1D-Var multilayer assimilation of X-band SAR data into a detailed snowpack model
International audience The structure and physical properties of a snow-pack and their temporal evolution may be simulated using meteorological data and a snow metamorphism model. Such an approach may meet limitations related to potential diver-gences and accumulated errors, to a limited spatial reso...
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
2014
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Subjects: | |
Online Access: | https://hal.science/hal-01118432 https://hal.science/hal-01118432/document https://hal.science/hal-01118432/file/Phan2014_Cryosphere.pdf https://doi.org/10.5194/tc-8-1975-2014 |
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ftinsarennhal:oai:HAL:hal-01118432v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
INSA Rennes HAL (Institut National des Sciences Appliquées) |
op_collection_id |
ftinsarennhal |
language |
English |
topic |
Assimilation Electromagnetic Model Snowpack [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an] [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] |
spellingShingle |
Assimilation Electromagnetic Model Snowpack [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an] [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] Phan, Xuan Vu Ferro-Famil, Laurent Gay, Michel Durand, Y Dumont, M Morin, S Allain, S d'Urso, Guy Girard, A 1D-Var multilayer assimilation of X-band SAR data into a detailed snowpack model |
topic_facet |
Assimilation Electromagnetic Model Snowpack [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an] [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] |
description |
International audience The structure and physical properties of a snow-pack and their temporal evolution may be simulated using meteorological data and a snow metamorphism model. Such an approach may meet limitations related to potential diver-gences and accumulated errors, to a limited spatial resolu-tion, to wind or topography-induced local modulations of the physical properties of a snow cover, etc. Exogenous data are then required in order to constrain the simulator and im-prove its performance over time. Synthetic-aperture radars (SARs) and, in particular, recent sensors provide reflectivity maps of snow-covered environments with high temporal and spatial resolutions. The radiometric properties of a snowpack measured at sufficiently high carrier frequencies are known to be tightly related to some of its main physical parame-ters, like its depth, snow grain size and density. SAR acqui-sitions may then be used, together with an electromagnetic backscattering model (EBM) able to simulate the reflectiv-ity of a snowpack from a set of physical descriptors, in or-der to constrain a physical snowpack model. In this study, we introduce a variational data assimilation scheme coupling TerraSAR-X radiometric data into the snowpack evolution model Crocus. The physical properties of a snowpack, such as snow density and optical diameter of each layer, are simu-lated by Crocus, fed by the local reanalysis of meteorological data (SAFRAN) at a French Alpine location. These snow-pack properties are used as inputs of an EBM based on dense media radiative transfer (DMRT) theory, which simulates the total backscattering coefficient of a dry snow medium at X and higher frequency bands. After evaluating the sensi-tivity of the EBM to snowpack parameters, a 1D-Var data assimilation scheme is implemented in order to minimize the discrepancies between EBM simulations and observa-tions obtained from TerraSAR-X acquisitions by modifying the physical parameters of the Crocus-simulated snowpack. The algorithm then re-initializes ... |
author2 |
GIPSA - Signal Images Physique (GIPSA-SIGMAPHY) Département Images et Signal (GIPSA-DIS) Grenoble Images Parole Signal Automatique (GIPSA-lab) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS) Institut d'Électronique et des Technologies du numéRique (IETR) Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) GIPSA-Services (GIPSA-Services) 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) EDF - Division Technique Générale (DTG) EDF (EDF) |
format |
Article in Journal/Newspaper |
author |
Phan, Xuan Vu Ferro-Famil, Laurent Gay, Michel Durand, Y Dumont, M Morin, S Allain, S d'Urso, Guy Girard, A |
author_facet |
Phan, Xuan Vu Ferro-Famil, Laurent Gay, Michel Durand, Y Dumont, M Morin, S Allain, S d'Urso, Guy Girard, A |
author_sort |
Phan, Xuan Vu |
title |
1D-Var multilayer assimilation of X-band SAR data into a detailed snowpack model |
title_short |
1D-Var multilayer assimilation of X-band SAR data into a detailed snowpack model |
title_full |
1D-Var multilayer assimilation of X-band SAR data into a detailed snowpack model |
title_fullStr |
1D-Var multilayer assimilation of X-band SAR data into a detailed snowpack model |
title_full_unstemmed |
1D-Var multilayer assimilation of X-band SAR data into a detailed snowpack model |
title_sort |
1d-var multilayer assimilation of x-band sar data into a detailed snowpack model |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://hal.science/hal-01118432 https://hal.science/hal-01118432/document https://hal.science/hal-01118432/file/Phan2014_Cryosphere.pdf https://doi.org/10.5194/tc-8-1975-2014 |
long_lat |
ENVELOPE(23.767,23.767,67.383,67.383) |
geographic |
Simu |
geographic_facet |
Simu |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-01118432 The Cryosphere, 2014, pp.1975-1987. ⟨10.5194/tc-8-1975-2014⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-8-1975-2014 hal-01118432 https://hal.science/hal-01118432 https://hal.science/hal-01118432/document https://hal.science/hal-01118432/file/Phan2014_Cryosphere.pdf doi:10.5194/tc-8-1975-2014 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-8-1975-2014 |
container_title |
The Cryosphere |
container_volume |
8 |
container_issue |
5 |
container_start_page |
1975 |
op_container_end_page |
1987 |
_version_ |
1802011363662364672 |
spelling |
ftinsarennhal:oai:HAL:hal-01118432v1 2024-06-16T07:43:28+00:00 1D-Var multilayer assimilation of X-band SAR data into a detailed snowpack model Phan, Xuan Vu Ferro-Famil, Laurent Gay, Michel Durand, Y Dumont, M Morin, S Allain, S d'Urso, Guy Girard, A GIPSA - Signal Images Physique (GIPSA-SIGMAPHY) Département Images et Signal (GIPSA-DIS) Grenoble Images Parole Signal Automatique (GIPSA-lab) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS) Institut d'Électronique et des Technologies du numéRique (IETR) Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) GIPSA-Services (GIPSA-Services) 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) EDF - Division Technique Générale (DTG) EDF (EDF) 2014 https://hal.science/hal-01118432 https://hal.science/hal-01118432/document https://hal.science/hal-01118432/file/Phan2014_Cryosphere.pdf https://doi.org/10.5194/tc-8-1975-2014 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-8-1975-2014 hal-01118432 https://hal.science/hal-01118432 https://hal.science/hal-01118432/document https://hal.science/hal-01118432/file/Phan2014_Cryosphere.pdf doi:10.5194/tc-8-1975-2014 info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-01118432 The Cryosphere, 2014, pp.1975-1987. ⟨10.5194/tc-8-1975-2014⟩ Assimilation Electromagnetic Model Snowpack [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an] [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] info:eu-repo/semantics/article Journal articles 2014 ftinsarennhal https://doi.org/10.5194/tc-8-1975-2014 2024-05-22T23:36:40Z International audience The structure and physical properties of a snow-pack and their temporal evolution may be simulated using meteorological data and a snow metamorphism model. Such an approach may meet limitations related to potential diver-gences and accumulated errors, to a limited spatial resolu-tion, to wind or topography-induced local modulations of the physical properties of a snow cover, etc. Exogenous data are then required in order to constrain the simulator and im-prove its performance over time. Synthetic-aperture radars (SARs) and, in particular, recent sensors provide reflectivity maps of snow-covered environments with high temporal and spatial resolutions. The radiometric properties of a snowpack measured at sufficiently high carrier frequencies are known to be tightly related to some of its main physical parame-ters, like its depth, snow grain size and density. SAR acqui-sitions may then be used, together with an electromagnetic backscattering model (EBM) able to simulate the reflectiv-ity of a snowpack from a set of physical descriptors, in or-der to constrain a physical snowpack model. In this study, we introduce a variational data assimilation scheme coupling TerraSAR-X radiometric data into the snowpack evolution model Crocus. The physical properties of a snowpack, such as snow density and optical diameter of each layer, are simu-lated by Crocus, fed by the local reanalysis of meteorological data (SAFRAN) at a French Alpine location. These snow-pack properties are used as inputs of an EBM based on dense media radiative transfer (DMRT) theory, which simulates the total backscattering coefficient of a dry snow medium at X and higher frequency bands. After evaluating the sensi-tivity of the EBM to snowpack parameters, a 1D-Var data assimilation scheme is implemented in order to minimize the discrepancies between EBM simulations and observa-tions obtained from TerraSAR-X acquisitions by modifying the physical parameters of the Crocus-simulated snowpack. The algorithm then re-initializes ... Article in Journal/Newspaper The Cryosphere INSA Rennes HAL (Institut National des Sciences Appliquées) Simu ENVELOPE(23.767,23.767,67.383,67.383) The Cryosphere 8 5 1975 1987 |