Articles | Volume 15, issue 6
https://doi.org/10.5194/esd-15-1401-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-15-1401-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Nov 2024
Research article |
| 08 Nov 2024
| 08 Nov 2024
Dakar Niño under global warming investigated by a high-resolution regionally coupled model
Geophysical Institute, University of Bergen, 5007 Bergen, Norway
Bjerknes Centre for Climate Research, 5007 Bergen, Norway
Rubén Vázquez
Departamento de Física y Matemáticas, Universidad de Alcalá, 28801 Alcalá de Henares, Spain
Instituto Universitario de Investigación Marina (INMAR), Universidad de Cádiz, 11510 Cádiz, Spain
William Cabos
Departamento de Física y Matemáticas, Universidad de Alcalá, 28801 Alcalá de Henares, Spain
Claudia Gutiérrez
Departamento de Física y Matemáticas, Universidad de Alcalá, 28801 Alcalá de Henares, Spain
Dmitry V. Sein
Alfred Wegener Institute for Polar and Marine Research, 27570 Bremerhaven, Germany
Shirshov Institute of Oceanography, Russian Academy of Sciences, Moscow, 117218, Russia
Moscow Institute of Physics and Technology, Moscow, 141701, Russia
Marie-Lou Bachèlery
Geophysical Institute, University of Bergen, 5007 Bergen, Norway
CMCC Foundation – Euro-Mediterranean Center on Climate Change, 40127 Bologna, Italy
Bjerknes Centre for Climate Research, 5007 Bergen, Norway
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Cited articles
Aristegui, J., Barton, E. D., Alvarez-Salgado, X. A., Santos, A. M. P., Figueiras, F. G., Kifani, S., Hernandez-Leon, S., Mason, E., Machu, E., and Demarcq, H.: Sub-regional ecosystem variability in the Canary Current upwelling, Prog. Oceanogr., 83, 33–48, https://doi.org/10.1016/j.pocean.2009.07.031, 2009.
Arrasate-Lopez, M., Tuset, V. M., Santana, J. I., Garcia-Mederos, A., Ayza, O., and Gonzalez, J. A.: Fishing methods for sustainable shrimp fisheries in the Canary Islands (North-West Africa), Afr. J. Mar. Sci., 34, 331–339, https://doi.org/10.2989/1814232x.2012.725281, 2012.
Bachelery, M. L., Illig, S., and Rouault, M.: Interannual Coastal Trapped Waves in the Angola-Benguela Upwelling System and Benguela Nino and Nina events, J. Marine Syst., 203, 103262, https://doi.org/10.1016/j.jmarsys.2019.103262, 2020.
Bakun, A.: Global Climate Change and Intensification of Coastal Ocean Upwelling, Science, 247, 198–201, https://doi.org/10.1126/science.247.4939.198, 1990.
Barton, E. D., Aristegui, J., Tett, P., Canton, M., Garcia-Braun, J., Hernandez-Leon, S., Nykjaer, L., Almeida, C., Almunia, J., Ballesteros, S., Basterretxea, G., Escanez, J., Garcia-Weill, L., Hernandez-Guerra, A., Lopez-Laatzen, F., Molina, R., Montero, M. F., Navarro-Perez, E., Rodriguez, J. M., van Lenning, K., Velez, H., and Wild, K.: The transition zone of the Canary Current upwelling region, Prog. Oceanogr., 41, 455–504, https://doi.org/10.1016/S0079-6611(98)00023-8, 1998.
Becognee, P., Almeida, C., Barrera, A., Hernandez-Guerra, A., and Hernandez-Leon, S.: Annual cycle of clupeiform larvae around Gran Canaria Island, Canary Islands, Fish. Oceanogr., 15, 293–300, https://doi.org/10.1111/j.1365-2419.2005.00390.x, 2006.
Block, K. and Mauritsen, T.: Forcing and feedback in the MPI-ESM-LR coupled model under abruptly quadrupled CO2, J. Adv. Model. Earth Sy., 5, 676–691, https://doi.org/10.1002/jame.20041, 2013.
Bracegirdle, T. J., Holmes, C. R., Hosking, J. S., Marshall, G. J., Osman, M., Patterson, M., and Rackow, T.: Improvements in Circumpolar Southern Hemisphere Extratropical Atmospheric Circulation in CMIP6 Compared to CMIP5, Earth Space Sci., 7, e2019EA001065, https://doi.org/10.1029/2019EA001065, 2020.
Brandimarte, L., Di Baldassarre, G., Bruni, G., D'Odorico, P., and Montanari, A.: Relation Between the North-Atlantic Oscillation and Hydroclimatic Conditions in Mediterranean Areas, Water Resour. Manag., 25, 1269–1279, https://doi.org/10.1007/s11269-010-9742-5, 2011.
Cabos, W., Sein, D. V., Pinto, J. G., Fink, A. H., Koldunov, N. V., Alvarez, F., Izquierdo, A., Keenlyside, N., and Jacob, D.: The South Atlantic Anticyclone as a key player for the representation of the tropical Atlantic climate in coupled climate models, Clim. Dynam., 48, 4051–4069, https://doi.org/10.1007/s00382-016-3319-9, 2017.
Cabos, W., de la Vara, A., Alvarez-Garcia, F. J., Sanchez, E., Sieck, K., Perez-Sanz, J. I., Limareva, N., and Sein, D. V.: Impact of ocean-atmosphere coupling on regional climate: the Iberian Peninsula case, Clim. Dynam., 54, 4441–4467, https://doi.org/10.1007/s00382-020-05238-x, 2020.
Chang, P., Xu, G. P., Kurian, J., Small, R. J., Danabasoglu, G., Yeager, S., Castruccio, F., Zhang, Q. Y., Rosenbloom, N., and Chapman, P.: Uncertain future of sustainable fisheries environment in eastern boundary upwelling zones under climate change, Commun. Earth Environ., 4, 19, https://doi.org/10.1038/s43247-023-00681-0, 2023.
Chen, S. H., Huang, C. C., Kuo, Y. C., Tseng, Y. H., Gu, Y., Earl, K., Chen, C. Y., Choi, Y., and Liou, K. N.: Impacts of Saharan Mineral Dust on Air-Sea Interaction over North Atlantic Ocean Using a Fully Coupled Regional Model, J. Geophys. Res.-Atmos., 126, e2020JD033586, https://doi.org/10.1029/2020JD033586, 2021.
Choudhury, B. A., Rajesh, P. V., Zahan, Y., and Goswami, B. N.: Evolution of the Indian summer monsoon rainfall simulations from CMIP3 to CMIP6 models, Clim. Dynam., 58, 2637–2662, https://doi.org/10.1007/s00382-021-06023-0, 2022.
Colberg, F. and Reason, C. J. C.: A model study of the Angola Benguela Frontal Zone: Sensitivity to atmospheric forcing, Geophys. Res. Lett., 33, L19608, https://doi.org/10.1029/2006gl027463, 2006.
Cook, K. H. and Vizy, E. K.: Detection and Analysis of an Amplified Warming of the Sahara Desert, J. Climate, 28, 6560–6580, https://doi.org/10.1175/Jcli-D-14-00230.1, 2015.
Counillon, F., Keenlyside, N. S., Wang, S., Devilliers, M., Gupta, A., Koseki, S., and Shen, M.-L.: Framework for an ocean-connected supermodel of the Earth System, J. Adv. Model. Earth Sy., 15, e2022MS003310, https://doi.org/10.1029/2022MS003310, 2023.
Crespo, L. R., Prigent, A., Keenlyside, N., Koseki, S., Svendsen, L., Richter, I., and Sanchez-Gomez, E.: Weakening of the Atlantic Nino variability under global warming, Nat. Clim. Change, 12, 822–827, https://doi.org/10.1038/s41558-022-01453-y, 2022.
Cropper, T. E., Hanna, E., and Bigg, G. R.: Spatial and temporal seasonal trends in coastal upwelling off Northwest Africa, 1981–2012, Deep-Sea Res. Pt. I, 86, 94–111, https://doi.org/10.1016/j.dsr.2014.01.007, 2014.
Davis, R. E., Hayden, B. P., Gay, D. A., Phillips, W. L., and Jones, G. V.: The North Atlantic subtropical anticyclone, J. Climate, 10, 728–744, https://doi.org/10.1175/1520-0442(1997)010<0728:Tnasa>2.0.Co;2, 1997.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Holm, E. V., Isaksen, L., Kallberg, P., Kohler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J. J., Park, B. K., Peubey, C., de Rosnay, P., Tavolato, C., Thepaut, J. N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011.
de la Vara, A., Cabos, W., Sein, D. V., Sidorenko, D., Koldunov, N. I. V., Koseki, S., Soares, P. M. M., and Danilov, S.: On the impact of atmospheric vs oceanic resolutions on the representation of the sea surface temperature in the South Eastern Tropical Atlantic, Clim. Dynam., 54, 4733–4757, https://doi.org/10.1007/s00382-020-05256-9, 2020.
Deppenmeier, A. L., Haarsma, R. J., LeSager, P., and Hazeleger, W.: The effect of vertical ocean mixing on the tropical Atlantic in a coupled global climate model, Clim. Dynam., 54, 5089–5109, https://doi.org/10.1007/s00382-020-05270-x, 2020.
Dippe, T., Greatbatch, R. J., and Ding, H.: On the relationship between Atlantic Nio variability and ocean dynamics, Clim. Dynam., 51, 597–612, https://doi.org/10.1007/s00382-017-3943-z, 2018.
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016.
Giorgetta, M. A., Jungclaus, J., Reick, C. H., Legutke, S., Bader, J., Bottinger, M., Brovkin, V., Crueger, T., Esch, M., Fieg, K., Glushak, K., Gayler, V., Haak, H., Hollweg, H. D., Ilyina, T., Kinne, S., Kornblueh, L., Matei, D., Mauritsen, T., Mikolajewicz, U., Mueller, W., Notz, D., Pithan, F., Raddatz, T., Rast, S., Redler, R., Roeckner, E., Schmidt, H., Schnur, R., Segschneider, J., Six, K. D., Stockhause, M., Timmreck, C., Wegner, J., Widmann, H., Wieners, K. H., Claussen, M., Marotzke, J., and Stevens, B.: Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the Coupled Model Intercomparison Project phase 5, J. Adv. Model. Earth Sy., 5, 572–597, https://doi.org/10.1002/jame.20038, 2013.
Giorgi, F. and Lionello, P.: Climate change projections for the Mediterranean region, Global Planet. Change, 63, 90–104, https://doi.org/10.1016/j.gloplacha.2007.09.005, 2008.
Gomez-Letona, M., Ramos, A. G., Coca, J., and Aristegui, J.: Trends in Primary Production in the Canary Current Upwelling System-A Regional Perspective Comparing Remote Sensing Models, Front. Mar. Sci., 4, 370, https://doi.org/10.3389/fmars.2017.00370, 2017.
Good, S. A., Embury, O., Bulgin, C. E., and Mittaz, J.: ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis Climate Data Record, version 2.0, Centre for Environmental Data Analysis [data set], 22 August 2019, https://doi.org/10.5285/aced40d7cb964f23a0fd3e85772f2d48, 2019.
Haarsma, R. J., Roberts, M. J., Vidale, P. L., Senior, C. A., Bellucci, A., Bao, Q., Chang, P., Corti, S., Fučkar, N. S., Guemas, V., von Hardenberg, J., Hazeleger, W., Kodama, C., Koenigk, T., Leung, L. R., Lu, J., Luo, J.-J., Mao, J., Mizielinski, M. S., Mizuta, R., Nobre, P., Satoh, M., Scoccimarro, E., Semmler, T., Small, J., and von Storch, J.-S.: High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6, Geosci. Model Dev., 9, 4185–4208, https://doi.org/10.5194/gmd-9-4185-2016, 2016.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horanyi, A., Munoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Holm, E., Janiskova, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thepaut, J. N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Hurrell, J. W., Kushnir, Y., and Visbeck, M.: Climate – The North Atlantic oscillation, Science, 291, 603–605, https://doi.org/10.1126/science.1058761, 2001.
Jacob, D.: A note to the simulation of the annual and inter-annual variability of the water budget over the Baltic Sea drainage basin, Meteorol. Atmos. Phys., 77, 61–73, https://doi.org/10.1007/s007030170017, 2001.
Jungclaus, J. H., Fischer, N., Haak, H., Lohmann, K., Marotzke, J., Matei, D., Mikolajewicz, U., Notz, D., and von Storch, J. S.: Characteristics of the ocean simulations in the Max Planck Institute Ocean Model (MPIOM) the ocean component of the MPI-Earth system model, J. Adv. Model. Earth Sy., 5, 422–446, https://doi.org/10.1002/jame.20023, 2013.
Klenz, T., Dengler, M., and Brandt, P.: Seasonal Variability of the Mauritania Current and Hydrography at 18° N, J. Geophys. Res.-Oceans, 123, 8122–8137, https://doi.org/10.1029/2018jc014264, 2018.
Koseki, S. and Koungue, R. A. I.: Regional atmospheric response to the Benguela Ninas, Int. J. Climatol., 41, E1483–E1497, https://doi.org/10.1002/joc.6782, 2021.
Koseki, S., Giordani, H., and Goubanova, K.: Frontogenesis of the Angola–Benguela Frontal Zone, Ocean Sci., 15, 83–96, https://doi.org/10.5194/os-15-83-2019, 2019.
Koseki, S., Vázquez, R., Cabos, W., Gutierrez, C., Sein, D., and Bacherery, M.-L.: ROM data and code for Dakar Niño variability under global warming investigated by a high-resolution regionally coupled model, Zenodo [data set], https://doi.org/10.5281/zenodo.10244334, 2023.
Koungue, R. A. I., Rouault, M., Illig, S., Brandt, P., and Jouanno, J.: Benguela Ninos and Benguela Ninas in Forced Ocean Simulation From 1958 to 2015, J. Geophys. Res.-Oceans, 124, 5923–5951, https://doi.org/10.1029/2019jc015013, 2019.
Koungue, R. A. I., Brandt, P., Luebbecke, J., Prigent, A., Martins, M. S., and Rodrigues, R. R.: The 2019 Benguela Nino, Front. Mar. Sci., 8, 800103, https://doi.org/10.3389/fmars.2021.800103, 2021.
Lazaro, C., Fernandes, M. J., Santos, A. M. P., and Oliveira, P.: Seasonal and interannual variability of surface circulation in the Cape Verde region from 8 years of merged T/P and ERS-2 altimeter data, Remote Sens. Environ., 98, 45–62, https://doi.org/10.1016/j.rse.2005.06.005, 2005.
Lopez-Moreno, J. I., Vicente-Serrano, S. M., Moran-Tejeda, E., Lorenzo-Lacruz, J., Kenawy, A., and Beniston, M.: Effects of the North Atlantic Oscillation (NAO) on combined temperature and precipitation winter modes in the Mediterranean mountains: Observed relationships and projections for the 21st century, Global Planet. Change, 77, 62–76, https://doi.org/10.1016/j.gloplacha.2011.03.003, 2011.
Lopez-Parages, J., Auger, P. A., Rodriguez-Fonseca, B., Keenlyside, N., Gaetan, C., Rubino, A., Arisido, M. W., and Brochier, T.: El Nino as a predictor of round sardinella distribution along the northwest African coast, Prog. Oceanogr., 186, 102341, https://doi.org/10.1016/j.pocean.2020.102341, 2020.
Marsland, S. J., Haak, H., Jungclaus, J. H., Latif, M., and Roske, F.: The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates, Ocean Model., 5, 91–127, https://doi.org/10.1016/S1463-5003(02)00015-X, 2003.
Martin-Rey, M. and Lazar, A.: Is the boreal spring tropical Atlantic variability a precursor of the Equatorial Mode?, Clim. Dynam., 53, 2339–2353, https://doi.org/10.1007/s00382-019-04851-9, 2019.
Mittelstaedt, E.: The Ocean Boundary Along the Northwest African Coast – Circulation and Oceanographic Properties at the Sea-Surface, Prog. Oceanogr., 26, 307–355, https://doi.org/10.1016/0079-6611(91)90011-A, 1991.
Ndoye, S., Capet, X., Estrade, P., Sow, B., Dagorne, D., Lazar, A., Gaye, A., and Brehmer, P.: SST patterns and dynamics of the southern Senegal-Gambia upwelling center, J. Geophys. Res.-Oceans, 119, 8315–8335, https://doi.org/10.1002/2014jc010242, 2014.
Oettli, P., Yuan, C., and Richter, I.: 10 – The other coastal Niño/Niña – the Benguela, California, and Dakar Niños/Niñas, in: Tropical and Extratropical Air-Sea Interactions. Modes of Climate Variations, Elsevier, 237–266, https://doi.org/10.1016/B978-0-12-818156-0.00010-1, 2021.
Oettli, P., Morioka, Y., and Yamagata, T.: A Regional Climate Mode Discovered in the North Atlantic: Dakar Nino/Nina, Sci. Rep.-UK, 6, 18782, https://doi.org/10.1038/srep18782, 2016.
Pardo, P. C., Padin, X. A., Gilcoto, M., Farina-Busto, L., and Perez, F. F.: Evolution of upwelling systems coupled to the long-term variability in sea surface temperature and Ekman transport, Clim. Res., 48, 231–246, https://doi.org/10.3354/cr00989, 2011.
Pastor, M. V., Pelegri, J. L., Hernandez-Guerra, A., Font, J., Salat, J., and Emellanov, M.: Water and nutrient fluxes off Northwest Africa, Cont. Shelf Res., 28, 915–936, https://doi.org/10.1016/j.csr.2008.01.011, 2008.
Perez-Hernandez, M. D., Hernandez-Guerra, A., Fraile-Nuez, E., Comas-Rodriguez, I., Benitez-Barrios, V. M., Dominguez-Yanes, J. F., Velez-Belchi, P., and De Armas, D.: The source of the Canary current in fall 2009, J. Geophys. Res.-Oceans, 118, 2874–2891, https://doi.org/10.1002/jgrc.20227, 2013.
Pietikäinen, J.-P., O'Donnell, D., Teichmann, C., Karstens, U., Pfeifer, S., Kazil, J., Podzun, R., Fiedler, S., Kokkola, H., Birmili, W., O'Dowd, C., Baltensperger, U., Weingartner, E., Gehrig, R., Spindler, G., Kulmala, M., Feichter, J., Jacob, D., and Laaksonen, A.: The regional aerosol-climate model REMO-HAM, Geosci. Model Dev., 5, 1323–1339, https://doi.org/10.5194/gmd-5-1323-2012, 2012.
Priestley, M. D. K., Ackerley, D., Catto, J. L., Hodges, K. I., McDonald, R. E., and Lee, R. W.: An Overview of the Extratropical Storm Tracks in CMIP6 Historical Simulations, J. Climate, 33, 6315–6343, https://doi.org/10.1175/Jcli-D-19-0928.1, 2020.
Prigent, A., Koungue, R. A. I., Lübbecke, J. F., Brandt, P., Harlass, J., and Latif, M.: Future weakening of southeastern tropical Atlantic Ocean interannual sea surface temperature variability in a global climate model, Clim. Dynam., 62, 1997–2016, https://doi.org/10.1007/s00382-023-07007-y, 2023.
Richter, I. and Tokinaga, H.: An overview of the performance of CMIP6 models in the tropical Atlantic: mean state, variability, and remote impacts, Clim. Dynam., 55, 2579–2601, https://doi.org/10.1007/s00382-020-05409-w, 2020.
Richter, I. and Xie, S. P.: On the origin of equatorial Atlantic biases in coupled general circulation models, Clim. Dynam., 31, 587–598, https://doi.org/10.1007/s00382-008-0364-z, 2008.
Rouault, M., Illig, S., Lubbecke, J., and Koungue, R. A. I.: Origin, development and demise of the 2010-2011 Benguela Nino, J. Marine Syst., 188, 39–48, https://doi.org/10.1016/j.jmarsys.2017.07.007, 2018.
Santana-Falcon, Y., Mason, E., and Aristegui, J.: Offshore transport of organic carbon by upwelling filaments in the Canary Current System, Prog. Oceanogr., 186, 102322, https://doi.org/10.1016/j.pocean.2020.102322, 2020.
Sein, D. V., Mikolajewicz, U., Groger, M., Fast, I., Cabos, W., Pinto, J. G., Hagemann, S., Semmler, T., Izquierdo, A., and Jacob, D.: Regionally coupled atmosphere-ocean-sea ice-marine biogeochemistry model ROM: 1. Description and validation, J. Adv. Model. Earth Sy., 7, 268–304, https://doi.org/10.1002/2014ms000357, 2015.
Sein, D. V., Groger, M., Cabos, W., Alvarez-Garcia, F. J., Hagemann, S., Pinto, J. G., Izquierdo, A., de la Vara, A., Koldunov, N. V., Dvornikov, A. Y., Limareva, N., Alekseeva, E., Martinez-Lopez, B., and Jacob, D.: Regionally Coupled Atmosphere-Ocean-Marine Biogeochemistry Model ROM: 2. Studying the Climate Change Signal in the North Atlantic and Europe, J. Adv. Model. Earth Sy., 12, e2019MS001646, https://doi.org/10.1029/2019MS001646, 2020.
Shen, M. L., Keenlyside, N., Selten, F., Wiegerinck, W., and Duane, G. S.: Dynamically combining climate models to “supermodel” the tropical Pacific, Geophys. Res. Lett., 43, 359–366, https://doi.org/10.1002/2015gl066562, 2016.
Soares, P. M. M., Lima, D. C. A., Semedo, A., Cardoso, R. M., Cabos, W., and Sein, D.: The North African coastal low level wind jet: a high resolution view (vol 53, pg 1211, 2019), Clim. Dynam., 53, 1231–1231, https://doi.org/10.1007/s00382-018-4475-x, 2019.
Sylla, A., Mignot, J., Capet, X., and Gaye, A. T.: Weakening of the Senegalo-Mauritanian upwelling system under climate change, Clim. Dynam., 53, 4447–4473, https://doi.org/10.1007/s00382-019-04797-y, 2019.
Sylla, A., Sanchez Gomez, E., Mignot, J., and López-Parages, J.: Impact of increased resolution on the representation of the Canary upwelling system in climate models, Geosci. Model Dev., 15, 8245–8267, https://doi.org/10.5194/gmd-15-8245-2022, 2022.
Toniazzo, T. and Koseki, S.: A Methodology for Anomaly Coupling in Climate Simulation, J. Adv. Model. Earth Sy., 10, 2061–2079, https://doi.org/10.1029/2018ms001288, 2018.
Vázquez, R., Parras-Berrocal, I., Cabos, W., Sein, D. V., Mananes, R., and Izquierdo, A.: Assessment of the Canary current upwelling system in a regionally coupled climate model, Clim. Dynam., 58, 69–85, https://doi.org/10.1007/s00382-021-05890-x, 2022.
Vázquez, R., Parras-Berrocal, I., Koseki, S., Cabos, W., Sein, D. V., and Izquierdo, A.: Seasonality of coastal upwelling trends in the Mauritania-Senegalese region under RCP8.5 climate change scenarios, Sci. Total Environ., 898, 166391, https://doi.org/10.1016/j.scitotenv.2023.166391, 2023.
Vázquez, R., Parras-Berrocal, I. M., Cabos, W., Sein, D., Mañanes, R., Bolado-Penagos, M., and Izquierdo, A.: Climate change in the Canary/Iberia upwelling region: the role of ocean stratification and wind, Environ. Res. Lett., 19, 074064, https://doi.org/10.1088/1748-9326/ad5ab4, 2024.
Vijith, V., Vinayachandran, P. N., Webber, B. G. M., Matthews, A. J., George, J. V., Kannaujia, V. K., Lotliker, A. A., and Amol, P.: Closing the sea surface mixed layer temperature budget from in situ observations alone: Operation Advection during BoBBLE, Sci. Rep.-UK, 10, 7062, https://doi.org/10.1038/s41598-020-63320-0, 2020.
Voldoire, A., Exarchou, E., Sanchez-Gomez, E., Demissie, T., Deppenmeier, A. L., Frauen, C., Goubanova, K., Hazeleger, W., Keenlyside, N., Koseki, S., Prodhomme, C., Shonk, J., Toniazzo, T., and Traore, A. K.: Role of wind stress in driving SST biases in the Tropical Atlantic, Clim. Dynam., 53, 3481–3504, https://doi.org/10.1007/s00382-019-04717-0, 2019.
Yang, Y., Wu, L. X., Cai, W. J., Jia, F., Ng, B., Wang, G. J., and Geng, T.: Suppressed Atlantic Nino/Nina variability under greenhouse warming, Nat. Clim. Change, 12, 814–821, https://doi.org/10.1038/s41558-022-01444-z, 2022.
Yang, Y., Wu, L. X., Guo, Y., Gan, B. L., Cai, W. J., Huang, G., Li, X. C., Geng, T., Jing, Z., Li, S. J., Liang, X., and Xie, S. P.: Greenhouse warming intensifies north tropical Atlantic climate variability, Sci. Adv., 7, eabg9690, https://doi.org/10.1126/sciadv.abg9690, 2021.
Zhou, L. M.: Desert Amplification in a Warming Climate, Sci. Rep.-UK, 6, 31065, https://doi.org/10.1038/srep31065, 2016.
Zuo, H., Balmaseda, M. A., Tietsche, S., Mogensen, K., and Mayer, M.: The ECMWF operational ensemble reanalysis–analysis system for ocean and sea ice: a description of the system and assessment, Ocean Sci., 15, 779–808, https://doi.org/10.5194/os-15-779-2019, 2019.
Short summary
Using a high-resolution regionally coupled model, we suggest that Dakar Niño variability will be reinforced under the Representative Concentration Pathway (RCP) 8.5 scenario. This may be induced by intensified surface heat flux anomalies and, secondarily, by anomalies in horizontal and vertical advection. Increased sea surface temperature (SST) variability can be associated with stronger wind variability, attributed to amplified surface temperature anomalies between ocean and land.
Using a high-resolution regionally coupled model, we suggest that Dakar Niño variability will be...
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