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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Detalles Bibliográficos
Publicado:	2016
Materias:	Atm/ocean structure/phenomena Convective clouds Forecasting Nowcasting Observational techniques and algorithms Radars/radar observations Extrapolation Meteorological radar Parabolic antennas Radar Convective precipitation Conventional algorithms Three dimensional space Threedimensional (3-d) Two Dimensional (2 D) Antenna phased arrays algorithm convective cloud nowcasting precipitation (climatology) radar spatiotemporal analysis
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08828156_v31_n1_p329_Otsuka http://hdl.handle.net/20.500.12110/paper_08828156_v31_n1_p329_Otsuka
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_08828156_v31_n1_p329_Otsuka
record_format	dspace
spelling	paper:paper_08828156_v31_n1_p329_Otsuka2023-06-08T15:46:26Z Precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations 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. 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08828156_v31_n1_p329_Otsuka 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 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.
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
publishDate	2016
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08828156_v31_n1_p329_Otsuka http://hdl.handle.net/20.500.12110/paper_08828156_v31_n1_p329_Otsuka
_version_	1768543329254899712

Precipitation nowcasting with three-dimensional space-time extrapolation of dense and frequent phased-array weather radar observations

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