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Recent Changes in the Atmospheric Circulation Patterns during the Dry-to-Wet Transition Season in South Tropical South America (1979-2020): Impacts on Precipitation and Fire Season

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  • Additional Information
    • Contributors:
      Institut des Géosciences de l’Environnement (IGE); Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ); Université Grenoble Alpes (UGA); Centre Européen de Recherche et d'Enseignement des Géosciences de l'Environnement (CEREGE); Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE); ANR-18-MPGA-0008,AMANECER,Connexion Amazone - Andes(2018)
    • Publication Information:
      HAL CCSD
      American Meteorological Society
    • Publication Date:
      2021
    • Collection:
      Université Grenoble Alpes: HAL
    • Abstract:
      International audience ; We analyze the characteristics of atmospheric variations over tropical South America using the pattern recognition framework of weather typing or atmospheric circulation patterns (CPs). During 1979-2020, nine CPs are defined in the region, using a k-means algorithm based on daily unfiltered 850-hPa winds over 108N-308S, 908-308W. CPs are primarily interpreted as stages of the annual cycle of the low-level circulation. We identified three ''winter'' CPs (CP7, CP8, and CP9), three ''summer'' CPs (CP3, CP4, and CP5), and three ''transitional'' CPs (CP1, CP2, and CP6). Significant longterm changes are detected during the dry-to-wet transition season (July-October) over southern tropical South America (STSA). One of the wintertime patterns (CP9) increases from 20% in the 1980s to 35% in the last decade while the ''transitional'' CP2 decreases from 13% to 7%. CP9 is characterized by enhancement of the South American low-level jet and increasing atmospheric subsidence over STSA. CP2 is characterized by southerly cold-air incursions and anomalous convective activity over STSA. The years characterized by high frequency of CP9 and low frequency of CP2 during the dry-to-wet transition season are associated with a delayed South American monsoon onset and anomalous dry conditions over STSA. Consistently, a higher frequency of CP9 intensifies the fire season over STSA (1999-2020). Over the Brazilian states of Maranhão, Tocantins, Goiás, and São Paulo, the seasonal frequency of CP9 explains around 35%-44% of the interannual variations of fire counts.
    • Relation:
      hal-03446949; https://hal.science/hal-03446949; https://hal.science/hal-03446949/document; https://hal.science/hal-03446949/file/1520-0442-JCLI-D-21-0303.1.pdf; IRD: fdi:010084281; WOS: 000752646200013
    • Accession Number:
      10.1175/JCLI-D-21-0303.1
    • Online Access:
      https://doi.org/10.1175/JCLI-D-21-0303.1
      https://hal.science/hal-03446949
      https://hal.science/hal-03446949/document
      https://hal.science/hal-03446949/file/1520-0442-JCLI-D-21-0303.1.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • Accession Number:
      edsbas.85892F02