IBI-CCS: a regional high-resolution model to simulate sea level in western Europe
被引:8
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作者:
Chaigneau, Alisee A.
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机构:
Meteo France CNRS, CNRM UMR 3589, Toulouse, France
Mercator Ocean Int, Res & Dev Dept, Toulouse, FranceMeteo France CNRS, CNRM UMR 3589, Toulouse, France
Chaigneau, Alisee A.
[1
,2
]
Reffray, Guillaume
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机构:
Mercator Ocean Int, Res & Dev Dept, Toulouse, FranceMeteo France CNRS, CNRM UMR 3589, Toulouse, France
Reffray, Guillaume
[2
]
Voldoire, Aurore
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机构:
Meteo France CNRS, CNRM UMR 3589, Toulouse, FranceMeteo France CNRS, CNRM UMR 3589, Toulouse, France
Voldoire, Aurore
[1
]
Melet, Angelique
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机构:
Mercator Ocean Int, Res & Dev Dept, Toulouse, FranceMeteo France CNRS, CNRM UMR 3589, Toulouse, France
Melet, Angelique
[2
]
机构:
[1] Meteo France CNRS, CNRM UMR 3589, Toulouse, France
[2] Mercator Ocean Int, Res & Dev Dept, Toulouse, France
Projections of coastal sea level (SL) changes are of great interest for coastal risk assessment and decision making. SL projections are typically produced using global climate models (GCMs), which cannot fully resolve SL changes at the coast due to their coarse resolution and lack of representation of some relevant processes (tides, atmospheric surface pressure forcing, waves). To overcome these limitations and refine projections at regional scales, GCMs can be dynamically downscaled through the implementation of a high-resolution regional climate model (RCM). In this study, we developed the IBI-CCS (Iberian-Biscay-Ireland Climate Change Scenarios) regional ocean model based on a 1/12 degrees northeastern Atlantic Nucleus for European Modelling of the Ocean (NEMO) model configuration to dynamically downscale CNRM-CM6-1-HR, a GCM with a 1/4 degrees resolution ocean model component participating in the sixth phase of the Coupled Model Intercomparison Project (CMIP6) by the Centre National de Recherches Meteorologiques (CNRM). For a more complete representation of the processes driving coastal SL changes, tides and atmospheric surface pressure forcing are explicitly resolved in IBI-CCS in addition to the ocean general circulation. To limit the propagation of climate drifts and biases from the GCM into the regional simulations, several corrections are applied to the GCM fields used to force the RCM. The regional simulations are performed over the 1950 to 2100 period for two climate change scenarios (SSP1-2.6 and SSP5-8.5). To validate the dynamical downscaling method, the RCM and GCM simulations are compared to reanalyses and observations over the 1993-2014 period for a selection of ocean variables including SL. Results indicate that large-scale performance of IBI-CCS is better than that of the GCM thanks to the corrections applied to the RCM. Extreme SLs are also satisfactorily represented in the IBI-CCS historical simulation. Comparison of the RCM and GCM 21st century projections shows a limited impact of increased resolution (1/4 degrees to 1/12 degrees) on SL changes. Overall, bias corrections have a moderate impact on projected coastal SL changes, except in the Mediterranean Sea, where GCM biases were substantial.
机构:
Naval Res Lab, Ocean Dynam & Predict, 1009 Balch Blvd, Stennis Space Ctr, MS 39529 USANaval Res Lab, Ocean Dynam & Predict, 1009 Balch Blvd, Stennis Space Ctr, MS 39529 USA
D'Addezio, Joseph M.
Bingham, Frederick M.
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Univ N Carolina, Dept Phys & Phys Oceanog, Wilmington, NC USANaval Res Lab, Ocean Dynam & Predict, 1009 Balch Blvd, Stennis Space Ctr, MS 39529 USA
Bingham, Frederick M.
Jacobs, Gregg A.
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Naval Res Lab, Ocean Dynam & Predict, 1009 Balch Blvd, Stennis Space Ctr, MS 39529 USANaval Res Lab, Ocean Dynam & Predict, 1009 Balch Blvd, Stennis Space Ctr, MS 39529 USA
机构:
Univ Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, FranceUniv Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, France
Ayache, Mohamed
Dutay, Jean-Claude
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Univ Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, FranceUniv Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, France
Dutay, Jean-Claude
Mouchet, Anne
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Univ Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, FranceUniv Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, France
Mouchet, Anne
Tisnerat-Laborde, Nadine
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机构:
Univ Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, FranceUniv Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, France
Tisnerat-Laborde, Nadine
Montagna, Paolo
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机构:
CNR, Ist Sci Marine, Bologna, ItalyUniv Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, France
Montagna, Paolo
Tanhua, Toste
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机构:
GEOMAR Helmholtz Ctr Ocean Res Kiel, Dusternbrooker Weg 20, D-24105 Kiel, GermanyUniv Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, France
Tanhua, Toste
Siani, Giuseppe
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GEOPS Geosci Paris Sud UMR 8148, Orsay, FranceUniv Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, France
Siani, Giuseppe
Jean-Baptiste, Philippe
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Univ Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, FranceUniv Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm LSCE IPSL, F-91191 Gif Sur Yvette, France