Atmospheric environments associated with tornadoes in southern Brazil and neighboring areas as compared to other modes of convective hazards
Abstract Mean synoptic-scale conditions accompanying convective storms that produce hazardous weather phenomena in southern Brazil (SB) and neighboring areas are investigated. Emphasis is placed on discriminating between conditions conducive to tornadoes (TORN) and those to heavy rainfall (RAIN) and...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lopes, Murilo M. [verfasserIn] Nascimento, Ernani L. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Climate dynamics - Springer Berlin Heidelberg, 1986, 62(2024), 5 vom: 29. Jan., Seite 3641-3667 |
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| Übergeordnetes Werk: |
volume:62 ; year:2024 ; number:5 ; day:29 ; month:01 ; pages:3641-3667 |
| Links: |
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| DOI / URN: |
10.1007/s00382-023-07089-8 |
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| Katalog-ID: |
SPR056065604 |
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| 520 | |a Abstract Mean synoptic-scale conditions accompanying convective storms that produce hazardous weather phenomena in southern Brazil (SB) and neighboring areas are investigated. Emphasis is placed on discriminating between conditions conducive to tornadoes (TORN) and those to heavy rainfall (RAIN) and non-tornadic wind gusts (GUST). For this purpose, an analysis of the meteorological conditions associated with 40 events from each severe weather category is conducted using data from CFSR/CFSv2 reanalysis. Data are sampled for times closest to the severe weather event in a 30$$^{\circ }\times 30^{\circ }$$ adaptive latitude-longitude domain centered on each event location. Average charts are obtained for the synoptic fields and atmospheric parameters, and mean tropospheric profiles are compared among the distinct hazards. Overall, the role played by a surface low pressure system that extends to SB is highlighted, conditioning the environment to convective storms. This system favors low-level northwesterly moist flow and surface convergence over the center of the domain. Subtle differences are found between the TORN and GUST composites, with the former exhibiting weaker baroclinic forcing but stronger vertical wind shear in the lower troposphere. Distinctions between TORN and RAIN are more pronounced, with TORN exhibiting more intense horizontal pressure gradients, surface-based CAPE, and vertical wind shear. The average wind profile for TORN exhibited the most elongated and curved hodograph at low levels. Convective parameters showed poor discrimination between TORN and GUST, while performing better in discriminating TORN from RAIN, especially the shear parameters computed along the effective inflow layer of the storms. | ||
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10.1007/s00382-023-07089-8 doi (DE-627)SPR056065604 (SPR)s00382-023-07089-8-e DE-627 ger DE-627 rakwb eng 550 VZ 38.80 bkl Lopes, Murilo M. verfasserin (orcid)0000-0002-8862-156X aut Atmospheric environments associated with tornadoes in southern Brazil and neighboring areas as compared to other modes of convective hazards 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Mean synoptic-scale conditions accompanying convective storms that produce hazardous weather phenomena in southern Brazil (SB) and neighboring areas are investigated. Emphasis is placed on discriminating between conditions conducive to tornadoes (TORN) and those to heavy rainfall (RAIN) and non-tornadic wind gusts (GUST). For this purpose, an analysis of the meteorological conditions associated with 40 events from each severe weather category is conducted using data from CFSR/CFSv2 reanalysis. Data are sampled for times closest to the severe weather event in a 30$$^{\circ }\times 30^{\circ }$$ adaptive latitude-longitude domain centered on each event location. Average charts are obtained for the synoptic fields and atmospheric parameters, and mean tropospheric profiles are compared among the distinct hazards. Overall, the role played by a surface low pressure system that extends to SB is highlighted, conditioning the environment to convective storms. This system favors low-level northwesterly moist flow and surface convergence over the center of the domain. Subtle differences are found between the TORN and GUST composites, with the former exhibiting weaker baroclinic forcing but stronger vertical wind shear in the lower troposphere. Distinctions between TORN and RAIN are more pronounced, with TORN exhibiting more intense horizontal pressure gradients, surface-based CAPE, and vertical wind shear. The average wind profile for TORN exhibited the most elongated and curved hodograph at low levels. Convective parameters showed poor discrimination between TORN and GUST, while performing better in discriminating TORN from RAIN, especially the shear parameters computed along the effective inflow layer of the storms. Severe convective storms (dpeaa)DE-He213 Tornadoes (dpeaa)DE-He213 Convective rainfall (dpeaa)DE-He213 Severe wind gusts (dpeaa)DE-He213 Synoptic climatology (dpeaa)DE-He213 Nascimento, Ernani L. verfasserin aut Enthalten in Climate dynamics Springer Berlin Heidelberg, 1986 62(2024), 5 vom: 29. Jan., Seite 3641-3667 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:62 year:2024 number:5 day:29 month:01 pages:3641-3667 https://dx.doi.org/10.1007/s00382-023-07089-8 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-GGO GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 VZ AR 62 2024 5 29 01 3641-3667 |
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10.1007/s00382-023-07089-8 doi (DE-627)SPR056065604 (SPR)s00382-023-07089-8-e DE-627 ger DE-627 rakwb eng 550 VZ 38.80 bkl Lopes, Murilo M. verfasserin (orcid)0000-0002-8862-156X aut Atmospheric environments associated with tornadoes in southern Brazil and neighboring areas as compared to other modes of convective hazards 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Mean synoptic-scale conditions accompanying convective storms that produce hazardous weather phenomena in southern Brazil (SB) and neighboring areas are investigated. Emphasis is placed on discriminating between conditions conducive to tornadoes (TORN) and those to heavy rainfall (RAIN) and non-tornadic wind gusts (GUST). For this purpose, an analysis of the meteorological conditions associated with 40 events from each severe weather category is conducted using data from CFSR/CFSv2 reanalysis. Data are sampled for times closest to the severe weather event in a 30$$^{\circ }\times 30^{\circ }$$ adaptive latitude-longitude domain centered on each event location. Average charts are obtained for the synoptic fields and atmospheric parameters, and mean tropospheric profiles are compared among the distinct hazards. Overall, the role played by a surface low pressure system that extends to SB is highlighted, conditioning the environment to convective storms. This system favors low-level northwesterly moist flow and surface convergence over the center of the domain. Subtle differences are found between the TORN and GUST composites, with the former exhibiting weaker baroclinic forcing but stronger vertical wind shear in the lower troposphere. Distinctions between TORN and RAIN are more pronounced, with TORN exhibiting more intense horizontal pressure gradients, surface-based CAPE, and vertical wind shear. The average wind profile for TORN exhibited the most elongated and curved hodograph at low levels. Convective parameters showed poor discrimination between TORN and GUST, while performing better in discriminating TORN from RAIN, especially the shear parameters computed along the effective inflow layer of the storms. Severe convective storms (dpeaa)DE-He213 Tornadoes (dpeaa)DE-He213 Convective rainfall (dpeaa)DE-He213 Severe wind gusts (dpeaa)DE-He213 Synoptic climatology (dpeaa)DE-He213 Nascimento, Ernani L. verfasserin aut Enthalten in Climate dynamics Springer Berlin Heidelberg, 1986 62(2024), 5 vom: 29. Jan., Seite 3641-3667 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:62 year:2024 number:5 day:29 month:01 pages:3641-3667 https://dx.doi.org/10.1007/s00382-023-07089-8 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-GGO GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 VZ AR 62 2024 5 29 01 3641-3667 |
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10.1007/s00382-023-07089-8 doi (DE-627)SPR056065604 (SPR)s00382-023-07089-8-e DE-627 ger DE-627 rakwb eng 550 VZ 38.80 bkl Lopes, Murilo M. verfasserin (orcid)0000-0002-8862-156X aut Atmospheric environments associated with tornadoes in southern Brazil and neighboring areas as compared to other modes of convective hazards 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Mean synoptic-scale conditions accompanying convective storms that produce hazardous weather phenomena in southern Brazil (SB) and neighboring areas are investigated. Emphasis is placed on discriminating between conditions conducive to tornadoes (TORN) and those to heavy rainfall (RAIN) and non-tornadic wind gusts (GUST). For this purpose, an analysis of the meteorological conditions associated with 40 events from each severe weather category is conducted using data from CFSR/CFSv2 reanalysis. Data are sampled for times closest to the severe weather event in a 30$$^{\circ }\times 30^{\circ }$$ adaptive latitude-longitude domain centered on each event location. Average charts are obtained for the synoptic fields and atmospheric parameters, and mean tropospheric profiles are compared among the distinct hazards. Overall, the role played by a surface low pressure system that extends to SB is highlighted, conditioning the environment to convective storms. This system favors low-level northwesterly moist flow and surface convergence over the center of the domain. Subtle differences are found between the TORN and GUST composites, with the former exhibiting weaker baroclinic forcing but stronger vertical wind shear in the lower troposphere. Distinctions between TORN and RAIN are more pronounced, with TORN exhibiting more intense horizontal pressure gradients, surface-based CAPE, and vertical wind shear. The average wind profile for TORN exhibited the most elongated and curved hodograph at low levels. Convective parameters showed poor discrimination between TORN and GUST, while performing better in discriminating TORN from RAIN, especially the shear parameters computed along the effective inflow layer of the storms. Severe convective storms (dpeaa)DE-He213 Tornadoes (dpeaa)DE-He213 Convective rainfall (dpeaa)DE-He213 Severe wind gusts (dpeaa)DE-He213 Synoptic climatology (dpeaa)DE-He213 Nascimento, Ernani L. verfasserin aut Enthalten in Climate dynamics Springer Berlin Heidelberg, 1986 62(2024), 5 vom: 29. Jan., Seite 3641-3667 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:62 year:2024 number:5 day:29 month:01 pages:3641-3667 https://dx.doi.org/10.1007/s00382-023-07089-8 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-GGO GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 VZ AR 62 2024 5 29 01 3641-3667 |
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10.1007/s00382-023-07089-8 doi (DE-627)SPR056065604 (SPR)s00382-023-07089-8-e DE-627 ger DE-627 rakwb eng 550 VZ 38.80 bkl Lopes, Murilo M. verfasserin (orcid)0000-0002-8862-156X aut Atmospheric environments associated with tornadoes in southern Brazil and neighboring areas as compared to other modes of convective hazards 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Mean synoptic-scale conditions accompanying convective storms that produce hazardous weather phenomena in southern Brazil (SB) and neighboring areas are investigated. Emphasis is placed on discriminating between conditions conducive to tornadoes (TORN) and those to heavy rainfall (RAIN) and non-tornadic wind gusts (GUST). For this purpose, an analysis of the meteorological conditions associated with 40 events from each severe weather category is conducted using data from CFSR/CFSv2 reanalysis. Data are sampled for times closest to the severe weather event in a 30$$^{\circ }\times 30^{\circ }$$ adaptive latitude-longitude domain centered on each event location. Average charts are obtained for the synoptic fields and atmospheric parameters, and mean tropospheric profiles are compared among the distinct hazards. Overall, the role played by a surface low pressure system that extends to SB is highlighted, conditioning the environment to convective storms. This system favors low-level northwesterly moist flow and surface convergence over the center of the domain. Subtle differences are found between the TORN and GUST composites, with the former exhibiting weaker baroclinic forcing but stronger vertical wind shear in the lower troposphere. Distinctions between TORN and RAIN are more pronounced, with TORN exhibiting more intense horizontal pressure gradients, surface-based CAPE, and vertical wind shear. The average wind profile for TORN exhibited the most elongated and curved hodograph at low levels. Convective parameters showed poor discrimination between TORN and GUST, while performing better in discriminating TORN from RAIN, especially the shear parameters computed along the effective inflow layer of the storms. Severe convective storms (dpeaa)DE-He213 Tornadoes (dpeaa)DE-He213 Convective rainfall (dpeaa)DE-He213 Severe wind gusts (dpeaa)DE-He213 Synoptic climatology (dpeaa)DE-He213 Nascimento, Ernani L. verfasserin aut Enthalten in Climate dynamics Springer Berlin Heidelberg, 1986 62(2024), 5 vom: 29. Jan., Seite 3641-3667 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:62 year:2024 number:5 day:29 month:01 pages:3641-3667 https://dx.doi.org/10.1007/s00382-023-07089-8 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-GGO GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 VZ AR 62 2024 5 29 01 3641-3667 |
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10.1007/s00382-023-07089-8 doi (DE-627)SPR056065604 (SPR)s00382-023-07089-8-e DE-627 ger DE-627 rakwb eng 550 VZ 38.80 bkl Lopes, Murilo M. verfasserin (orcid)0000-0002-8862-156X aut Atmospheric environments associated with tornadoes in southern Brazil and neighboring areas as compared to other modes of convective hazards 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Mean synoptic-scale conditions accompanying convective storms that produce hazardous weather phenomena in southern Brazil (SB) and neighboring areas are investigated. Emphasis is placed on discriminating between conditions conducive to tornadoes (TORN) and those to heavy rainfall (RAIN) and non-tornadic wind gusts (GUST). For this purpose, an analysis of the meteorological conditions associated with 40 events from each severe weather category is conducted using data from CFSR/CFSv2 reanalysis. Data are sampled for times closest to the severe weather event in a 30$$^{\circ }\times 30^{\circ }$$ adaptive latitude-longitude domain centered on each event location. Average charts are obtained for the synoptic fields and atmospheric parameters, and mean tropospheric profiles are compared among the distinct hazards. Overall, the role played by a surface low pressure system that extends to SB is highlighted, conditioning the environment to convective storms. This system favors low-level northwesterly moist flow and surface convergence over the center of the domain. Subtle differences are found between the TORN and GUST composites, with the former exhibiting weaker baroclinic forcing but stronger vertical wind shear in the lower troposphere. Distinctions between TORN and RAIN are more pronounced, with TORN exhibiting more intense horizontal pressure gradients, surface-based CAPE, and vertical wind shear. The average wind profile for TORN exhibited the most elongated and curved hodograph at low levels. Convective parameters showed poor discrimination between TORN and GUST, while performing better in discriminating TORN from RAIN, especially the shear parameters computed along the effective inflow layer of the storms. Severe convective storms (dpeaa)DE-He213 Tornadoes (dpeaa)DE-He213 Convective rainfall (dpeaa)DE-He213 Severe wind gusts (dpeaa)DE-He213 Synoptic climatology (dpeaa)DE-He213 Nascimento, Ernani L. verfasserin aut Enthalten in Climate dynamics Springer Berlin Heidelberg, 1986 62(2024), 5 vom: 29. Jan., Seite 3641-3667 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:62 year:2024 number:5 day:29 month:01 pages:3641-3667 https://dx.doi.org/10.1007/s00382-023-07089-8 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-GGO GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 VZ AR 62 2024 5 29 01 3641-3667 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Mean synoptic-scale conditions accompanying convective storms that produce hazardous weather phenomena in southern Brazil (SB) and neighboring areas are investigated. Emphasis is placed on discriminating between conditions conducive to tornadoes (TORN) and those to heavy rainfall (RAIN) and non-tornadic wind gusts (GUST). For this purpose, an analysis of the meteorological conditions associated with 40 events from each severe weather category is conducted using data from CFSR/CFSv2 reanalysis. Data are sampled for times closest to the severe weather event in a 30$$^{\circ }\times 30^{\circ }$$ adaptive latitude-longitude domain centered on each event location. Average charts are obtained for the synoptic fields and atmospheric parameters, and mean tropospheric profiles are compared among the distinct hazards. Overall, the role played by a surface low pressure system that extends to SB is highlighted, conditioning the environment to convective storms. This system favors low-level northwesterly moist flow and surface convergence over the center of the domain. Subtle differences are found between the TORN and GUST composites, with the former exhibiting weaker baroclinic forcing but stronger vertical wind shear in the lower troposphere. Distinctions between TORN and RAIN are more pronounced, with TORN exhibiting more intense horizontal pressure gradients, surface-based CAPE, and vertical wind shear. The average wind profile for TORN exhibited the most elongated and curved hodograph at low levels. 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Lopes, Murilo M. |
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Lopes, Murilo M. ddc 550 bkl 38.80 misc Severe convective storms misc Tornadoes misc Convective rainfall misc Severe wind gusts misc Synoptic climatology Atmospheric environments associated with tornadoes in southern Brazil and neighboring areas as compared to other modes of convective hazards |
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550 VZ 38.80 bkl Atmospheric environments associated with tornadoes in southern Brazil and neighboring areas as compared to other modes of convective hazards Severe convective storms (dpeaa)DE-He213 Tornadoes (dpeaa)DE-He213 Convective rainfall (dpeaa)DE-He213 Severe wind gusts (dpeaa)DE-He213 Synoptic climatology (dpeaa)DE-He213 |
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ddc 550 bkl 38.80 misc Severe convective storms misc Tornadoes misc Convective rainfall misc Severe wind gusts misc Synoptic climatology |
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ddc 550 bkl 38.80 misc Severe convective storms misc Tornadoes misc Convective rainfall misc Severe wind gusts misc Synoptic climatology |
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Atmospheric environments associated with tornadoes in southern Brazil and neighboring areas as compared to other modes of convective hazards |
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Atmospheric environments associated with tornadoes in southern Brazil and neighboring areas as compared to other modes of convective hazards |
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atmospheric environments associated with tornadoes in southern brazil and neighboring areas as compared to other modes of convective hazards |
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Atmospheric environments associated with tornadoes in southern Brazil and neighboring areas as compared to other modes of convective hazards |
| abstract |
Abstract Mean synoptic-scale conditions accompanying convective storms that produce hazardous weather phenomena in southern Brazil (SB) and neighboring areas are investigated. Emphasis is placed on discriminating between conditions conducive to tornadoes (TORN) and those to heavy rainfall (RAIN) and non-tornadic wind gusts (GUST). For this purpose, an analysis of the meteorological conditions associated with 40 events from each severe weather category is conducted using data from CFSR/CFSv2 reanalysis. Data are sampled for times closest to the severe weather event in a 30$$^{\circ }\times 30^{\circ }$$ adaptive latitude-longitude domain centered on each event location. Average charts are obtained for the synoptic fields and atmospheric parameters, and mean tropospheric profiles are compared among the distinct hazards. Overall, the role played by a surface low pressure system that extends to SB is highlighted, conditioning the environment to convective storms. This system favors low-level northwesterly moist flow and surface convergence over the center of the domain. Subtle differences are found between the TORN and GUST composites, with the former exhibiting weaker baroclinic forcing but stronger vertical wind shear in the lower troposphere. Distinctions between TORN and RAIN are more pronounced, with TORN exhibiting more intense horizontal pressure gradients, surface-based CAPE, and vertical wind shear. The average wind profile for TORN exhibited the most elongated and curved hodograph at low levels. Convective parameters showed poor discrimination between TORN and GUST, while performing better in discriminating TORN from RAIN, especially the shear parameters computed along the effective inflow layer of the storms. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract Mean synoptic-scale conditions accompanying convective storms that produce hazardous weather phenomena in southern Brazil (SB) and neighboring areas are investigated. Emphasis is placed on discriminating between conditions conducive to tornadoes (TORN) and those to heavy rainfall (RAIN) and non-tornadic wind gusts (GUST). For this purpose, an analysis of the meteorological conditions associated with 40 events from each severe weather category is conducted using data from CFSR/CFSv2 reanalysis. Data are sampled for times closest to the severe weather event in a 30$$^{\circ }\times 30^{\circ }$$ adaptive latitude-longitude domain centered on each event location. Average charts are obtained for the synoptic fields and atmospheric parameters, and mean tropospheric profiles are compared among the distinct hazards. Overall, the role played by a surface low pressure system that extends to SB is highlighted, conditioning the environment to convective storms. This system favors low-level northwesterly moist flow and surface convergence over the center of the domain. Subtle differences are found between the TORN and GUST composites, with the former exhibiting weaker baroclinic forcing but stronger vertical wind shear in the lower troposphere. Distinctions between TORN and RAIN are more pronounced, with TORN exhibiting more intense horizontal pressure gradients, surface-based CAPE, and vertical wind shear. The average wind profile for TORN exhibited the most elongated and curved hodograph at low levels. Convective parameters showed poor discrimination between TORN and GUST, while performing better in discriminating TORN from RAIN, especially the shear parameters computed along the effective inflow layer of the storms. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract Mean synoptic-scale conditions accompanying convective storms that produce hazardous weather phenomena in southern Brazil (SB) and neighboring areas are investigated. Emphasis is placed on discriminating between conditions conducive to tornadoes (TORN) and those to heavy rainfall (RAIN) and non-tornadic wind gusts (GUST). For this purpose, an analysis of the meteorological conditions associated with 40 events from each severe weather category is conducted using data from CFSR/CFSv2 reanalysis. Data are sampled for times closest to the severe weather event in a 30$$^{\circ }\times 30^{\circ }$$ adaptive latitude-longitude domain centered on each event location. Average charts are obtained for the synoptic fields and atmospheric parameters, and mean tropospheric profiles are compared among the distinct hazards. Overall, the role played by a surface low pressure system that extends to SB is highlighted, conditioning the environment to convective storms. This system favors low-level northwesterly moist flow and surface convergence over the center of the domain. Subtle differences are found between the TORN and GUST composites, with the former exhibiting weaker baroclinic forcing but stronger vertical wind shear in the lower troposphere. Distinctions between TORN and RAIN are more pronounced, with TORN exhibiting more intense horizontal pressure gradients, surface-based CAPE, and vertical wind shear. The average wind profile for TORN exhibited the most elongated and curved hodograph at low levels. Convective parameters showed poor discrimination between TORN and GUST, while performing better in discriminating TORN from RAIN, especially the shear parameters computed along the effective inflow layer of the storms. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| container_issue |
5 |
| title_short |
Atmospheric environments associated with tornadoes in southern Brazil and neighboring areas as compared to other modes of convective hazards |
| url |
https://dx.doi.org/10.1007/s00382-023-07089-8 |
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Nascimento, Ernani L. |
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Nascimento, Ernani L. |
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| doi_str |
10.1007/s00382-023-07089-8 |
| up_date |
2024-07-03T19:58:07.983Z |
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| score |
7.401355 |