IBI-CCS: a regional high-resolution model to simulate sea level in western Europe

被引:8
|
作者
Chaigneau, Alisee A. [1 ,2 ]
Reffray, Guillaume [2 ]
Voldoire, Aurore [1 ]
Melet, Angelique [2 ]
机构
[1] Meteo France CNRS, CNRM UMR 3589, Toulouse, France
[2] Mercator Ocean Int, Res & Dev Dept, Toulouse, France
关键词
CLIMATE-CHANGE; SURFACE TEMPERATURE; CIRCULATION MODEL; OCEAN; PROJECTIONS; IMPACT; PARAMETERIZATIONS; VARIABILITY; SENSITIVITY; ENSEMBLE;
D O I
10.5194/gmd-15-2035-2022
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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.
引用
收藏
页码:2035 / 2062
页数:28
相关论文
共 50 条
  • [1] A high resolution hindcast of the meteorological sea level component for Southern Europe: the GOS dataset
    Cid, Alba
    Castanedo, Sonia
    Abascal, Ana J.
    Menendez, Melisa
    Medina, Raul
    CLIMATE DYNAMICS, 2014, 43 (7-8) : 2167 - 2184
  • [2] The implementation of sea ice model on a regional high-resolution scale
    Prasad, Siva
    Zakharov, Igor
    Bobby, Pradeep
    McGuire, Peter
    OCEAN DYNAMICS, 2015, 65 (9-10) : 1353 - 1366
  • [3] High-resolution air sea coupling impact on two heavy precipitation events in the Western Mediterranean
    Rainaud, R.
    Brossier, C. Lebeaupin
    Ducrocq, V.
    Giordani, H.
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2017, 143 (707) : 2448 - 2462
  • [4] Caspian Sea and Black Sea Response to Greenhouse Warming in a High-Resolution Global Climate Model
    Huang, Lei
    Lee, Sun-Seon
    Timmermann, Axel
    GEOPHYSICAL RESEARCH LETTERS, 2021, 48 (04)
  • [5] Exploring Western North Pacific Tropical Cyclone Activity in the High-Resolution Community Atmosphere Model
    Wu, Xiaoning
    Reed, Kevin A.
    Callaghan, Patrick
    Bacmeister, Julio T.
    EARTH AND SPACE SCIENCE, 2022, 9 (01)
  • [6] A High-Resolution Cumulative Degree Day-Based Model to Simulate Phenological Development of Grapevine
    Molitor, Daniel
    Junk, Juergen
    Evers, Daniele
    Hoffmann, Lucien
    Beyer, Marco
    AMERICAN JOURNAL OF ENOLOGY AND VITICULTURE, 2014, 65 (01): : 72 - 80
  • [7] Sea surface salinity subfootprint variability estimates from regional high-resolution model simulations
    D'Addezio, Joseph M.
    Bingham, Frederick M.
    Jacobs, Gregg A.
    REMOTE SENSING OF ENVIRONMENT, 2019, 233
  • [8] High-resolution regional modelling of natural and anthropogenic radiocarbon in the Mediterranean Sea
    Ayache, Mohamed
    Dutay, Jean-Claude
    Mouchet, Anne
    Tisnerat-Laborde, Nadine
    Montagna, Paolo
    Tanhua, Toste
    Siani, Giuseppe
    Jean-Baptiste, Philippe
    BIOGEOSCIENCES, 2017, 14 (05) : 1197 - 1213
  • [9] An investigation of tropical Atlantic bias in a high-resolution coupled regional climate model
    Patricola, Christina M.
    Li, Mingkui
    Xu, Zhao
    Chang, Ping
    Saravanan, R.
    Hsieh, Jen-Shan
    CLIMATE DYNAMICS, 2012, 39 (9-10) : 2443 - 2463
  • [10] Projected Changes in Precipitation Extremes for Western Canada based on High-Resolution Regional Climate Simulations
    Erler, Andre R.
    Peltier, W. Richard
    JOURNAL OF CLIMATE, 2016, 29 (24) : 8841 - 8863