowpack characterization, climate monitoring and microwaves remote sensing |
title_short |
Arctic snowpack characterization, climate monitoring and microwaves remote sensing |
title_full |
Arctic snowpack characterization, climate monitoring and microwaves remote sensing |
title_fullStr |
Arctic snowpack characterization, climate monitoring and microwaves remote sensing |
title_full_unstemmed |
Arctic snowpack characterization, climate monitoring and microwaves remote sensing |
title_sort |
arctic snowpack characterization, climate monitoring and microwaves remote sensing |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://theses.hal.science/tel-03185802 https://theses.hal.science/tel-03185802/document https://theses.hal.science/tel-03185802/file/VARGEL_2020_archivage.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctique* Climate change Ice permafrost Sea ice Alaska Siberia |
genre_facet |
Arctic Arctique* Climate change Ice permafrost Sea ice Alaska Siberia |
op_source |
https://theses.hal.science/tel-03185802 Linguistique. Université Grenoble Alpes [2020-.]; Université de Sherbrooke (Québec, Canada), 2020. Français. ⟨NNT : 2020GRALU029⟩ |
op_relation |
NNT: 2020GRALU029 tel-03185802 https://theses.hal.science/tel-03185802 https://theses.hal.science/tel-03185802/document https://theses.hal.science/tel-03185802/file/VARGEL_2020_archivage.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1798838891036278784 |