Measuring the Atmospheric Boundary Layer Parameters with a Coherent Doppler Lidar
Abstract Coherent Doppler lidars are traditionally used to measure wind speed in the atmospheric boundary layer. However, in addition to wind speed data, coherent Doppler lidars are a source of information on the distribution of the aerosol particle concentration in the atmosphere, which makes it po...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Boreisho, A. S. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© Pleiades Publishing, Ltd. 2023 |
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| Übergeordnetes Werk: |
Enthalten in: Russian meteorology and hydrology - New York, NY : Allerton Press, 2007, 47(2022), 12 vom: Dez., Seite 931-937 |
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| Übergeordnetes Werk: |
volume:47 ; year:2022 ; number:12 ; month:12 ; pages:931-937 |
| Links: |
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| DOI / URN: |
10.3103/S1068373922120044 |
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| Katalog-ID: |
SPR051434539 |
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| 520 | |a Abstract Coherent Doppler lidars are traditionally used to measure wind speed in the atmospheric boundary layer. However, in addition to wind speed data, coherent Doppler lidars are a source of information on the distribution of the aerosol particle concentration in the atmosphere, which makes it possible to measure the height of the planetary boundary layer, to determine the cloud base and the number of cloud layers, as well as information on the distribution of aerosols along the path or in the scanning sector. The paper considers algorithms for processing data from coherent Doppler lidars to obtain comprehensive information about the parameters of the atmospheric boundary layer. The results of experimental studies and their analysis are presented. | ||
| 650 | 4 | |a coherent Doppler lidar |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a planetary boundary layer |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a wavelet transform |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Haar wavelet |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a lidar data filtering |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Konyaev, M. A. |4 aut | |
| 700 | 1 | |a Orlov, A. E. |4 aut | |
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10.3103/S1068373922120044 doi (DE-627)SPR051434539 (SPR)S1068373922120044-e DE-627 ger DE-627 rakwb eng Boreisho, A. S. verfasserin aut Measuring the Atmospheric Boundary Layer Parameters with a Coherent Doppler Lidar 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2023 Abstract Coherent Doppler lidars are traditionally used to measure wind speed in the atmospheric boundary layer. However, in addition to wind speed data, coherent Doppler lidars are a source of information on the distribution of the aerosol particle concentration in the atmosphere, which makes it possible to measure the height of the planetary boundary layer, to determine the cloud base and the number of cloud layers, as well as information on the distribution of aerosols along the path or in the scanning sector. The paper considers algorithms for processing data from coherent Doppler lidars to obtain comprehensive information about the parameters of the atmospheric boundary layer. The results of experimental studies and their analysis are presented. coherent Doppler lidar (dpeaa)DE-He213 planetary boundary layer (dpeaa)DE-He213 wavelet transform (dpeaa)DE-He213 Haar wavelet (dpeaa)DE-He213 lidar data filtering (dpeaa)DE-He213 Konyaev, M. A. aut Orlov, A. E. aut Enthalten in Russian meteorology and hydrology New York, NY : Allerton Press, 2007 47(2022), 12 vom: Dez., Seite 931-937 (DE-627)531203581 (DE-600)2324879-8 1934-8096 nnns volume:47 year:2022 number:12 month:12 pages:931-937 https://dx.doi.org/10.3103/S1068373922120044 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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 47 2022 12 12 931-937 |
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10.3103/S1068373922120044 doi (DE-627)SPR051434539 (SPR)S1068373922120044-e DE-627 ger DE-627 rakwb eng Boreisho, A. S. verfasserin aut Measuring the Atmospheric Boundary Layer Parameters with a Coherent Doppler Lidar 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2023 Abstract Coherent Doppler lidars are traditionally used to measure wind speed in the atmospheric boundary layer. However, in addition to wind speed data, coherent Doppler lidars are a source of information on the distribution of the aerosol particle concentration in the atmosphere, which makes it possible to measure the height of the planetary boundary layer, to determine the cloud base and the number of cloud layers, as well as information on the distribution of aerosols along the path or in the scanning sector. The paper considers algorithms for processing data from coherent Doppler lidars to obtain comprehensive information about the parameters of the atmospheric boundary layer. The results of experimental studies and their analysis are presented. coherent Doppler lidar (dpeaa)DE-He213 planetary boundary layer (dpeaa)DE-He213 wavelet transform (dpeaa)DE-He213 Haar wavelet (dpeaa)DE-He213 lidar data filtering (dpeaa)DE-He213 Konyaev, M. A. aut Orlov, A. E. aut Enthalten in Russian meteorology and hydrology New York, NY : Allerton Press, 2007 47(2022), 12 vom: Dez., Seite 931-937 (DE-627)531203581 (DE-600)2324879-8 1934-8096 nnns volume:47 year:2022 number:12 month:12 pages:931-937 https://dx.doi.org/10.3103/S1068373922120044 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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 47 2022 12 12 931-937 |
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10.3103/S1068373922120044 doi (DE-627)SPR051434539 (SPR)S1068373922120044-e DE-627 ger DE-627 rakwb eng Boreisho, A. S. verfasserin aut Measuring the Atmospheric Boundary Layer Parameters with a Coherent Doppler Lidar 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2023 Abstract Coherent Doppler lidars are traditionally used to measure wind speed in the atmospheric boundary layer. However, in addition to wind speed data, coherent Doppler lidars are a source of information on the distribution of the aerosol particle concentration in the atmosphere, which makes it possible to measure the height of the planetary boundary layer, to determine the cloud base and the number of cloud layers, as well as information on the distribution of aerosols along the path or in the scanning sector. The paper considers algorithms for processing data from coherent Doppler lidars to obtain comprehensive information about the parameters of the atmospheric boundary layer. The results of experimental studies and their analysis are presented. coherent Doppler lidar (dpeaa)DE-He213 planetary boundary layer (dpeaa)DE-He213 wavelet transform (dpeaa)DE-He213 Haar wavelet (dpeaa)DE-He213 lidar data filtering (dpeaa)DE-He213 Konyaev, M. A. aut Orlov, A. E. aut Enthalten in Russian meteorology and hydrology New York, NY : Allerton Press, 2007 47(2022), 12 vom: Dez., Seite 931-937 (DE-627)531203581 (DE-600)2324879-8 1934-8096 nnns volume:47 year:2022 number:12 month:12 pages:931-937 https://dx.doi.org/10.3103/S1068373922120044 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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 47 2022 12 12 931-937 |
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10.3103/S1068373922120044 doi (DE-627)SPR051434539 (SPR)S1068373922120044-e DE-627 ger DE-627 rakwb eng Boreisho, A. S. verfasserin aut Measuring the Atmospheric Boundary Layer Parameters with a Coherent Doppler Lidar 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2023 Abstract Coherent Doppler lidars are traditionally used to measure wind speed in the atmospheric boundary layer. However, in addition to wind speed data, coherent Doppler lidars are a source of information on the distribution of the aerosol particle concentration in the atmosphere, which makes it possible to measure the height of the planetary boundary layer, to determine the cloud base and the number of cloud layers, as well as information on the distribution of aerosols along the path or in the scanning sector. The paper considers algorithms for processing data from coherent Doppler lidars to obtain comprehensive information about the parameters of the atmospheric boundary layer. The results of experimental studies and their analysis are presented. coherent Doppler lidar (dpeaa)DE-He213 planetary boundary layer (dpeaa)DE-He213 wavelet transform (dpeaa)DE-He213 Haar wavelet (dpeaa)DE-He213 lidar data filtering (dpeaa)DE-He213 Konyaev, M. A. aut Orlov, A. E. aut Enthalten in Russian meteorology and hydrology New York, NY : Allerton Press, 2007 47(2022), 12 vom: Dez., Seite 931-937 (DE-627)531203581 (DE-600)2324879-8 1934-8096 nnns volume:47 year:2022 number:12 month:12 pages:931-937 https://dx.doi.org/10.3103/S1068373922120044 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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 47 2022 12 12 931-937 |
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10.3103/S1068373922120044 doi (DE-627)SPR051434539 (SPR)S1068373922120044-e DE-627 ger DE-627 rakwb eng Boreisho, A. S. verfasserin aut Measuring the Atmospheric Boundary Layer Parameters with a Coherent Doppler Lidar 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2023 Abstract Coherent Doppler lidars are traditionally used to measure wind speed in the atmospheric boundary layer. However, in addition to wind speed data, coherent Doppler lidars are a source of information on the distribution of the aerosol particle concentration in the atmosphere, which makes it possible to measure the height of the planetary boundary layer, to determine the cloud base and the number of cloud layers, as well as information on the distribution of aerosols along the path or in the scanning sector. The paper considers algorithms for processing data from coherent Doppler lidars to obtain comprehensive information about the parameters of the atmospheric boundary layer. The results of experimental studies and their analysis are presented. coherent Doppler lidar (dpeaa)DE-He213 planetary boundary layer (dpeaa)DE-He213 wavelet transform (dpeaa)DE-He213 Haar wavelet (dpeaa)DE-He213 lidar data filtering (dpeaa)DE-He213 Konyaev, M. A. aut Orlov, A. E. aut Enthalten in Russian meteorology and hydrology New York, NY : Allerton Press, 2007 47(2022), 12 vom: Dez., Seite 931-937 (DE-627)531203581 (DE-600)2324879-8 1934-8096 nnns volume:47 year:2022 number:12 month:12 pages:931-937 https://dx.doi.org/10.3103/S1068373922120044 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_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 47 2022 12 12 931-937 |
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Enthalten in Russian meteorology and hydrology 47(2022), 12 vom: Dez., Seite 931-937 volume:47 year:2022 number:12 month:12 pages:931-937 |
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Enthalten in Russian meteorology and hydrology 47(2022), 12 vom: Dez., Seite 931-937 volume:47 year:2022 number:12 month:12 pages:931-937 |
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Measuring the Atmospheric Boundary Layer Parameters with a Coherent Doppler Lidar coherent Doppler lidar (dpeaa)DE-He213 planetary boundary layer (dpeaa)DE-He213 wavelet transform (dpeaa)DE-He213 Haar wavelet (dpeaa)DE-He213 lidar data filtering (dpeaa)DE-He213 |
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measuring the atmospheric boundary layer parameters with a coherent doppler lidar |
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Measuring the Atmospheric Boundary Layer Parameters with a Coherent Doppler Lidar |
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Abstract Coherent Doppler lidars are traditionally used to measure wind speed in the atmospheric boundary layer. However, in addition to wind speed data, coherent Doppler lidars are a source of information on the distribution of the aerosol particle concentration in the atmosphere, which makes it possible to measure the height of the planetary boundary layer, to determine the cloud base and the number of cloud layers, as well as information on the distribution of aerosols along the path or in the scanning sector. The paper considers algorithms for processing data from coherent Doppler lidars to obtain comprehensive information about the parameters of the atmospheric boundary layer. The results of experimental studies and their analysis are presented. © Pleiades Publishing, Ltd. 2023 |
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Abstract Coherent Doppler lidars are traditionally used to measure wind speed in the atmospheric boundary layer. However, in addition to wind speed data, coherent Doppler lidars are a source of information on the distribution of the aerosol particle concentration in the atmosphere, which makes it possible to measure the height of the planetary boundary layer, to determine the cloud base and the number of cloud layers, as well as information on the distribution of aerosols along the path or in the scanning sector. The paper considers algorithms for processing data from coherent Doppler lidars to obtain comprehensive information about the parameters of the atmospheric boundary layer. The results of experimental studies and their analysis are presented. © Pleiades Publishing, Ltd. 2023 |
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Abstract Coherent Doppler lidars are traditionally used to measure wind speed in the atmospheric boundary layer. However, in addition to wind speed data, coherent Doppler lidars are a source of information on the distribution of the aerosol particle concentration in the atmosphere, which makes it possible to measure the height of the planetary boundary layer, to determine the cloud base and the number of cloud layers, as well as information on the distribution of aerosols along the path or in the scanning sector. The paper considers algorithms for processing data from coherent Doppler lidars to obtain comprehensive information about the parameters of the atmospheric boundary layer. The results of experimental studies and their analysis are presented. © Pleiades Publishing, Ltd. 2023 |
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Measuring the Atmospheric Boundary Layer Parameters with a Coherent Doppler Lidar |
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