Sea state climatology in the North-East Atlantic Ocean : analysis of the present climate and future evolutions under climate change scenarios by means of dynamical and statistical downscaling methods
Wave climate analysis is of utmost importance to understand the evolution and dynamics of coastal zones, to estimate the occurrence of extreme events, to design protections for ports, onshore and offshore infrastructure, to characterize wave resources for wave energy conversion, to quantify sediment...
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Format: | Doctoral or Postdoctoral Thesis |
Language: | French |
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2013
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Online Access: | https://pastel.archives-ouvertes.fr/tel-00966849 https://pastel.archives-ouvertes.fr/tel-00966849/document https://pastel.archives-ouvertes.fr/tel-00966849/file/TH2013PEST1120_incomplete.pdf |
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ftunivnantes:oai:HAL:tel-00966849v1 2023-05-15T17:38:45+02:00 Sea state climatology in the North-East Atlantic Ocean : analysis of the present climate and future evolutions under climate change scenarios by means of dynamical and statistical downscaling methods Climatologie des états de mer en Atlantique nord-est : analyse du climat actuelet des évolutions futures sous scénarios de changement climatique par descente d'échelle dynamique et statistique Laugel, Amélie Laboratoire d'Hydraulique Saint-Venant / Saint-Venant Laboratory for Hydraulics (Saint-Venant) École des Ponts ParisTech (ENPC)-PRES Université Paris-Est-EDF (EDF)-Avant création Cerema Université Paris-Est Michel Benoit 2013-12-11 https://pastel.archives-ouvertes.fr/tel-00966849 https://pastel.archives-ouvertes.fr/tel-00966849/document https://pastel.archives-ouvertes.fr/tel-00966849/file/TH2013PEST1120_incomplete.pdf fr fre HAL CCSD NNT: 2013PEST1120 tel-00966849 https://pastel.archives-ouvertes.fr/tel-00966849 https://pastel.archives-ouvertes.fr/tel-00966849/document https://pastel.archives-ouvertes.fr/tel-00966849/file/TH2013PEST1120_incomplete.pdf info:eu-repo/semantics/OpenAccess https://pastel.archives-ouvertes.fr/tel-00966849 Autre. Université Paris-Est, 2013. Français. ⟨NNT : 2013PEST1120⟩ Wave climate Dynamical downscaling method Statistical downscaling method Climate change Spectral wave modelling Weather type Climat de vague Descente d'échelle dynamique Descente d'échelle statistique Changement climatique Modélisation spectrale de vagues Types de temps [SPI.OTHER]Engineering Sciences [physics]/Other info:eu-repo/semantics/doctoralThesis Theses 2013 ftunivnantes 2023-03-07T23:43:52Z Wave climate analysis is of utmost importance to understand the evolution and dynamics of coastal zones, to estimate the occurrence of extreme events, to design protections for ports, onshore and offshore infrastructure, to characterize wave resources for wave energy conversion, to quantify sediment erosion and accretion processes, et cetera. Thus, this thesis project aims to improve knowledge of wave climatology in the growing context of climate change prediction with a two-step approach: (i) enhancement of the understanding of the present wave climate along the French coastline facing the Atlantic Ocean, English Channel and North Sea and (ii) estimation of possible future wave climate evolution. For this purpose, the estimation of climate change impacts on the wave climate requires three key parameters: (i) detailed knowledge of current wave climate variability, (ii) the application of climate change scenarios from Global Climate Models and (iii) the definition of an appropriate downscaling method. To answer these questions, ANEMOC-2, a hindcast sea-state data base has been built based on the third-generation spectral wave model TOMAWAC (Benoit et al., 1996) over the period 1979-2009, and the future wave climate has been simulated over the period 2061-2100 by means of dynamical and statistical downscaling methods. In particular, an original approach comparing sea-state projections obtained from dynamical and statistical downscaling methods has been applied over the period 2061-2100 for B1, A1B and A2 scenarios (Forth Assessments Reports, IPCC, 2007), based on the ARPEGE-CLIMAT (Salas-Mélia et al., 2005) model simulations. The wave spectral parameters resulting from the projections (i.e. significant wave height, mean period, mean direction and wave energy flux) have been compared in term of mean, joint distribution and seasonal and interannual variability.The possible climate change impacts on the wave climate along the Atlantic, English Channel and North Sea French coastline have also been evaluated. The ... Doctoral or Postdoctoral Thesis North East Atlantic Université de Nantes: HAL-UNIV-NANTES Salas ENVELOPE(-58.417,-58.417,-63.550,-63.550) |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
French |
topic |
Wave climate Dynamical downscaling method Statistical downscaling method Climate change Spectral wave modelling Weather type Climat de vague Descente d'échelle dynamique Descente d'échelle statistique Changement climatique Modélisation spectrale de vagues Types de temps [SPI.OTHER]Engineering Sciences [physics]/Other |
spellingShingle |
Wave climate Dynamical downscaling method Statistical downscaling method Climate change Spectral wave modelling Weather type Climat de vague Descente d'échelle dynamique Descente d'échelle statistique Changement climatique Modélisation spectrale de vagues Types de temps [SPI.OTHER]Engineering Sciences [physics]/Other Laugel, Amélie Sea state climatology in the North-East Atlantic Ocean : analysis of the present climate and future evolutions under climate change scenarios by means of dynamical and statistical downscaling methods |
topic_facet |
Wave climate Dynamical downscaling method Statistical downscaling method Climate change Spectral wave modelling Weather type Climat de vague Descente d'échelle dynamique Descente d'échelle statistique Changement climatique Modélisation spectrale de vagues Types de temps [SPI.OTHER]Engineering Sciences [physics]/Other |
description |
Wave climate analysis is of utmost importance to understand the evolution and dynamics of coastal zones, to estimate the occurrence of extreme events, to design protections for ports, onshore and offshore infrastructure, to characterize wave resources for wave energy conversion, to quantify sediment erosion and accretion processes, et cetera. Thus, this thesis project aims to improve knowledge of wave climatology in the growing context of climate change prediction with a two-step approach: (i) enhancement of the understanding of the present wave climate along the French coastline facing the Atlantic Ocean, English Channel and North Sea and (ii) estimation of possible future wave climate evolution. For this purpose, the estimation of climate change impacts on the wave climate requires three key parameters: (i) detailed knowledge of current wave climate variability, (ii) the application of climate change scenarios from Global Climate Models and (iii) the definition of an appropriate downscaling method. To answer these questions, ANEMOC-2, a hindcast sea-state data base has been built based on the third-generation spectral wave model TOMAWAC (Benoit et al., 1996) over the period 1979-2009, and the future wave climate has been simulated over the period 2061-2100 by means of dynamical and statistical downscaling methods. In particular, an original approach comparing sea-state projections obtained from dynamical and statistical downscaling methods has been applied over the period 2061-2100 for B1, A1B and A2 scenarios (Forth Assessments Reports, IPCC, 2007), based on the ARPEGE-CLIMAT (Salas-Mélia et al., 2005) model simulations. The wave spectral parameters resulting from the projections (i.e. significant wave height, mean period, mean direction and wave energy flux) have been compared in term of mean, joint distribution and seasonal and interannual variability.The possible climate change impacts on the wave climate along the Atlantic, English Channel and North Sea French coastline have also been evaluated. The ... |
author2 |
Laboratoire d'Hydraulique Saint-Venant / Saint-Venant Laboratory for Hydraulics (Saint-Venant) École des Ponts ParisTech (ENPC)-PRES Université Paris-Est-EDF (EDF)-Avant création Cerema Université Paris-Est Michel Benoit |
format |
Doctoral or Postdoctoral Thesis |
author |
Laugel, Amélie |
author_facet |
Laugel, Amélie |
author_sort |
Laugel, Amélie |
title |
Sea state climatology in the North-East Atlantic Ocean : analysis of the present climate and future evolutions under climate change scenarios by means of dynamical and statistical downscaling methods |
title_short |
Sea state climatology in the North-East Atlantic Ocean : analysis of the present climate and future evolutions under climate change scenarios by means of dynamical and statistical downscaling methods |
title_full |
Sea state climatology in the North-East Atlantic Ocean : analysis of the present climate and future evolutions under climate change scenarios by means of dynamical and statistical downscaling methods |
title_fullStr |
Sea state climatology in the North-East Atlantic Ocean : analysis of the present climate and future evolutions under climate change scenarios by means of dynamical and statistical downscaling methods |
title_full_unstemmed |
Sea state climatology in the North-East Atlantic Ocean : analysis of the present climate and future evolutions under climate change scenarios by means of dynamical and statistical downscaling methods |
title_sort |
sea state climatology in the north-east atlantic ocean : analysis of the present climate and future evolutions under climate change scenarios by means of dynamical and statistical downscaling methods |
publisher |
HAL CCSD |
publishDate |
2013 |
url |
https://pastel.archives-ouvertes.fr/tel-00966849 https://pastel.archives-ouvertes.fr/tel-00966849/document https://pastel.archives-ouvertes.fr/tel-00966849/file/TH2013PEST1120_incomplete.pdf |
long_lat |
ENVELOPE(-58.417,-58.417,-63.550,-63.550) |
geographic |
Salas |
geographic_facet |
Salas |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_source |
https://pastel.archives-ouvertes.fr/tel-00966849 Autre. Université Paris-Est, 2013. Français. ⟨NNT : 2013PEST1120⟩ |
op_relation |
NNT: 2013PEST1120 tel-00966849 https://pastel.archives-ouvertes.fr/tel-00966849 https://pastel.archives-ouvertes.fr/tel-00966849/document https://pastel.archives-ouvertes.fr/tel-00966849/file/TH2013PEST1120_incomplete.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1766139313171464192 |