Search

Your search keyword '"Strong, Kimberly"' showing total 718 results
Start Over Author "Strong, Kimberly"
718 results on '"Strong, Kimberly"'

202. Evaluation of MOPITT Version 7 joint TIR–NIR X<sub>CO</sub> retrievals with TCCON

Author

Hedelius, Jacob K., primary, He, Tai-Long, additional, Jones, Dylan B. A., additional, Baier, Bianca C., additional, Buchholz, Rebecca R., additional, De Mazière, Martine, additional, Deutscher, Nicholas M., additional, Dubey, Manvendra K., additional, Feist, Dietrich G., additional, Griffith, David W. T., additional, Hase, Frank, additional, Iraci, Laura T., additional, Jeseck, Pascal, additional, Kiel, Matthäus, additional, Kivi, Rigel, additional, Liu, Cheng, additional, Morino, Isamu, additional, Notholt, Justus, additional, Oh, Young-Suk, additional, Ohyama, Hirofumi, additional, Pollard, David F., additional, Rettinger, Markus, additional, Roche, Sébastien, additional, Roehl, Coleen M., additional, Schneider, Matthias, additional, Shiomi, Kei, additional, Strong, Kimberly, additional, Sussmann, Ralf, additional, Sweeney, Colm, additional, Té, Yao, additional, Uchino, Osamu, additional, Velazco, Voltaire A., additional, Wang, Wei, additional, Warneke, Thorsten, additional, Wennberg, Paul O., additional, Worden, Helen M., additional, and Wunch, Debra, additional

Published
2019
Full Text
View/download PDF

203. Unprecedented Atmospheric Ammonia Concentrations Detected in the High Arctic From the 2017 Canadian Wildfires

Author

Lutsch, Erik, primary, Strong, Kimberly, additional, Jones, Dylan B. A., additional, Ortega, Ivan, additional, Hannigan, James W., additional, Dammers, Enrico, additional, Shephard, Mark W., additional, Morris, Eleanor, additional, Murphy, Killian, additional, Evans, Mathew J., additional, Parrington, Mark, additional, Whitburn, Simon, additional, Van Damme, Martin, additional, Clarisse, Lieven, additional, Coheur, Pierre‐Francois, additional, Clerbaux, Cathy, additional, Croft, Betty, additional, Martin, Randall V., additional, Pierce, Jeffrey R., additional, and Fisher, Jenny A., additional

Published
2019
Full Text
View/download PDF

204. Comparison of ground-based and satellite measurements of water vapour vertical profiles over Ellesmere Island, Nunavut

Author

Weaver, Dan, primary, Strong, Kimberly, additional, Walker, Kaley A., additional, Sioris, Chris, additional, Schneider, Matthias, additional, McElroy, C. Thomas, additional, Vömel, Holger, additional, Sommer, Michael, additional, Weigel, Katja, additional, Rozanov, Alexei, additional, Burrows, John P., additional, Read, William G., additional, Fishbein, Evan, additional, and Stiller, Gabriele, additional

Published
2019
Full Text
View/download PDF

205. The Atmospheric Imaging Mission for Northern Regions: AIM-North

Author

Nassar, Ray, primary, McLinden, Chris, additional, Sioris, Christopher E., additional, McElroy, C. T., additional, Mendonca, Joseph, additional, Tamminen, Johanna, additional, MacDonald, Cameron G., additional, Adams, Cristen, additional, Boisvenue, Céline, additional, Bourassa, Adam, additional, Cooney, Ryan, additional, Degenstein, Doug, additional, Drolet, Guillaume, additional, Garand, Louis, additional, Girard, Ralph, additional, Johnson, Markey, additional, Jones, Dylan B.A., additional, Kolonjari, Felicia, additional, Kuwahara, Bruce, additional, Martin, Randall V., additional, Miller, Charles E., additional, O’Neill, Norman, additional, Riihelä, Aku, additional, Roche, Sébastien, additional, Sander, Stanley P., additional, Simpson, William R., additional, Singh, Gurpreet, additional, Strong, Kimberly, additional, Trishchenko, Alexander P., additional, van Mierlo, Helena, additional, Zanjani, Zahra Vaziri, additional, Walker, Kaley A., additional, and Wunch, Debra, additional

Published
2019
Full Text
View/download PDF

206. Evaluating different methods for elevation calibration of MAX-DOAS instruments during the CINDI-2 campaign

Author

Donner, Sebastian, primary, Kuhn, Jonas, additional, Van Roozendael, Michel, additional, Bais, Alkiviadis, additional, Beirle, Steffen, additional, Bösch, Tim, additional, Bognar, Kristof, additional, Bruchkousky, Ilya, additional, Chan, Ka Lok, additional, Drosoglou, Theano, additional, Fayt, Caroline, additional, Frieß, Udo, additional, Hendrick, François, additional, Hermans, Christian, additional, Jin, Junli, additional, Li, Ang, additional, Ma, Jianzhong, additional, Peters, Enno, additional, Pinardi, Gaia, additional, Richter, Andreas, additional, Schreier, Stefan F., additional, Seyler, André, additional, Strong, Kimberly, additional, Tirpitz, Jan-Lukas, additional, Wang, Yang, additional, Xie, Pinhua, additional, Xu, Jin, additional, Zhao, Xiaoyi, additional, and Wagner, Thomas, additional

Published
2019
Full Text
View/download PDF

207. Supplementary material to "Evaluation of MOPITT version 7 joint TIR-NIR XCO retrievals with TCCON"

Author

Hedelius, Jacob K., primary, He, Tai-Long, additional, Jones, Dylan B. A., additional, Buchholz, Rebecca R., additional, De Mazière, Martine, additional, Deutscher, Nicholas M., additional, Dubey, Manvendra K., additional, Feist, Dietrich G., additional, Griffith, David W. T., additional, Hase, Frank, additional, Iraci, Laura T., additional, Jeseck, Pascal, additional, Kiel, Matthäus, additional, Kivi, Rigel, additional, Liu, Cheng, additional, Morino, Isamu, additional, Notholt, Justus, additional, Oh, Young-Suk, additional, Ohyama, Hirofumi, additional, Pollard, David F., additional, Rettinger, Markus, additional, Roche, Sébastien, additional, Roehl, Coleen M., additional, Schneider, Matthias, additional, Shiomi, Kei, additional, Strong, Kimberly, additional, Sussmann, Ralf, additional, Sweeney, Colm, additional, Té, Yao, additional, Uchino, Osamu, additional, Velazco, Voltaire A., additional, Wang, Wei, additional, Warneke, Thorsten, additional, Wennberg, Paul O., additional, Worden, Helen M., additional, and Wunch, Debra, additional

Published
2019
Full Text
View/download PDF

208. Intercomparison of NO2, O4, O3 and HCHO slant column measurements by MAX-DOAS and zenith-sky UV-Visible spectrometers during the CINDI-2 campaign

Author

Kreher, Karin, primary, Van Roozendael, Michel, additional, Hendrick, Francois, additional, Apituley, Arnoud, additional, Dimitropoulou, Ermioni, additional, Frieß, Udo, additional, Richter, Andreas, additional, Wagner, Thomas, additional, Abuhassan, Nader, additional, Ang, Li, additional, Anguas, Monica, additional, Bais, Alkis, additional, Benavent, Nuria, additional, Bösch, Tim, additional, Bognar, Kristof, additional, Borovski, Alexander, additional, Bruchkouski, Ilya, additional, Cede, Alexander, additional, Chan, Ka L., additional, Donner, Sebastian, additional, Drosoglou, Theano, additional, Fayt, Caroline, additional, Finkenzeller, Henning, additional, Garcia-Nieto, David, additional, Gielen, Clio, additional, Gómez-Martín, Laura, additional, Hao, Nan, additional, Herman, Jay R., additional, Hermans, Christian, additional, Hoque, Syedul, additional, Irie, Hitoshi, additional, Jin, Junli, additional, Johnston, Paul, additional, Khayyam Butt, Junaid, additional, Khokhar, Fahim, additional, Koenig, Theodore K., additional, Kuhn, Jonas, additional, Kumar, Vinod, additional, Lampel, Johannes, additional, Liu, Cheng, additional, Ma, Jianzhong, additional, Merlaud, Alexis, additional, Mishra, Abhishek K., additional, Müller, Moritz, additional, Navarro-Comas, Monica, additional, Ostendorf, Mareike, additional, Pazmino, Andrea, additional, Peters, Enno, additional, Pinardi, Gaia, additional, Pinharanda, Manuel, additional, Piters, Ankie, additional, Platt, Ulrich, additional, Postylyakov, Oleg, additional, Prados-Roman, Cristina, additional, Puentedura, Olga, additional, Querel, Richard, additional, Saiz-Lopez, Alfonso, additional, Schönhardt, Anja, additional, Schreier, Stefan F., additional, Seyler, Andre, additional, Sinha, Vinayak, additional, Spinei, Elena, additional, Strong, Kimberly, additional, Tack, Frederik, additional, Tian, Xin, additional, Tiefengraber, Martin, additional, Tirpitz, Jan-Lukas, additional, van Gent, Jeron, additional, Volkamer, Rainer, additional, Vrekoussis, Mihalis, additional, Wang, Shanshan, additional, Wang, Zhuoru, additional, Wenig, Mark, additional, Wittrock, Folkard, additional, Xie, Pinhua H., additional, Xu, Jin, additional, Yela, Margarita, additional, Zhang, Chengxin, additional, and Zhao, Xiaoyi, additional

Published
2019
Full Text
View/download PDF

209. Supplementary material to "Intercomparison of NO2, O4, O3 and HCHO slant column measurements by MAX-DOAS and zenith-sky UV-Visible spectrometers during the CINDI-2 campaign"

Author

Kreher, Karin, primary, Van Roozendael, Michel, additional, Hendrick, Francois, additional, Apituley, Arnoud, additional, Dimitropoulou, Ermioni, additional, Frieß, Udo, additional, Richter, Andreas, additional, Wagner, Thomas, additional, Abuhassan, Nader, additional, Ang, Li, additional, Anguas, Monica, additional, Bais, Alkis, additional, Benavent, Nuria, additional, Bösch, Tim, additional, Bognar, Kristof, additional, Borovski, Alexander, additional, Bruchkouski, Ilya, additional, Cede, Alexander, additional, Chan, Ka L., additional, Donner, Sebastian, additional, Drosoglou, Theano, additional, Fayt, Caroline, additional, Finkenzeller, Henning, additional, Garcia-Nieto, David, additional, Gielen, Clio, additional, Gómez-Martín, Laura, additional, Hao, Nan, additional, Herman, Jay R., additional, Hermans, Christian, additional, Hoque, Syedul, additional, Irie, Hitoshi, additional, Jin, Junli, additional, Johnston, Paul, additional, Khayyam Butt, Junaid, additional, Khokhar, Fahim, additional, Koenig, Theodore K., additional, Kuhn, Jonas, additional, Kumar, Vinod, additional, Lampel, Johannes, additional, Liu, Cheng, additional, Ma, Jianzhong, additional, Merlaud, Alexis, additional, Mishra, Abhishek K., additional, Müller, Moritz, additional, Navarro-Comas, Monica, additional, Ostendorf, Mareike, additional, Pazmino, Andrea, additional, Peters, Enno, additional, Pinardi, Gaia, additional, Pinharanda, Manuel, additional, Piters, Ankie, additional, Platt, Ulrich, additional, Postylyakov, Oleg, additional, Prados-Roman, Cristina, additional, Puentedura, Olga, additional, Querel, Richard, additional, Saiz-Lopez, Alfonso, additional, Schönhardt, Anja, additional, Schreier, Stefan F., additional, Seyler, Andre, additional, Sinha, Vinayak, additional, Spinei, Elena, additional, Strong, Kimberly, additional, Tack, Frederik, additional, Tian, Xin, additional, Tiefengraber, Martin, additional, Tirpitz, Jan-Lukas, additional, van Gent, Jeron, additional, Volkamer, Rainer, additional, Vrekoussis, Mihalis, additional, Wang, Shanshan, additional, Wang, Zhuoru, additional, Wenig, Mark, additional, Wittrock, Folkard, additional, Xie, Pinhua H., additional, Xu, Jin, additional, Yela, Margarita, additional, Zhang, Chengxin, additional, and Zhao, Xiaoyi, additional

Published
2019
Full Text
View/download PDF

210. Characterization of aerosol growth events over Ellesmere Island during the summers of 2015 and 2016

Author

Tremblay, Samantha, primary, Picard, Jean-Christophe, additional, Bachelder, Jill O., additional, Lutsch, Erik, additional, Strong, Kimberly, additional, Fogal, Pierre, additional, Leaitch, W. Richard, additional, Sharma, Sangeeta, additional, Kolonjari, Felicia, additional, Cox, Christopher J., additional, Chang, Rachel Y.-W., additional, and Hayes, Patrick L., additional

Published
2019
Full Text
View/download PDF

215. Detection of the long-range transport of wildfire pollution to the Arctic using a network of ground-based FTIR spectrometers, satellite observations and model result

Author

Lutsch, Erik, Conway, Stephanie, Strong, Kimberly, B. A. Jones, Dylan, Drummond, James R., Ortega, Ivan, Hannigan, James W., Makarova, Maria, Notholt, Justus, Blumenstock, Thomas, Sussmann, Ralf, Mahieu, Emmanuel, Kasai, Yasuko, Clerbaux, Cathy, Department of Physics [Toronto], University of Toronto, Department of Physics and Atmospheric Science [Halifax], Dalhousie University [Halifax], National Center for Atmospheric Research [Boulder] (NCAR), St Petersburg State University (SPbU), Institute of Environmental Physics [Bremen] (IUP), University of Bremen, Institute for Meteorology and Climate Research (IMK), Karlsruhe Institute of Technology (KIT), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT), Institut d'Astrophysique et de Géophysique [Liège], Université de Liège, National Institute of Information and Communications Technology [Tokyo, Japan] (NICT), Spectroscopie de l'atmosphère, Service de Chimie Quantique et Photophysique, Université libre de Bruxelles (ULB), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDE]Environmental Sciences
Abstract

International audience; We present a multi-year time series of the total columns of carbon monoxide (CO), hydrogen cyanide (HCN) and ethane (C2H6) obtained by Fourier Transform Infrared (FTIR) spectrometer measurements at nine sites. Six are high-latitude sites: Eureka, Nunavut; Ny Alesund, Norway; Thule, Greenland; Kiruna, Sweden; Poker Flat, Alaska and St. Petersburg, Russia and three are mid-latitude sites; Zugspitze, Germany; Jungfraujoch, Switzerland and Toronto, Ontario. For each site, the inter-annual trends and seasonal variabilities of the CO total column time series are accounted for, allowing ambient concentrations to be determined. Enhancements above ambient levels are then used to identify possible wildfire pollution events. Since the abundance of each trace gas species emitted in a wildfire event is specific to the type of vegetation burned and the burning phase, correlations of CO to the other long-lived wildfire tracers HCN and C2H6 allow for further confirmation of the detection of wildfire pollution. Back-trajectories from HYSPLIT and FLEXPART as well as fire detections from the Moderate Resolution Spectroradiometer (MODIS) allow the source regions of the detected enhancements to be determined while satellite observations of CO from the Measurement of Pollution in the Troposphere (MOPITT) and Infrared Atmospheric Sounding Interferometer (IASI) instruments can be used to track the transport of the smoke plume. Differences in travel times between sites allows ageing of biomass burning plumes to be determined, providing a means to infer the physical and chemical processes affecting the loss of each species during transport. Comparisons of ground-based FTIR measurements to GEOS-Chem chemical transport model results are used to investigate these processes, evaluate wildfire emission inventories and infer the influence of wildfire emissions on the Arctic.

Published
2017

216. Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm

Author

O'Dell, Christopher W., primary, Eldering, Annmarie, additional, Wennberg, Paul O., additional, Crisp, David, additional, Gunson, Michael R., additional, Fisher, Brendan, additional, Frankenberg, Christian, additional, Kiel, Matthäus, additional, Lindqvist, Hannakaisa, additional, Mandrake, Lukas, additional, Merrelli, Aronne, additional, Natraj, Vijay, additional, Nelson, Robert R., additional, Osterman, Gregory B., additional, Payne, Vivienne H., additional, Taylor, Thomas E., additional, Wunch, Debra, additional, Drouin, Brian J., additional, Oyafuso, Fabiano, additional, Chang, Albert, additional, McDuffie, James, additional, Smyth, Michael, additional, Baker, David F., additional, Basu, Sourish, additional, Chevallier, Frédéric, additional, Crowell, Sean M. R., additional, Feng, Liang, additional, Palmer, Paul I., additional, Dubey, Mavendra, additional, García, Omaira E., additional, Griffith, David W. T., additional, Hase, Frank, additional, Iraci, Laura T., additional, Kivi, Rigel, additional, Morino, Isamu, additional, Notholt, Justus, additional, Ohyama, Hirofumi, additional, Petri, Christof, additional, Roehl, Coleen M., additional, Sha, Mahesh K., additional, Strong, Kimberly, additional, Sussmann, Ralf, additional, Te, Yao, additional, Uchino, Osamu, additional, and Velazco, Voltaire A., additional

Published
2018
Full Text
View/download PDF

217. The journey of C2-C5 alkane emissions from the oil and gas sector: atmospheric and air quality implications

Author

15th IGAC Science Conference (25-29 September 2018: Takamatsu, Kagawa, Japan), Tzompa-Sosa, Zitely A., Henderson, Barron H., Keller, Christoph A., Travis, Katherine, Mahieu, Emmanuel, Franco, Bruno, Estes, Mark, Helmig, Detlev, Fried, Alan, Richter, Dirk, Weibring, Petter, Walega, James, Blake, Donald Ray, Hannigan, James W., Ortega, Ivan, Conway, Stephanie, Strong, Kimberly, Turner, Alex, Yacovitch, Tara I., Herndon, Scott S.C., Hase, Frank, Schneider, Matthias, Fischer, Emily V., 15th IGAC Science Conference (25-29 September 2018: Takamatsu, Kagawa, Japan), Tzompa-Sosa, Zitely A., Henderson, Barron H., Keller, Christoph A., Travis, Katherine, Mahieu, Emmanuel, Franco, Bruno, Estes, Mark, Helmig, Detlev, Fried, Alan, Richter, Dirk, Weibring, Petter, Walega, James, Blake, Donald Ray, Hannigan, James W., Ortega, Ivan, Conway, Stephanie, Strong, Kimberly, Turner, Alex, Yacovitch, Tara I., Herndon, Scott S.C., Hase, Frank, Schneider, Matthias, and Fischer, Emily V.

Abstract

info:eu-repo/semantics/nonPublished

Published
2018

218. Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm

Author

O'Dell, Christopher, Eldering, A, Wennberg, Paul O, Crisp, David, Gunson, Michael, Fisher, B, Frankenberg, Christian, Kiel, Matthaus, Lindqvist, Hannakaisa, Mandrake, L, Merrelli, Aronne, Natraj, V, Nelson, Robert, Osterman, Greg, Payne, V H, Taylor, T E, Wunch, Debra, Drouin, Brian, Oyafuso, F A, Chang, Albert, McDuffie, James, Smyth, Michael M, Baker, David, Basu, Sourish, Chevallier, Frédéric, Crowell, Sean, Feng, L, Palmer, Paul I, Dubey, Mavendra, Garcia, Omar E, Griffith, David W. T, Hase, Frank, Iraci, Laura T, Kivi, Rigel, Morino, Isamu, Notholt, Justus, Ohyama, Hirofumi, Petri, Christof, Roehl, Coleen M, Sha, Mahesh Kumar, Strong, Kimberly, Sussmann, Ralf, Te, Yao, Uchino, Osamu, Velazco, Voltaire A, O'Dell, Christopher, Eldering, A, Wennberg, Paul O, Crisp, David, Gunson, Michael, Fisher, B, Frankenberg, Christian, Kiel, Matthaus, Lindqvist, Hannakaisa, Mandrake, L, Merrelli, Aronne, Natraj, V, Nelson, Robert, Osterman, Greg, Payne, V H, Taylor, T E, Wunch, Debra, Drouin, Brian, Oyafuso, F A, Chang, Albert, McDuffie, James, Smyth, Michael M, Baker, David, Basu, Sourish, Chevallier, Frédéric, Crowell, Sean, Feng, L, Palmer, Paul I, Dubey, Mavendra, Garcia, Omar E, Griffith, David W. T, Hase, Frank, Iraci, Laura T, Kivi, Rigel, Morino, Isamu, Notholt, Justus, Ohyama, Hirofumi, Petri, Christof, Roehl, Coleen M, Sha, Mahesh Kumar, Strong, Kimberly, Sussmann, Ralf, Te, Yao, Uchino, Osamu, and Velazco, Voltaire A

Abstract

Since September 2014, NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite has been taking measurements of reflected solar spectra and using them to infer atmospheric carbon dioxide levels. This work provides details of the OCO-2 retrieval algorithm, versions 7 and 8, used to derive the column-Averaged dry air mole fraction of atmospheric CO2 (XCO2 ) for the roughly 100 000 cloud-free measurements recorded by OCO-2 each day. The algorithm is based on the Atmospheric Carbon Observations from Space (ACOS) algorithm which has been applied to observations from the Greenhouse Gases Observing SATellite (GOSAT) since 2009, with modifications necessary for OCO-2. Because high accuracy, better than 0.25 %, is required in order to accurately infer carbon sources and sinks from XCO2 , significant errors and regional-scale biases in the measurements must be minimized. We discuss efforts to filter out poor-quality measurements, and correct the remaining goodquality measurements to minimize regional-scale biases. Updates to the radiance calibration and retrieval forward model in version 8 have improved many aspects of the retrieved data products. The version 8 data appear to have reduced regionalscale biases overall, and demonstrate a clear improvement over the version 7 data. In particular, error variance with respect to TCCON was reduced by 20% over land and 40% over ocean between versions 7 and 8, and nadir and glint observations over land are now more consistent. While this paper documents the significant improvements in the ACOS algorithm, it will continue to evolve and improve as the CO2 data record continues to expand.

Published
2018

219. NDACC harmonized formaldehyde time series from 21 FTIR stations covering a wide range of column abundances

Author

Vigouroux, C, Bauer Aquino, Carlos Augusto, Bauwens, Maite, Becker, Cornelis, Blumenstock, Thomas, de Maziere, Martine, García, Omaira, Grutter, Michel, Guarin, Cesar, Hannigan, James W, Hase, Frank, Jones, Nicholas B, Kivi, Rigel, Koshelev, Dmitry, Langerock, Bavo, Lutsch, Erik, Makarova, M V, Metzger, J -M, Muller, Jean François, Notholt, Justus, Ortega, Ivan, Palm, Mathias, Paton-Walsh, Clare, Poberovskii, A M, Rettinger, Markus, Robinson, John, Smale, D, Stavrakou, Trissevgeni, Stremme, Wolfgang, Strong, Kimberly, Sussmann, Ralf, Te, Yao, Toon, Geoffrey, Vigouroux, C, Bauer Aquino, Carlos Augusto, Bauwens, Maite, Becker, Cornelis, Blumenstock, Thomas, de Maziere, Martine, García, Omaira, Grutter, Michel, Guarin, Cesar, Hannigan, James W, Hase, Frank, Jones, Nicholas B, Kivi, Rigel, Koshelev, Dmitry, Langerock, Bavo, Lutsch, Erik, Makarova, M V, Metzger, J -M, Muller, Jean François, Notholt, Justus, Ortega, Ivan, Palm, Mathias, Paton-Walsh, Clare, Poberovskii, A M, Rettinger, Markus, Robinson, John, Smale, D, Stavrakou, Trissevgeni, Stremme, Wolfgang, Strong, Kimberly, Sussmann, Ralf, Te, Yao, and Toon, Geoffrey

Abstract

Among the more than 20 ground-based FTIR (Fourier transform infrared) stations currently operating around the globe, only a few have provided formaldehyde (HCHO) total column time series until now. Although several independent studies have shown that the FTIR measurements can provide formaldehyde total columns with good precision, the spatial coverage has not been optimal for providing good diagnostics for satellite or model validation. Furthermore, these past studies used different retrieval settings, and biases as large as 50% can be observed in the HCHO total columns depending on these retrieval choices, which is also a weakness for validation studies combining data from different ground-based stations. For the present work, the HCHO retrieval settings have been optimized based on experience gained from past studies and have been applied consistently at the 21 participating stations. Most of them are either part of the Network for the Detection of Atmospheric Composition Change (NDACC) or under consideration for membership. We provide the harmonized settings and a characterization of the HCHO FTIR products. Depending on the station, the total systematic and random uncertainties of an individual HCHO total column measurement lie between 12% and 27% and between 1 and 11x1014 moleccm-2, respectively. The median values among all stations are 13% and 2.9x1014 moleccm-2 for the total systematic and random uncertainties. This unprecedented harmonized formaldehyde data set from 21 ground-based FTIR stations is presented and its comparison with a global chemistry transport model shows consistency in absolute values as well as in seasonal cycles. The network covers very different concentration levels of formaldehyde, from very clean levels at the limit of detection (few 1013moleccm-2) to highly polluted levels (7x1016moleccm-2). Because the measurements can be made at any time during daylight, the diurnal cycle can be observed and is found to be significant at many station

Published
2018

220. Unprecedented NH3 emissions detected in the high-Arctic from the 2017 Canadian wildfires

Author

AGU Fall Meeting 2018 (Washington, D.C.), Lutsch, Erik, Strong, Kimberly, Jones, Dylan B A, Ortega, Ivan, Hannigan, James W., Dammers, Enrico D. E., Shephard, Mark W., Morris, Eleanor Rose, Murphy, Killian, Evans, Mathew, Parrington, Mark, Whitburn, Simon, Van Damme, Martin, Clarisse, Lieven, Coheur, Pierre, Clerbaux, Cathy, Croft, Betty, Martin, Randall, Wenthworth, Greg, Zhu, Lei, Fisher, Jenny A, AGU Fall Meeting 2018 (Washington, D.C.), Lutsch, Erik, Strong, Kimberly, Jones, Dylan B A, Ortega, Ivan, Hannigan, James W., Dammers, Enrico D. E., Shephard, Mark W., Morris, Eleanor Rose, Murphy, Killian, Evans, Mathew, Parrington, Mark, Whitburn, Simon, Van Damme, Martin, Clarisse, Lieven, Coheur, Pierre, Clerbaux, Cathy, Croft, Betty, Martin, Randall, Wenthworth, Greg, Zhu, Lei, and Fisher, Jenny A

Abstract

info:eu-repo/semantics/nonPublished

Published
2018

221. The Influence of Biomass Burning on the Arctic: Pan-Arctic FTIR Observations and Model Results

Author

2018 joint 14th iCACGP Symposium and 15th IGAC Science Conference (Japan), Strong, Kimberly, Lutsch, Erik, Conway, S., Drummond, James, Hannigan, James W., Ortega, I., Blumenstock, Thomas, Mahieu, Emmanuel, Makarova, Mariia, Notholt, Justus, Palm, M., Sussmann, Ralf, Kasai, Y., Fisher, J., Jones, D.B., Clarisse, Lieven, Clerbaux, Cathy, Coheur, Pierre, Dammers, E., Evans, Mark, Morris, E.M., Parrington, Mark, Shephard, Mark W., Van Damme, Martin, Whitburn, Simon, 2018 joint 14th iCACGP Symposium and 15th IGAC Science Conference (Japan), Strong, Kimberly, Lutsch, Erik, Conway, S., Drummond, James, Hannigan, James W., Ortega, I., Blumenstock, Thomas, Mahieu, Emmanuel, Makarova, Mariia, Notholt, Justus, Palm, M., Sussmann, Ralf, Kasai, Y., Fisher, J., Jones, D.B., Clarisse, Lieven, Clerbaux, Cathy, Coheur, Pierre, Dammers, E., Evans, Mark, Morris, E.M., Parrington, Mark, Shephard, Mark W., Van Damme, Martin, and Whitburn, Simon

Abstract

info:eu-repo/semantics/nonPublished

Published
2018

222. Exceptional emissions of NH3, CO, HCN and C2H6 from the 2017 North American wildfires detected in the high-Arctic

Author

European Geosciences Union General Assembly (2018), Lutsch, E., Dammers, E., Strong, Kimberly, Jones, D.B., Van der Werf, G.R., Ortega, I., Hannigan, James W., Shephard, M.W., Whitburn, Simon, Van Damme, Martin, Clarisse, Lieven, Coheur, Pierre, European Geosciences Union General Assembly (2018), Lutsch, E., Dammers, E., Strong, Kimberly, Jones, D.B., Van der Werf, G.R., Ortega, I., Hannigan, James W., Shephard, M.W., Whitburn, Simon, Van Damme, Martin, Clarisse, Lieven, and Coheur, Pierre

Abstract

info:eu-repo/semantics/nonPublished

Published
2018

224. Collision‐Induced Absorption of CH4‐CO2 and H2‐CO2 Complexes and Their Effect on the Ancient Martian Atmosphere.

Author

Godin, Paul J., Ramirez, Ramses M., Campbell, Charissa L., Wizenberg, Tyler, Nguyen, Tue Giang, Strong, Kimberly, and Moores, John E.

Subjects
MARTIAN atmosphere, INNER planet exploration, PLANETARY exploration, SPACE exploration, OUTER space research, GEOPHYSICS
Abstract

Experimental measurements of collision‐induced absorption (CIA) cross sections for CO2‐H2 and CO2‐CH4 complexes were performed using Fourier transform spectroscopy over a spectral range of 150–475 cm−1 and a temperature range of 200–300 K. These experimentally derived CIA cross sections agree with the spectral range of the calculation by Wordsworth et al. (2017) however, the amplitude is half of what was predicted. Furthermore, the CIA cross sections reported here agree with those measured by Turbet et al. (2019, 2019). Additionally, radiative transfer calculations of the early Mars atmosphere were performed, and showed that CO2‐CH4 CIA would require surface pressure greater than 3 bar for a 10% methane atmosphere to achieve 273 K at the surface. For CO2‐H2, liquid water is possible with 5% hydrogen and less than 2 bar of surface pressure. Plain Language Summary: New temperature‐dependent infrared absorption properties of CO2‐H2 and CO2‐CH4 gas mixtures were experimentally tested against a theoretical prediction. Ultimately, we find that the strength of the absorption was half of what was predicted. Absorption between CO2‐H2 and CO2‐CH4 was proposed as a way to increase the greenhouse gas effect on ancient Mars, so that Mars would be warm enough to have liquid water on the surface. Ancient Mars climate was simulated using the new gas mixture absorption properties. Since the experimental absorption was weaker than predicted, we find that CO2‐CH4 is insufficient in warming ancient Mars, but CO2‐H2 remains a possibility. Key Points: First experimental measurements of CO2‐H2 and CO2‐CH4 CIA cross sections at multiple temperaturesRadiative transfer calculations of the early Mars atmosphere were performed using the newly acquired CIA cross sectionsSurface temperatures above 273 K can be reached if surface pressures exceed 3 bar for 10% CH4 or 2 bar for a 5% H2 atmosphere [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

225. Total ozone loss during the 2016/17 Arctic winter and comparison to previous years

Author

Goutail, Florence, Pommereau, Jean-Pierre, Pazmino, Andrea, Lefèvre, Franck, Chipperfield, Martyn, Feng, Wuhu, van Roozendael, Michel, Eriksen, Paul, Stebel, Kerstin, Kivi, Rigel, Bognar, Kristof, Strong, Kimberly, Walker, Kaley, STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), School of Earth and Environment [Leeds] (SEE), University of Leeds, Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB), Danish Meteorological Institute (DMI), Norwegian Institute for Air Research (NILU), Finnish Meteorological Institute (FMI), Department of Physics [Toronto], University of Toronto, and Cardon, Catherine

Subjects
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], [PHYS.PHYS.PHYS-AO-PH] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
Abstract

International audience; The amplitude of ozone depletion in the Arctic is monitored every year since 1994 by comparison between total ozone measurements of eight SAOZ / NDACC UV-Vis spectrometers deployed in the Arctic and 3-D chemical transport model simulations in which ozone is considered as a passive tracer. The method allows determining the evolution of the daily rate of the ozone destruction and the amplitude of the cumulative loss at the end of the winter. The amplitude of the destruction varies between 0-10% in relatively warm and short vortex duration years to 25-39% in colder and longer ones. However, as shown by the unprecedented depletion of 39% in 2010/11, the loss is not only dependent on the extension of the vortex in spring, but also on its strength limiting its re-noxification by import of nitrogen oxide species from the outside, as reported by the total NO2 columns measured by the SAOZ instruments. Shown in this presentation will be the evolution of ozone loss and re-noxification in the Arctic during the winter 2016/17 compared to that of previous winters. Compared to observed SAOZ O3 loss, REPROBUS and SLIMCAT CTM simulations are showing differences varying between 0% and 7% depending on the assumptions of vortex strength and isolation. The comparison between ozone loss amplitudes and ozone loss rates, seen each year since 1994 by SAOZ and the two CTM simulations will be followed by a discussion of possible causes in their variable amplitude.

Published
2017

226. The recent increase of atmospheric methane from 10 years of ground-based NDACC FTIR observations since 2005

Author

Bader, Whitney, Bovy, Benoît, Conway, Stephanie, Strong, Kimberly, Smale, Dan, Turner, Alexander J., Blumenstock, Thomas, Boone, Chris, Coulon, Ancelin, García Rodríguez, Omaira Elena, Griffith, David W. T., Hase, Frank, Hausmann, Petra, Jones, Nicholas, Krummel, Paul B., Murata, Isao, Morino, Isamu, Nakajima, Hideaki, O'Doherty, Simon, Paton-Walsh, Clare, Robinson, John, Sandrin, Rodrigue, Schneider, Matthias, Servais, Christian, Sussmann, Ralf, and Mahieu, Emmanuel

Subjects
Atmospheric methane, Fourier transform infrared, Metano atmosférico, Espectrometría de transformada de Fourier, Observación solar, Solar observations
Abstract

An increase of 0.31 ± 0.03 % year−1 of atmospheric methane is reported using 10 years of solar observations performed at 10 ground-based stations since 2005. These trend agree with a GEOS-Chem-tagged simulation that accounts for the contribution of each emission source and one sink in the total methane. The GEOS-Chem simulation shows that anthropogenic emissions from coal mining and gas and oil transport and exploration have played a major role in the increase methane since 2005. W. Bader has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 704951, and from the University of Toronto through a Faculty of Arts & Science Postdoctoral Fellowship Award. E. Mahieu is a Research Associate with the F.R.S.–FNRS. The F.R.S.–FNRS further supported this work under Grant no. J.0093.15 and the Fédération Wallonie Bruxelles contributed to supporting observational activities. The Centre for Atmospheric Chemistry at the University of Wollongong involvement in this work is funded by Australian Research Council projects DP1601021598 and LE0668470.

Published
2017

227. Study of the footprints of short-term variation in XCO2 observed by TCCON sites using NIES and FLEXPART atmospheric transport models

Author

Belikov, Dmitry A., Maksyutov, Shamil, Ganshin, Alexander, Zhuravlev, Ruslan, Deutscher, Nicholas M., Wunch, Debra, Feist, Dietrich G., Morino, Isamu, Parker, Robert J., Strong, Kimberly, Yoshida, Yukio, Bril, Andrey, Oshchepkov, Sergey, Boesch, Hartmut, Dubey, Manvendra K., Griffith, David, Hewson, Will, Kivi, Rigel, Mendonca, Joseph, Notholt, Justus, Schneider, Matthias, Sussmann, Ralf, Velazco, Voltaire A., and Aoki, Shuji

Subjects
lcsh:Chemistry, Atmospheric transport models, lcsh:QD1-999, Carbon dioxide, lcsh:Physics, lcsh:QC1-999, Astrophysics::Galaxy Astrophysics, Satellite observations
Abstract

The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier transform spectrometers (FTSs) that record near-infrared (NIR) spectra of the sun. From these spectra, accurate and precise observations of CO2 column-averaged dry-air mole fractions (denoted XCO2) are retrieved. TCCON FTS observations have previously been used to validate satellite estimations of XCO2; however, our knowledge of the short-term spatial and temporal variations in XCO2 surrounding the TCCON sites is limited. In this work, we use the National Institute for Environmental Studies (NIES) Eulerian three-dimensional transport model and the FLEXPART (FLEXible PARTicle dispersion model) Lagrangian particle dispersion model (LPDM) to determine the footprints of short-term variations in XCO2 observed by operational, past, future and possible TCCON sites. We propose a footprint-based method for the collocation of satellite and TCCON XCO2 observations and estimate the performance of the method using the NIES model and five GOSAT (Greenhouse Gases Observing Satellite) XCO2 product data sets. Comparison of the proposed approach with a standard geographic method shows a higher number of collocation points and an average bias reduction up to 0.15 ppm for a subset of 16 stations for the period from January 2010 to January 2014. Case studies of the Darwin and Reunion Island sites reveal that when the footprint area is rather curved, non-uniform and significantly different from a geographical rectangular area, the differences between these approaches are more noticeable. This emphasises that the collocation is sensitive to local meteorological conditions and flux distributions.

Published
2017

228. Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) XCO2 measurements with TCCON

Author

Wunch, Debra, Wennberg, Paul, Osterman, Gregory, Fisher, Brendan, Naylor, Bret, Roehl, Coleen, O'Dell, Christopher, Mandrake, Lukas, Viatte, Camille, Kiel, Matthäus, Griffith, David W. T., Deutscher, Nicholas M., Velazco, Voltaire, Notholt, Justus, Warneke, Thorsten, Petri, Christof, De Mazière, Martine, Sha, Mahesh, Sussmann, Ralf, Rettinger, Markus, Pollard, David, Robinson, John, Morino, Isamu, Uchino, Osamu, Hase, Frank, Blumenstock, Thomas, Feist, Dietrich G., Arnold, Sabrina G., Strong, Kimberly, Mendonca, Joseph, Kivi, Rigel, Heikkinen, Paul, Iraci, Laura, Podolske, James, Hillyard, Patrick W., Kawakami, Shuji, Dubey, Manvendra K., Parker, Harrison A., Sepúlveda, Eliezer, Garcìa, Omaira E., Té, Yao, Jeseck, Pascal, Gunson, Michael R., Crisp, David, Eldering, Annmarie, California Institute of Technology (CALTECH), University of Toronto, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Colorado State University [Fort Collins] (CSU), Institut für Meteorologie und Klimaforschung - Atmosphärische Spurengase und Fernerkundung (IMK-ASF), Karlsruher Institut für Technologie (KIT), University of Wollongong [Australia], Centre for Atmospheric Chemistry [Wollongong] (CAC), University of Bremen, Institut für Umweltphysik [Bremen] (IUP), Universität Bremen, Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB), Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU), National Institute of Water and Atmospheric Research [Lauder] (NIWA), National Institute for Environmental Studies (NIES), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Department of Physics [Toronto], Finnish Meteorological Institute (FMI), NASA Ames Research Center (ARC), Bay Area Environmental Research Institute (BAER), Japan Aerospace Exploration Agency [Tsukuba] (JAXA), Los Alamos National Laboratory (LANL), Izaña Atmospheric Research Center (IARC), Agencia Estatal de Meteorología (AEMet), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Centre National de la Recherche Scientifique (CNRS), and École normale supérieure - Paris (ENS-PSL)

Subjects
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
Abstract

International audience; NASA's Orbiting Carbon Observatory-2 (OCO-2) has been measuring carbon dioxide column-averaged dry-air mole fraction, XCO2, in the Earth's atmosphere for over 2 years. In this paper, we describe the comparisons between the first major release of the OCO-2 retrieval algorithm (B7r) and XCO2 from OCO-2's primary ground-based validation network: the Total Carbon Column Observing Network (TCCON). The OCO-2 XCO2 retrievals, after filtering and bias correction, agree well when aggregated around and coincident with TCCON data in nadir, glint, and target observation modes, with absolute median differences less than 0.4 ppm and RMS differences less than 1.5 ppm. After bias correction, residual biases remain. These biases appear to depend on latitude, surface properties, and scattering by aerosols. It is thus crucial to continue measurement comparisons with TCCON to monitor and evaluate the OCO-2 XCO2 data quality throughout its mission.

Published
2017

229. Tropospheric water vapour isotopologue data (H216O, H218O, and HD16O) as obtained from NDACC/FTIR solar absorption spectra

Author

Barthlott, Sabine, Schneider, Matthias, Hase, Frank, Blumenstock, Thomas, Kiel, Matthaeus, Dubravica, Darko, García Rodríguez, Omaira Elena, Sepúlveda Hernández, Eliezer, Mengistu Tsidu, Gizaw, Takele Kenea, Samuel, Grutter, Michel, Plaza, E. F., Stremme, Wolfgang, Strong, Kimberly, Weaver, D., Palm, Mathias, Warneke, Thorsten, Notholt, Justus, Mahieu, Emmanuel, Servais, Christian, Jones, Nicholas, Griffith, David W. T., Smale, Dan, and Robinson, John

Subjects
Vapor de agua, Isotopólogos, Teledetección, FTIR spectrometer, Tropospheric water vapour, Remote sensing observations, Water vapour isotopologue
Abstract

Tropospheric water vapour isotopologue distributions have been consistently generated and quality-filtered for 12 globally distributed ground-based FTIR sites. The products are provided as two data types. The first type is best-suited for tropospheric water vapour distribution studies. The second type is needed for analysing moisture pathways by means of {H2O,δD}-pair distributions. This paper describes the data types and gives recommendations for their correct usage. We gratefully acknowledge the support by the SFB/TR 172 “ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC) 3” in Projects B06 and E02 funded by the DFG. Eliezer Sepúlveda is supported by the Ministerio de Economía y Competitividad from Spain under the project CGL2012-37505 (NOVIA project). The measurements in Mexico (Altzomoni) are supported by UNAM-DGAPA grants (IN109914, IN112216) and Conacyt (239618, 249374). Start-up of the measurements in Altzomoni was supported by the International Bureau of BMBF under contract no. 01DN12064. This study has been conducted in the framework of the project MUSICA, which was funded by the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement number 256961.

Published
2017

231. The Adaptable 4A Inversion (5AI): Description and first XCO2 retrievals from OCO-2 observations.

Author

Dogniaux, Matthieu, Crevoisier, Cyril, Armante, Raymond, Capelle, Virginie, Delahaye, Thibault, Cassé, Vincent, De Mazière, Martine, Deutscher, Nicholas M., Feist, Dietrich G., Garcia, Omaira E., Griffith, David W. T., Hase, Frank, Iraci, Laura T., Kivi, Rigel, Morino, Isamu, Notholt, Justus, Pollard, David F., Roehl, Coleen M., Shiomi, Kei, and Strong, Kimberly

Subjects
SOLAR radiation, GREENHOUSE gases, CLIMATE change, MOLE fraction, CARBON dioxide
Abstract

A better understanding of greenhouse gas surface sources and sinks is required in order to address the global challenge of climate change. Spaceborne remote estimations of greenhouse gas atmospheric concentrations can offer the global coverage that is necessary to improve the constraint on their fluxes, thus enabling a better monitoring of anthropogenic emissions. In this work, we introduce the Adaptable 4A Inversion (5AI) inverse scheme that aims to retrieve geophysical parameters from any remote sensing observation. The algorithm is based on Bayesian optimal estimation relying on the Operational version of the Automatized Atmospheric Absorption Atlas (4A/OP) radiative transfer forward model along with the Gestion et Étude des Informations Spectroscopiques Atmosphériques: Management and Study of Atmospheric Spectroscopic Information (GEISA) spectroscopic database. Here, the 5AI scheme is applied to retrieve the column-averaged dry-air mole fraction of carbon dioxide (XCO2) from measurements performed by the Orbiting Carbon Observatory-2 (OCO-2) mission, and uses an empirically corrected absorption continuum in the O2 A-band. For airmasses below 3.0, XCO2 retrievals successfully capture the latitudinal variations of CO2, as well as its seasonal cycle and long-term increasing trend. Comparison with ground-based observations from the Total Carbon Column Observing Network (TCCON) yields a difference of 1.33 ± 1.29 ppm, which is similar to the standard deviation of the Atmospheric CO2 Observations from Space (ACOS) official products. We show that the systematic differences between 5AI and ACOS results can be fully removed by adding an average calculated - observed spectral residual correction to OCO-2 measurements, thus underlying the critical sensitivity of retrieval results to forward modelling. These comparisons show the reliability of 5AI as a Bayesian optimal estimation implementation that is easily adaptable to any instrument designed to retrieve column-averaged dry-air mole fractions of greenhouse gases. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

232. Multiscale observations of NH3 around Toronto, Canada.

Author

Yamanouchi, Shoma, Viatte, Camille, Strong, Kimberly, Lutsch, Erik, Jones, Dylan B. A., Clerbaux, Cathy, Van Damme, Martin, Clarisse, Lieven, and Coheur, Pierre-Francois

Subjects
MULTISCALE modeling, PARTICULATE matter, FOURIER transforms, TIME series analysis, STATISTICAL correlation, PREDICTION models
Abstract

Ammonia (NH3) is a major source of nitrates in the atmosphere, and a major source of fine particulate matter. As such, there have been increasing efforts to measure the atmospheric abundance of NH3 and its spatial and temporal variability. In this study, long-term measurements of NH3 derived from multiscale datasets are examined. These NH3 datasets include 16 years of total column measurements using Fourier transform infrared (FTIR) spectroscopy, three years of surface in-situ measurements, and 10 years of total column measurements from the Infrared Atmospheric Sounding Interferometer (IASI). The datasets were used to quantify NH3 temporal variability over Toronto, Canada. The multiscale datasets were also compared to assess the observational footprint of the FTIR measurements. All three time series showed positive trends in NH3 over Toronto: 3.34 ± 0.46%/year from 2002 to 2018 in the FTIR columns, 8.88 ± 2.83%/year from 2013 to 2017 in the surface in-situ data, and 8.38 ± 0.77%/year from 2008 to 2018 in the IASI columns. To assess the observational footprint of the FTIR NH3 columns, correlations between the datasets were examined. The best correlation between FTIR and IASI was obtained with coincidence criteria of ≤ 25 km and ≤ 20 minutes, with r = 0.73 and a slope of 1.14 ± 0.06. Additionally, FTIR column and in-situ measurements were standardized and correlated. Comparison of 24-day averages and monthly averages resulted in correlation coefficients of r = 0.72 and r = 0.75, respectively, although correlation without resampling to reduce high-frequency variability led to a poorer correlation, with r = 0.39. The GEOS-Chem model, run at 2° × 2.5° resolution, was compared against FTIR and IASI to assess model performance and investigate correlation of observational data and model output, both with local column measurements (FTIR) and measurements on a regional scale (IASI). Comparisons on a regional scale (a domain spanning 35° N to 53° N, and 93.75° W to 63.75° W) resulted in r = 0.57, and thus a coefficient of determination, which is indicative of the predictive capacity of the model, of r² = 0.33, but comparing a single model grid point against the FTIR resulted in a poorer correlation, with r² = 0.13, indicating that a finer spatial resolution is needed for modeling NH3. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

233. Detection of HCOOH, CH 3 OH, CO, HCN, and C 2 H 6 in Wildfire Plumes Transported Over Toronto Using Ground‐Based FTIR Measurements From 2002–2018.

Author

Yamanouchi, Shoma, Strong, Kimberly, Lutsch, Erik, and Jones, Dylan B. A.

Subjects
FOURIER transform infrared spectroscopy, EMISSIONS (Air pollution), GASES, SIMULATION methods & models, BIOMASS
Abstract

The Fourier transform infrared (FTIR) spectrometer at the University of Toronto Atmospheric Observatory has been operational since 2002, collecting solar absorption spectra from which atmospheric trace gas profiles and columns are retrieved. The time series of total columns of CH3OH and HCOOH over Toronto are presented here for the first time, along with those for CO, HCN, and C2H6. Transport of wildfire plumes over the site results in enhanced columns of biomass burning species. Here we report the detection of biomass burning enhancement events between 2002 and 2018. Several simultaneous enhancements of CO, HCN, and C2H6 were observed, and the measured columns were used to derive emission ratios and emission factors for HCN and C2H6 for fire events in 2012, 2015, and 2017. From these events, which included plumes from both boreal and temperate forest fires, emission ratios with respect to CO were derived using CO lifetimes of 30 and 61 days. HCN emission ratios range between 0.0037 ± 0.0003 and 0.0057 ± 0.0008, while C2H6 emission ratios vary from 0.00122 ± 0.0015 to 0.019 ± 0.001. Enhanced columns of CH3OH and HCOOH were also observed during the 2015 and 2017 events, and emission ratios were derived but have greater uncertainties due to shorter lifetimes and other sources for these gases. The FLEXPART, HYSPLIT, and GEOS‐Chem models were used for source attribution and traveltime estimation. GEOS‐Chem was run in the tagged CO simulation mode and successfully captured the CO enhancements from fires for the 2015 and 2017 events. Key Points: The first long‐term time series of HCOOH and CH3OH columns over Toronto were derived from FTIR solar absorption spectraTime series of HCOOH and CH3OH show seasonal cycles that are consistent with previous studies, with maxima occurring in summerWildfire emission factors were derived from enhanced CO, HCN, C2H6, CH3OH, and HCOOH, but those for HCOOH and CH3OH have large uncertainties [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

234. Pan-Arctic surface ozone: modelling vs measurements.

Author

Xin Yang, Blechschmidt, Anne-M., Bognar, Kristof, McClure–Begley, Audra, Morris, Sara, Petropavlovskikh, Irina, Richter, Andreas, Skov, Henrik, Strong, Kimberly, Tarasick, David, Uttal, Taneil, Vestenius, Mika, and Xiaoyi Zhao

Abstract

Within the framework of the International Arctic Systems for Observing the Atmosphere (IASOA), we report a modelling-based study on surface ozone across the Arctic. We use surface ozone from six sites: Summit (Greenland), Pallas (Finland), Barrow (USA), Alert (Canada), Tiksi (Russia), and Villum Research Station (VRS) at Station Nord (North Greenland, Danish Realm), and ozonesonde data from three Canadian sites: Resolute, Eureka, and Alert. Two global chemistry models: a global chemistry transport model (p-TOMCAT) and a global chemistry climate model (UKCA), are used for model-data comparisons. Remotely sensed data of BrO from the GOME-2 satellite instrument and ground-based Multi-axis Differential Optical Absorption Spectroscopy (MAX-DOAS) at Eureka, Canada are used for model validation. The observed climatology data show that spring surface ozone at coastal sites is heavily depleted, making ozone seasonality at Arctic coastal sites distinctly different from that at inland sites. Model simulations show that surface ozone can be greatly reduced by bromine chemistry. In April, bromine chemistry can cause a net ozone loss (monthly mean) of 10–20 ppbv, with almost half attributable to open-ocean-sourced bromine and the rest to sea-ice-sourced bromine. However, the open-ocean-sourced bromine, via sea spray bromide depletion, cannot by itself produce ozone depletion events (ODEs) (defined as ozone volume mixing ratios VMRs < 10 ppbv). In contrast, sea-ice-sourced bromine, via sea salt aerosol (SSA) production from blowing snow, can produce ODEs even without bromine from sea spray, highlighting the importance of sea ice surface in polar boundary layer chemistry. Model bromine is sensitive to model configuration, e.g., under the same bromine loading, the total inorganic bromine (BrY) in the Arctic spring boundary layer in the p-TOMCAT base run (i.e., with all bromine emissions) can be 2 times larger than that in the UKCA base run. Despite the model differences, both model base runs can successfully reproduce large bromine explosion events (BEEs) in polar spring. Model-integrated tropospheric column BrO generally matches GOME-2 tropospheric columns within ~50 % (in the UKCA base run) and factors of 2–3 (in the p-TOMCAT base run). The success of the models in reproducing both ODEs and BEEs in the Arctic indicates that the relevant parameterizations implemented in the models work reasonably well, which supports the proposed mechanism of SSA and bromine production from blowing snow on sea ice. Given that sea ice is a large source of SSA and halogens, changes in sea ice type and extent in a warming climate will influence Arctic boundary layer chemistry, including the oxidation of atmospheric elemental mercury. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

235. FTIR time series of tropospheric HCN in eastern China: seasonality, interannual variability and source attribution.

Author

Youwen Sun, Cheng Liu, Lin Zhang, Palm, Mathias, Notholt, Justus, Hao Yin, Vigouroux, Corinne, Lutsch, Erik, Wei Wang, Changong Shan, Blumenstock, Thomas, Tomoo Nagahama, Isamu Morino, Mahieu, Emmanuel, Strong, Kimberly, Langerock, Bavo, De Maziere, Martine, Qihou Hu, Huifang Zhang, and Petri, Christoph

Abstract

We analyzed seasonality and interannual variability of tropospheric HCN column amounts in densely populated eastern China for the first time. The results were derived from solar absorption spectra recorded with ground-based high spectral resolution Fourier transform infrared (FTIR) spectrometer at Hefei (117°10' E, 31°54' N) between 2015 and 2018. The tropospheric HCN columns over Hefei, China showed significant seasonal variations with three monthly mean peaks throughout the year. The magnitude of the tropospheric HCN column peak in May > September > December. The tropospheric HCN column reached a maximum of (9.8 ± 0.78) x 1015 molecules/cm² in May and a minimum of (7.16 ± 0.75) x 1015 molecules/cm² in November. In most cases, the tropospheric HCN columns at Hefei (32° N) are higher than the FTIR observations at Ny Alesund (79° N), Kiruna (68° N), Bremen (53° N), Jungfraujoch (47° N), Toronto (44° N), Rikubetsu (43° N), Izana (28° N), Mauna Loa (20° N), La Reunion Maido (21° S), Lauder (45° S), and Arrival Heights (78° S) that are affiliated with the Network for Detection of Atmospheric Composition Change (NDACC). Enhancements of the tropospheric HCN columns were observed between September 2015 and July 2016 compared to the counterpart measurements in other years. The magnitude of the enhancement ranges from 5 to 46 % with an average of 22 %. Enhancement of tropospheric HCN (ΔHCN) is correlated with the coincident enhancement of tropospheric CO (ΔCO), indicating that enhancements of tropospheric CO and HCN were due to the same sources. The GEOS-Chem tagged CO simulation, the global fire maps and the PSCFs (Potential Source Contribution Function) calculated using back trajectories revealed that the seasonal maxima in May is largely due to the influence of biomass burning in South Eastern Asia (SEAS) (41 ± 13.1 %), Europe and Boreal Asia (EUBA) (21 ± 9.3 %) and Africa (AF) (22 ± 4.7 %). The seasonal maxima in September is largely due to the influence of biomass burnings in EUBA (38 ± 11.3 %), AF (26 ± 6.7 %), SEAS (14 ± 3.3 %), and Northern America (NA) (13.8 ± 8.4 %). For the seasonal maxima in December, dominant contributions are from AF (36 ± 7.1 %), EUBA (21 ± 5.2 %), and NA (18.7 ± 5.2 %). The tropospheric HCN enhancement between September 2015 and July 2016 at Hefei (32° N) were attributed to an elevated influence of biomass burnings in SEAS, EUBA, and Oceania (OCE) in this period. Particularly, an elevated fire number in OCE in the second half of 2015 dominated the tropospheric HCN enhancement in September-December 2015. An elevated fire number in SEAS in the first half of 2016 dominated the tropospheric HCN enhancement in January-July 2016. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

236. Assessment of the quality of TROPOMI high-spatial-resolution NO2 data products.

Author

Xiaoyi Zhao, Griffin, Debora, Fioletov, Vitali, McLinden, Chris, Cede, Alexander, Tiefengraber, Martin, Müller, Moritz, Bognar, Kristof, Strong, Kimberly, Boersma, Folkert, Eskes, Henk, Davies, Jonathan, Ogyu, Akira, and Sum Chi Lee

Subjects
TRACE gases, TROPOSPHERIC chemistry, AIR masses, AIR quality, OZONE layer, NITROGEN dioxide, SPACETIME
Abstract

The TROPOspheric Monitoring Instrument (TROPOMI) on-board the Sentinel-5 Precursor satellite (launched on 13 October 2017) is a nadir-viewing spectrometer measuring reflected sunlight in the ultraviolet, visible, near-infrared, and shortwave infrared spectral ranges. The measured spectra are used to retrieve total columns of trace gases, including nitrogen dioxide (NO2). For ground validation of these satellite measurements, Pandora spectrometers, which retrieve high-quality NO2 total columns via direct-sun measurements, are widely used. In this study, Pandora NO2 measurements made at three sites located in or north of the Greater Toronto Area (GTA) are used to evaluate the TROPOMI NO2 data products, including standard Royal Netherlands Meteorological Institute (KNMI) tropospheric and stratospheric NO2 data product and a TROPOMI research data product developed by Environment and Climate Change Canada (ECCC) using a high-resolution regional air quality forecast model (used in the air mass factor calculation). It is found that these current TROPOMI tropospheric NO2 data products (standard and ECCC) met the TROPOMI design bias requirement. Using the statistical uncertainty estimation method, the estimated TROPOMI upper limit precision falls below the design requirement at a rural site, but above in the other two urban and suburban sites. The Pandora instruments are found to have sufficient precision to perform TROPOMI validation work. In addition to the traditional satellite validation method (i.e., pairing ground-based measurements with satellite measurements closest in time and space), we analyzed TROPOMI pixels located upwind and downwind from the Pandora site. This makes it possible to improve the statistics and better interpret the high-spatial-resolution measurements made by TROPOMI. By using this wind-based validation technique, the number of coincident measurements can be increased by about a factor of five. Using this larger number of coincident measurements, this work shows that both TROPOMI and Pandora instruments can reveal detailed spatial patterns (i.e., horizontal distributions) of local and transported NO2 emissions, which can be used to evaluate regional air quality changes. The TROPOMI ECCC NO2 research data product shows improved agreement with Pandora measurements compared to the TROPOMI standard tropospheric NO2 data product, demonstrating benefits from the high-resolution regional air quality forecast model. [ABSTRACT FROM AUTHOR]

Published
2019
Full Text
View/download PDF

237. Comparison of ground-based and satellite measurements of water vapour vertical profiles over Ellesmere Island, Nunavut

Author

Weaver, Dan, primary, Strong, Kimberly, additional, Walker, Kaley A., additional, Sioris, Chris, additional, Schneider, Matthias, additional, McElroy, C. Thomas, additional, Vömel, Holger, additional, Sommer, Michael, additional, Weigel, Katja, additional, Rozanov, Alexei, additional, Burrows, John P., additional, Read, William G., additional, Fishbein, Evan, additional, and Stiller, Gabriele, additional

Published
2018
Full Text
View/download PDF

238. Supplementary material to &quot;Comparison of ground-based and satellite measurements of water vapour vertical profiles over Ellesmere Island, Nunavut&quot;

Author

Weaver, Dan, primary, Strong, Kimberly, additional, Walker, Kaley A., additional, Sioris, Chris, additional, Schneider, Matthias, additional, McElroy, C. Thomas, additional, Vömel, Holger, additional, Sommer, Michael, additional, Weigel, Katja, additional, Rozanov, Alexei, additional, Burrows, John P., additional, Read, William G., additional, Fishbein, Evan, additional, and Stiller, Gabriele, additional

Published
2018
Full Text
View/download PDF

240. Improved Retrievals of Carbon Dioxide from the Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm

Author

O'Dell, Christopher W., primary, Eldering, Annmarie, additional, Wennberg, Paul O., additional, Crisp, David, additional, Gunson, Michael R., additional, Fisher, Brendan, additional, Frankenberg, Christian, additional, Kiel, Matthäus, additional, Lindqvist, Hannakaisa, additional, Mandrake, Lukas, additional, Merrelli, Aronne, additional, Natraj, Vijay, additional, Nelson, Robert R., additional, Osterman, Gregory B., additional, Payne, Vivienne H., additional, Taylor, Thomas R., additional, Wunch, Debra, additional, Drouin, Brian J., additional, Oyafuso, Fabiano, additional, Chang, Albert, additional, McDuffie, James, additional, Smyth, Michael, additional, Baker, David F., additional, Basu, Sourish, additional, Chevallier, Frédéric, additional, Crowell, Sean M. R., additional, Feng, Liang, additional, Palmer, Paul I., additional, Dubey, Mavendra, additional, García, Omaira E., additional, Griffith, David W. T., additional, Hase, Frank, additional, Iraci, Laura T., additional, Kivi, Rigel, additional, Morino, Isamu, additional, Notholt, Justus, additional, Ohyama, Hirofumi, additional, Petri, Christof, additional, Roehl, Coleen M., additional, Sha, Mahesh K., additional, Strong, Kimberly, additional, Sussmann, Ralf, additional, Te, Yao, additional, Uchino, Osamu, additional, and Velazco, Voltaire A., additional

Published
2018
Full Text
View/download PDF

241. Characterization of aerosol growth events over Ellesmere Island during the summers of 2015 and 2016

Author

Tremblay, Samantha, primary, Picard, Jean-Christophe, additional, Bachelder, Jill O., additional, Lutsch, Erik, additional, Strong, Kimberly, additional, Fogal, Pierre, additional, Leaitch, W. Richard, additional, Sharma, Sangeeta, additional, Kolonjari, Felicia, additional, Cox, Christopher J., additional, Chang, Rachel Y.-W., additional, and Hayes, Patrick L., additional

Published
2018
Full Text
View/download PDF

242. Supplementary material to &quot;Characterization of aerosol growth events over Ellesmere Island during the summers of 2015 and 2016&quot;

Author

Tremblay, Samantha, primary, Picard, Jean-Christophe, additional, Bachelder, Jill O., additional, Lutsch, Erik, additional, Strong, Kimberly, additional, Fogal, Pierre, additional, Leaitch, W. Richard, additional, Sharma, Sangeeta, additional, Kolonjari, Felicia, additional, Cox, Christopher J., additional, Chang, Rachel Y.-W., additional, and Hayes, Patrick L., additional

Published
2018
Full Text
View/download PDF

245. Looking beyond the exome: a phenotype-first approach to molecular diagnostic resolution in rare and undiagnosed diseases

Author

Pena, Loren D.M., primary, Jiang, Yong-Hui, additional, Schoch, Kelly, additional, Spillmann, Rebecca C., additional, Walley, Nicole, additional, Stong, Nicholas, additional, Rapisardo Horn, Sarah, additional, Sullivan, Jennifer A., additional, McConkie-Rosell, Allyn, additional, Kansagra, Sujay, additional, Smith, Edward C., additional, El-Dairi, Mays, additional, Bellet, Jane, additional, Keels, Martha Ann, additional, Jasien, Joan, additional, Kranz, Peter G., additional, Noel, Richard, additional, Nagaraj, Shashi K., additional, Lark, Robert K., additional, Wechsler, Daniel S.G., additional, del Gaudio, Daniela, additional, Leung, Marco L., additional, Hendon, Laura G., additional, Parker, Collette C., additional, Jones, Kelly L., additional, Goldstein, David B., additional, Shashi, Vandana, additional, Alejandro, Mercedes E., additional, Bacino, Carlos A., additional, Balasubramanyam, Ashok, additional, Bostwick, Bret L., additional, Burrage, Lindsay C., additional, Chen, Shan, additional, Clark, Gary D., additional, Craigen, William J., additional, Dhar, Shweta U., additional, Emrick, Lisa T., additional, Graham, Brett H., additional, Hanchard, Neil A., additional, Jain, Mahim, additional, Lalani, Seema R., additional, Lee, Brendan H., additional, Lewis, Richard A., additional, Azamian, Mashid S., additional, Moretti, Paolo M., additional, Nicholas, Sarah K., additional, Orange, Jordan S., additional, Posey, Jennifer E., additional, Potocki, Lorraine, additional, Rosenfeld, Jill A., additional, Samson, Susan L., additional, Scott, Daryl A., additional, Tran, Alyssa A., additional, Vogel, Tiphanie P., additional, Zhang, Jing, additional, Bellen, Hugo J., additional, Wangler, Michael F., additional, Yamamoto, Shinya, additional, Eng, Christine M., additional, Muzny, Donna M., additional, Ward, Patricia A., additional, Yang, Yaping, additional, Jiang, Yong-hui, additional, Pena, Loren D.M., additional, Walley, Nicole M., additional, Beggs, Alan H., additional, Briere, Lauren C., additional, Cooper, Cynthia M., additional, Donnell-Fink, Laurel A., additional, Krieg, Elizabeth L., additional, Krier, Joel B., additional, Lincoln, Sharyn A., additional, Loscalzo, Joseph, additional, Maas, Richard L., additional, MacRae, Calum A., additional, Pallais, J. Carl, additional, Rodan, Lance H., additional, Silverman, Edwin K., additional, Stoler, Joan M., additional, Sweetser, David A., additional, Walsh, Chris A., additional, Esteves, Cecilia, additional, Holm, Ingrid A., additional, Kohane, Isaac S., additional, Mazur, Paul, additional, McCray, Alexa T., additional, Might, Matthew, additional, Ramoni, Rachel B., additional, Splinter, Kimberly, additional, Bick, David P., additional, Birch, Camille L., additional, Boone, Braden E., additional, Brown, Donna M., additional, Dorset, Daniel C., additional, Handley, Lori H., additional, Jacob, Howard J., additional, Jones, Angela L., additional, Lazar, Jozef, additional, Levy, Shawn E., additional, Newberry, J. Scott, additional, Schroeder, Molly C., additional, Strong, Kimberly A., additional, Worthey, Elizabeth A., additional, Dayal, Jyoti G., additional, Eckstein, David J., additional, Gould, Sarah E., additional, Howerton, Ellen M., additional, Krasnewich, Donna M., additional, Mamounas, Laura A., additional, Manolio, Teri A., additional, Mulvihill, John J., additional, Urv, Tiina K., additional, Wise, Anastasia L., additional, Soldatos, Ariane G., additional, Brush, Matthew, additional, Gourdine, Jean-Philippe F., additional, Haendel, Melissa, additional, Koeller, David M., additional, Kyle, Jennifer E., additional, Metz, Thomas O., additional, Waters, Katrina M., additional, Webb-Robertson, Bobbie-Jo M., additional, Ashley, Euan A., additional, Bernstein, Jonathan A., additional, Dries, Annika M., additional, Fisher, Paul G., additional, Kohler, Jennefer N., additional, Waggott, Daryl M., additional, Wheeler, Matthew T., additional, Zornio, Patricia A., additional, Allard, Patrick, additional, Barseghyan, Hayk, additional, Dell'Angelica, Esteban C., additional, Dillon, Ani, additional, Dipple, Katrina M., additional, Dorrani, Naghmeh, additional, Douine, Emilie D., additional, Eskin, Ascia, additional, Fogel, Brent L., additional, Herzog, Matthew R., additional, Lee, Hane, additional, Lipson, Allen, additional, Loo, Sandra K., additional, Martínez-Agosto, Julian A., additional, Nelson, Stan F., additional, Palmer, Christina G.S., additional, Papp, Jeanette C., additional, Parker, Neil H., additional, Sinsheimer, Janet S., additional, Vilain, Eric, additional, Zheng, Allison, additional, Adams, Christopher J., additional, Burke, Elizabeth A., additional, Chao, Katherine R., additional, Davids, Mariska, additional, Draper, David D., additional, Estwick, Tyra, additional, Frisby, Trevor S., additional, Frost, Kate, additional, Gartner, Valerie, additional, Godfrey, Rena A., additional, Goheen, Mitchell, additional, Golas, Gretchen A., additional, Gordon, Mary G., additional, Groden, Catherine A., additional, Hackbarth, Mary E., additional, Hardee, Isabel, additional, Johnston, Jean M., additional, Koehler, Alanna E., additional, Latham, Lea, additional, Latour, Yvonne L., additional, Lau, C. Christopher, additional, Levy, Denise J., additional, Liebendorfer, Adam P., additional, Macnamara, Ellen F., additional, Maduro, Valerie V., additional, Markello, Thomas C., additional, McCarty, Alexandra J., additional, Murphy, Jennifer L., additional, Nehrebecky, Michele E., additional, Novacic, Donna, additional, Pusey, Barbara N., additional, Sadozai, Sarah, additional, Schaffer, Katherine E., additional, Sharma, Prashant, additional, Thomas, Sara P., additional, Tolman, Nathanial J., additional, Toro, Camilo, additional, Valivullah, Zaheer M., additional, Wahl, Colleen E., additional, Warburton, Mike, additional, Weech, Alec A., additional, Yu, Guoyun, additional, Gropman, Andrea L., additional, Adams, David R., additional, Gahl, William A., additional, Malicdan, May Christine V., additional, Tifft, Cynthia J., additional, Wolfe, Lynne A., additional, Lee, Paul R., additional, Postlethwait, John H., additional, Westerfield, Monte, additional, Bican, Anna, additional, Cogan, Joy D., additional, Hamid, Rizwan, additional, Newman, John H., additional, Phillips, John A., additional, and Robertson, Amy K., additional

Published
2018
Full Text
View/download PDF

249. Cyclone-induced surface ozone and HDO depletion in the Arctic

Author

Zhao, Xiaoyi, Weaver, Dan, Bognar, Kristof, Manney, Gloria, Millán, Luis, Yang, Xin, Eloranta, Edwin, Schneider, Matthias, Strong, Kimberly, Zhao, Xiaoyi, Weaver, Dan, Bognar, Kristof, Manney, Gloria, Millán, Luis, Yang, Xin, Eloranta, Edwin, Schneider, Matthias, and Strong, Kimberly

Abstract

Ground-based, satellite, and reanalysis datasets were used to identify two similar cyclone-induced surface ozone depletion events at Eureka, Canada (80.1° N, 86.4° W), in March 2007 and April 2011. These two events were coincident with observations of hydrogen deuterium oxide (HDO) depletion, indicating that condensation and sublimation occurred during the transport of the ozone-depleted air masses. Ice clouds (vapour and crystals) and aerosols were detected by lidar and radar when the ozone- and HDO-depleted air masses arrived over Eureka. For the 2007 event, an ice cloud layer was coincident with an aloft ozone depletion layer at 870 m altitude on 2–3 March, indicating this ice cloud layer contained bromine-enriched blowing-snow particles. Over the following 3 days, a shallow surface ozone depletion event (ODE) was observed at Eureka after the precipitation of bromine-enriched particles onto the local snowpack. A chemistry–climate model (UKCA) and a chemical transport model (pTOMCAT) were used to simulate the surface ozone depletion events. Incorporating the latest surface snow salinity data obtained for the Weddell Sea into the models resulted in improved agreement between the modelled and measured BrO concentrations above Eureka. MERRA-2 global reanalysis data and the FLEXPART particle dispersion model were used to study the link between the ozone and HDO depletion. In general, the modelled ozone and BrO showed good agreement with the ground-based observations; however, the modelled BrO and ozone in the near-surface layer are quite sensitive to the snow salinity. HDO depletion observed during these two blowing-snow ODEs was found to be weaker than pure Rayleigh fractionation. This work provides evidence of a blowing-snow sublimation process, which is a key step in producing bromine-enriched sea-salt aerosol.

Published
2017

250. Comparison of the GOSAT TANSO-FTS TIR CH4 volume mixing ratio vertical profiles with those measured by ACE-FTS, ESA MIPAS, IMK-IAA MIPAS, and 16 NDACC stations

Author

Olsen, Kevin S, Strong, Kimberly, Walker, K, Boone, C D, Raspollini, P, Plieninger, Johannes, Bader, Whitney, Conway, Stephanie, Grutter, Michel, Hannigan, James W, Hase, Frank, Jones, Nicholas B, de Maziere, Martine, Notholt, Justus, Schneider, Matthias, Smale, D, Sussmann, Ralf, Saitoh, Naoko, Olsen, Kevin S, Strong, Kimberly, Walker, K, Boone, C D, Raspollini, P, Plieninger, Johannes, Bader, Whitney, Conway, Stephanie, Grutter, Michel, Hannigan, James W, Hase, Frank, Jones, Nicholas B, de Maziere, Martine, Notholt, Justus, Schneider, Matthias, Smale, D, Sussmann, Ralf, and Saitoh, Naoko

Abstract

The primary instrument on the Greenhouse gases Observing SATellite (GOSAT) is the Thermal And Near infrared Sensor for carbon Observations (TANSO) Fourier transform spectrometer (FTS). TANSO-FTS uses three short-wave infrared (SWIR) bands to retrieve total columns of CO2 and CH4 along its optical line of sight and one thermal infrared (TIR) channel to retrieve vertical profiles of CO2 and CH4 volume mixing ratios (VMRs) in the troposphere. We examine version 1 of the TANSO-FTS TIR CH4 product by comparing co-located CH4 VMR vertical profiles from two other remote-sensing FTS systems: the Canadian Space Agency's Atmospheric Chemistry Experiment FTS (ACE-FTS) on SCISAT (version 3.5) and the European Space Agency's Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on Envisat (ESA ML2PP version 6 and IMK-IAA reduced-resolution version V5R-CH4-224/225), as well as 16 ground stations with the Network for the Detection of Atmospheric Composition Change (NDACC). This work follows an initial inter-comparison study over the Arctic, which incorporated a ground-based FTS at the Polar Environment Atmospheric Research Laboratory (PEARL) at Eureka, Canada, and focuses on tropospheric and lower-stratospheric measurements made at middle and tropical latitudes between 2009 and 2013 (mid-2012 for MIPAS). For comparison, vertical profiles from all instruments are interpolated onto a common pressure grid, and smoothing is applied to ACE-FTS, MIPAS, and NDACC vertical profiles. Smoothing is needed to account for differences between the vertical resolution of each instrument and differences in the dependence on a priori profiles. The smoothing operators use the TANSO-FTS a priori and averaging kernels in all cases. We present zonally averaged mean CH4 differences between each instrument and TANSO-FTS with and without smoothing, and we examine their information content, their sensitive altitude range, their correlation, their a priori dependence, and the variability within

Published
2017

Catalog

Books, media, physical & digital resources
See catalog results