Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS Model
A three-dimensional variational (3DVAR) assimilation technique developed for a convective-scale NWP model—advanced regional prediction system (ARPS)—is used to analyze the 8 May 2003, Moore/Midwest City, Oklahoma tornadic supercell thunderstorm. Previous studies on this case used only one or two rad...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2013/281695 |
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| author | Edward Natenberg Jidong Gao Ming Xue Frederick H. Carr |
| author_facet | Edward Natenberg Jidong Gao Ming Xue Frederick H. Carr |
| author_sort | Edward Natenberg |
| collection | DOAJ |
| description | A three-dimensional variational (3DVAR) assimilation technique developed for a convective-scale NWP model—advanced regional prediction system (ARPS)—is used to analyze the 8 May 2003, Moore/Midwest City, Oklahoma tornadic supercell thunderstorm. Previous studies on this case used only one or two radars that are very close to this storm. However, three other radars observed the upper-level part of the storm. Because these three radars are located far away from the targeted storm, they were overlooked by previous studies. High-frequency intermittent 3DVAR analyses are performed using the data from five radars that together provide a more complete picture of this storm. The analyses capture a well-defined mesocyclone in the midlevels and the wind circulation associated with a hook-shaped echo. The analyses produced through this technique are used as initial conditions for a 40-minute storm-scale forecast. The impact of multiple radars on a short-term NWP forecast is most evident when compared to forecasts using data from only one and two radars. The use of all radars provides the best forecast in which a strong low-level mesocyclone develops and tracks in close proximity to the actual tornado damage path. |
| format | Article |
| id | doaj-art-29697c346ce949dea91bbe2a87188b42 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-29697c346ce949dea91bbe2a87188b422025-02-03T05:45:37ZengWileyAdvances in Meteorology1687-93091687-93172013-01-01201310.1155/2013/281695281695Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS ModelEdward Natenberg0Jidong Gao1Ming Xue2Frederick H. Carr3Center for Analysis and Prediction of Storms, University of Oklahoma, Norman, OK 73072, USANOAA/National Severe Storms Laboratory, Norman, OK 73072, USACenter for Analysis and Prediction of Storms, University of Oklahoma, Norman, OK 73072, USACenter for Analysis and Prediction of Storms, University of Oklahoma, Norman, OK 73072, USAA three-dimensional variational (3DVAR) assimilation technique developed for a convective-scale NWP model—advanced regional prediction system (ARPS)—is used to analyze the 8 May 2003, Moore/Midwest City, Oklahoma tornadic supercell thunderstorm. Previous studies on this case used only one or two radars that are very close to this storm. However, three other radars observed the upper-level part of the storm. Because these three radars are located far away from the targeted storm, they were overlooked by previous studies. High-frequency intermittent 3DVAR analyses are performed using the data from five radars that together provide a more complete picture of this storm. The analyses capture a well-defined mesocyclone in the midlevels and the wind circulation associated with a hook-shaped echo. The analyses produced through this technique are used as initial conditions for a 40-minute storm-scale forecast. The impact of multiple radars on a short-term NWP forecast is most evident when compared to forecasts using data from only one and two radars. The use of all radars provides the best forecast in which a strong low-level mesocyclone develops and tracks in close proximity to the actual tornado damage path.http://dx.doi.org/10.1155/2013/281695 |
| spellingShingle | Edward Natenberg Jidong Gao Ming Xue Frederick H. Carr Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS Model Advances in Meteorology |
| title | Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS Model |
| title_full | Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS Model |
| title_fullStr | Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS Model |
| title_full_unstemmed | Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS Model |
| title_short | Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS Model |
| title_sort | analysis and forecast of a tornadic thunderstorm using multiple doppler radar data 3dvar and arps model |
| url | http://dx.doi.org/10.1155/2013/281695 |
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