Squall lines and turbulent exchange at the Amazon forest-atmosphere interface
Squall lines (SLs) are convective phenomena frequently occurring in the tropical atmosphere and have been widely investigated by the scientific community. In this work, satellite images of the central Amazon region were used to identify the occurrence of SLs between 2014, considered as a typical yea...
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creator | Gonçalves, Marcos B. Dias-Júnior, Cleo Q. D’Oliveira, Flávio A. F. Cely-Toro, Ivan M. Cohen, Júlia C. P. Martins, Hardiney S. da Silva, Gilmar H. S. de Araújo, Alessandro C. Mortarini, Luca |
description | Squall lines (SLs) are convective phenomena frequently occurring in the tropical atmosphere and have been widely investigated by the scientific community. In this work, satellite images of the central Amazon region were used to identify the occurrence of SLs between 2014, considered as a typical year, and 2015, characterize by a strong El Nino. Subsequently, fast response data from the Amazon Tall Tower Observatory (ATTO) site were used to establish the effects of SLs on surface parameters and the differences between the typical and strong El Niño years. The objective of this study was to investigate whether there is an influence in El Niño years on the number of occurrences of SLs and consequently on the impact that these phenomena exert on the variables, such as: precipitation, temperature, relative humidity, radiation and turbulent fluxes calculated by the eddy covariance method. Average daily cycles of these variables were used for different seasons (dry and rainy) for both years. When SLs were detected, increasing in (i) precipitation rates; (ii) wind speed; (iii) relative humidity; and (2) decreasing in (i) air temperature; (ii) shortwave radiation; (iii) sensible and latent heat flux were observed. The CO
2
flux, on the other hand, reversed its sign during the presence of SLs, in both observed years. The influence of the El Niño phenomenon in the SLs formation and their impact on the meteorological quantities (turbulent fluxes and thermodynamics variables) measured just above the canopy top is discussed. |
doi_str_mv | 10.1007/s00703-024-01039-7 |
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2
flux, on the other hand, reversed its sign during the presence of SLs, in both observed years. The influence of the El Niño phenomenon in the SLs formation and their impact on the meteorological quantities (turbulent fluxes and thermodynamics variables) measured just above the canopy top is discussed.</description><identifier>ISSN: 0177-7971</identifier><identifier>EISSN: 1436-5065</identifier><identifier>DOI: 10.1007/s00703-024-01039-7</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Air temperature ; Aquatic Pollution ; Atmosphere ; Atmospheric Sciences ; Atmospheric turbulence ; Carbon dioxide ; Carbon dioxide flux ; Earth and Environmental Science ; Earth Sciences ; Eddy covariance ; Eddy flux ; El Nino ; El Nino phenomena ; Heat flux ; Heat transfer ; Humidity ; Latent heat ; Latent heat flux ; Math. Appl. in Environmental Science ; Meteorology ; Original Paper ; Parameter identification ; Precipitation ; Radiation ; Relative humidity ; Satellite imagery ; Sensible and latent heat ; Sensible and latent heat flux ; Short wave radiation ; Squall lines ; Squalls ; Terrestrial Pollution ; Thermodynamics ; Tropical atmosphere ; Turbulent fluxes ; Waste Water Technology ; Water Management ; Water Pollution Control ; Wind speed</subject><ispartof>Meteorology and atmospheric physics, 2024-10, Vol.136 (5), p.41, Article 41</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, 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.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c200t-4fdb95303aaa57aab42f29e6561cf800771b26318be73d6ab3cc379f9f1085073</cites><orcidid>0000-0003-4783-4689</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00703-024-01039-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00703-024-01039-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Gonçalves, Marcos B.</creatorcontrib><creatorcontrib>Dias-Júnior, Cleo Q.</creatorcontrib><creatorcontrib>D’Oliveira, Flávio A. F.</creatorcontrib><creatorcontrib>Cely-Toro, Ivan M.</creatorcontrib><creatorcontrib>Cohen, Júlia C. P.</creatorcontrib><creatorcontrib>Martins, Hardiney S.</creatorcontrib><creatorcontrib>da Silva, Gilmar H. S.</creatorcontrib><creatorcontrib>de Araújo, Alessandro C.</creatorcontrib><creatorcontrib>Mortarini, Luca</creatorcontrib><title>Squall lines and turbulent exchange at the Amazon forest-atmosphere interface</title><title>Meteorology and atmospheric physics</title><addtitle>Meteorol Atmos Phys</addtitle><description>Squall lines (SLs) are convective phenomena frequently occurring in the tropical atmosphere and have been widely investigated by the scientific community. In this work, satellite images of the central Amazon region were used to identify the occurrence of SLs between 2014, considered as a typical year, and 2015, characterize by a strong El Nino. Subsequently, fast response data from the Amazon Tall Tower Observatory (ATTO) site were used to establish the effects of SLs on surface parameters and the differences between the typical and strong El Niño years. The objective of this study was to investigate whether there is an influence in El Niño years on the number of occurrences of SLs and consequently on the impact that these phenomena exert on the variables, such as: precipitation, temperature, relative humidity, radiation and turbulent fluxes calculated by the eddy covariance method. Average daily cycles of these variables were used for different seasons (dry and rainy) for both years. When SLs were detected, increasing in (i) precipitation rates; (ii) wind speed; (iii) relative humidity; and (2) decreasing in (i) air temperature; (ii) shortwave radiation; (iii) sensible and latent heat flux were observed. The CO
2
flux, on the other hand, reversed its sign during the presence of SLs, in both observed years. The influence of the El Niño phenomenon in the SLs formation and their impact on the meteorological quantities (turbulent fluxes and thermodynamics variables) measured just above the canopy top is discussed.</description><subject>Air temperature</subject><subject>Aquatic Pollution</subject><subject>Atmosphere</subject><subject>Atmospheric Sciences</subject><subject>Atmospheric turbulence</subject><subject>Carbon dioxide</subject><subject>Carbon dioxide flux</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Eddy covariance</subject><subject>Eddy flux</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>Heat flux</subject><subject>Heat transfer</subject><subject>Humidity</subject><subject>Latent heat</subject><subject>Latent heat flux</subject><subject>Math. Appl. in Environmental Science</subject><subject>Meteorology</subject><subject>Original Paper</subject><subject>Parameter identification</subject><subject>Precipitation</subject><subject>Radiation</subject><subject>Relative humidity</subject><subject>Satellite imagery</subject><subject>Sensible and latent heat</subject><subject>Sensible and latent heat flux</subject><subject>Short wave radiation</subject><subject>Squall lines</subject><subject>Squalls</subject><subject>Terrestrial Pollution</subject><subject>Thermodynamics</subject><subject>Tropical atmosphere</subject><subject>Turbulent fluxes</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Wind speed</subject><issn>0177-7971</issn><issn>1436-5065</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LAzEQxYMoWKtfwFPAc3SSbJLusRT_QcWDeg6z28Rt2e62SRbUT2_qCt68zDAw7828HyGXHK45gLmJuYBkIAoGHGTJzBGZ8EJqpkCrYzIBbgwzpeGn5CzGDeRZCz4hTy_7AduWtuvORYrdiqYhVEPrukTdR91g9-4oJpoaR-db_Oo76vvgYmKYtn3cNS44uu6SCx5rd05OPLbRXfz2KXm7u31dPLDl8_3jYr5ktQBIrPCrqlQSJCIqg1gVwovSaaV57Wc5iuGV0JLPKmfkSmMl61qa0peew0yBkVNyNfruQr8f8jd20w-hyyet5KCUliK7T4kYt-rQxxict7uw3mL4tBzsAZsdsdmMzf5gswdrOYpiXs7hw5_1P6pvlHFvsw</recordid><startdate>20241001</startdate><enddate>20241001</enddate><creator>Gonçalves, Marcos B.</creator><creator>Dias-Júnior, Cleo Q.</creator><creator>D’Oliveira, Flávio A. 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Appl. in Environmental Science</topic><topic>Meteorology</topic><topic>Original Paper</topic><topic>Parameter identification</topic><topic>Precipitation</topic><topic>Radiation</topic><topic>Relative humidity</topic><topic>Satellite imagery</topic><topic>Sensible and latent heat</topic><topic>Sensible and latent heat flux</topic><topic>Short wave radiation</topic><topic>Squall lines</topic><topic>Squalls</topic><topic>Terrestrial Pollution</topic><topic>Thermodynamics</topic><topic>Tropical atmosphere</topic><topic>Turbulent fluxes</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gonçalves, Marcos B.</creatorcontrib><creatorcontrib>Dias-Júnior, Cleo Q.</creatorcontrib><creatorcontrib>D’Oliveira, Flávio A. F.</creatorcontrib><creatorcontrib>Cely-Toro, Ivan M.</creatorcontrib><creatorcontrib>Cohen, Júlia C. 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F.</au><au>Cely-Toro, Ivan M.</au><au>Cohen, Júlia C. P.</au><au>Martins, Hardiney S.</au><au>da Silva, Gilmar H. S.</au><au>de Araújo, Alessandro C.</au><au>Mortarini, Luca</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Squall lines and turbulent exchange at the Amazon forest-atmosphere interface</atitle><jtitle>Meteorology and atmospheric physics</jtitle><stitle>Meteorol Atmos Phys</stitle><date>2024-10-01</date><risdate>2024</risdate><volume>136</volume><issue>5</issue><spage>41</spage><pages>41-</pages><artnum>41</artnum><issn>0177-7971</issn><eissn>1436-5065</eissn><abstract>Squall lines (SLs) are convective phenomena frequently occurring in the tropical atmosphere and have been widely investigated by the scientific community. In this work, satellite images of the central Amazon region were used to identify the occurrence of SLs between 2014, considered as a typical year, and 2015, characterize by a strong El Nino. Subsequently, fast response data from the Amazon Tall Tower Observatory (ATTO) site were used to establish the effects of SLs on surface parameters and the differences between the typical and strong El Niño years. The objective of this study was to investigate whether there is an influence in El Niño years on the number of occurrences of SLs and consequently on the impact that these phenomena exert on the variables, such as: precipitation, temperature, relative humidity, radiation and turbulent fluxes calculated by the eddy covariance method. Average daily cycles of these variables were used for different seasons (dry and rainy) for both years. When SLs were detected, increasing in (i) precipitation rates; (ii) wind speed; (iii) relative humidity; and (2) decreasing in (i) air temperature; (ii) shortwave radiation; (iii) sensible and latent heat flux were observed. The CO
2
flux, on the other hand, reversed its sign during the presence of SLs, in both observed years. The influence of the El Niño phenomenon in the SLs formation and their impact on the meteorological quantities (turbulent fluxes and thermodynamics variables) measured just above the canopy top is discussed.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00703-024-01039-7</doi><orcidid>https://orcid.org/0000-0003-4783-4689</orcidid></addata></record> |
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subjects | Air temperature Aquatic Pollution Atmosphere Atmospheric Sciences Atmospheric turbulence Carbon dioxide Carbon dioxide flux Earth and Environmental Science Earth Sciences Eddy covariance Eddy flux El Nino El Nino phenomena Heat flux Heat transfer Humidity Latent heat Latent heat flux Math. Appl. in Environmental Science Meteorology Original Paper Parameter identification Precipitation Radiation Relative humidity Satellite imagery Sensible and latent heat Sensible and latent heat flux Short wave radiation Squall lines Squalls Terrestrial Pollution Thermodynamics Tropical atmosphere Turbulent fluxes Waste Water Technology Water Management Water Pollution Control Wind speed |
title | Squall lines and turbulent exchange at the Amazon forest-atmosphere interface |
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