Application of Radar, Lightning Location, and Numerical Simulation Data to Study the Relationship between Total Lightning Activity and Severe Weather Events
Abstract The results of numerical experiments with the three-dimensional nonstationary bin model of convective clouds with a detailed consideration of hydrothermodynamic, microphysical, and electrical processes are presented. The structure of the cloud is investigated at different time moments for c...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shapovalov, A. V. [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
monitoring of total lightning activity |
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| Anmerkung: |
© Pleiades Publishing, Ltd. 2022 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Russian meteorology and hydrology - Pleiades Publishing, 1993, 47(2022), 8 vom: Aug., Seite 613-619 |
|---|---|
| Übergeordnetes Werk: |
volume:47 ; year:2022 ; number:8 ; month:08 ; pages:613-619 |
| Links: |
|---|
| DOI / URN: |
10.3103/S1068373922080076 |
|---|
| Katalog-ID: |
OLC2132640505 |
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| 520 | |a Abstract The results of numerical experiments with the three-dimensional nonstationary bin model of convective clouds with a detailed consideration of hydrothermodynamic, microphysical, and electrical processes are presented. The structure of the cloud is investigated at different time moments for comparison with radar and lightning location observations in the North Caucasus. The possibility is analyzed of improving the quality of processing and interpretation of simulation and observation data on deep convective (with thunderstorm and hail) clouds using the developed three-dimensional visualization software. | ||
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10.3103/S1068373922080076 doi (DE-627)OLC2132640505 (DE-He213)S1068373922080076-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Shapovalov, A. V. verfasserin aut Application of Radar, Lightning Location, and Numerical Simulation Data to Study the Relationship between Total Lightning Activity and Severe Weather Events 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Pleiades Publishing, Ltd. 2022 Abstract The results of numerical experiments with the three-dimensional nonstationary bin model of convective clouds with a detailed consideration of hydrothermodynamic, microphysical, and electrical processes are presented. The structure of the cloud is investigated at different time moments for comparison with radar and lightning location observations in the North Caucasus. The possibility is analyzed of improving the quality of processing and interpretation of simulation and observation data on deep convective (with thunderstorm and hail) clouds using the developed three-dimensional visualization software. monitoring of total lightning activity lightning location convective cloud numerical modeling electrical characteristics of a cloud cloud microstructure weather radar weather modification Shapovalov, V. A. aut Stasenko, V. N. aut Lesev, V. N. aut Enthalten in Russian meteorology and hydrology Pleiades Publishing, 1993 47(2022), 8 vom: Aug., Seite 613-619 (DE-627)181990490 (DE-600)1180563-8 (DE-576)03887959X 1068-3739 nnns volume:47 year:2022 number:8 month:08 pages:613-619 https://doi.org/10.3103/S1068373922080076 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-OEU SSG-OPC-GGO AR 47 2022 8 08 613-619 |
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10.3103/S1068373922080076 doi (DE-627)OLC2132640505 (DE-He213)S1068373922080076-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Shapovalov, A. V. verfasserin aut Application of Radar, Lightning Location, and Numerical Simulation Data to Study the Relationship between Total Lightning Activity and Severe Weather Events 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Pleiades Publishing, Ltd. 2022 Abstract The results of numerical experiments with the three-dimensional nonstationary bin model of convective clouds with a detailed consideration of hydrothermodynamic, microphysical, and electrical processes are presented. The structure of the cloud is investigated at different time moments for comparison with radar and lightning location observations in the North Caucasus. The possibility is analyzed of improving the quality of processing and interpretation of simulation and observation data on deep convective (with thunderstorm and hail) clouds using the developed three-dimensional visualization software. monitoring of total lightning activity lightning location convective cloud numerical modeling electrical characteristics of a cloud cloud microstructure weather radar weather modification Shapovalov, V. A. aut Stasenko, V. N. aut Lesev, V. N. aut Enthalten in Russian meteorology and hydrology Pleiades Publishing, 1993 47(2022), 8 vom: Aug., Seite 613-619 (DE-627)181990490 (DE-600)1180563-8 (DE-576)03887959X 1068-3739 nnns volume:47 year:2022 number:8 month:08 pages:613-619 https://doi.org/10.3103/S1068373922080076 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-OEU SSG-OPC-GGO AR 47 2022 8 08 613-619 |
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10.3103/S1068373922080076 doi (DE-627)OLC2132640505 (DE-He213)S1068373922080076-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Shapovalov, A. V. verfasserin aut Application of Radar, Lightning Location, and Numerical Simulation Data to Study the Relationship between Total Lightning Activity and Severe Weather Events 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Pleiades Publishing, Ltd. 2022 Abstract The results of numerical experiments with the three-dimensional nonstationary bin model of convective clouds with a detailed consideration of hydrothermodynamic, microphysical, and electrical processes are presented. The structure of the cloud is investigated at different time moments for comparison with radar and lightning location observations in the North Caucasus. The possibility is analyzed of improving the quality of processing and interpretation of simulation and observation data on deep convective (with thunderstorm and hail) clouds using the developed three-dimensional visualization software. monitoring of total lightning activity lightning location convective cloud numerical modeling electrical characteristics of a cloud cloud microstructure weather radar weather modification Shapovalov, V. A. aut Stasenko, V. N. aut Lesev, V. N. aut Enthalten in Russian meteorology and hydrology Pleiades Publishing, 1993 47(2022), 8 vom: Aug., Seite 613-619 (DE-627)181990490 (DE-600)1180563-8 (DE-576)03887959X 1068-3739 nnns volume:47 year:2022 number:8 month:08 pages:613-619 https://doi.org/10.3103/S1068373922080076 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OLC-OEU SSG-OPC-GGO AR 47 2022 8 08 613-619 |
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Abstract The results of numerical experiments with the three-dimensional nonstationary bin model of convective clouds with a detailed consideration of hydrothermodynamic, microphysical, and electrical processes are presented. The structure of the cloud is investigated at different time moments for comparison with radar and lightning location observations in the North Caucasus. The possibility is analyzed of improving the quality of processing and interpretation of simulation and observation data on deep convective (with thunderstorm and hail) clouds using the developed three-dimensional visualization software. © Pleiades Publishing, Ltd. 2022 |
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Abstract The results of numerical experiments with the three-dimensional nonstationary bin model of convective clouds with a detailed consideration of hydrothermodynamic, microphysical, and electrical processes are presented. The structure of the cloud is investigated at different time moments for comparison with radar and lightning location observations in the North Caucasus. The possibility is analyzed of improving the quality of processing and interpretation of simulation and observation data on deep convective (with thunderstorm and hail) clouds using the developed three-dimensional visualization software. © Pleiades Publishing, Ltd. 2022 |
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Abstract The results of numerical experiments with the three-dimensional nonstationary bin model of convective clouds with a detailed consideration of hydrothermodynamic, microphysical, and electrical processes are presented. The structure of the cloud is investigated at different time moments for comparison with radar and lightning location observations in the North Caucasus. The possibility is analyzed of improving the quality of processing and interpretation of simulation and observation data on deep convective (with thunderstorm and hail) clouds using the developed three-dimensional visualization software. © Pleiades Publishing, Ltd. 2022 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC2132640505</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230506084657.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230506s2022 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3103/S1068373922080076</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2132640505</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)S1068373922080076-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">14</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Shapovalov, A. V.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Application of Radar, Lightning Location, and Numerical Simulation Data to Study the Relationship between Total Lightning Activity and Severe Weather Events</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Pleiades Publishing, Ltd. 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The results of numerical experiments with the three-dimensional nonstationary bin model of convective clouds with a detailed consideration of hydrothermodynamic, microphysical, and electrical processes are presented. The structure of the cloud is investigated at different time moments for comparison with radar and lightning location observations in the North Caucasus. The possibility is analyzed of improving the quality of processing and interpretation of simulation and observation data on deep convective (with thunderstorm and hail) clouds using the developed three-dimensional visualization software.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">monitoring of total lightning activity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">lightning location</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">convective cloud</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">numerical modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">electrical characteristics of a cloud</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cloud microstructure</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">weather radar</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">weather modification</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shapovalov, V. 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N.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Russian meteorology and hydrology</subfield><subfield code="d">Pleiades Publishing, 1993</subfield><subfield code="g">47(2022), 8 vom: Aug., Seite 613-619</subfield><subfield code="w">(DE-627)181990490</subfield><subfield code="w">(DE-600)1180563-8</subfield><subfield code="w">(DE-576)03887959X</subfield><subfield code="x">1068-3739</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:47</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:8</subfield><subfield code="g">month:08</subfield><subfield code="g">pages:613-619</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.3103/S1068373922080076</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-OEU</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">47</subfield><subfield code="j">2022</subfield><subfield code="e">8</subfield><subfield code="c">08</subfield><subfield code="h">613-619</subfield></datafield></record></collection>
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