Impact of Radar Data Assimilation on the Simulation of a Heavy Rainfall Event Over Manaus in the Central Amazon
Abstract The aim of this study was to evaluate the impact of radar-detected radial velocity and reflectivity data assimilation (DA) on precipitation forecasts using the Weather Research and Forecasting (WRF) numerical model and its three-dimensional variational DA system (WRFDA-3DVAR). For this purp...
Ausführliche Beschreibung
Autor*in: |
de Souza, Paulo Maurício Moura [verfasserIn] de Oliveira, Maria Betânia Leal |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
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Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 |
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Übergeordnetes Werk: |
Enthalten in: Pure and applied geophysics - Basel : Birkhäuser, 1939, 179(2021), 1 vom: 13. Nov., Seite 425-440 |
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Übergeordnetes Werk: |
volume:179 ; year:2021 ; number:1 ; day:13 ; month:11 ; pages:425-440 |
Links: |
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DOI / URN: |
10.1007/s00024-021-02901-0 |
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Katalog-ID: |
SPR045947961 |
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520 | |a Abstract The aim of this study was to evaluate the impact of radar-detected radial velocity and reflectivity data assimilation (DA) on precipitation forecasts using the Weather Research and Forecasting (WRF) numerical model and its three-dimensional variational DA system (WRFDA-3DVAR). For this purpose, one heavy rain event in the city of Manaus in the Central Amazon on 25 December 2017 was analyzed. Numerical experiments were conducted using different initial conditions and both cyclical and non-cyclical assimilation processes. The evaluation of these experiments, conducted with and without radar DA, was based on comparisons between estimated radar precipitation and simulated precipitation. The results show that radial velocity plays a fundamental role in improving the representation of the convective system. Additionally, the best results were obtained when reflectivity was included alongside radial velocity in non-cyclical assimilation processes. Therefore, it can be concluded that the assimilation of radar data positively impacted the short-term forecast of precipitation associated with the studied convective system. | ||
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700 | 1 | |a Vendrasco, Eder Paulo |4 aut | |
700 | 1 | |a Saraiva, Ivan |4 aut | |
700 | 1 | |a Trindade, Maximiliano |4 aut | |
700 | 1 | |a de Oliveira, Maria Betânia Leal |4 aut | |
700 | 1 | |a Saraiva, Jaci |4 aut | |
700 | 1 | |a Dellarosa, Ricardo |4 aut | |
700 | 1 | |a de Souza, Rodrigo Augusto Ferreira |4 aut | |
700 | 1 | |a Candido, Luiz Antonio |4 aut | |
700 | 1 | |a Sapucci, Luiz Fernando |4 aut | |
700 | 1 | |a Andreoli, Rita Valéria |0 (orcid)0000-0001-5531-0733 |4 aut | |
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10.1007/s00024-021-02901-0 doi (DE-627)SPR045947961 (SPR)s00024-021-02901-0-e DE-627 ger DE-627 rakwb eng de Souza, Paulo Maurício Moura verfasserin aut Impact of Radar Data Assimilation on the Simulation of a Heavy Rainfall Event Over Manaus in the Central Amazon 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 Abstract The aim of this study was to evaluate the impact of radar-detected radial velocity and reflectivity data assimilation (DA) on precipitation forecasts using the Weather Research and Forecasting (WRF) numerical model and its three-dimensional variational DA system (WRFDA-3DVAR). For this purpose, one heavy rain event in the city of Manaus in the Central Amazon on 25 December 2017 was analyzed. Numerical experiments were conducted using different initial conditions and both cyclical and non-cyclical assimilation processes. The evaluation of these experiments, conducted with and without radar DA, was based on comparisons between estimated radar precipitation and simulated precipitation. The results show that radial velocity plays a fundamental role in improving the representation of the convective system. Additionally, the best results were obtained when reflectivity was included alongside radial velocity in non-cyclical assimilation processes. Therefore, it can be concluded that the assimilation of radar data positively impacted the short-term forecast of precipitation associated with the studied convective system. Data assimilation (dpeaa)DE-He213 meteorological radar (dpeaa)DE-He213 reflectivity (dpeaa)DE-He213 radial velocity (dpeaa)DE-He213 WRF 3D-Var (dpeaa)DE-He213 Central Amazon (dpeaa)DE-He213 Vendrasco, Eder Paulo aut Saraiva, Ivan aut Trindade, Maximiliano aut de Oliveira, Maria Betânia Leal aut Saraiva, Jaci aut Dellarosa, Ricardo aut de Souza, Rodrigo Augusto Ferreira aut Candido, Luiz Antonio aut Sapucci, Luiz Fernando aut Andreoli, Rita Valéria (orcid)0000-0001-5531-0733 aut Enthalten in Pure and applied geophysics Basel : Birkhäuser, 1939 179(2021), 1 vom: 13. Nov., Seite 425-440 (DE-627)265506743 (DE-600)1464028-4 1420-9136 nnns volume:179 year:2021 number:1 day:13 month:11 pages:425-440 https://dx.doi.org/10.1007/s00024-021-02901-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 179 2021 1 13 11 425-440 |
spelling |
10.1007/s00024-021-02901-0 doi (DE-627)SPR045947961 (SPR)s00024-021-02901-0-e DE-627 ger DE-627 rakwb eng de Souza, Paulo Maurício Moura verfasserin aut Impact of Radar Data Assimilation on the Simulation of a Heavy Rainfall Event Over Manaus in the Central Amazon 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 Abstract The aim of this study was to evaluate the impact of radar-detected radial velocity and reflectivity data assimilation (DA) on precipitation forecasts using the Weather Research and Forecasting (WRF) numerical model and its three-dimensional variational DA system (WRFDA-3DVAR). For this purpose, one heavy rain event in the city of Manaus in the Central Amazon on 25 December 2017 was analyzed. Numerical experiments were conducted using different initial conditions and both cyclical and non-cyclical assimilation processes. The evaluation of these experiments, conducted with and without radar DA, was based on comparisons between estimated radar precipitation and simulated precipitation. The results show that radial velocity plays a fundamental role in improving the representation of the convective system. Additionally, the best results were obtained when reflectivity was included alongside radial velocity in non-cyclical assimilation processes. Therefore, it can be concluded that the assimilation of radar data positively impacted the short-term forecast of precipitation associated with the studied convective system. Data assimilation (dpeaa)DE-He213 meteorological radar (dpeaa)DE-He213 reflectivity (dpeaa)DE-He213 radial velocity (dpeaa)DE-He213 WRF 3D-Var (dpeaa)DE-He213 Central Amazon (dpeaa)DE-He213 Vendrasco, Eder Paulo aut Saraiva, Ivan aut Trindade, Maximiliano aut de Oliveira, Maria Betânia Leal aut Saraiva, Jaci aut Dellarosa, Ricardo aut de Souza, Rodrigo Augusto Ferreira aut Candido, Luiz Antonio aut Sapucci, Luiz Fernando aut Andreoli, Rita Valéria (orcid)0000-0001-5531-0733 aut Enthalten in Pure and applied geophysics Basel : Birkhäuser, 1939 179(2021), 1 vom: 13. Nov., Seite 425-440 (DE-627)265506743 (DE-600)1464028-4 1420-9136 nnns volume:179 year:2021 number:1 day:13 month:11 pages:425-440 https://dx.doi.org/10.1007/s00024-021-02901-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 179 2021 1 13 11 425-440 |
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10.1007/s00024-021-02901-0 doi (DE-627)SPR045947961 (SPR)s00024-021-02901-0-e DE-627 ger DE-627 rakwb eng de Souza, Paulo Maurício Moura verfasserin aut Impact of Radar Data Assimilation on the Simulation of a Heavy Rainfall Event Over Manaus in the Central Amazon 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 Abstract The aim of this study was to evaluate the impact of radar-detected radial velocity and reflectivity data assimilation (DA) on precipitation forecasts using the Weather Research and Forecasting (WRF) numerical model and its three-dimensional variational DA system (WRFDA-3DVAR). For this purpose, one heavy rain event in the city of Manaus in the Central Amazon on 25 December 2017 was analyzed. Numerical experiments were conducted using different initial conditions and both cyclical and non-cyclical assimilation processes. The evaluation of these experiments, conducted with and without radar DA, was based on comparisons between estimated radar precipitation and simulated precipitation. The results show that radial velocity plays a fundamental role in improving the representation of the convective system. Additionally, the best results were obtained when reflectivity was included alongside radial velocity in non-cyclical assimilation processes. Therefore, it can be concluded that the assimilation of radar data positively impacted the short-term forecast of precipitation associated with the studied convective system. Data assimilation (dpeaa)DE-He213 meteorological radar (dpeaa)DE-He213 reflectivity (dpeaa)DE-He213 radial velocity (dpeaa)DE-He213 WRF 3D-Var (dpeaa)DE-He213 Central Amazon (dpeaa)DE-He213 Vendrasco, Eder Paulo aut Saraiva, Ivan aut Trindade, Maximiliano aut de Oliveira, Maria Betânia Leal aut Saraiva, Jaci aut Dellarosa, Ricardo aut de Souza, Rodrigo Augusto Ferreira aut Candido, Luiz Antonio aut Sapucci, Luiz Fernando aut Andreoli, Rita Valéria (orcid)0000-0001-5531-0733 aut Enthalten in Pure and applied geophysics Basel : Birkhäuser, 1939 179(2021), 1 vom: 13. Nov., Seite 425-440 (DE-627)265506743 (DE-600)1464028-4 1420-9136 nnns volume:179 year:2021 number:1 day:13 month:11 pages:425-440 https://dx.doi.org/10.1007/s00024-021-02901-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 179 2021 1 13 11 425-440 |
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10.1007/s00024-021-02901-0 doi (DE-627)SPR045947961 (SPR)s00024-021-02901-0-e DE-627 ger DE-627 rakwb eng de Souza, Paulo Maurício Moura verfasserin aut Impact of Radar Data Assimilation on the Simulation of a Heavy Rainfall Event Over Manaus in the Central Amazon 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 Abstract The aim of this study was to evaluate the impact of radar-detected radial velocity and reflectivity data assimilation (DA) on precipitation forecasts using the Weather Research and Forecasting (WRF) numerical model and its three-dimensional variational DA system (WRFDA-3DVAR). For this purpose, one heavy rain event in the city of Manaus in the Central Amazon on 25 December 2017 was analyzed. Numerical experiments were conducted using different initial conditions and both cyclical and non-cyclical assimilation processes. The evaluation of these experiments, conducted with and without radar DA, was based on comparisons between estimated radar precipitation and simulated precipitation. The results show that radial velocity plays a fundamental role in improving the representation of the convective system. Additionally, the best results were obtained when reflectivity was included alongside radial velocity in non-cyclical assimilation processes. Therefore, it can be concluded that the assimilation of radar data positively impacted the short-term forecast of precipitation associated with the studied convective system. Data assimilation (dpeaa)DE-He213 meteorological radar (dpeaa)DE-He213 reflectivity (dpeaa)DE-He213 radial velocity (dpeaa)DE-He213 WRF 3D-Var (dpeaa)DE-He213 Central Amazon (dpeaa)DE-He213 Vendrasco, Eder Paulo aut Saraiva, Ivan aut Trindade, Maximiliano aut de Oliveira, Maria Betânia Leal aut Saraiva, Jaci aut Dellarosa, Ricardo aut de Souza, Rodrigo Augusto Ferreira aut Candido, Luiz Antonio aut Sapucci, Luiz Fernando aut Andreoli, Rita Valéria (orcid)0000-0001-5531-0733 aut Enthalten in Pure and applied geophysics Basel : Birkhäuser, 1939 179(2021), 1 vom: 13. Nov., Seite 425-440 (DE-627)265506743 (DE-600)1464028-4 1420-9136 nnns volume:179 year:2021 number:1 day:13 month:11 pages:425-440 https://dx.doi.org/10.1007/s00024-021-02901-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 179 2021 1 13 11 425-440 |
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10.1007/s00024-021-02901-0 doi (DE-627)SPR045947961 (SPR)s00024-021-02901-0-e DE-627 ger DE-627 rakwb eng de Souza, Paulo Maurício Moura verfasserin aut Impact of Radar Data Assimilation on the Simulation of a Heavy Rainfall Event Over Manaus in the Central Amazon 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 Abstract The aim of this study was to evaluate the impact of radar-detected radial velocity and reflectivity data assimilation (DA) on precipitation forecasts using the Weather Research and Forecasting (WRF) numerical model and its three-dimensional variational DA system (WRFDA-3DVAR). For this purpose, one heavy rain event in the city of Manaus in the Central Amazon on 25 December 2017 was analyzed. Numerical experiments were conducted using different initial conditions and both cyclical and non-cyclical assimilation processes. The evaluation of these experiments, conducted with and without radar DA, was based on comparisons between estimated radar precipitation and simulated precipitation. The results show that radial velocity plays a fundamental role in improving the representation of the convective system. Additionally, the best results were obtained when reflectivity was included alongside radial velocity in non-cyclical assimilation processes. Therefore, it can be concluded that the assimilation of radar data positively impacted the short-term forecast of precipitation associated with the studied convective system. Data assimilation (dpeaa)DE-He213 meteorological radar (dpeaa)DE-He213 reflectivity (dpeaa)DE-He213 radial velocity (dpeaa)DE-He213 WRF 3D-Var (dpeaa)DE-He213 Central Amazon (dpeaa)DE-He213 Vendrasco, Eder Paulo aut Saraiva, Ivan aut Trindade, Maximiliano aut de Oliveira, Maria Betânia Leal aut Saraiva, Jaci aut Dellarosa, Ricardo aut de Souza, Rodrigo Augusto Ferreira aut Candido, Luiz Antonio aut Sapucci, Luiz Fernando aut Andreoli, Rita Valéria (orcid)0000-0001-5531-0733 aut Enthalten in Pure and applied geophysics Basel : Birkhäuser, 1939 179(2021), 1 vom: 13. Nov., Seite 425-440 (DE-627)265506743 (DE-600)1464028-4 1420-9136 nnns volume:179 year:2021 number:1 day:13 month:11 pages:425-440 https://dx.doi.org/10.1007/s00024-021-02901-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 179 2021 1 13 11 425-440 |
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Enthalten in Pure and applied geophysics 179(2021), 1 vom: 13. Nov., Seite 425-440 volume:179 year:2021 number:1 day:13 month:11 pages:425-440 |
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Enthalten in Pure and applied geophysics 179(2021), 1 vom: 13. Nov., Seite 425-440 volume:179 year:2021 number:1 day:13 month:11 pages:425-440 |
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Data assimilation meteorological radar reflectivity radial velocity WRF 3D-Var Central Amazon |
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de Souza, Paulo Maurício Moura @@aut@@ Vendrasco, Eder Paulo @@aut@@ Saraiva, Ivan @@aut@@ Trindade, Maximiliano @@aut@@ de Oliveira, Maria Betânia Leal @@aut@@ Saraiva, Jaci @@aut@@ Dellarosa, Ricardo @@aut@@ de Souza, Rodrigo Augusto Ferreira @@aut@@ Candido, Luiz Antonio @@aut@@ Sapucci, Luiz Fernando @@aut@@ Andreoli, Rita Valéria @@aut@@ |
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For this purpose, one heavy rain event in the city of Manaus in the Central Amazon on 25 December 2017 was analyzed. Numerical experiments were conducted using different initial conditions and both cyclical and non-cyclical assimilation processes. The evaluation of these experiments, conducted with and without radar DA, was based on comparisons between estimated radar precipitation and simulated precipitation. The results show that radial velocity plays a fundamental role in improving the representation of the convective system. Additionally, the best results were obtained when reflectivity was included alongside radial velocity in non-cyclical assimilation processes. 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|
author |
de Souza, Paulo Maurício Moura |
spellingShingle |
de Souza, Paulo Maurício Moura misc Data assimilation misc meteorological radar misc reflectivity misc radial velocity misc WRF 3D-Var misc Central Amazon Impact of Radar Data Assimilation on the Simulation of a Heavy Rainfall Event Over Manaus in the Central Amazon |
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Impact of Radar Data Assimilation on the Simulation of a Heavy Rainfall Event Over Manaus in the Central Amazon Data assimilation (dpeaa)DE-He213 meteorological radar (dpeaa)DE-He213 reflectivity (dpeaa)DE-He213 radial velocity (dpeaa)DE-He213 WRF 3D-Var (dpeaa)DE-He213 Central Amazon (dpeaa)DE-He213 |
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misc Data assimilation misc meteorological radar misc reflectivity misc radial velocity misc WRF 3D-Var misc Central Amazon |
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Impact of Radar Data Assimilation on the Simulation of a Heavy Rainfall Event Over Manaus in the Central Amazon |
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de Souza, Paulo Maurício Moura |
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de Souza, Paulo Maurício Moura Vendrasco, Eder Paulo Saraiva, Ivan Trindade, Maximiliano de Oliveira, Maria Betânia Leal Saraiva, Jaci Dellarosa, Ricardo de Souza, Rodrigo Augusto Ferreira Candido, Luiz Antonio Sapucci, Luiz Fernando Andreoli, Rita Valéria |
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title_sort |
impact of radar data assimilation on the simulation of a heavy rainfall event over manaus in the central amazon |
title_auth |
Impact of Radar Data Assimilation on the Simulation of a Heavy Rainfall Event Over Manaus in the Central Amazon |
abstract |
Abstract The aim of this study was to evaluate the impact of radar-detected radial velocity and reflectivity data assimilation (DA) on precipitation forecasts using the Weather Research and Forecasting (WRF) numerical model and its three-dimensional variational DA system (WRFDA-3DVAR). For this purpose, one heavy rain event in the city of Manaus in the Central Amazon on 25 December 2017 was analyzed. Numerical experiments were conducted using different initial conditions and both cyclical and non-cyclical assimilation processes. The evaluation of these experiments, conducted with and without radar DA, was based on comparisons between estimated radar precipitation and simulated precipitation. The results show that radial velocity plays a fundamental role in improving the representation of the convective system. Additionally, the best results were obtained when reflectivity was included alongside radial velocity in non-cyclical assimilation processes. Therefore, it can be concluded that the assimilation of radar data positively impacted the short-term forecast of precipitation associated with the studied convective system. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 |
abstractGer |
Abstract The aim of this study was to evaluate the impact of radar-detected radial velocity and reflectivity data assimilation (DA) on precipitation forecasts using the Weather Research and Forecasting (WRF) numerical model and its three-dimensional variational DA system (WRFDA-3DVAR). For this purpose, one heavy rain event in the city of Manaus in the Central Amazon on 25 December 2017 was analyzed. Numerical experiments were conducted using different initial conditions and both cyclical and non-cyclical assimilation processes. The evaluation of these experiments, conducted with and without radar DA, was based on comparisons between estimated radar precipitation and simulated precipitation. The results show that radial velocity plays a fundamental role in improving the representation of the convective system. Additionally, the best results were obtained when reflectivity was included alongside radial velocity in non-cyclical assimilation processes. Therefore, it can be concluded that the assimilation of radar data positively impacted the short-term forecast of precipitation associated with the studied convective system. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 |
abstract_unstemmed |
Abstract The aim of this study was to evaluate the impact of radar-detected radial velocity and reflectivity data assimilation (DA) on precipitation forecasts using the Weather Research and Forecasting (WRF) numerical model and its three-dimensional variational DA system (WRFDA-3DVAR). For this purpose, one heavy rain event in the city of Manaus in the Central Amazon on 25 December 2017 was analyzed. Numerical experiments were conducted using different initial conditions and both cyclical and non-cyclical assimilation processes. The evaluation of these experiments, conducted with and without radar DA, was based on comparisons between estimated radar precipitation and simulated precipitation. The results show that radial velocity plays a fundamental role in improving the representation of the convective system. Additionally, the best results were obtained when reflectivity was included alongside radial velocity in non-cyclical assimilation processes. Therefore, it can be concluded that the assimilation of radar data positively impacted the short-term forecast of precipitation associated with the studied convective system. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 |
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container_issue |
1 |
title_short |
Impact of Radar Data Assimilation on the Simulation of a Heavy Rainfall Event Over Manaus in the Central Amazon |
url |
https://dx.doi.org/10.1007/s00024-021-02901-0 |
remote_bool |
true |
author2 |
Vendrasco, Eder Paulo Saraiva, Ivan Trindade, Maximiliano de Oliveira, Maria Betânia Leal Saraiva, Jaci Dellarosa, Ricardo de Souza, Rodrigo Augusto Ferreira Candido, Luiz Antonio Sapucci, Luiz Fernando Andreoli, Rita Valéria |
author2Str |
Vendrasco, Eder Paulo Saraiva, Ivan Trindade, Maximiliano de Oliveira, Maria Betânia Leal Saraiva, Jaci Dellarosa, Ricardo de Souza, Rodrigo Augusto Ferreira Candido, Luiz Antonio Sapucci, Luiz Fernando Andreoli, Rita Valéria |
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10.1007/s00024-021-02901-0 |
up_date |
2024-07-03T19:20:35.118Z |
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|
score |
7.397993 |