Publications by Topic

    Climate of Uruguay

  1. Ungerovich M., M. Barreiro, J. Kalemkerian, 2023: Simulation of extreme rainfall events in Uruguay: role of initialization and large scale dynamics. Atmospheric Research, 10.1016/j.atmosres.2023.106842.
  2. Arizmendi F., R. Trinchin, M. Barreiro, 2022: Weather regimes in subtropical South America and their impacts over Uruguay. Int. J. Climatol. doi.org/10.1002/joc.7816.
  3. Manta G., M. Renom, M. Barreiro, 2020: Climatologia de la brisa marina en Uruguay. Meteorologica, 46, 12-25.
  4. Giacosa G., M. Renom, M. Barreiro, 2020: Bloqueos atmosfericos en los oceanos Pacifico sudeste y Atlantico sur y su impacto sobre Uruguay Meteorologica, i45, 2. .
  5. Ungerovich M., M. Barreiro, 2019: Dynamics of extreme rainfall events in summer in southern Uruguay. Int. J. Climatol. 39, 3655-3667.
  6. Brito R., M. Alves, M. Barreiro, D. Bittencourt, 2019: Ondas de calor nas capitais do Sul do Brasil e Montevideu-Uruguay Rev. Brasileira de Geografia Fisica, 12, 4, 1259-1276.
  7. Barreiro M., 2017: Interannual variability of extratropical transient wave activity and its influence on rainfall over Uruguay Int. J. Climatology, doi:10.1002/joc.5082.
  8. Ungerovich M., M. Barreiro, 2017: Seasonal forecast of accumulated rainfall in southern Uruguay during spring and summer Rev. Bras. Meteorol., 32, http://dx.doi.org/10.1590/0102-77863230004
  9. Renom, M., M. Rusticucci, M. Barreiro, 2010: Multidecadal changes in the relationship between extreme temperature events in Uruguay and the general atmospheric circulation, Clim. Dyn., 10.1007/s00382-010-0986-9

    10. El Niño teleconnections and impacts over Southeastern South America

  10. Hu X., J. Eichner, D. Gong, M. Barreiro , H. Kantz, 2023: Combined impact of ENSO and Antarctic Oscillation on austral spring precipitation in Southeastern South America. Climate Dynamics, 61, 399-412.
  11. Fernandez P., M. Barreiro, 2022: A late ‘80s shift in El Niño influence on rainfall over Uruguay during austral spring. Int. J. Climatol, doi.org/10.1002/joc.7615.
  12. Perez-Fernandez, I., M. Barreiro , C. Masoller, 2021: ENSO and SAM Influence on the Generation of Long Episodes of Rossby Wave Packets During Southern Hemisphere Summer. Accepted, J. Geophys. Res. .
  13. Martin-Gomez V., M. Barreiro , T. Losada, B. Rodriguez-Fonseca, 2020: Southern hemisphere circulation anomalies and impacts over subtropical South America due to different El Niño flavours. Int. J. Climatology, DOI:10.1002/joc.6577.
  14. Martin-Gomez V., M. Barreiro , 2020: The influence of nonlinearities and different SST spatial patterns on the summertime anomalies in subtropical South America during strong ENSO events. Climate Dynamics 54, 3765–3779.
  15. Martin-Gomez V., M. Barreiro , E. Mohino, 2020: Southern Hemisphere Sensitivity to ENSO Patterns and Intensities: Impacts over Subtropical South America. Atmosphere 11, 1.
  16. Arizmendi F., M. Barreiro, 2017: ENSO teleconnections in the southern hemisphere: A climate network view. Chaos 27, doi: http://dx.doi.org/10.1063/1.5004535.
  17. Barreiro, M., N. Diaz, 2011: Land-atmosphere coupling in El Nino influence over South America Atmos. Sci. Lett., 12, 351-355, doi: 10.1002/asl.348.
  18. Barreiro, M., 2010: Influence of ENSO and the south Atlantic ocean on climate predictability over Southeastern South America. Clim. Dyn., 35, 1493-1508, DOI: 10.1007/s00382-009-0666-9
  19. Barreiro, M., A. Tippmann, 2008: Atlantic modulation of El Nino influence on summertime rainfall over Southeastern South America. Geophys. Res. Lett., 35, L16704, doi:10.1029/2008GL035019.
    20.   

    Regional ocean circulation

  20. de Mello, C., M. Barreiro, E. Hernandez-Garcia, R. Trinchin, G. Manta, 2023: A Lagrangian study of summer upwelling along the Uruguayan coast. Continental Shelf Res. 258 .
  21. de Mello, C., M. Barreiro, Y. Marin, L. Ortega, R. Trinchin, G. Manta, 2022: Relación entre frentes de convergencia y localización de la flota pesquera durante la ocurrencia de surgencia costera en Uruguay. Innotec 24 .
  22. de Mello C., M. Barreiro, L. Ortega, R. Trinchin, G. Manta, 2022: Coastal upwelling along the Uruguayan coast: structure, variability and drivers. J. Marine Systems, doi.org/10.1016/j.jmarsys.2022.103735.
  23. Manta G., S. Speich, M. Barreiro, R. Trinchin, C. de Mello, R. Laxenaire, A. Piola, 2022: Shelf Water Export at the Brazil-Malvinas Confluence Evidenced From Combined In-situ and Satellite Observations Front. Marine Science.
  24. Trinchin R., G. Manta, R. Santana, L. Rubio, S. Horta, C. Passadore, C. de Mello, Ma. Nube Szephenegyi, M. Barreiro, 2020: Hacia un monitoreo continuo de variables oceanográficas en el Parque Nacional Isla de Flores. Innotec, doi: 10.12461/21.03.
  25. Franco B., O. Defeo, A. Piola, M. Barreiro , H. Yang, L. Ortega, I. Gianelli, J. Castello, C. Vera, C. Buratti, M. Pajaro, L. Pezzi, O. Moller, 2020: Climate change impacts on the atmospheric circulation, ocean and fisheries in the southwest South Atlantic Ocean: a review. Climatic Change DOI:10.1007/s10584-020-02783-6.
  26. Trinchin R., L. Ortega, M. Barreiro, 2019: Spatiotemporal characterization of summer coastal upwelling events in Uruguay, South America. Reg. Studies in Marine Sci. 31.
  27. Manta G., S. de Mello, R. Trinchin, J. Badagian, M. Barreiro, 2018: The 2017 record marine heat wave in the southwestern Atlantic shelf Geophys. Res. Lett. https://doi.org/10.1029/2018GL081070
  28. Sitz, L. E. and coauthors, 2017: Description and evaluation of the Earth System Regional Climate Model (RegCM-ES) J. Adv. Model. Earth Syst., doi:10.1002/2017MS000933.
  29. Manta G., M. Barreiro, L. Ortega, O. Defeo, 2016: The effect of climate variability on the abundance of the sandy beach clam (Mesodesma mactroides) in the Southwestern Atlantic. J. Coastal Res., 33:531-536.
  30. Machado I., M. Barreiro, D. Calliari, 2013: Variability of chlorophyll-a in the Southwestern Atlantic from satellite images: Seasonal cycle and ENSO influences Continental Shelf Research, doi:10.1016/j.csr.2012.11.014
    31.   

    Madden-Julian Oscillation dynamics and impacts

  31. Diaz N., M. Barreiro , N. Rubido, 2023: Data driven models of the Madden-Julian Oscillation: understanding its evolution and ENSO modulation. Nature Climate and Atmos. Sci. 6, 203, https://doi.org/10.1038/s41612-023-00527-8.
  32. Corral A., M. Minjares, M. Barreiro, 2023: Increased extinction probability of the Madden-Julian oscillation after about 27 days. Phys. Rev. E 108, 054214.
  33. Silini R., S. Lerch, N. Mastrantonas, H. Kantz, M. Barreiro, C. Masoller, 2022: Improving the prediction of the Madden-Julian Oscillation of the ECMWF model by post-processing. Earth System Dynamics 13, 1157–1165.
  34. Diaz N., M. Barreiro, N. Rubido, 2022: The distinct influence of two Madden-Julian’s trajectory classes on the South American Dipole. J. Climate doi.org/10.1175/JCLI-D-21-1001.1.
  35. Silini, R., M. Barreiro , C. Masoller, 2021: Machine learning prediction of the Madden-Julian Oscillation. Nature Climate and Atmospheric Science 4, 57.
  36. Ungerovich, M, M. Barreiro, C. Masoller, 2021: Influence of Madden–Julian Oscillation on extreme rainfall events in Spring in southern Uruguay. Int. J. Climatol. , https://doi.org/10.1002/joc.7022.
  37. Barreiro M., L. Sitz, S. de Mello, R. Fuentes Franco, M. Renom, R. Farneti, 2019: Modeling the role of air-sea interaction in the impact of MJO on South American climate Int. J. Climatology, 39(2), 1104-1116.
    38.   

    Climate variability and change in South America

  38. Bettolli M. L., Solman, S., da Rocha R. P., Llopart, M., Gutiérrez, J.M., Fernández, J., Olmo, M. E., Lavin-Gullon, A., Chou, S., Carneiro Rodrigues, D., Coppola, E., Balmaceda Huarte, R., Barreiro, M., Blázquez, J., Doyle, M., Feijoo, M., Huth, R., Machado, L., Vianna Cuadra, S., 2021: The CORDEX Flagship Pilot Study in Southeastern South America: A comparative study of statistical and dynamical downscaling models in simulating daily extreme precipitation events. Clim. Dynamics, https://doi.org/10.1007/s00382-020-05549-z.
  39. Grimm, A., F. Dominguez, I Cavalcanti, T. Cavazos, M. Gain, P.L. Silvas Dias, R. Fu, C. Castro, H. Hu, M. Barreiro, 2020: South and North American Monsoons: Characteristics, Life Cycle, Variability, Modeling, and Prediction. En The Multiscale Global Monsoon System (4th Ed), pp 49-66.
  40. Diaz N., M. Barreiro, N. Rubido, 2020:Intraseasonal Predictions for the South American Rainfall Dipole. Geophys. Res. Lett. doi.org/10.1029/2020GL089985.
  41. Sagarra R., M. Barreiro, 2020: Caracterizacion de los paquetes de ondas extratropicales en el verano del hemisferio sur. Meteorologica, 45, 2.
  42. Martin-Gomez V., M. Barreiro, 2017: Effect of future climate change on the coupling between the tropical oceans and precipitation over Southeastern South America. Climatic Change, doi:10.1007/s10584-016-1888-6
  43. Martin-Gomez V., E. Hernandez-Garcia, M. Barreiro, C. Lopez, 2016: Interdecadal Variability of Southeastern South America Rainfall and Moisture Sources during the Austral Summertime. J. Climate, 29: 6751-6763.
  44. Martin-Gomez V., M. Barreiro, 2015: Analysis of ocean's influence on spring time rainfall variability over southeastern South America during the 20th century Int. J. Climatology, 36, 1344-1358. doi:10.1002/joc.4428
  45. Tirabassi, G., C. Masoller, M. Barreiro, 2014: A study of the air-sea interaction in the South Atlantic Convergence Zone through Granger Causality Int. J. Climatology, doi:10.1002/joc.4218.
  46. Barreiro, M., N. Diaz, M. Renom, 2014: Role of the global oceans and land-atmosphere interaction on summertime interdecadal variability over northern Argentina Clim. Dyn., doi:10.1007/s00382-014-2088-6
  47. Talento S., M. Barreiro, 2012: Estimation of natural variability and detection of anthropogenic signal in summertime precipitation over South America Advances in Meteorology, doi:10.1155/2012/725343.
  48. Cavalcanti, I. et al, 2011: CLARIS LPB WP6: Processes and future evolution of extreme climate events in La Plata Basin CLIVAR Exchanges Special Issue on La Plata Basin (non-refereed).
  49. Barreiro, M., A. Grimm, C. Vera, 2011: CLARIS LPB WP4: Hydroclimate past and future low-frequency variability, trends and shifts in La Plata Basin CLIVAR Exchanges Special Issue on La Plata Basin (non-refereed).
  50. Barreiro, M., P. Chang, L. Ji, R. Saravanan, A. Giannini, 2005: Dynamical Elements of Predicting Boreal Spring Tropical Atlantic Sea-Surface Temperatures. Dynam. Atmos. Oceans, Special Issue: Coupled Tropical Ocean-atmosphere dynamics and predictability, 39.
  51. Barreiro, M., P. Chang, R. Saravanan, 2005: Simulated precipitation response to SST forcing and potential predictability in the region of the South Atlantic Convergence Zone. Clym. Dyn., 24, 105-114, DOI:10.1007/s00382-004-0487-9.
  52. Barreiro, M., P. Chang, 2004: A linear tendency correction technique for improving seasonal prediction of SST. Geophys. Res. Let., 31, DOI: 10.1029/2004GL021148.
  53. Barreiro, M., A. Giannini, P. Chang, R. Saravanan, 2004: On the role of the South Atlantic atmospheric circulation in Tropical Atlantic Variability. In Earth's Climate: The Ocean-Atmosphere Interaction, Eds. Wang, Xie and Carton, Geophysical Monograph Series 147, AGU, Washington DC, pp 143-156.
  54. Barreiro, M., 2003: Understanding seasonal climate predictability in the tropical Atlantic sector. PhD Dissertation. Department of Oceanography, Texas A&M University.
  55. Barreiro M., P. Chang, R. Saravanan, 2002: Variability of the South Atlantic Convergence Zone as simulated by an atmospheric general circulation model. J. Climate, 15, 745-763.
  56. Barreiro M., G. Pisciottano, 2000: Barotropic instability, tropical heating and the southern hemisphere intraseasonal variability. Rev. Bras. Meteorolog., 15, No.2, 45-56.
    57.   

    Global climate variability and change

  57. Perez-Fernandez I, M. Barreiro, 2023: How well do forecast models represent observed long-lived Rossby wave packets during southern hemisphere summer? Atmos. Sci. Lett. https://doi.org/10.1002/asl.1175.
  58. Silini R., G. Tirabassi, M. Barreiro , L. Ferranti, C. Masoller, 2022: Assessing causal dependencies in climatic indices. Climate Dynamics doi:10.1007/s00382-022-06562-0.
  59. Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S.McGregor,S.Min,O.Morgenstern,andY.Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte,V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L.Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews,T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552
  60. Collins M, K. Ashok, M. Barreiro , MK. Roxy, SM Kang, T. Frölicher, G. Wang, RG. Tedeschi RG, 2021: Editorial: New techniques for improving Climate Models, Predictions and Projections. Front. Clim. 3:811205. doi: 10.3389/fclim.2021.811205.
  61. Bock L., A. Lauer, M. Schlund, M. Barreiro, N. Bellouin, C. Jones, G. A. Meehl, V. Predoi, M. J. Roberts, V. Eyring, 2020: Quantifying progress across differente CMIP phases with ESMValTool. JGR Atmospheres 125.
  62. Collins M, M. Barreiro , Frölicher T, Kang SM, Ashok K, Roxy MK, Singh D, Tedeschi RG, Wang G, Wilcox L and Wu B, 2020: Frontiers in Climate Predictions and Projections. Front. Clim. 2:571245. doi: 10.3389/fclim.2020.571245.
  63. Zappala D.A., M. Barreiro , C. Masoller, 2020: Mapping atmospheric waves and unveiling phase coherent structures in a global surface air temperature reanalysis dataset. Chaos 30, 011103.
  64. Zappala D., M. Barreiro , C. Masoller, 2019: Uncovering temporal regularity in atmospheric dynamics through Hilbert phase analysis. Chaos, 29, doi:10.1063/1.5091817.
  65. Dijkstra, H., E. Hernandez-Garcia, C. Masoller, M. Barreiro, 2019: Networks in Climate. Cambridge: Cambridge University Press, doi:10.1017/9781316275757.
  66. Zappala D., M. Barreiro , C. Masoller, 2018: Quantifying changes in spatial patterns of surface air temperature dynamics over several decades Earth System Dynamics, 9, 383-391.
  67. Talento S., M. Barreiro, 2018: Sensitivity of the tropical climate to an interhemispheric thermal gradient: the role of tropical ocean dynamics. Earth System Dynamics, 9, 285-297.
  68. Collins M., S. Minobe, M. Barreiro, S. Bordoni, Y. Kaspi, A. Kuwano-Yoshida, N. Keenlyside, E. Manzini, C. H. O'Reilly, R. Sutton, S.-p. Xie, O. Zolina, 2018: Challenges and opportunities for improved understanding of regional climate dynamics. Nature Climate Change 8, 101-108. .
  69. Deza J.I., G. Tirabassi, M. Barreiro, C. Masoller, 2017: Large-scale atmospheric phenomena under the lens of ordinal time-series analysis and information theory measures. In Advances in Nonlinear Geosciences pp 87-99.
  70. Talento S., Barreiro M., 2017: Control of the South Atlantic Convergence Zone by extratropical thermal forcing Climate Dynamics, DOI 10.1007/s00382-017-3647-4.
  71. Arizmendi F., M. Barreiro, C. Masoller, 2017: Identifying large-scale patterns of unpredictability and response to insolation in atmospheric data. Scientific Reports, doi:10.1038/srep45676.
  72. Zappala D., M. Barreiro , C. Masoller, 2016: Global Atmospheric Dynamics Investigated by Using Hilbert Frequency Analysis. Entropy, 18(11), 408; doi: 10.3390/e18110408 .
  73. Lecci R., S. Masina, A. Cherchi, M. Barreiro , 2016: A coupled model study on the Atlantic Meridional Overturning Circulation under extreme atmospheric CO2 conditions, Annals of Geophysics, 59, 2, P0215.
  74. Talento S., M. Barreiro, 2015: Simulated sensitivity of the tropical climate to extratropical thermal forcing: Tropical SSTs and African land surface Clim. Dyn., doi:10.1007/s00382-015-2890-9
  75. Deza I., M. Barreiro, C. Masoller, 2015: Assessing the direction of climate interactions by means of complex networks and information theoretic tools Chaos, 25, 033105, doi:10.1063/1.4914101
  76. Arizmendi, F., A. Marti, M. Barreiro, 2014: Evolution of atmospheric connectivity in the 20th century Nonlinear Proc. Geophys., 21,825-839.
  77. Deza I., C. Masoller, M. Barreiro, 2014: Distinguishing the effects of internal and forced atmospheric variability in climate networks Nonlinear Proc. Geophys., 21, 617-631.
  78. Deza I., M. Barreiro, C. Masoller, 2013: Inferring interdependencies in climate networks constructed at inter-annual, intra-season and longer time scales European Physical Journal ST, 222, 511-523.
  79. Barreiro, M., A. Cherchi, S. Masina, 2011: Climate sensitivity to changes in ocean heat transport J. Climate, 24, 5015-5030, doi: 10.1175/JCLI-D-10-05029.1.
  80. Barreiro, M., A. Marti, C. Masoller, 2011: Inferring long memory processes in the climate network via ordinal pattern analysis, Chaos 21, 013101, doi:10.1063/1.3545273
  81. Barreiro, M., G. Philander, 2008: Response of the tropical Pacific to changes in the extratropical clouds. Clim. Dyn., 31, 713-729.
  82. Barreiro M., A. Fedorov, R. Pacanowski, S.G. Philander, 2008: Abrupt Climate Changes: How freshening of the Northern Atlantic affects the Thermohaline and Wind-driven oceanic circulations. Annu. Rev. Earth Planet. Sci., 36, 33-58.
  83. Fedorov A., M. Barreiro, G. Boccaletti, R. Pacanowski, G. Philander, 2007: The freshening of surface waters in high latitudes: Effects on the thermohaline and wind-driven circulations. J. Phys. Oceanogr., 37, 896-907.
  84. A. Gnanadesikan, K. W. Dixon, S. M. Griffies, V. Balaji, M. Barreiro et al., 2006: GFDL's CM2 global coupled climate models-Part 2: The baseline ocean simulation. J. Climate, 19(5), 675-697.
    85.   

    Paleoclimate

  85. Perez, L., M. Barreiro , I. Etchevers, C. Crisci, F. Garcia-Rodriguez, 2021: Centennial hydroclimatic and anthropogenic processes of South East South America modulate interannual and decadal river discharge. Sci. Tot. Environment, 781.
  86. Fedorov A., P.S. Dekens, M. McCarthy, A.C. Ravelo, P.B. deMenocal, M. Barreiro, R. Pacanowski, S. G. Philander, 2006: The Pliocene paradox (Mechanisms for a permanent El Niño). Science, 312, 1485-1489.
  87. Barreiro, M., G. Philander, R. Pacanowski, A. Fedorov, 2005: Simulations of warm tropical conditions with application to middle Pliocene atmospheres. Clim. Dyn., 4, 349-365.