The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles

<p<A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in situ balloon observations have been performed. The finally selected wavenumber range was 831–832.5 cm<sup<−1</sup<. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40 %–45 %, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 µm<sup<3</sup< cm<sup<−3</sup<, a detection limit of about 0.1–0.2 µm<sup<3</sup< cm<sup<−3</sup< and a vertical resolution of around 3 km. Comparisons with coincident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.</p< Ausführliche Beschreibung

Gespeichert in:

Autor*in:	M. Höpfner [verfasserIn] T. Deshler [verfasserIn] M. Pitts [verfasserIn] L. Poole [verfasserIn] R. Spang [verfasserIn] G. Stiller [verfasserIn] T. von Clarmann [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Übergeordnetes Werk:	In: Atmospheric Measurement Techniques - Copernicus Publications, 2009, 11(2018), Seite 5901-5923
Übergeordnetes Werk:	volume:11 ; year:2018 ; pages:5901-5923

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.5194/amt-11-5901-2018

Katalog-ID:	DOAJ046538941

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allfields	10.5194/amt-11-5901-2018 doi (DE-627)DOAJ046538941 (DE-599)DOAJ26bd314b467d47cbbe310e63191c640b DE-627 ger DE-627 rakwb eng TA170-171 TA715-787 M. Höpfner verfasserin aut The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in situ balloon observations have been performed. The finally selected wavenumber range was 831–832.5 cm<sup<−1</sup<. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40 %–45 %, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 µm<sup<3</sup< cm<sup<−3</sup<, a detection limit of about 0.1–0.2 µm<sup<3</sup< cm<sup<−3</sup< and a vertical resolution of around 3 km. Comparisons with coincident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.</p< Environmental engineering Earthwork. Foundations T. Deshler verfasserin aut M. Pitts verfasserin aut L. Poole verfasserin aut R. Spang verfasserin aut G. Stiller verfasserin aut T. von Clarmann verfasserin aut In Atmospheric Measurement Techniques Copernicus Publications, 2009 11(2018), Seite 5901-5923 (DE-627)605214441 (DE-600)2505596-3 18678548 nnns volume:11 year:2018 pages:5901-5923 https://doi.org/10.5194/amt-11-5901-2018 kostenfrei https://doaj.org/article/26bd314b467d47cbbe310e63191c640b kostenfrei https://www.atmos-meas-tech.net/11/5901/2018/amt-11-5901-2018.pdf kostenfrei https://doaj.org/toc/1867-1381 Journal toc kostenfrei https://doaj.org/toc/1867-8548 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 5901-5923
spelling	10.5194/amt-11-5901-2018 doi (DE-627)DOAJ046538941 (DE-599)DOAJ26bd314b467d47cbbe310e63191c640b DE-627 ger DE-627 rakwb eng TA170-171 TA715-787 M. Höpfner verfasserin aut The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in situ balloon observations have been performed. The finally selected wavenumber range was 831–832.5 cm<sup<−1</sup<. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40 %–45 %, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 µm<sup<3</sup< cm<sup<−3</sup<, a detection limit of about 0.1–0.2 µm<sup<3</sup< cm<sup<−3</sup< and a vertical resolution of around 3 km. Comparisons with coincident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.</p< Environmental engineering Earthwork. Foundations T. Deshler verfasserin aut M. Pitts verfasserin aut L. Poole verfasserin aut R. Spang verfasserin aut G. Stiller verfasserin aut T. von Clarmann verfasserin aut In Atmospheric Measurement Techniques Copernicus Publications, 2009 11(2018), Seite 5901-5923 (DE-627)605214441 (DE-600)2505596-3 18678548 nnns volume:11 year:2018 pages:5901-5923 https://doi.org/10.5194/amt-11-5901-2018 kostenfrei https://doaj.org/article/26bd314b467d47cbbe310e63191c640b kostenfrei https://www.atmos-meas-tech.net/11/5901/2018/amt-11-5901-2018.pdf kostenfrei https://doaj.org/toc/1867-1381 Journal toc kostenfrei https://doaj.org/toc/1867-8548 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 5901-5923
allfields_unstemmed	10.5194/amt-11-5901-2018 doi (DE-627)DOAJ046538941 (DE-599)DOAJ26bd314b467d47cbbe310e63191c640b DE-627 ger DE-627 rakwb eng TA170-171 TA715-787 M. Höpfner verfasserin aut The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in situ balloon observations have been performed. The finally selected wavenumber range was 831–832.5 cm<sup<−1</sup<. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40 %–45 %, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 µm<sup<3</sup< cm<sup<−3</sup<, a detection limit of about 0.1–0.2 µm<sup<3</sup< cm<sup<−3</sup< and a vertical resolution of around 3 km. Comparisons with coincident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.</p< Environmental engineering Earthwork. Foundations T. Deshler verfasserin aut M. Pitts verfasserin aut L. Poole verfasserin aut R. Spang verfasserin aut G. Stiller verfasserin aut T. von Clarmann verfasserin aut In Atmospheric Measurement Techniques Copernicus Publications, 2009 11(2018), Seite 5901-5923 (DE-627)605214441 (DE-600)2505596-3 18678548 nnns volume:11 year:2018 pages:5901-5923 https://doi.org/10.5194/amt-11-5901-2018 kostenfrei https://doaj.org/article/26bd314b467d47cbbe310e63191c640b kostenfrei https://www.atmos-meas-tech.net/11/5901/2018/amt-11-5901-2018.pdf kostenfrei https://doaj.org/toc/1867-1381 Journal toc kostenfrei https://doaj.org/toc/1867-8548 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 5901-5923
allfieldsGer	10.5194/amt-11-5901-2018 doi (DE-627)DOAJ046538941 (DE-599)DOAJ26bd314b467d47cbbe310e63191c640b DE-627 ger DE-627 rakwb eng TA170-171 TA715-787 M. Höpfner verfasserin aut The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in situ balloon observations have been performed. The finally selected wavenumber range was 831–832.5 cm<sup<−1</sup<. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40 %–45 %, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 µm<sup<3</sup< cm<sup<−3</sup<, a detection limit of about 0.1–0.2 µm<sup<3</sup< cm<sup<−3</sup< and a vertical resolution of around 3 km. Comparisons with coincident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.</p< Environmental engineering Earthwork. Foundations T. Deshler verfasserin aut M. Pitts verfasserin aut L. Poole verfasserin aut R. Spang verfasserin aut G. Stiller verfasserin aut T. von Clarmann verfasserin aut In Atmospheric Measurement Techniques Copernicus Publications, 2009 11(2018), Seite 5901-5923 (DE-627)605214441 (DE-600)2505596-3 18678548 nnns volume:11 year:2018 pages:5901-5923 https://doi.org/10.5194/amt-11-5901-2018 kostenfrei https://doaj.org/article/26bd314b467d47cbbe310e63191c640b kostenfrei https://www.atmos-meas-tech.net/11/5901/2018/amt-11-5901-2018.pdf kostenfrei https://doaj.org/toc/1867-1381 Journal toc kostenfrei https://doaj.org/toc/1867-8548 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 5901-5923
allfieldsSound	10.5194/amt-11-5901-2018 doi (DE-627)DOAJ046538941 (DE-599)DOAJ26bd314b467d47cbbe310e63191c640b DE-627 ger DE-627 rakwb eng TA170-171 TA715-787 M. Höpfner verfasserin aut The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in situ balloon observations have been performed. The finally selected wavenumber range was 831–832.5 cm<sup<−1</sup<. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40 %–45 %, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 µm<sup<3</sup< cm<sup<−3</sup<, a detection limit of about 0.1–0.2 µm<sup<3</sup< cm<sup<−3</sup< and a vertical resolution of around 3 km. Comparisons with coincident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.</p< Environmental engineering Earthwork. Foundations T. Deshler verfasserin aut M. Pitts verfasserin aut L. Poole verfasserin aut R. Spang verfasserin aut G. Stiller verfasserin aut T. von Clarmann verfasserin aut In Atmospheric Measurement Techniques Copernicus Publications, 2009 11(2018), Seite 5901-5923 (DE-627)605214441 (DE-600)2505596-3 18678548 nnns volume:11 year:2018 pages:5901-5923 https://doi.org/10.5194/amt-11-5901-2018 kostenfrei https://doaj.org/article/26bd314b467d47cbbe310e63191c640b kostenfrei https://www.atmos-meas-tech.net/11/5901/2018/amt-11-5901-2018.pdf kostenfrei https://doaj.org/toc/1867-1381 Journal toc kostenfrei https://doaj.org/toc/1867-8548 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2018 5901-5923
language	English
source	In Atmospheric Measurement Techniques 11(2018), Seite 5901-5923 volume:11 year:2018 pages:5901-5923
sourceStr	In Atmospheric Measurement Techniques 11(2018), Seite 5901-5923 volume:11 year:2018 pages:5901-5923
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Environmental engineering Earthwork. Foundations
isfreeaccess_bool	true
container_title	Atmospheric Measurement Techniques
authorswithroles_txt_mv	M. Höpfner @@aut@@ T. Deshler @@aut@@ M. Pitts @@aut@@ L. Poole @@aut@@ R. Spang @@aut@@ G. Stiller @@aut@@ T. von Clarmann @@aut@@
publishDateDaySort_date	2018-01-01T00:00:00Z
hierarchy_top_id	605214441
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callnumber-first	T - Technology
author	M. Höpfner
spellingShingle	M. Höpfner misc TA170-171 misc TA715-787 misc Environmental engineering misc Earthwork. Foundations The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles
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topic_title	TA170-171 TA715-787 The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles
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title	The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles
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title_full	The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles
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author_browse	M. Höpfner T. Deshler M. Pitts L. Poole R. Spang G. Stiller T. von Clarmann
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title_sort	mipas/envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles
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title_auth	The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles
abstract	<p<A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in situ balloon observations have been performed. The finally selected wavenumber range was 831–832.5 cm<sup<−1</sup<. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40 %–45 %, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 µm<sup<3</sup< cm<sup<−3</sup<, a detection limit of about 0.1–0.2 µm<sup<3</sup< cm<sup<−3</sup< and a vertical resolution of around 3 km. Comparisons with coincident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.</p<
abstractGer	<p<A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in situ balloon observations have been performed. The finally selected wavenumber range was 831–832.5 cm<sup<−1</sup<. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40 %–45 %, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 µm<sup<3</sup< cm<sup<−3</sup<, a detection limit of about 0.1–0.2 µm<sup<3</sup< cm<sup<−3</sup< and a vertical resolution of around 3 km. Comparisons with coincident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.</p<
abstract_unstemmed	<p<A global data set of vertical profiles of polar stratospheric cloud (PSC) volume density has been derived from Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) space-borne infrared limb measurements between 2002 and 2012. To develop a well characterized and efficient retrieval scheme, systematic tests based on limb-radiance simulations for PSCs from in situ balloon observations have been performed. The finally selected wavenumber range was 831–832.5 cm<sup<−1</sup<. Optical constants of nitric acid trihydrate (NAT) have been used to derive maximum and minimum profiles of volume density which are compatible with MIPAS observations under the assumption of small, non-scattering and larger, scattering PSC particles. These max/min profiles deviate from their mean value at each altitude by about 40 %–45 %, which is attributed as the maximum systematic error of the retrieval. Further, the retrieved volume density profiles are characterized by a random error due to instrumental noise of 0.02–0.05 µm<sup<3</sup< cm<sup<−3</sup<, a detection limit of about 0.1–0.2 µm<sup<3</sup< cm<sup<−3</sup< and a vertical resolution of around 3 km. Comparisons with coincident observations by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) satellite showed good agreement regarding the vertical profile shape. Quantitatively, in the case of supercooled ternary solution (STS) PSCs, the CALIOP dataset fits to the MIPAS retrievals obtained under the assumptions of small particles. Unlike for STS and NAT, in the case of ice PSCs the MIPAS retrievals are limited by the clouds becoming optically thick in the limb-direction. In these cases, the MIPAS volume densities represent lower limits. Among other interesting features, this climatology helps to study quantitatively the on-set of PSC formation very near to the South Pole and the large variability of the PSC volume densities between different Arctic stratospheric winters.</p<
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title_short	The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles
url	https://doi.org/10.5194/amt-11-5901-2018 https://doaj.org/article/26bd314b467d47cbbe310e63191c640b https://www.atmos-meas-tech.net/11/5901/2018/amt-11-5901-2018.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548
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The MIPAS/Envisat climatology (2002–2012) of polar stratospheric cloud volume density profiles

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