Intercomparison of NO.sub.2, O.sub.4, O.sub.3 and HCHO slant column measurements by MAX-DOAS and zenith-sky UV-visible spectrometers during CINDI-2
In September 2016, 36 spectrometers from 24 institutes measured a number of key atmospheric pollutants for a period of 17 d during the Second Cabauw Intercomparison campaign for Nitrogen Dioxide measuring Instruments (CINDI-2) that took place at Cabauw, the Netherlands (51.97.sup." N, 4.93.sup...
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creator | Kreher, Karin Van Roozendael, Michel Hendrick, Francois Apituley, Arnoud Dimitropoulou, Ermioni Frieß, Udo Richter, Andreas Wagner, Thomas Lampel, Johannes Abuhassan, Nader Ang, Li Anguas, Monica Bais, Alkis Benavent, Nuria Bösch, Tim Bognar, Kristof Borovski, Alexander Bruchkouski, Ilya Cede, Alexander Chan, Ka Lok Donner, Sebastian Drosoglou, Theano Fayt, Caroline Finkenzeller, Henning Garcia-Nieto, David Gielen, Clio Gómez-Martín, Laura Hao, Nan Henzing, Bas Herman, Jay R Hermans, Christian Hoque, Syedul Irie, Hitoshi Jin, Junli Johnston, Paul Khayyam Butt, Junaid Khokhar, Fahim Koenig, Theodore K Kuhn, Jonas Kumar, Vinod Liu, Cheng Ma, Jianzhong Merlaud, Alexis Mishra, Abhishek K Müller, Moritz Navarro-Comas, Monica Ostendorf, Mareike Pazmino, Andrea Peters, Enno Pinardi, Gaia Pinharanda, Manuel Piters, Ankie Platt, Ulrich Postylyakov, Oleg Prados-Roman, Cristina Puentedura, Olga Querel, Richard Saiz-Lopez, Alfonso Schönhardt, Anja Schreier, Stefan F Seyler, André Sinha, Vinayak Spinei, Elena Strong, Kimberly Tack, Frederik Tian, Xin Tiefengraber, Martin Tirpitz, Jan-Lukas van Gent, Jeroen Volkamer, Rainer Vrekoussis, Mihalis Wang, Shanshan Wang, Zhuoru Wenig, Mark Wittrock, Folkard Xie, Pinhua H Xu, Jin Yela, Margarita Zhang, Chengxin Zhao, Xiaoyi |
description | In September 2016, 36 spectrometers from 24 institutes measured a number of key atmospheric pollutants for a period of 17 d during the Second Cabauw Intercomparison campaign for Nitrogen Dioxide measuring Instruments (CINDI-2) that took place at Cabauw, the Netherlands (51.97.sup." N, 4.93.sup." E). We report on the outcome of the formal semi-blind intercomparison exercise, which was held under the umbrella of the Network for the Detection of Atmospheric Composition Change (NDACC) and the European Space Agency (ESA). The three major goals of CINDI-2 were (1) to characterise and better understand the differences between a large number of multi-axis differential optical absorption spectroscopy (MAX-DOAS) and zenith-sky DOAS instruments and analysis methods, (2) to define a robust methodology for performance assessment of all participating instruments, and (3) to contribute to a harmonisation of the measurement settings and retrieval methods. This, in turn, creates the capability to produce consistent high-quality ground-based data sets, which are an essential requirement to generate reliable long-term measurement time series suitable for trend analysis and satellite data validation. |
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N, 4.93.sup." E). We report on the outcome of the formal semi-blind intercomparison exercise, which was held under the umbrella of the Network for the Detection of Atmospheric Composition Change (NDACC) and the European Space Agency (ESA). The three major goals of CINDI-2 were (1) to characterise and better understand the differences between a large number of multi-axis differential optical absorption spectroscopy (MAX-DOAS) and zenith-sky DOAS instruments and analysis methods, (2) to define a robust methodology for performance assessment of all participating instruments, and (3) to contribute to a harmonisation of the measurement settings and retrieval methods. 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N, 4.93.sup." E). We report on the outcome of the formal semi-blind intercomparison exercise, which was held under the umbrella of the Network for the Detection of Atmospheric Composition Change (NDACC) and the European Space Agency (ESA). The three major goals of CINDI-2 were (1) to characterise and better understand the differences between a large number of multi-axis differential optical absorption spectroscopy (MAX-DOAS) and zenith-sky DOAS instruments and analysis methods, (2) to define a robust methodology for performance assessment of all participating instruments, and (3) to contribute to a harmonisation of the measurement settings and retrieval methods. This, in turn, creates the capability to produce consistent high-quality ground-based data sets, which are an essential requirement to generate reliable long-term measurement time series suitable for trend analysis and satellite data validation.</description><subject>Analysis</subject><subject>Atmospheric composition</subject><subject>Formaldehyde</subject><subject>Instruments (Equipment)</subject><subject>Measurement</subject><subject>Measuring instruments</subject><subject>Nitrogen dioxide</subject><subject>Nitrogen oxides</subject><subject>Pollutants</subject><subject>Prejudice</subject><subject>Regression analysis</subject><subject>Setting (Literature)</subject><subject>Spectrometers</subject><subject>Spectroscopy</subject><subject>Time</subject><subject>Ultraviolet-visible 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Vrekoussis, Mihalis ; Wang, Shanshan ; Wang, Zhuoru ; Wenig, Mark ; Wittrock, Folkard ; Xie, Pinhua H ; Xu, Jin ; Yela, Margarita ; Zhang, Chengxin ; Zhao, Xiaoyi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g1010-741b327dfc45824def1532baa496c1b2977a49fda3f3d9c28a473d75d719edb23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analysis</topic><topic>Atmospheric composition</topic><topic>Formaldehyde</topic><topic>Instruments (Equipment)</topic><topic>Measurement</topic><topic>Measuring instruments</topic><topic>Nitrogen dioxide</topic><topic>Nitrogen oxides</topic><topic>Pollutants</topic><topic>Prejudice</topic><topic>Regression analysis</topic><topic>Setting (Literature)</topic><topic>Spectrometers</topic><topic>Spectroscopy</topic><topic>Time</topic><topic>Ultraviolet-visible 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Anja</creatorcontrib><creatorcontrib>Schreier, Stefan F</creatorcontrib><creatorcontrib>Seyler, André</creatorcontrib><creatorcontrib>Sinha, Vinayak</creatorcontrib><creatorcontrib>Spinei, Elena</creatorcontrib><creatorcontrib>Strong, Kimberly</creatorcontrib><creatorcontrib>Tack, Frederik</creatorcontrib><creatorcontrib>Tian, Xin</creatorcontrib><creatorcontrib>Tiefengraber, Martin</creatorcontrib><creatorcontrib>Tirpitz, Jan-Lukas</creatorcontrib><creatorcontrib>van Gent, Jeroen</creatorcontrib><creatorcontrib>Volkamer, Rainer</creatorcontrib><creatorcontrib>Vrekoussis, Mihalis</creatorcontrib><creatorcontrib>Wang, Shanshan</creatorcontrib><creatorcontrib>Wang, Zhuoru</creatorcontrib><creatorcontrib>Wenig, Mark</creatorcontrib><creatorcontrib>Wittrock, Folkard</creatorcontrib><creatorcontrib>Xie, Pinhua H</creatorcontrib><creatorcontrib>Xu, Jin</creatorcontrib><creatorcontrib>Yela, Margarita</creatorcontrib><creatorcontrib>Zhang, Chengxin</creatorcontrib><creatorcontrib>Zhao, Xiaoyi</creatorcontrib><collection>Gale In Context: Science</collection><jtitle>Atmospheric measurement techniques</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kreher, Karin</au><au>Van Roozendael, Michel</au><au>Hendrick, Francois</au><au>Apituley, Arnoud</au><au>Dimitropoulou, Ermioni</au><au>Frieß, Udo</au><au>Richter, Andreas</au><au>Wagner, Thomas</au><au>Lampel, Johannes</au><au>Abuhassan, Nader</au><au>Ang, Li</au><au>Anguas, Monica</au><au>Bais, Alkis</au><au>Benavent, Nuria</au><au>Bösch, Tim</au><au>Bognar, Kristof</au><au>Borovski, Alexander</au><au>Bruchkouski, Ilya</au><au>Cede, Alexander</au><au>Chan, Ka Lok</au><au>Donner, Sebastian</au><au>Drosoglou, Theano</au><au>Fayt, Caroline</au><au>Finkenzeller, Henning</au><au>Garcia-Nieto, David</au><au>Gielen, Clio</au><au>Gómez-Martín, Laura</au><au>Hao, Nan</au><au>Henzing, Bas</au><au>Herman, Jay R</au><au>Hermans, Christian</au><au>Hoque, Syedul</au><au>Irie, Hitoshi</au><au>Jin, Junli</au><au>Johnston, Paul</au><au>Khayyam Butt, Junaid</au><au>Khokhar, Fahim</au><au>Koenig, Theodore K</au><au>Kuhn, Jonas</au><au>Kumar, Vinod</au><au>Liu, Cheng</au><au>Ma, Jianzhong</au><au>Merlaud, Alexis</au><au>Mishra, Abhishek K</au><au>Müller, Moritz</au><au>Navarro-Comas, Monica</au><au>Ostendorf, Mareike</au><au>Pazmino, Andrea</au><au>Peters, Enno</au><au>Pinardi, Gaia</au><au>Pinharanda, Manuel</au><au>Piters, Ankie</au><au>Platt, Ulrich</au><au>Postylyakov, Oleg</au><au>Prados-Roman, Cristina</au><au>Puentedura, Olga</au><au>Querel, Richard</au><au>Saiz-Lopez, Alfonso</au><au>Schönhardt, Anja</au><au>Schreier, Stefan F</au><au>Seyler, André</au><au>Sinha, Vinayak</au><au>Spinei, Elena</au><au>Strong, Kimberly</au><au>Tack, Frederik</au><au>Tian, Xin</au><au>Tiefengraber, Martin</au><au>Tirpitz, Jan-Lukas</au><au>van Gent, Jeroen</au><au>Volkamer, Rainer</au><au>Vrekoussis, Mihalis</au><au>Wang, Shanshan</au><au>Wang, Zhuoru</au><au>Wenig, Mark</au><au>Wittrock, Folkard</au><au>Xie, Pinhua H</au><au>Xu, Jin</au><au>Yela, Margarita</au><au>Zhang, Chengxin</au><au>Zhao, Xiaoyi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intercomparison of NO.sub.2, O.sub.4, O.sub.3 and HCHO slant column measurements by MAX-DOAS and zenith-sky UV-visible spectrometers during CINDI-2</atitle><jtitle>Atmospheric measurement techniques</jtitle><date>2020-05-06</date><risdate>2020</risdate><volume>13</volume><issue>5</issue><spage>2169</spage><pages>2169-</pages><issn>1867-1381</issn><eissn>1867-8548</eissn><abstract>In September 2016, 36 spectrometers from 24 institutes measured a number of key atmospheric pollutants for a period of 17 d during the Second Cabauw Intercomparison campaign for Nitrogen Dioxide measuring Instruments (CINDI-2) that took place at Cabauw, the Netherlands (51.97.sup." N, 4.93.sup." E). We report on the outcome of the formal semi-blind intercomparison exercise, which was held under the umbrella of the Network for the Detection of Atmospheric Composition Change (NDACC) and the European Space Agency (ESA). The three major goals of CINDI-2 were (1) to characterise and better understand the differences between a large number of multi-axis differential optical absorption spectroscopy (MAX-DOAS) and zenith-sky DOAS instruments and analysis methods, (2) to define a robust methodology for performance assessment of all participating instruments, and (3) to contribute to a harmonisation of the measurement settings and retrieval methods. This, in turn, creates the capability to produce consistent high-quality ground-based data sets, which are an essential requirement to generate reliable long-term measurement time series suitable for trend analysis and satellite data validation.</abstract><pub>Copernicus GmbH</pub><tpages>2169</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1867-1381 |
ispartof | Atmospheric measurement techniques, 2020-05, Vol.13 (5), p.2169 |
issn | 1867-1381 1867-8548 |
language | eng |
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subjects | Analysis Atmospheric composition Formaldehyde Instruments (Equipment) Measurement Measuring instruments Nitrogen dioxide Nitrogen oxides Pollutants Prejudice Regression analysis Setting (Literature) Spectrometers Spectroscopy Time Ultraviolet-visible spectroscopy |
title | Intercomparison of NO.sub.2, O.sub.4, O.sub.3 and HCHO slant column measurements by MAX-DOAS and zenith-sky UV-visible spectrometers during CINDI-2 |
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