An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing

Abstract Millions of people suffer from health problems due to poor air quality in regions of high particulate pollution. Therefore, this paper proposes for better understanding of the impact of dust storms on both short- and long-term environmental factors that can help in a preferable formulation...
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Autor*in:	Arshad, Rimsha [verfasserIn] Tariq, Salman ul-Haq, Zia

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Dust storms Cyclones CALIPSO HYSPLIT model Remote sensing

Anmerkung:	© The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: Air quality, atmosphere and health - Dordrecht : Springer Netherlands, 2008, 16(2023), 9 vom: 26. Mai, Seite 1737-1760
Übergeordnetes Werk:	volume:16 ; year:2023 ; number:9 ; day:26 ; month:05 ; pages:1737-1760

Links:	Volltext

DOI / URN:	10.1007/s11869-023-01370-9

Katalog-ID:	SPR052990729

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520			\|a Abstract Millions of people suffer from health problems due to poor air quality in regions of high particulate pollution. Therefore, this paper proposes for better understanding of the impact of dust storms on both short- and long-term environmental factors that can help in a preferable formulation of warning and prediction scenarios in arid regions. We evaluate the effect of dust storms on the optical properties of aerosols and meteorological parameters by employing both ground-based and satellite remote sensing approaches. For this, we use AERosol RObotic NETwork (AERONET), MODerate resolution Imaging Spectroradiometer (MODIS), Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), Ozone Monitoring Instrument (OMI), Suomi National Polar-orbiting Partnership (S-NPP), and Sentinel-5 Precursor (S5P) to retrieve aerosol optical properties from 15 May 2021 to 20 May 2021 over Karachi. At 550nm, the instantaneous maximum values of aerosol optical depth (AOD) are measured to be ~0.8, and 0.59 on 16 May 2021, and the lowest values of Ångström Exponent (AE) are discovered to be ~0.2, and ~0.26 by Aqua-MODIS and AERONET respectively. Such observations are attributed to dust aerosols over Karachi; these values are more than those that might be expected on an ordinary day. We also found S5P and OMI retrieved ultraviolet aerosol index (UVAI) of about 1 and ~1.9 on 17 May 2021 respectively which indicate the presence of absorbing (dust) aerosols. Subtypes of aerosols derived by CALIPSO with vertical profile taken on 17 May 2021 segregate the widespread aerosol burden as contaminated dust particles over surrounding regions of Karachi (24.48–30.59° N, 69.01–70.56° E).
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allfields	10.1007/s11869-023-01370-9 doi (DE-627)SPR052990729 (SPR)s11869-023-01370-9-e DE-627 ger DE-627 rakwb eng Arshad, Rimsha verfasserin aut An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Millions of people suffer from health problems due to poor air quality in regions of high particulate pollution. Therefore, this paper proposes for better understanding of the impact of dust storms on both short- and long-term environmental factors that can help in a preferable formulation of warning and prediction scenarios in arid regions. We evaluate the effect of dust storms on the optical properties of aerosols and meteorological parameters by employing both ground-based and satellite remote sensing approaches. For this, we use AERosol RObotic NETwork (AERONET), MODerate resolution Imaging Spectroradiometer (MODIS), Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), Ozone Monitoring Instrument (OMI), Suomi National Polar-orbiting Partnership (S-NPP), and Sentinel-5 Precursor (S5P) to retrieve aerosol optical properties from 15 May 2021 to 20 May 2021 over Karachi. At 550nm, the instantaneous maximum values of aerosol optical depth (AOD) are measured to be ~0.8, and 0.59 on 16 May 2021, and the lowest values of Ångström Exponent (AE) are discovered to be ~0.2, and ~0.26 by Aqua-MODIS and AERONET respectively. Such observations are attributed to dust aerosols over Karachi; these values are more than those that might be expected on an ordinary day. We also found S5P and OMI retrieved ultraviolet aerosol index (UVAI) of about 1 and ~1.9 on 17 May 2021 respectively which indicate the presence of absorbing (dust) aerosols. Subtypes of aerosols derived by CALIPSO with vertical profile taken on 17 May 2021 segregate the widespread aerosol burden as contaminated dust particles over surrounding regions of Karachi (24.48–30.59° N, 69.01–70.56° E). Dust storms (dpeaa)DE-He213 Cyclones (dpeaa)DE-He213 CALIPSO (dpeaa)DE-He213 HYSPLIT model (dpeaa)DE-He213 Remote sensing (dpeaa)DE-He213 Tariq, Salman aut ul-Haq, Zia aut Enthalten in Air quality, atmosphere and health Dordrecht : Springer Netherlands, 2008 16(2023), 9 vom: 26. Mai, Seite 1737-1760 (DE-627)565516515 (DE-600)2424084-9 1873-9326 nnns volume:16 year:2023 number:9 day:26 month:05 pages:1737-1760 https://dx.doi.org/10.1007/s11869-023-01370-9 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 16 2023 9 26 05 1737-1760
spelling	10.1007/s11869-023-01370-9 doi (DE-627)SPR052990729 (SPR)s11869-023-01370-9-e DE-627 ger DE-627 rakwb eng Arshad, Rimsha verfasserin aut An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Millions of people suffer from health problems due to poor air quality in regions of high particulate pollution. Therefore, this paper proposes for better understanding of the impact of dust storms on both short- and long-term environmental factors that can help in a preferable formulation of warning and prediction scenarios in arid regions. We evaluate the effect of dust storms on the optical properties of aerosols and meteorological parameters by employing both ground-based and satellite remote sensing approaches. For this, we use AERosol RObotic NETwork (AERONET), MODerate resolution Imaging Spectroradiometer (MODIS), Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), Ozone Monitoring Instrument (OMI), Suomi National Polar-orbiting Partnership (S-NPP), and Sentinel-5 Precursor (S5P) to retrieve aerosol optical properties from 15 May 2021 to 20 May 2021 over Karachi. At 550nm, the instantaneous maximum values of aerosol optical depth (AOD) are measured to be ~0.8, and 0.59 on 16 May 2021, and the lowest values of Ångström Exponent (AE) are discovered to be ~0.2, and ~0.26 by Aqua-MODIS and AERONET respectively. Such observations are attributed to dust aerosols over Karachi; these values are more than those that might be expected on an ordinary day. We also found S5P and OMI retrieved ultraviolet aerosol index (UVAI) of about 1 and ~1.9 on 17 May 2021 respectively which indicate the presence of absorbing (dust) aerosols. Subtypes of aerosols derived by CALIPSO with vertical profile taken on 17 May 2021 segregate the widespread aerosol burden as contaminated dust particles over surrounding regions of Karachi (24.48–30.59° N, 69.01–70.56° E). Dust storms (dpeaa)DE-He213 Cyclones (dpeaa)DE-He213 CALIPSO (dpeaa)DE-He213 HYSPLIT model (dpeaa)DE-He213 Remote sensing (dpeaa)DE-He213 Tariq, Salman aut ul-Haq, Zia aut Enthalten in Air quality, atmosphere and health Dordrecht : Springer Netherlands, 2008 16(2023), 9 vom: 26. Mai, Seite 1737-1760 (DE-627)565516515 (DE-600)2424084-9 1873-9326 nnns volume:16 year:2023 number:9 day:26 month:05 pages:1737-1760 https://dx.doi.org/10.1007/s11869-023-01370-9 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 16 2023 9 26 05 1737-1760
allfields_unstemmed	10.1007/s11869-023-01370-9 doi (DE-627)SPR052990729 (SPR)s11869-023-01370-9-e DE-627 ger DE-627 rakwb eng Arshad, Rimsha verfasserin aut An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Millions of people suffer from health problems due to poor air quality in regions of high particulate pollution. Therefore, this paper proposes for better understanding of the impact of dust storms on both short- and long-term environmental factors that can help in a preferable formulation of warning and prediction scenarios in arid regions. We evaluate the effect of dust storms on the optical properties of aerosols and meteorological parameters by employing both ground-based and satellite remote sensing approaches. For this, we use AERosol RObotic NETwork (AERONET), MODerate resolution Imaging Spectroradiometer (MODIS), Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), Ozone Monitoring Instrument (OMI), Suomi National Polar-orbiting Partnership (S-NPP), and Sentinel-5 Precursor (S5P) to retrieve aerosol optical properties from 15 May 2021 to 20 May 2021 over Karachi. At 550nm, the instantaneous maximum values of aerosol optical depth (AOD) are measured to be ~0.8, and 0.59 on 16 May 2021, and the lowest values of Ångström Exponent (AE) are discovered to be ~0.2, and ~0.26 by Aqua-MODIS and AERONET respectively. Such observations are attributed to dust aerosols over Karachi; these values are more than those that might be expected on an ordinary day. We also found S5P and OMI retrieved ultraviolet aerosol index (UVAI) of about 1 and ~1.9 on 17 May 2021 respectively which indicate the presence of absorbing (dust) aerosols. Subtypes of aerosols derived by CALIPSO with vertical profile taken on 17 May 2021 segregate the widespread aerosol burden as contaminated dust particles over surrounding regions of Karachi (24.48–30.59° N, 69.01–70.56° E). Dust storms (dpeaa)DE-He213 Cyclones (dpeaa)DE-He213 CALIPSO (dpeaa)DE-He213 HYSPLIT model (dpeaa)DE-He213 Remote sensing (dpeaa)DE-He213 Tariq, Salman aut ul-Haq, Zia aut Enthalten in Air quality, atmosphere and health Dordrecht : Springer Netherlands, 2008 16(2023), 9 vom: 26. Mai, Seite 1737-1760 (DE-627)565516515 (DE-600)2424084-9 1873-9326 nnns volume:16 year:2023 number:9 day:26 month:05 pages:1737-1760 https://dx.doi.org/10.1007/s11869-023-01370-9 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 16 2023 9 26 05 1737-1760
allfieldsGer	10.1007/s11869-023-01370-9 doi (DE-627)SPR052990729 (SPR)s11869-023-01370-9-e DE-627 ger DE-627 rakwb eng Arshad, Rimsha verfasserin aut An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Millions of people suffer from health problems due to poor air quality in regions of high particulate pollution. Therefore, this paper proposes for better understanding of the impact of dust storms on both short- and long-term environmental factors that can help in a preferable formulation of warning and prediction scenarios in arid regions. We evaluate the effect of dust storms on the optical properties of aerosols and meteorological parameters by employing both ground-based and satellite remote sensing approaches. For this, we use AERosol RObotic NETwork (AERONET), MODerate resolution Imaging Spectroradiometer (MODIS), Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), Ozone Monitoring Instrument (OMI), Suomi National Polar-orbiting Partnership (S-NPP), and Sentinel-5 Precursor (S5P) to retrieve aerosol optical properties from 15 May 2021 to 20 May 2021 over Karachi. At 550nm, the instantaneous maximum values of aerosol optical depth (AOD) are measured to be ~0.8, and 0.59 on 16 May 2021, and the lowest values of Ångström Exponent (AE) are discovered to be ~0.2, and ~0.26 by Aqua-MODIS and AERONET respectively. Such observations are attributed to dust aerosols over Karachi; these values are more than those that might be expected on an ordinary day. We also found S5P and OMI retrieved ultraviolet aerosol index (UVAI) of about 1 and ~1.9 on 17 May 2021 respectively which indicate the presence of absorbing (dust) aerosols. Subtypes of aerosols derived by CALIPSO with vertical profile taken on 17 May 2021 segregate the widespread aerosol burden as contaminated dust particles over surrounding regions of Karachi (24.48–30.59° N, 69.01–70.56° E). Dust storms (dpeaa)DE-He213 Cyclones (dpeaa)DE-He213 CALIPSO (dpeaa)DE-He213 HYSPLIT model (dpeaa)DE-He213 Remote sensing (dpeaa)DE-He213 Tariq, Salman aut ul-Haq, Zia aut Enthalten in Air quality, atmosphere and health Dordrecht : Springer Netherlands, 2008 16(2023), 9 vom: 26. Mai, Seite 1737-1760 (DE-627)565516515 (DE-600)2424084-9 1873-9326 nnns volume:16 year:2023 number:9 day:26 month:05 pages:1737-1760 https://dx.doi.org/10.1007/s11869-023-01370-9 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 16 2023 9 26 05 1737-1760
allfieldsSound	10.1007/s11869-023-01370-9 doi (DE-627)SPR052990729 (SPR)s11869-023-01370-9-e DE-627 ger DE-627 rakwb eng Arshad, Rimsha verfasserin aut An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Millions of people suffer from health problems due to poor air quality in regions of high particulate pollution. Therefore, this paper proposes for better understanding of the impact of dust storms on both short- and long-term environmental factors that can help in a preferable formulation of warning and prediction scenarios in arid regions. We evaluate the effect of dust storms on the optical properties of aerosols and meteorological parameters by employing both ground-based and satellite remote sensing approaches. For this, we use AERosol RObotic NETwork (AERONET), MODerate resolution Imaging Spectroradiometer (MODIS), Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), Ozone Monitoring Instrument (OMI), Suomi National Polar-orbiting Partnership (S-NPP), and Sentinel-5 Precursor (S5P) to retrieve aerosol optical properties from 15 May 2021 to 20 May 2021 over Karachi. At 550nm, the instantaneous maximum values of aerosol optical depth (AOD) are measured to be ~0.8, and 0.59 on 16 May 2021, and the lowest values of Ångström Exponent (AE) are discovered to be ~0.2, and ~0.26 by Aqua-MODIS and AERONET respectively. Such observations are attributed to dust aerosols over Karachi; these values are more than those that might be expected on an ordinary day. We also found S5P and OMI retrieved ultraviolet aerosol index (UVAI) of about 1 and ~1.9 on 17 May 2021 respectively which indicate the presence of absorbing (dust) aerosols. Subtypes of aerosols derived by CALIPSO with vertical profile taken on 17 May 2021 segregate the widespread aerosol burden as contaminated dust particles over surrounding regions of Karachi (24.48–30.59° N, 69.01–70.56° E). Dust storms (dpeaa)DE-He213 Cyclones (dpeaa)DE-He213 CALIPSO (dpeaa)DE-He213 HYSPLIT model (dpeaa)DE-He213 Remote sensing (dpeaa)DE-He213 Tariq, Salman aut ul-Haq, Zia aut Enthalten in Air quality, atmosphere and health Dordrecht : Springer Netherlands, 2008 16(2023), 9 vom: 26. Mai, Seite 1737-1760 (DE-627)565516515 (DE-600)2424084-9 1873-9326 nnns volume:16 year:2023 number:9 day:26 month:05 pages:1737-1760 https://dx.doi.org/10.1007/s11869-023-01370-9 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 16 2023 9 26 05 1737-1760
language	English
source	Enthalten in Air quality, atmosphere and health 16(2023), 9 vom: 26. Mai, Seite 1737-1760 volume:16 year:2023 number:9 day:26 month:05 pages:1737-1760
sourceStr	Enthalten in Air quality, atmosphere and health 16(2023), 9 vom: 26. Mai, Seite 1737-1760 volume:16 year:2023 number:9 day:26 month:05 pages:1737-1760
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Dust storms Cyclones CALIPSO HYSPLIT model Remote sensing
isfreeaccess_bool	false
container_title	Air quality, atmosphere and health
authorswithroles_txt_mv	Arshad, Rimsha @@aut@@ Tariq, Salman @@aut@@ ul-Haq, Zia @@aut@@
publishDateDaySort_date	2023-05-26T00:00:00Z
hierarchy_top_id	565516515
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language_de	englisch
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author	Arshad, Rimsha
spellingShingle	Arshad, Rimsha misc Dust storms misc Cyclones misc CALIPSO misc HYSPLIT model misc Remote sensing An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing
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topic_title	An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing Dust storms (dpeaa)DE-He213 Cyclones (dpeaa)DE-He213 CALIPSO (dpeaa)DE-He213 HYSPLIT model (dpeaa)DE-He213 Remote sensing (dpeaa)DE-He213
topic	misc Dust storms misc Cyclones misc CALIPSO misc HYSPLIT model misc Remote sensing
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title	An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing
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title_full	An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing
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author_browse	Arshad, Rimsha Tariq, Salman ul-Haq, Zia
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title_sort	analysis of aerosol properties during a dust storm due to the tauktae cyclone using remote sensing
title_auth	An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing
abstract	Abstract Millions of people suffer from health problems due to poor air quality in regions of high particulate pollution. Therefore, this paper proposes for better understanding of the impact of dust storms on both short- and long-term environmental factors that can help in a preferable formulation of warning and prediction scenarios in arid regions. We evaluate the effect of dust storms on the optical properties of aerosols and meteorological parameters by employing both ground-based and satellite remote sensing approaches. For this, we use AERosol RObotic NETwork (AERONET), MODerate resolution Imaging Spectroradiometer (MODIS), Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), Ozone Monitoring Instrument (OMI), Suomi National Polar-orbiting Partnership (S-NPP), and Sentinel-5 Precursor (S5P) to retrieve aerosol optical properties from 15 May 2021 to 20 May 2021 over Karachi. At 550nm, the instantaneous maximum values of aerosol optical depth (AOD) are measured to be ~0.8, and 0.59 on 16 May 2021, and the lowest values of Ångström Exponent (AE) are discovered to be ~0.2, and ~0.26 by Aqua-MODIS and AERONET respectively. Such observations are attributed to dust aerosols over Karachi; these values are more than those that might be expected on an ordinary day. We also found S5P and OMI retrieved ultraviolet aerosol index (UVAI) of about 1 and ~1.9 on 17 May 2021 respectively which indicate the presence of absorbing (dust) aerosols. Subtypes of aerosols derived by CALIPSO with vertical profile taken on 17 May 2021 segregate the widespread aerosol burden as contaminated dust particles over surrounding regions of Karachi (24.48–30.59° N, 69.01–70.56° E). © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Abstract Millions of people suffer from health problems due to poor air quality in regions of high particulate pollution. Therefore, this paper proposes for better understanding of the impact of dust storms on both short- and long-term environmental factors that can help in a preferable formulation of warning and prediction scenarios in arid regions. We evaluate the effect of dust storms on the optical properties of aerosols and meteorological parameters by employing both ground-based and satellite remote sensing approaches. For this, we use AERosol RObotic NETwork (AERONET), MODerate resolution Imaging Spectroradiometer (MODIS), Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), Ozone Monitoring Instrument (OMI), Suomi National Polar-orbiting Partnership (S-NPP), and Sentinel-5 Precursor (S5P) to retrieve aerosol optical properties from 15 May 2021 to 20 May 2021 over Karachi. At 550nm, the instantaneous maximum values of aerosol optical depth (AOD) are measured to be ~0.8, and 0.59 on 16 May 2021, and the lowest values of Ångström Exponent (AE) are discovered to be ~0.2, and ~0.26 by Aqua-MODIS and AERONET respectively. Such observations are attributed to dust aerosols over Karachi; these values are more than those that might be expected on an ordinary day. We also found S5P and OMI retrieved ultraviolet aerosol index (UVAI) of about 1 and ~1.9 on 17 May 2021 respectively which indicate the presence of absorbing (dust) aerosols. Subtypes of aerosols derived by CALIPSO with vertical profile taken on 17 May 2021 segregate the widespread aerosol burden as contaminated dust particles over surrounding regions of Karachi (24.48–30.59° N, 69.01–70.56° E). © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Abstract Millions of people suffer from health problems due to poor air quality in regions of high particulate pollution. Therefore, this paper proposes for better understanding of the impact of dust storms on both short- and long-term environmental factors that can help in a preferable formulation of warning and prediction scenarios in arid regions. We evaluate the effect of dust storms on the optical properties of aerosols and meteorological parameters by employing both ground-based and satellite remote sensing approaches. For this, we use AERosol RObotic NETwork (AERONET), MODerate resolution Imaging Spectroradiometer (MODIS), Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), Ozone Monitoring Instrument (OMI), Suomi National Polar-orbiting Partnership (S-NPP), and Sentinel-5 Precursor (S5P) to retrieve aerosol optical properties from 15 May 2021 to 20 May 2021 over Karachi. At 550nm, the instantaneous maximum values of aerosol optical depth (AOD) are measured to be ~0.8, and 0.59 on 16 May 2021, and the lowest values of Ångström Exponent (AE) are discovered to be ~0.2, and ~0.26 by Aqua-MODIS and AERONET respectively. Such observations are attributed to dust aerosols over Karachi; these values are more than those that might be expected on an ordinary day. We also found S5P and OMI retrieved ultraviolet aerosol index (UVAI) of about 1 and ~1.9 on 17 May 2021 respectively which indicate the presence of absorbing (dust) aerosols. Subtypes of aerosols derived by CALIPSO with vertical profile taken on 17 May 2021 segregate the widespread aerosol burden as contaminated dust particles over surrounding regions of Karachi (24.48–30.59° N, 69.01–70.56° E). © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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container_issue	9
title_short	An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing
url	https://dx.doi.org/10.1007/s11869-023-01370-9
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author2	Tariq, Salman ul-Haq, Zia
author2Str	Tariq, Salman ul-Haq, Zia
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doi_str	10.1007/s11869-023-01370-9
up_date	2024-07-03T16:16:03.675Z
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An analysis of aerosol properties during a dust storm due to the TAUKTAE cyclone using remote sensing

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