Precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations
The phased-array weather radar (PAWR) is a new-generation weather radar that can make a 100-m-resolution three-dimensional (3D) volume scan every 30 s for 100 vertical levels, producing ~100 times more data than the conventional parabolic-antenna radar with a volume scan typically made every 5 min f...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_08828156_v31_n1_p329_Otsuka |
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todo:paper_08828156_v31_n1_p329_Otsuka2023-10-03T15:40:27Z Precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations Otsuka, S. Tuerhong, G. Kikuchi, R. Kitano, Y. Taniguchi, Y. Ruiz, J.J. Satoh, S. Ushio, T. Miyoshi, T. Atm/ocean structure/phenomena Convective clouds Forecasting Nowcasting Observational techniques and algorithms Radars/radar observations Extrapolation Forecasting Meteorological radar Parabolic antennas Radar Convective clouds Convective precipitation Conventional algorithms Nowcasting Radars/radar observations Three dimensional space Threedimensional (3-d) Two Dimensional (2 D) Antenna phased arrays algorithm convective cloud nowcasting precipitation (climatology) radar spatiotemporal analysis The phased-array weather radar (PAWR) is a new-generation weather radar that can make a 100-m-resolution three-dimensional (3D) volume scan every 30 s for 100 vertical levels, producing ~100 times more data than the conventional parabolic-antenna radar with a volume scan typically made every 5 min for 15 scan levels. This study takes advantage of orders of magnitude more rapid and dense observations by PAWR and explores high-precision nowcasting of 3D evolution at 1-10-km scales up to several minutes, which are compared with conventional horizontal two-dimensional (2D) nowcasting typically at O(100) km scales up to 1-6 h. A new 3D precipitation extrapolation system was designed to enhance a conventional algorithm for dense and rapid PAWR volume scans. Experiments show that the 3D extrapolation successfully captured vertical motions of convective precipitation cores and outperformed 2D nowcasting with both simulated and real PAWR data. © 2016 American Meteorological Society. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_08828156_v31_n1_p329_Otsuka |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Atm/ocean structure/phenomena Convective clouds Forecasting Nowcasting Observational techniques and algorithms Radars/radar observations Extrapolation Forecasting Meteorological radar Parabolic antennas Radar Convective clouds Convective precipitation Conventional algorithms Nowcasting Radars/radar observations Three dimensional space Threedimensional (3-d) Two Dimensional (2 D) Antenna phased arrays algorithm convective cloud nowcasting precipitation (climatology) radar spatiotemporal analysis |
| spellingShingle |
Atm/ocean structure/phenomena Convective clouds Forecasting Nowcasting Observational techniques and algorithms Radars/radar observations Extrapolation Forecasting Meteorological radar Parabolic antennas Radar Convective clouds Convective precipitation Conventional algorithms Nowcasting Radars/radar observations Three dimensional space Threedimensional (3-d) Two Dimensional (2 D) Antenna phased arrays algorithm convective cloud nowcasting precipitation (climatology) radar spatiotemporal analysis Otsuka, S. Tuerhong, G. Kikuchi, R. Kitano, Y. Taniguchi, Y. Ruiz, J.J. Satoh, S. Ushio, T. Miyoshi, T. Precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations |
| topic_facet |
Atm/ocean structure/phenomena Convective clouds Forecasting Nowcasting Observational techniques and algorithms Radars/radar observations Extrapolation Forecasting Meteorological radar Parabolic antennas Radar Convective clouds Convective precipitation Conventional algorithms Nowcasting Radars/radar observations Three dimensional space Threedimensional (3-d) Two Dimensional (2 D) Antenna phased arrays algorithm convective cloud nowcasting precipitation (climatology) radar spatiotemporal analysis |
| description |
The phased-array weather radar (PAWR) is a new-generation weather radar that can make a 100-m-resolution three-dimensional (3D) volume scan every 30 s for 100 vertical levels, producing ~100 times more data than the conventional parabolic-antenna radar with a volume scan typically made every 5 min for 15 scan levels. This study takes advantage of orders of magnitude more rapid and dense observations by PAWR and explores high-precision nowcasting of 3D evolution at 1-10-km scales up to several minutes, which are compared with conventional horizontal two-dimensional (2D) nowcasting typically at O(100) km scales up to 1-6 h. A new 3D precipitation extrapolation system was designed to enhance a conventional algorithm for dense and rapid PAWR volume scans. Experiments show that the 3D extrapolation successfully captured vertical motions of convective precipitation cores and outperformed 2D nowcasting with both simulated and real PAWR data. © 2016 American Meteorological Society. |
| format |
JOUR |
| author |
Otsuka, S. Tuerhong, G. Kikuchi, R. Kitano, Y. Taniguchi, Y. Ruiz, J.J. Satoh, S. Ushio, T. Miyoshi, T. |
| author_facet |
Otsuka, S. Tuerhong, G. Kikuchi, R. Kitano, Y. Taniguchi, Y. Ruiz, J.J. Satoh, S. Ushio, T. Miyoshi, T. |
| author_sort |
Otsuka, S. |
| title |
Precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations |
| title_short |
Precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations |
| title_full |
Precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations |
| title_fullStr |
Precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations |
| title_full_unstemmed |
Precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations |
| title_sort |
precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations |
| url |
http://hdl.handle.net/20.500.12110/paper_08828156_v31_n1_p329_Otsuka |
| work_keys_str_mv |
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| _version_ |
1807315878375587840 |