Observed and projected sea surface temperature seasonal changes in the Western English Channel from satellite data and CMIP5 multi-model ensemble

被引:15
|
作者
L'Heveder, Blandine [1 ]
Speich, Sabrina [2 ]
Ragueneau, Olivier [1 ]
Gohin, Francis [3 ]
Bryere, Philippe [4 ]
机构
[1] LEMAR, IUEM Technopole Brest Iroise,Rue Dumont Urville, F-29280 Plouzane, France
[2] ENS, LMD, Paris, France
[3] Ifremer, Ctr Brest, DYNECO PELAGOS, Plouzane, France
[4] ACRI HE, Brest, France
关键词
SST; Climate change; Western English Channel; CMIP5; regional study; FUTURE CLIMATE SCENARIO; NORTH-SEA; MARINE ECOSYSTEMS; KARENIA-MIKIMOTOI; SHELF SEAS; MODEL; TRENDS; VARIABILITY; BLOOM; SST;
D O I
10.1002/joc.4882
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Seasonal Sea Surface Temperature (SST) changes in the Western English Channel have been estimated for the previous decades from high-resolution satellite data. Coastal seas, well separated from offshore waters by intense frontal structures, show colder SST by 1-2 degrees C in summer. A significant warming trend is observed in the autumn season. This positive trend is stronger offshore, with an annual mean SST increase of 0.32 degrees C decade(-1), but weaker in coastal waters (0.23 degrees C decade(-1)), where strong vertical mixing induced by tides and winds acts to reduce surface warming. The performance of an ensemble of CMIP5 climate model in simulating recent seasonal changes of SST in the region is estimated. The median of CMIP5 models very well reproduces the observed SST mean seasonal cycle in offshore waters but is less proficient in the coastal sector due to the coarse resolution of the models and the absence of tidal forcing and related processes. In the Iroise Sea, a region of intense biological activity located off the western tip of Brittany, the trend of the annual mean SST is relatively well simulated, albeit somewhat underestimated (0.20 degrees C decade(-1)) and evenly distributed throughout the year. Here, the increase in annual mean SST in CMIP5 future scenarios simulations ranges from 0.5 degrees C (RCP2.6) to 2.5 degrees C (RCP8.5) by year 2100, with a seasonal modulation leading to a more intense warming in summer than that in winter. This increase in SST may strongly affect marine biology, particularly phytoplankton phenology, macro-algae biomass and benthic fauna, including exploited shellfish, in the Western English Channel.
引用
收藏
页码:2831 / 2849
页数:19
相关论文
共 49 条
  • [1] Future changes in meteorological drought characteristics over Bangladesh projected by the CMIP5 multi-model ensemble
    Khan, Jamal Uddin
    Islam, A. K. M. Saiful
    Das, Mohan K.
    Mohammed, Khaled
    Bala, Sujit Kumar
    Islam, G. M. Tarekul
    CLIMATIC CHANGE, 2020, 162 (02) : 667 - 685
  • [2] Future changes in meteorological drought characteristics over Bangladesh projected by the CMIP5 multi-model ensemble
    Jamal Uddin Khan
    A. K. M. Saiful Islam
    Mohan K. Das
    Khaled Mohammed
    Sujit Kumar Bala
    G. M. Tarekul Islam
    Climatic Change, 2020, 162 : 667 - 685
  • [3] Statistical downscaling of CMIP5 multi-model ensemble for projected changes of climate in the Indus River Basin
    Su, Buda
    Huang, Jinlong
    Gemmer, Marco
    Jian, Dongnan
    Tao, Hui
    Jiang, Tong
    Zhao, Chengyi
    ATMOSPHERIC RESEARCH, 2016, 178 : 138 - 149
  • [4] Seasonal and regional changes in temperature projections over the Arabian Peninsula based on the CMIP5 multi-model ensemble dataset
    Almazroui, Mansour
    Khalid, M. Salman
    Islam, M. Nazrul
    Saeed, Sajjad
    ATMOSPHERIC RESEARCH, 2020, 239
  • [5] Projected changes in modified Thornthwaite climate zones over Southwest Asia using a CMIP5 multi-model ensemble
    Rahimi, Jaber
    Khalili, Ali
    Butterbach-Bahl, Klaus
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (12) : 4575 - 4594
  • [6] Evaluation of CMIP5 dynamic sea surface height multi-model simulations against satellite observations
    Felix W. Landerer
    Peter J. Gleckler
    Tong Lee
    Climate Dynamics, 2014, 43 : 1271 - 1283
  • [7] Evaluation of CMIP5 dynamic sea surface height multi-model simulations against satellite observations
    Landerer, Felix W.
    Gleckler, Peter J.
    Lee, Tong
    CLIMATE DYNAMICS, 2014, 43 (5-6) : 1271 - 1283
  • [8] Probabilistic multi-model ensemble prediction of interdecadal variability of East Asian surface air temperature based on CMIP5 data
    Zhou, Hongmei
    Wang, Shusu
    Wang, Shuqin
    Mao, Yue
    FOURTH INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND ENVIRONMENTAL PROTECTION, 2020, 467
  • [9] Projected Seasonal Changes in Large-Scale Global Precipitation and Temperature Extremes Based on the CMIP5 Ensemble
    Zhan, Wang
    He, Xiaogang
    Sheffield, Justin
    Wood, Eric F.
    JOURNAL OF CLIMATE, 2020, 33 (13) : 5651 - 5671
  • [10] Projected seasonal changes in large-scale global precipitation and temperature extremes based on the cmip5 ensemble
    Zhan W.
    He X.
    Sheffield J.
    Wood E.F.
    Journal of Climate, 2020, 33 (03) : 5651 - 5671