Search

Your search keyword '"Jin, J. -J."' showing total 98 results
Start Over Author "Jin, J. -J."
Sorry, I don't understand your search. ×
98 results on '"Jin, J. -J."'

1. Extragalactic fast X-ray transient from a weak relativistic jet associated with a Type Ic-BL supernova

Author

Sun, H., Li, W. -X., Liu, L. -D., Gao, H., Wang, X. -F., Yuan, W., Zhang, B., Filippenko, A. V., Xu, D., An, T., Ai, S., Brink, T. G., Liu, Y., Liu, Y. -Q., Wang, C. -Y., Wu, Q. -Y., Wu, X. -F., Yang, Y., Zhang, B. -B., Zheng, W. -K., Ahumada, T., Dai, Z. -G., Delaunay, J., Elias-Rosa, N., Benetti, S., Fu, S. -Y., Howell, D. A., Huang, Y. -F., Kasliwal, M. M., Karambelkar, V., Stein, R., Lei, W. -H., Lian, T. -Y., Peng, Z. -K., Ridnaia, A. V., Svinkin, D. S., Wang, X. -Y., Wang, A. -L., Wei, D. -M., An, J., Andrews, M., Bai, J. -M, Dai, C. -Y., Ehgamberdiev, S. A., Fan, Z., Farah, J., Feng, H. -C., Fynbo, J. P. U., Guo, W. -J., Guo, Z., Hu, M. -K., Hu, J. -W., Jiang, S. -Q., Jin, J. -J., Li, A., Li, J. -D., Li, R. -Z., Liang, Y. -F., Ling, Z. -X., Liu, X., Mao, J. -R., McCully, C., Mirzaqulov, D., Newsome, M., Gonzalez, E. Padilla, Pan, X., Terreran, G., Tinyanont, S., Wang, B. -T., Wang, L. -Z., Wen, X. -D., Xiang, D. -F., Xue, S. -J., Yang, J., Zhu, Z. -P., Cai, Z. -M., Castro-Tirado, A. J., Chen, F. -S., Chen, H. -L., Chen, T. -X., Chen, W., Chen, Y. -H., Chen, Y. -F., Chen, Y., Cheng, H. -Q., Cordier, B., Cui, C. -Z., Cui, W. -W., Dai, Y. -F., Fan, D. -W., Feng, H., Guan, J., Han, D. -W., Hou, D. -J., Hu, H. -B., Huang, M. -H., Huo, J., Jia, S. -M., Jia, Z. -Q., Jiang, B. -W., Jin, C. -C., Jin, G., Kuulkers, E., Li, C. -K., Li, D. -Y., Li, J. -F., Li, L. -H., Li, M. -S., Li, W., Li, Z. -D., Liu, C. -Z, Liu, H. -Y., Liu, H. -Q., Liu, M. -J., Lu, F. -J., Luo, L. -D., Ma, J., Mao, X., Nandra, K., O'Brien, P., Pan, H. -W., Rau, A., Rea, N., Sanders, J., Song, L. -M., Sun, S. -L., Sun, X. -J., Tan, Y. -Y., Tang, Q. -J., Tao, Y. -H., Wang, H., Wang, J., Wang, L., Wang, W. -X., Wang, Y. -L., Wang, Y. -S., Xiong, D. -R., Xu, H. -T., Xu, J. -J., Xu, X. -P., Xu, Y. -F., Xu, Z., Xue, C. -B., Xue, Y. -L., Yan, A. -L., Yang, H. -N., Yang, X. -T., Yang, Y. -J., Zhang, C., Zhang, J., Zhang, M., Zhang, S. -N., Zhang, W. -D., Zhang, W. -J., Zhang, Y. -H., Zhang, Z., Zhang, Z. -L., Zhao, D. -H., Zhao, H. -S., Zhao, X. -F., Zhao, Z. -J., Zhou, Y. -L., Zhu, Y. -X., and Zhu, Z. -C.

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

Massive stars end their life as core-collapse supernovae, amongst which some extremes are Type Ic broad-lined supernovae associated with long-duration gamma-ray bursts (LGRBs) having powerful relativistic jets. Their less-extreme brethren make unsuccessful jets that are choked inside the stars, appearing as X-ray flashes or low-luminosity GRBs. On the other hand, there exists a population of extragalactic fast X-ray transients (EFXTs) with timescales ranging from seconds to thousands of seconds, whose origins remain obscure. Known sources that contribute to the observed EFXT population include the softer analogs of LGRBs, shock breakouts of supernovae, or unsuccessful jets. Here, we report the discovery of the bright X-ray transient EP240414a detected by the Einstein Probe (EP), which is associated with the Type Ic supernova SN 2024gsa at a redshift of 0.401. The X-ray emission evolution is characterised by a very soft energy spectrum peaking at < 1.3 keV, which makes it distinct from known LGRBs, X-ray flashes, or low-luminosity GRBs. Follow-up observations at optical and radio bands revealed the existence of a weak relativistic jet that interacts with an extended shell surrounding the progenitor star. Located on the outskirts of a massive galaxy, this event reveals a new population of explosions of Wolf-Rayet stars characterised by a less powerful engine that drives a successful but weak jet, possibly owing to a progenitor star with a smaller core angular momentum than in traditional LGRB progenitors., Comment: 43 pages, 9 figures, 4 tables, submitted. Comments are welcome

Published
2024

2. Soft X-ray prompt emission from a high-redshift gamma-ray burst EP240315a

Author

Liu, Y., Sun, H., Xu, D., Svinkin, D. S., Delaunay, J., Tanvir, N. R., Gao, H., Zhang, C., Chen, Y., Wu, X. -F., Zhang, B., Yuan, W., An, J., Bruni, G., Frederiks, D. D., Ghirlanda, G., Hu, J. -W., Li, A., Li, C. -K., Li, J. -D., Malesani, D. B., Piro, L., Raman, G., Ricci, R., Troja, E., Vergani, S. D., Wu, Q. -Y., Yang, J., Zhang, B. -B., Zhu, Z. -P., Postigo, A. de Ugarte, Demin, A. G., Dobie, D., Fan, Z., Fu, S. -Y., Fynbo, J. P. U., Geng, J. -J., Gianfagna, G., Hu, Y. -D., Huang, Y. -F., Jiang, S. -Q., Jonker, P. G., Julakanti, Y., Kennea, J. A., Kokomov, A. A., Kuulkers, E., Lei, W. -H., Leung, J. K., Levan, A. J., Li, D. -Y., Li, Y., Littlefair, S. P., Liu, X., Lysenko, A. L., Ma, Y. -N., Martin-Carrillo, A., O'Brien, P., Parsotan, T., Quirola-Vasquez, J., Ridnaia, A. V., Ronchini, S., Rossi, A., Mata-Sanchez, D., Schneider, B., Shen, R. -F., Thakur, A. L., Tohuvavohu, A., Torres, M. A. P., Tsvetkova, A. E., Ulanov, M. V., Wei, J. -J., Xiao, D., Yin, Y. -H. I., Bai, M., Burwitz, V., Cai, Z. -M., Chen, F. -S., Chen, H. -L., Chen, T. -X., Chen, W., Chen, Y. -F., Chen, Y. -H., Cheng, H. -Q., Cui, C. -Z., Cui, W. -W., Dai, Y. -F., Dai, Z. -G., Eder, J., Fan, D. -W., Feldman, C., Feng, H., Feng, Z., Friedrich, P., Gao, X., Guan, J., Han, D. -W, Han, J., Hou, D. -J., Hu, H. -B., Hu, T., Huang, M. -H., Huo, J., Hutchinson, I., Ji, Z., Jia, S. -M., Jia, Z. -Q., Jiang, B. -W., Jin, C. -C., Jin, G., Jin, J. -J., Keereman, A., Lerman, H., Li, J. -F., Li, L. -H., Li, M. -S., Li, W., Li, Z. -D., Lian, T. -Y., Liang, E. -W., Ling, Z. -X., Liu, C. -Z., Liu, H. -Y., Liu, H. -Q., Liu, M. -J., Liu, Y. -R., Lu, F. -J., LU, H. -J., Luo, L. -D., Ma, F. L., Ma, J., Mao, J. -R., Mao, X., McHugh, M., Meidinger, N., Nandra, K., Osborne, J. P., Pan, H. -W., Pan, X., Ravasio, M. E., Rau, A., Rea, N., Rehman, U., Sanders, J., Santovincenzo, A., Song, L. -M., Su, J., Sun, L. -J., Sun, S. -L., Sun, X. -J., Tan, Y. -Y., Tang, Q. -J., Tao, Y. -H., Tong, J. -Z., Wang, H., Wang, J., Wang, L., Wang, W. -X., Wang, X. -F., Wang, X. -Y., Wang, Y. -L., Wang, Y. -S., Wei, D. -M., Willingale, R., Xiong, S. -L., Xu, H. -T., Xu, J. -J., Xu, X. -P., Xu, Y. -F., Xu, Z., Xue, C. -B., Xue, Y. -L., Yan, A. -L., Yang, F., Yang, H. -N., Yang, X. -T., Yang, Y. -J, Yu, Y. -W., Zhang, J., Zhang, M., Zhang, S. -N., Zhang, W. -D., Zhang, W. -J., Zhang, Y. -H., Zhang, Z., Zhang, Z. -L., Zhao, D. -H., Zhao, H. -S., Zhao, X. -F., Zhao, Z. -J., Zhou, L. -X., Zhou, Y. -L., Zhu, Y. -X., Zhu, Z. -C., and Zuo, X. -X.

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

Long gamma-ray bursts (GRBs) are believed to originate from core collapse of massive stars. High-redshift GRBs can probe the star formation and reionization history of the early universe, but their detection remains rare. Here we report the detection of a GRB triggered in the 0.5--4 keV band by the Wide-field X-ray Telescope (WXT) on board the Einstein Probe (EP) mission, designated as EP240315a, whose bright peak was also detected by the Swift Burst Alert Telescope and Konus-Wind through off-line analyses. At a redshift of $z=4.859$, EP240315a showed a much longer and more complicated light curve in the soft X-ray band than in gamma-rays. Benefiting from a large field-of-view ($\sim$3600 deg$^2$) and a high sensitivity, EP-WXT captured the earlier engine activation and extended late engine activity through a continuous detection. With a peak X-ray flux at the faint end of previously known high-$z$ GRBs, the detection of EP240315a demonstrates the great potential for EP to study the early universe via GRBs., Comment: 41 pages, 8 figures, 7 tables

Published
2024

3. Influence of the velocity barrier on the massive Dirac electron transport in a monolayer MoS$_{2}$ quantum structure

Author

Hao, X. -J., Yuan, R. -Y., Jin, J. -J., and Guo, Y.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics
Abstract

Using the transfer matrix method, spin- and valley-dependent electron transport properties modulated by the velocity barrier were studied in the normal/ferromagnetic/normal monolayer MoS$_{2}$ quantum structure. Based on Snell's Law in optics, we define the velocity barrier as $\xi=v_{2}/v_{1}$ by changing the Fermi velocity of the intermediate ferromagnetic region to obtain a deflection condition during the electron transport process in the structure. The results show that both the magnitude and the direction of spin- and valley-dependent electron polarization can be regulated by the velocity barrier. $-100\%$ polarization of spin- and valley-dependent electron can be achieved for $\xi>1$, while $100\%$ polarization can be obtained for $\xi<1$. Furthermore, it is determined that perfect spin and valley transport always occur at a large incident angle. In addition, the spin- and valley-dependent electron transport considerably depends on the length $k_{F}L$ and the gate voltage $U(x)$ of the intermediate ferromagnetic region. These findings provide an effective method for designing novel spin and valley electronic devices.

Published
2020

8. A Global Ozone Climatology from Ozone Soundings via Trajectory Mapping: A Stratospheric Perspective

Author

Liu, J. J, Tarasick, D. W, Fioletov, V. E, McLinden, C, Zhao, T, Gong, S, Sioris, G, Jin, J. J, Liu, G, and Moeini, O

Subjects
Earth Resources And Remote Sensing, Meteorology And Climatology
Abstract

This study explores a domain-filling trajectory approach to generate a global ozone climatology from sparse ozonesonde data. Global ozone soundings of 51,898 profiles at 116 stations over 44 years (1965-2008) are used, from which forward and backward trajectories are performed for 4 days, driven by a set of meteorological reanalysis data. Ozone mixing ratios of each sounding from the surface to 26 km altitude are assigned to the entire path along the trajectory. The resulting global ozone climatology is archived monthly for five decades from the 1960s to the 2000s with grids of 5 degree 5 degree 1 km (latitude, longitude, and altitude). It is also archived yearly from 1965 to 2008. This climatology is validated at 20 ozonesonde stations by comparing the actual ozone sounding profile with that found through the trajectories, using the ozone soundings at all the stations except one being tested. The two sets of profiles are in good agreement, both individually with correlation coefficients between 0.975 and 0.998 and root mean square (RMS) differences of 87 to 482 ppbv, and overall with a correlation coefficient of 0.991 and an RMS of 224 ppbv. The ozone climatology is also compared with two sets of satellite data, from the Satellite Aerosol and Gas Experiment (SAGE) and the Optical Spectrography and InfraRed Imager System (OSIRIS). Overall, the ozone climatology compares well with SAGE and OSIRIS data by both seasonal and zonal means. The mean difference is generally under 20 above 15 km. The comparison is better in the northern hemisphere, where there are more ozonesonde stations, than in the southern hemisphere; it is also better in the middle and high latitudes than in the tropics, where assimilated winds are imperfect in some regions. This ozone climatology can capture known features in the stratosphere, as well as seasonal and decadal variations of these features. Furthermore, it provides a wealth of detail about longitudinal variations in the stratosphere such as the spring ozone maximum over the Canadian Arctic. It also covers higher latitudes than current satellite data. The climatology shows clearly the depletion of ozone from the 1970s to the mid 1990s and ozone recovery in the 2000s. When this climatology is used as the upper boundary condition in an Environment Canada operational chemical forecast model, the forecast is improved in the vicinity of the upper tropospherelower stratosphere region. As this ozone climatology is neither dependent on a priori data or photochemical modeling, it provides independent information and insight that can supplement satellite data and model simulations and enhance our understanding of stratospheric ozone.

Published
2013

9. Abstracts from the sixth meeting of the international association of pancreatology, November 2–4, 1994, Chicago, IL

Author

Burdick, Michael, Hollingsworth, Tony, Gansauge, S., Gansauge, F., Link, K. H., Schoenberg, M. H., Poch, B., Beger, H. G., Wagner, A. C. C., Steffen, H., Göke, B., Gaisano, H. Y., Sheu, L., Foskett, J. K., Trimble, W. S., Lee, Y. L., Kwon, H. Y., Park, H. S., Lee, S. M., Park, H. J., aguchi, S., Green, G. M., Mitamura, K., Komatsu, Y., Arai, I., Yamaura, H., Wang, OJ, Adrian, TE, Teyssen, S., Niebel, W., Niebergall, E., Singer, M. V., Umehara, K, Ohara, T, Kataoka, K, Okamura, H, Kato, M, Sakagami, J, Ohta, A, Murase, M, Hosoda, M, Yamane, Y, Kashima, K, Ibata, Y, Balthazar, Emil J., Banks, P. A., Garzof, S. G., Langevin, R. E., Silverman, S. G., Sica, G. T., Bassi, C., Benini, A., Muner, A., Falconi, M., Abbas, H., Pederzoli, P., Salvia, R., Minelli, E. Bertazzoni, Shaskar, S. Shanmuga, Shearer, M. G., Imrie, C. W., Brodmerkel, G. J., Reed, P. A., Carr-Locke, DL, Musa, A, Lichtenstein, DR, Dam, J Van, Banks, PA, Eisele, S., Schoenberg, M. H., Böchjer, M., Beger, H. G., Foitzik, Th., Fern’andez-del Castillo, C., Rattner, D. W., Ferraro, M. J., Warshaw, A. L., Foitzik, Th., Schmidt, J., Hotz, H., Warshaw, A. L., Buhr, H. J., Klar, E., Heinisch, A., Kadow, R., Bioss, U., Schölmerich, J., Zimgibl, H., Leser, H. -G., Manes, G., Rabitti, P. G., Laccetti, M., Cavallera, A., Paceili, L., Gagiione, G., Uomo, G., Marinqhini, A., Zinsmeister, A. R., Melton, L. J., DiMagno, E. P., Marotta, F., Chui, D. H., Barbi, G., Zhong, G. G., Marotta, F., Chui, D. H., Tajiri, H., Bellini, O., Zhong, G. G., Barbi, G., McKay, C, Baxter, J. N., Imrie, C. W., Mithöfer, K., Fern’andez-delCastillo, C., Frick, T. W., Lewandrowski, K., Rattner, D. W., Warshaw, A. L., Pezzilli, R., Billi, P., Miniero, R., Gullo, L., Barakat, B., Migliuli, M., Rau, B., Schad, M., Schoenberg, M., Beger, H. G., Richter, F., Matthias, R., Sakagami, J, Kataoka, K, Ohta, A, Umehara, K, Imoto, M, Murase, M, Hosoda, M, Yamane, Y, Kato, M, Kashima, K, Ashihara, T, Schofield, D, Sharer, NM, Heywood, KM, Waters, HM, Braganza, JM, Scott, P, Sharer, NM, Bilton, D, Deardon, D, Lee, S, Taylor, PM, McCloy, RF, Braganza, JM, Shen, J., Shao, H., Wu, Z. P., Jin, J. J., Shiel, N, Cassidy, O, Sharma, H, Braganza, J. M., Soöckmann, F., Ahrens, J., Leonhardt, U., Otto, J., Ritzel, U., Ramadori, G., Tian, Fuzhou, Hu, JZ, Huang, DR, Wang, XH, Lian, HW, Zhang, BY, Miao, JG, Li, Xu, Zhou, HT, Uomo, G., Rabitti, P. G., Laccetti, M., Manes, G., Esposico, P., Perrocti, F., Visconci, M., Vaccaro, M. I., Dagrosa, M. A., Mora, M. I., Sordelli, D. O., Vogt, W., MeOmann, H., Heinisch, A., Linseis, A., Holstege, A., Schölmerich, J., Leser, H. -G., Weiser, M. R., Gibbs, S. A. L., Hechcman, H. B., Moore, F. D., Worthington, H. V., Runt, L. P., HcCloy, R. F., KacLennan, I. A., Braqanza, J. M., Heath, D, Alexander, D, Wilson, C, Larvin, M, Imrie, CW, McMahon, MJ, Larvin, M, Ward, J, Robinson, PJ, Chalmers, AG, McMahon, MJ, Apte, M, Wilson, J, McCaughan, G, Korsten, M, Norton, I, Piroia, R, Bimmler, D., Frick, T. W., Scheele, G. A., Bockman, Dale E., Büchler, Markus, Beger, Hans G., Cavallini, G., Brunori, M. P., Rigo, L., Bovo, P., Filippini, M., Vaona, B., Di Francesco, V., Frulloni, L., Marcori, M., Farri, P. C., Laardini, M. T., Pederzoli, P., Chowdhury, Riaz, Ochi, Koji, Mizushima, Takaaki, Tsurumi, Tetsuya, Harada, Hideo, Laver, P., Hoist, J. J., Ohe, M. v. d., Goebell, H., Mi Zumoto, A., Sarr, M. G., DiMagno, E. P., Moore, R., Frey, C. F., Debas, H. T., Mulvihill, S. J., Onizuka, S., Kuroda, H., Kuroda, Y., Hongo, H., Matsuzaki, S., Ito, M., Sekine, L., Tsunoda, T., Pap, ’A., Hrisztov, V., Pap, ’A., Marosi, E., Simon, K., Tak’acs, T., Pederzoli, P., Falconi, M., Bassi, C., Bonora, A., Talamini, G., Saivia, R., Benini, L., Caldiron, E., Vesentini, S., Cavallini, G., Raijman, Isaac, Kortan, Paul, Haber, Gregory B., Ramesh, H, Varghese, CJ, Schofield, D, Kay, PM, Bottiglieri, T, Uden, S, Bilton, D, Braganza, JM, Gut, A, Segal, I, Snehalatha, C, Mohan, V, Braganza, JM, Silva, E., Ceneviva, R., Velludo, M. A. L., Silvan, E., Ruebner, B., Ceneviva, R., Velludo, M. A. L., Roselino, J. E. S., Foss, M. C., Talaraini, G., Falcaoi, M., Frmlltai, L, K Fraacesca, V., Maxwi, M., Vaosa, B., Baro, P., Baxu, C., Pedercoli, P., Cavalliai, G., Taiamini, G., Iacano, C., Faicsai, M., Frulloni, L., Rige, L., Castagnisi, A., Marcori, M., Angelini, G., Bassi, C., Bom, P., Vaoss, B., Vantini, I., Sen, G., Pederzali, P., Cavallini, G., Štimee, B, Bulajič, M, Milosavljevi’c, T, Krsti’c, R, Markovi’c, M, Korneti, V, Ugljcš’c, M, Abruzzesse, IL, Evans, DB, Larry, L, King, T, Raijman, I, Roubein, L, Frazier, M, lacono, C., Faca, E., Falezza, G., Bonora, E., Aurola PP, Serio, G., lacono, C., Nicoli, N., Mansueto, G. C., Zicari, M., Marchiori, L., Mangiante, G., Seno, G., Imarnura, M., Yamauchi, H., Inoue, M., Onda, M., UchlDa, E., Almqtq, T., Yamanaka, Y., Kqbayashi, T., Yokqyama, T., Aida, K., Sasajima, K., Tajiri, T., Egami, K., Yamashita, K., Naitq, Z., Asano, G., Lewandrowski, K. B., Kirby, R. E., Southern, J. F., Compton, C. C., Warshaw, A. L., Lip, J, Strömmer, L, Permert, J, Larsson, J, Adrian, TE, Loftus, E. V., Adkins, M. C., Olivares-Pakzad, B., Batts, K. P., Stephens, D. H., Farnell, M. B., Sarr, H. G., Thompson, G. B., van Heerden, J. A., Kelly, D. G., Miller, L. J., Pearson, R. K., Clain, J. E., Petersen, B. T., DiMagno, E. P., Matsumoto, Cancer S., Chowdhury, R., Mizushima, T., Ochi, K., Harada, H., Miki, H., Ozkan, Hnsan, Saisho, Hiromitsu, Yarnaguchi, Taketo, Ishihara, Takeshi, Kikuchi, Yasuharu, Tsuyuguchi, Toshio, Ohto, Masao, Pasqual, C., Sperti, C., Liesai, G., Guido, M., Pedrazzoli, S., Sperti, C., Pasquali, C., Khajeturian, E., Guolo, P., Pedrazzoli, S., Tadokoro, H., Watanabe, S., Moriyoshi, Y., Yoshida, K., Shiratori, K., Takeuchi, T., Uchida, E., Onda, M., Tajiri, T., Egami, K., Yamashita, K., Aida, K., Yamanaka, Y., Kobayashi, T., Aimoto, T., Yokoyama, T., Inoue, M., Naito, Z., Asano, G., Valentich, M. A., Monis, B., Barotto, N. N., and Herrera, P.

Published
1994
Full Text
View/download PDF

11. Influence of the velocity barrier on the massive Dirac electron transport in a monolayer MoS2 quantum structure.

Author

Hao, X.-J., Yuan, R.-Y., Jin, J.-J., and Guo, Y.

Abstract

Using the transfer matrix method, spin- and valley-dependent electron transport properties modulated by the velocity barrier were studied in the normal/ferromagnetic/normal monolayer MoS2 quantum structure. Based on Snell’s Law in optics, we define the velocity barrier as ξ = v2/v1 by changing the Fermi velocity of the intermediate ferromagnetic region to obtain a deflection condition during the electron transport process in the structure. The results show that both the magnitude and the direction of spin- and valley-dependent electron polarization can be regulated by the velocity barrier. − 100% polarization of spin- and valley-dependent electron can be achieved for ξ > 1, while 100% polarization can be obtained for ξ < 1. Furthermore, it is determined that perfect spin and valley transport always occur at a large incident angle. In addition, the spin- and valley-dependent electron transport considerably depends on the length kFL and the gate voltage U(x) of the intermediate ferromagnetic region. These findings provide an effective method for designing novel spin and valley electronic devices. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

13. Validation of ACE-FTS N2O measurements

Author

Strong, K., Wolff, M. A., Kerzenmacher, T. E., Walker, K. A., Bernath, P. F., Blumenstock, T., Boone, C., Catoire, Valéry, Coffey, M., De Mazière, M., Demoulin, P., Duchatelet, P., Dupuy, E., Hannigan, J., Höpfner, M., Glatthor, N., Griffith, D. W. T., Jin, J. J., Jones, N., Jucks, K., Kuellmann, H., Kuttippurath, J., Lambert, A., Mahieu, E., Mcconnell, J. C., Mellqvist, J., Mikuteit, S., Murtagh, D. P., Notholt, J., Piccolo, C., Raspollini, P., Ridolfii, M., Robert, Cédric, Schneider, M., Schrems, O., Semeniuk, K., Senten, C., Stiller, G. P., Strandberg, A., Taylor, James, Tétard, C., Toohey, M., Urban, Jakub, Warneke, T., Wood, S., Department of Physics [Toronto], University of Toronto, Department of Chemistry [Waterloo], University of Waterloo [Waterloo], Department of Chemistry, Forschungszentrum Karlsruhe and University of Karlsruhe, Laboratoire de physique et chimie de l'environnement (LPCE), Université d'Orléans (UO)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), National Center for Atmospheric Research [Boulder] (NCAR), Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB), Institut d'Astrophysique et de Géophysique [Liège], Université de Liège, School of Chemistry, Department of Earth and Space Science and Engineering [York University - Toronto] (ESSE), York University [Toronto], Harvard-Smithsonian Center for Astrophysics (CfA), Smithsonian Institution-Harvard University [Cambridge], Institute of Environmental Physics [Bremen] (IUP), University of Bremen, Jet Propulsion Laboratory (JPL), California Institute of Technology (CALTECH)-NASA, Department of Radio and Space Science [Göteborg], Chalmers University of Technology [Göteborg], Department of Physics, Okayama University, Istituto di Fisica Applicata 'Nello Carrara' (IFAC), Consiglio Nazionale delle Ricerche [Roma] (CNR), Dipartimento di Chimica Fisica e Inorganica [Bologna], Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Department of Bentho-pelagic processes, Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), National Institute of Water and Atmospheric Research [Lauder] (NIWA), Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), Harvard University-Smithsonian Institution, NASA-California Institute of Technology (CALTECH), and National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere
Abstract

International audience; The Atmospheric Chemistry Experiment (ACE), also known as SCISAT, was launched on 12 August 2003, carrying two instruments that measure vertical profiles of atmospheric constituents using the solar occultation technique. One of these instruments, the ACE Fourier Transform Spectrometer (ACE-FTS), is measuring volume mixing ratio (VMR) profiles of nitrous oxide (N2O) from the upper troposphere to the lower mesosphere at a vertical resolution of about 3–4 km. In this study, the quality of the ACE-FTS version 2.2 N2O data is assessed through comparisons with coincident measurements made by other satellite, balloon-borne, aircraft, and ground-based instruments. These consist of vertical profile comparisons with the SMR, MLS, and MIPAS satellite instruments, multiple aircraft flights of ASUR, and single balloon flights of SPIRALE and FIRS-2, and partial column comparisons with a network of ground-based Fourier Transform InfraRed spectrometers (FTIRs). Overall, the quality of the ACE-FTS version 2.2 N2O VMR profiles is good over the entire altitude range from 5 to 60 km. Between 6 and 30 km, the mean absolute differences for the satellite comparisons lie between -42 ppbv and +17 ppbv, with most within ±20 ppbv. This corresponds to relative deviations from the mean that are within ±15%, except for comparisons with MIPAS near 30 km, for which they are as large as 22.5%. Between 18 and 30 km, the mean absolute differences are generally within ±10 ppbv, again excluding the aircraft and balloon comparisons. From 30 to 60 km, the mean absolute differences are within ±4 ppbv, and are mostly between -2 and +1 ppbv. Given the small N2O VMR in this region, the relative deviations from the mean are therefore large at these altitudes, with most suggesting a negative bias in the ACE-FTS data between 30 and 50 km. In the comparisons with the FTIRs, the mean relative differences between the ACE-FTS and FTIR partial columns are within ±6.6% for eleven of the twelve contributing stations. This mean relative difference is negative at ten stations, suggesting a small negative bias in the ACE-FTS partial columns over the altitude regions compared. Excellent correlation (R=0.964) is observed between the ACE-FTS and FTIR partial columns, with a slope of 1.01 and an intercept of -0.20 on the line fitted to the data.

Published
2008

14. Partitioning between the inorganic chlorine reservoirs HCl and ClONO2 during the Arctic winter 2005 from the ACE-FTS

Author

Dufour, G., Nassar, R., Boone, C. D., Skelton, R., Walker, K. A., Bernath, P. F., Rinsland, C. P., Semeniuk, K., Jin, J. J., Mcconnell, J. C., Manney, G. L., EGU, Publication, Department of Chemistry, NASA Headquarters, Department of Space Science and Engineering [Toronto], York University [Toronto], Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), and New Mexico Institute of Mining and Technology [New Mexico Tech] (NMT)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere
Abstract

International audience; From January to March 2005, the Atmospheric Chemistry Experiment high resolution Fourier transform spectrometer (ACE-FTS) on SCISAT-1 measured many of the changes occurring in the Arctic (50?80° N) lower stratosphere under very cold winter conditions. Here we focus on the partitioning between the inorganic chlorine reservoirs HCl and ClONO2 and their activation into ClO. The simultaneous measurement of these species by the ACE-FTS provides the data needed to follow chlorine activation during the Arctic winter and the recovery of the Cl-reservoir species ClONO2 and HCl. The time evolution of HCl, ClONO2 and ClO as well as the partitioning between the two reservoir molecules agrees well with previous observations and with our current understanding of chlorine activation during Arctic winter. The results of a chemical box model are also compared with the ACE-FTS measurements and are generally consistent with the measurements.

Published
2006

18. Validation of ozone measurements from the Atmospheric Chemistry Experiment (ACE)

Author

Burrows, J. P., Christensen, T., Dupuy, E., Walker, K. A., Kar, J., Boone, C. D., McElroy, C. T., Bernath, P. F., Drummond, J. R., Skelton, R., McLeod, S. D., Hughes, R. C., Nowlan, C. R., Dufour, D. G., Zou, J., Nichitiu, F., Strong, K., Baron, P., Bevilacqua, R. M., Blumenstock, T., Bodeker, G. E., Borsdorff, T., Bourassa, A. E., Bovensmann, H., Boyd, I. S., Bracher, Astrid, Brogniez, C., Catoire, V., Ceccherini, S., Chabrillat, S., Coffey, M. T., Cortesi, U., Davies, J., De Clercq, C., Degenstein, D. A., De Maziere, M., Demoulin, P., Dodion, J., Firanski, B., Fischer, Hubertus, Forbes, G., Froidevaux, L., Fussen, D., Gerard, P., Godin-Beekmann, S., Goutail, F., Granville, J., Griffith, D., Haley, C. S., Hannigan, J. W., Höpfner, M., Jin, J. J., Jones, A., Jones, N. B., Jucks, K., Kagawa, A., Kasai, Y., Kerzenmacher, T. E., Kleinböhl, A., Klekociuk, A. R., Kramer, I., Küllmann, H., Kuttippurath, J., Kyrölä, E., Lambert, J. C., Livesey, N. J., Llewellyn, E. J., Lloyd, N. D., Mahieu, E., Manney, G. L., Marshall, B. T., McConnell, J. C., McCormick, M. P., McDermid, I. S., McHugh, M., McLinden, C. A., Mellqvist, J., Mizutani, K., Murayama, Y., Murtagh, D. P., Oelhaf, H., Parrish, A., Petelina, S. V., Piccolo, C., Pommereau, J.-P., Randall, C. E., Robert, C., Roth, C., Russell III, J. M., Schneider, M., Senten, C., Steck, T., Strandberg, A., Strawbridge, K. B., Sussmann, R., Swart, D. P. J., Tarasick, D. W., Taylor, James, Tétard, C., Thomason, L. W., Thompson, A. M., Tully, M. B., Urban, J., Vanhellemont, F., von Clarmann, T., von der Gathen, Peter, von Savigny, C., Waters, J. W., Witte, J. C., Wolff, Martha Maria, Zawodny, J. M., Burrows, J. P., Christensen, T., Dupuy, E., Walker, K. A., Kar, J., Boone, C. D., McElroy, C. T., Bernath, P. F., Drummond, J. R., Skelton, R., McLeod, S. D., Hughes, R. C., Nowlan, C. R., Dufour, D. G., Zou, J., Nichitiu, F., Strong, K., Baron, P., Bevilacqua, R. M., Blumenstock, T., Bodeker, G. E., Borsdorff, T., Bourassa, A. E., Bovensmann, H., Boyd, I. S., Bracher, Astrid, Brogniez, C., Catoire, V., Ceccherini, S., Chabrillat, S., Coffey, M. T., Cortesi, U., Davies, J., De Clercq, C., Degenstein, D. A., De Maziere, M., Demoulin, P., Dodion, J., Firanski, B., Fischer, Hubertus, Forbes, G., Froidevaux, L., Fussen, D., Gerard, P., Godin-Beekmann, S., Goutail, F., Granville, J., Griffith, D., Haley, C. S., Hannigan, J. W., Höpfner, M., Jin, J. J., Jones, A., Jones, N. B., Jucks, K., Kagawa, A., Kasai, Y., Kerzenmacher, T. E., Kleinböhl, A., Klekociuk, A. R., Kramer, I., Küllmann, H., Kuttippurath, J., Kyrölä, E., Lambert, J. C., Livesey, N. J., Llewellyn, E. J., Lloyd, N. D., Mahieu, E., Manney, G. L., Marshall, B. T., McConnell, J. C., McCormick, M. P., McDermid, I. S., McHugh, M., McLinden, C. A., Mellqvist, J., Mizutani, K., Murayama, Y., Murtagh, D. P., Oelhaf, H., Parrish, A., Petelina, S. V., Piccolo, C., Pommereau, J.-P., Randall, C. E., Robert, C., Roth, C., Russell III, J. M., Schneider, M., Senten, C., Steck, T., Strandberg, A., Strawbridge, K. B., Sussmann, R., Swart, D. P. J., Tarasick, D. W., Taylor, James, Tétard, C., Thomason, L. W., Thompson, A. M., Tully, M. B., Urban, J., Vanhellemont, F., von Clarmann, T., von der Gathen, Peter, von Savigny, C., Waters, J. W., Witte, J. C., Wolff, Martha Maria, and Zawodny, J. M.

Abstract

This paper presents extensive {bias determination} analyses of ozone observations from the Atmospheric Chemistry Experiment (ACE) satellite instruments: the ACE Fourier Transform Spectrometer (ACE-FTS) and the Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation (ACE-MAESTRO) instrument. Here we compare the latest ozone data products from ACE-FTS and ACE-MAESTRO with coincident observations from nearly 20 satellite-borne, airborne, balloon-borne and ground-based instruments, by analysing volume mixing ratio profiles and partial column densities. The ACE-FTS version 2.2 Ozone Update product reports more ozone than most correlative measurements from the upper troposphere to the lower mesosphere. At altitude levels from 16 to 44 km, the average values of the mean relative differences are nearly all within +1 to +8%. At higher altitudes (4560 km), the ACE-FTS ozone amounts are significantly larger than those of the comparison instruments, with mean relative differences of up to +40% (about +20% on average). For the ACE-MAESTRO version 1.2 ozone data product, mean relative differences are within ±10% (average values within ±6%) between 18 and 40 km for both the sunrise and sunset measurements. At higher altitudes (~3555 km), systematic biases of opposite sign are found between the ACE-MAESTRO sunrise and sunset observations. While ozone amounts derived from the ACE-MAESTRO sunrise occultation data are often smaller than the coincident observations (with mean relative differences down to −10%), the sunset occultation profiles for ACE-MAESTRO show results that are qualitatively similar to ACE-FTS, indicating a large positive bias (mean relative differences within +10 to +30%) in the 4555 km altitude range. In contrast, there is no significant systematic difference in bias found for the ACE-FTS sunrise and sunset measurements.

Published
2009

25. Comparison of CMAM simulations of carbon monoxide (CO), nitrous oxide (N&lt;sub&gt;2&lt;/sub&gt;O), and methane (CH&lt;sub&gt;4&lt;/sub&gt;) with observations from Odin/SMR, ACE-FTS, and Aura/MLS

Author

Jin, J. J., primary, Semeniuk, K., additional, Beagley, S. R., additional, Fomichev, V. I., additional, Jonsson, A. I., additional, McConnell, J. C., additional, Urban, J., additional, Murtagh, D., additional, Manney, G. L., additional, Boone, C. D., additional, Bernath, P. F., additional, Walker, K. A., additional, Barret, B., additional, Ricaud, P., additional, and Dupuy, E., additional

Published
2009
Full Text
View/download PDF

27. Validation of ozone measurements from the Atmospheric Chemistry Experiment (ACE)

Author

Dupuy, E., primary, Walker, K. A., additional, Kar, J., additional, Boone, C. D., additional, McElroy, C. T., additional, Bernath, P. F., additional, Drummond, J. R., additional, Skelton, R., additional, McLeod, S. D., additional, Hughes, R. C., additional, Nowlan, C. R., additional, Dufour, D. G., additional, Zou, J., additional, Nichitiu, F., additional, Strong, K., additional, Baron, P., additional, Bevilacqua, R. M., additional, Blumenstock, T., additional, Bodeker, G. E., additional, Borsdorff, T., additional, Bourassa, A. E., additional, Bovensmann, H., additional, Boyd, I. S., additional, Bracher, A., additional, Brogniez, C., additional, Burrows, J. P., additional, Catoire, V., additional, Ceccherini, S., additional, Chabrillat, S., additional, Christensen, T., additional, Coffey, M. T., additional, Cortesi, U., additional, Davies, J., additional, De Clercq, C., additional, Degenstein, D. A., additional, De Mazière, M., additional, Demoulin, P., additional, Dodion, J., additional, Firanski, B., additional, Fischer, H., additional, Forbes, G., additional, Froidevaux, L., additional, Fussen, D., additional, Gerard, P., additional, Godin-Beekmann, S., additional, Goutail, F., additional, Granville, J., additional, Griffith, D., additional, Haley, C. S., additional, Hannigan, J. W., additional, Höpfner, M., additional, Jin, J. J., additional, Jones, A., additional, Jones, N. B., additional, Jucks, K., additional, Kagawa, A., additional, Kasai, Y., additional, Kerzenmacher, T. E., additional, Kleinböhl, A., additional, Klekociuk, A. R., additional, Kramer, I., additional, Küllmann, H., additional, Kuttippurath, J., additional, Kyrölä, E., additional, Lambert, J.-C., additional, Livesey, N. J., additional, Llewellyn, E. J., additional, Lloyd, N. D., additional, Mahieu, E., additional, Manney, G. L., additional, Marshall, B. T., additional, McConnell, J. C., additional, McCormick, M. P., additional, McDermid, I. S., additional, McHugh, M., additional, McLinden, C. A., additional, Mellqvist, J., additional, Mizutani, K., additional, Murayama, Y., additional, Murtagh, D. P., additional, Oelhaf, H., additional, Parrish, A., additional, Petelina, S. V., additional, Piccolo, C., additional, Pommereau, J.-P., additional, Randall, C. E., additional, Robert, C., additional, Roth, C., additional, Schneider, M., additional, Senten, C., additional, Steck, T., additional, Strandberg, A., additional, Strawbridge, K. B., additional, Sussmann, R., additional, Swart, D. P. J., additional, Tarasick, D. W., additional, Taylor, J. R., additional, Tétard, C., additional, Thomason, L. W., additional, Thompson, A. M., additional, Tully, M. B., additional, Urban, J., additional, Vanhellemont, F., additional, Vigouroux, C., additional, von Clarmann, T., additional, von der Gathen, P., additional, von Savigny, C., additional, Waters, J. W., additional, Witte, J. C., additional, Wolff, M., additional, and Zawodny, J. M., additional

Published
2009
Full Text
View/download PDF

28. Validation of ACE-FTS N&lt;sub&gt;2&lt;/sub&gt;O measurements

Author

Strong, K., primary, Wolff, M. A., additional, Kerzenmacher, T. E., additional, Walker, K. A., additional, Bernath, P. F., additional, Blumenstock, T., additional, Boone, C., additional, Catoire, V., additional, Coffey, M., additional, De Mazière, M., additional, Demoulin, P., additional, Duchatelet, P., additional, Dupuy, E., additional, Hannigan, J., additional, Höpfner, M., additional, Glatthor, N., additional, Griffith, D. W. T., additional, Jin, J. J., additional, Jones, N., additional, Jucks, K., additional, Kuellmann, H., additional, Kuttippurath, J., additional, Lambert, A., additional, Mahieu, E., additional, McConnell, J. C., additional, Mellqvist, J., additional, Mikuteit, S., additional, Murtagh, D. P., additional, Notholt, J., additional, Piccolo, C., additional, Raspollini, P., additional, Ridolfi, M., additional, Robert, C., additional, Schneider, M., additional, Schrems, O., additional, Semeniuk, K., additional, Senten, C., additional, Stiller, G. P., additional, Strandberg, A., additional, Taylor, J., additional, Tétard, C., additional, Toohey, M., additional, Urban, J., additional, Warneke, T., additional, and Wood, S., additional

Published
2008
Full Text
View/download PDF

30. Comparison of CMAM simulations of carbon monoxide (CO), nitrous oxide (N&lt;sub&gt;2&lt;/sub&gt;O), and methane (CH&lt;sub&gt;4&lt;/sub&gt;) with observations from Odin/SMR, ACE-FTS, and Aura/MLS

Author

Jin, J. J., primary, Semeniuk, K., additional, Beagley, S. R., additional, Fomichev, V. I., additional, Jonsson, A. I., additional, McConnell, J. C., additional, Urban, J., additional, Murtagh, D., additional, Manney, G. L., additional, Boone, C. D., additional, Bernath, P. F., additional, Walker, K. A., additional, Barret, B., additional, Ricaud, P., additional, and Dupuy, E., additional

Published
2008
Full Text
View/download PDF

31. Validation of ozone measurements from the Atmospheric Chemistry Experiment (ACE)

Author

Dupuy, E., primary, Walker, K. A., additional, Kar, J., additional, Boone, C. D., additional, McElroy, C. T., additional, Bernath, P. F., additional, Drummond, J. R., additional, Skelton, R., additional, McLeod, S. D., additional, Hughes, R. C., additional, Nowlan, C. R., additional, Dufour, D. G., additional, Zou, J., additional, Nichitiu, F., additional, Strong, K., additional, Baron, P., additional, Bevilacqua, R. M., additional, Blumenstock, T., additional, Bodeker, G. E., additional, Borsdorff, T., additional, Bourassa, A. E., additional, Bovensmann, H., additional, Boyd, I. S., additional, Bracher, A., additional, Brogniez, C., additional, Burrows, J. P., additional, Catoire, V., additional, Ceccherini, S., additional, Chabrillat, S., additional, Christensen, T., additional, Coffey, M. T., additional, Cortesi, U., additional, Davies, J., additional, De Clercq, C., additional, Degenstein, D. A., additional, De Mazière, M., additional, Demoulin, P., additional, Dodion, J., additional, Firanski, B., additional, Fischer, H., additional, Forbes, G., additional, Froidevaux, L., additional, Fussen, D., additional, Gerard, P., additional, Godin-Beekman, S., additional, Goutail, F., additional, Granville, J., additional, Griffith, D., additional, Haley, C. S., additional, Hannigan, J. W., additional, Höpfner, M., additional, Jin, J. J., additional, Jones, A., additional, Jones, N. B., additional, Jucks, K., additional, Kagawa, A., additional, Kasai, Y., additional, Kerzenmacher, T. E., additional, Kleinböhl, A., additional, Klekociuk, A. R., additional, Kramer, I., additional, Küllmann, H., additional, Kuttippurath, J., additional, Kyrölä, E., additional, Lambert, J.-C., additional, Livesey, N. J., additional, Llewellyn, E. J., additional, Lloyd, N. D., additional, Mahieu, E., additional, Manney, G. L., additional, Marshall, B. T., additional, McConnell, J. C., additional, McCormick, M. P., additional, McDermid, I. S., additional, McHugh, M., additional, McLinden, C. A., additional, Mellqvist, J., additional, Mizutani, K., additional, Murayama, Y., additional, Murtagh, D. P., additional, Oelhaf, H., additional, Parrish, A., additional, Petelina, S. V., additional, Piccolo, C., additional, Pommereau, J.-P., additional, Randall, C. E., additional, Robert, C., additional, Roth, C., additional, Schneider, M., additional, Senten, C., additional, Steck, T., additional, Strandberg, A., additional, Strawbridge, K. B., additional, Sussmann, R., additional, Swart, D. P. J., additional, Tarasick, D. W., additional, Taylor, J. R., additional, Tétard, C., additional, Thomason, L. W., additional, Thompson, A. M., additional, Tully, M. B., additional, Urban, J., additional, Vanhellemont, F., additional, von Clarmann, T., additional, von der Gathen, P., additional, von Savigny, C., additional, Waters, J. W., additional, Witte, J. C., additional, Wolff, M., additional, and Zawodny, J. M., additional

Published
2008
Full Text
View/download PDF

38. Technical Note: A trace gas climatology derived from the Atmospheric Chemistry Experiment Fourier Transform Spectrometer dataset.

Author

Jones, A., Walker, K. A., Jin, J. J., Taylor, J. R., Boone, C. D., Bernath, P. F., Brohede, S., Manney, G. L., McLeod, S., Hughes, R., and Daffer, W. H.

Abstract

The Atmospheric Chemistry Experiment-Fourier Transform Spectrometer (ACE-FTS) aboard the Canadian satellite SCISAT (launched in August 2003) was designed to investigate the composition of the upper troposphere, stratosphere, and mesosphere. ACE-FTS utilizes solar occultation to measure temperature and pressure as well as vertical profiles of over thirty chemical species including O3, H2O, CH4, N2O, CO, NO, NO2, N2O5, HNO3, HCl, ClONO2, CCl3F, CCl2F2, and HF. Global coverage for each species is obtained approximately over a three month period and measurements are made with a vertical resolution of typically 3-4 km. A quality-controlled climatology has been created for each of these 14 baseline species, where individual profiles are averaged over the period of February 2004 to February 2009. Measurements used are from the ACE-FTS version 2.2 data set including updates for O3 and N2O5. The climatological fields are provided on a monthly and three-monthly basis (DJF, MAM, JJA, SON) at 5 degree latitude and equivalent latitude spacing and on 28 pressure surfaces (26 of which are defined by the Stratospheric Processes And their Role in Climate (SPARC) Chemistry Climate Model validation activity). The ACE-FTS climatological dataset is available through the ACE website. [ABSTRACT FROM AUTHOR]

Published
2011
Full Text
View/download PDF

39. Seasonal variation of trans-Pacific transport of carbon monoxide (CO) in the upper troposphere: MLS observations and GEOS-Chem and GEM-AQ simulations.

Author

Jin, J. J., Livesey, N. J., Jiang, J. H., Lupu, A., Kaminski, J. W., and McConnell, J. C.

Abstract

Multi-year Microwave Limb Sounder (MLS) carbon monoxide (CO) measurements at 215 hPa are employed to present a climatological view of seasonal variation of upper tropospheric trans-Pacific transport of Asian air pollution. The measurements show that the transport peaks in late boreal spring and early boreal summer. Although the strongest Asian air pollution outflow occurs in boreal summer, the "transport pathway" over the northeast Pacific is narrower in summer than in spring. Results from two tropospheric chemistry models GEOS-Chem and GEM-AQ are compared to MLS observations. Both models reproduce the strong trans-Pacific transport in boreal spring and summer well, but show different morphologies over Southeast Asia in winter and fall. A tagged CO simulation using GEOS-Chem indicates that Asian fossil fuel is the biggest source of upper tropospheric CO over the north Pacific in all seasons, excepting methane (CH4) and non-methane hydrocarbons, although there are large fires in Southeast Asia in boreal spring and fall. A sensitivity test indicates that deep convection has a large effect on upper tropospheric CO abundances, increasing the abundances by more than 40%, over the north Pacific in boreal spring. In boreal summer, however, the increase is not significant over the north Pacific although it is large over continental Asia. [ABSTRACT FROM AUTHOR]

Published
2011
Full Text
View/download PDF

40. First multi-year occultation observations of CO2 in the MLT by ACE satellite: observations and analysis using the extended CMAM.

Author

Beagley, S. R., Boone, C. D., Fomichev, V. I., Jin, J. J., Semeniuk, K., McConnell, J. C., and Bernath, P. F.

Subjects
ARTIFICIAL satellites, SOLAR system, CARBON dioxide, ATMOSPHERIC aerosols, ATMOSPHERIC chemistry, STRATOSPHERIC aerosols, TROPOSPHERIC aerosols
Abstract

This paper presents the first global set of observations of CO2 in the mesosphere and lower thermosphere (MLT) obtained by the ACE-FTS instrument on SCISAT-I, a small Canadian satellite launched in 2003. The observations use the solar occultation technique and document the fall-off in the mixing ratio of CO2 in the MLT region. The beginning of the fall-off of the CO2, or "knee" occurs at about 78 km and lies higher than in the CRISTA-1 measurements (∼70 km) but lower than in the SABER 1.06 (∼80 km) and much lower than in rocket measurements. We also present the measurements of CO obtained concurrently which provide important constraints for analysis. We have compared the ACE measurements with simulations of the CO2 and CO distributions in the vertically extended version of the Canadian Middle Atmosphere Model (CMAM). Applying standard chemistry we find that we cannot get agreement between the model and ACE CO2 observations although the CO observations are adequately reproduced. There appears to be about a 10 km offset compared to the observed ACE CO2, with the model "knee" occurring too high. In analyzing the disagreement, we have investigated the variation of several parameters of interest (photolysis rates, formation rate for CO2, and the impact of uncertainty in turbulent eddy diffusion) in order to explore parameter space for this problem. Our conclusions are that there must be a loss process for CO2, about 2-4 times faster than photolysis that will sequester the carbon in some form other than CO and we have speculated on the role of meteoritic dust as a possible candidate. In addition, from this study we have highlighted a possible important role for unresolved vertical eddy diffusion in 3-D models in determining the distribution of candidate species in the mesosphere which requires further study. [ABSTRACT FROM AUTHOR]

Published
2010
Full Text
View/download PDF

41. Comparison of CMAM simulations of carbon monoxide (CO), nitrous oxide (N2O), and methane (CH4) with observations from Odin/SMR, ACE-FTS, and Aura/MLS.

Author

Jin, J. J., Semeniuk, K., Beagley, S. R., Fomichev, V. I., Jonsson, A. I., McConnell, J. C., Urban, J., Murtagh, D., Manney, G. L., Boone, C. D., Bernath, P. F., Walker, K. A., Barret, B., Ricaud, P., and Dupuy, E.

Subjects
SIMULATION methods & models, CARBON monoxide, NITROUS oxide, METHANE, ATMOSPHERE, SPECTROMETERS, TELECOMMUNICATION satellites
Abstract

Simulations of CO, N2O and CH4 from a coupled chemistry-climate model (CMAM) are compared with satellite measurements from Odin Sub-Millimeter Radiometer (Odin/SMR), Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS), and Aura Microwave Limb Sounder (Aura/MLS). Pressure-latitude cross-sections and seasonal time series demonstrate thatCMAMreproduces the observed global CO, N2O, and CH4 distributions quite well. Generally, excellent agreement with measurements is found between CO simulations and observations in the stratosphere and mesosphere. Differences between the simulations and the ACE-FTS observations are generally within 30%, and the differences between CMAM results and SMR and MLS observations are slightly larger. These differences are comparable with the difference between the instruments in the upper stratosphere and mesosphere. Comparisons of N2O show that CMAM results are usually within 15% of the measurements in the lower and middle stratosphere, and the observations are close to each other. However, the standard version of CMAM has a low N2O bias in the upper stratosphere. The CMAM CH4 distribution also reproduces the observations in the lower stratosphere, but has a similar but smaller negative bias in the upper stratosphere. The negative bias may be due to that the gravity drag is not fully resolved in the model. The simulated polar CO evolution in the Arctic and Antarctic agrees with the ACE and MLS observations. CO measurements from 2006 show evidence of enhanced descent of air from the mesosphere into the stratosphere in the Arctic after strong stratospheric sudden warmings (SSWs). CMAM also shows strong descent of air after SSWs. In the tropics, CMAM captures the annual oscillation in the lower stratosphere and the semiannual oscillations at the stratopause and mesopause seen in Aura/MLS CO and N2O observations and in Odin/SMR N2O observations. The Odin/SMR and Aura/MLS N2O observations also show a quasi-biennial oscillation (QBO) in the upper stratosphere, whereas, the CMAM does not have QBO included. This study confirms that CMAM is able to simulate middle atmospheric transport processes reasonably well. [ABSTRACT FROM AUTHOR]

Published
2009
Full Text
View/download PDF

42. First multi-year occultation observations of CO2 in the MLT by ACE satellite: observations and analysis using the extended CMAM.

Author

Beagley, S. R., Boone, C. D., Fomichev, V. I., Jin, J. J., Semeniuk, K., McConnell, J. C., and Bernath, P. F.

Abstract

This paper presents the first multi-year global set of observations of CO2 in the mesosphere and lower thermosphere (MLT) obtained by the ACE-FTS instrument on SCISAT-l, a small Canadian satellite launched in 2003. The observations use the solar occultation technique and document the fall-off in the mixing ratio of CO2 in the MLT region. The beginning of the fall-off of the CO2, or "knee" occurs at about 78 km and lies higher than in the CRISTA measurements (∼70 km) but lower than in the SABER 1.06 (∼82 km) and much lower than in rocket measurements. We also present the measurements of CO obtained concurrently which provide important constraints for analysis. We have compared the ACE measurements with simulations of the CO2 and CO distributions in the vertically extended version of the Canadian Middle Atmosphere Model (CMAM). Applying standard chemistry we find that we cannot get agreement between the model and ACE CO2 observations although the CO observations are adequately reproduced. There appears to be about a 10 km offset compared to the observed ACE CO2, with the model knee occurring too high. In analysing the disagreement, we have investigated the variation of several parameters of interest, photolysis rates, formation rate for CO2, and the impact of uncertainty in eddy diffusion, in order to explore parameter space for this problem. Our conclusions are that there must be a loss process for CO2, about 2-4 times faster than photolysis that will sequester the carbon in some form other than CO and we have speculated on the role of meteoritic dust as a possible candidate. In addition, from this study we have highlighted a possible important role for vertical eddy diffusion in 3-D models in determining the distribution of candidate species in the mesosphere which requires further study. [ABSTRACT FROM AUTHOR]

Published
2009
Full Text
View/download PDF

43. Validation of ACE-FTS N2O measurements.

Author

Strong, K., Wolff, M. A., Kerzenmacher, T. E., Walker, K. A., Bernath, P. F., Blumenstock, T., Boone, C., Catoire, V., Coffey, M., De Mazière, M., Demoulin, P., Duchatelet, P., Dupuy, E., Hannigan, J., Höpfner, M., Glatthor, N., Griffith, D. W. T., Jin, J. J., Jones, N., and Jucks, K.

Subjects
TELECOMMUNICATION satellites, SPECTROMETERS, NITROGEN oxides, NITROUS oxide, SPECTRUM analysis instruments, MASS spectrometers
Abstract

The Atmospheric Chemistry Experiment (ACE), also known as SCISAT, was launched on 12 August 2003, carrying two instruments that measure vertical profiles of atmospheric constituents using the solar occultation technique. One of these instruments, the ACE Fourier Transform Spectrometer (ACE-FTS), is measuring volume mixing ratio (VMR) profiles of nitrous oxide (N2O) from the upper troposphere to the lower mesosphere at a vertical resolution of about 3-4 km. In this study, the quality of the ACE-FTS version 2.2 N2O data is assessed through comparisons with coincident measurements made by other satellite, balloonborne, aircraft, and ground-based instruments. These consist of vertical profile comparisons with the SMR, MLS, and MIPAS satellite instruments, multiple aircraft flights of ASUR, and single balloon flights of SPIRALE and FIRS-2, and partial column comparisons with a network of groundbased Fourier Transform InfraRed spectrometers (FTIRs). Between 6 and 30 km, the mean absolute differences for the satellite comparisons lie between -42 ppbv and +17 ppbv, with most within ±20 ppbv. This corresponds to relative deviations from the mean that are within ±15%, except for comparisons with MIPAS near 30 km, for which they are as large as 22.5%. Between 18 and 30 km, the mean absolute differences for the satellite comparisons are generally within ±10 ppbv. From 30 to 60 km, the mean absolute differences are within ±4 ppbv, and are mostly between -2 and +1 ppbv. Given the small N2O VMR in this region, the relative deviations from the mean are therefore large at these altitudes, with most suggesting a negative bias in the ACE-FTS data between 30 and 50 km. In the comparisons with the FTIRs, the mean relative differences between the ACE-FTS and FTIR partial columns (which cover a mean altitude range of 14 to 27 km) are within ±5.6% for eleven of the twelve contributing stations. This mean relative difference is negative at ten stations, suggesting a small negative bias in the ACE-FTS partial columns over the altitude regions compared. Excellent correlation (R=0.964) is observed between the ACE-FTS and FTIR partial columns, with a slope of 1.01 and an intercept of -0.20 on the line fitted to the data. [ABSTRACT FROM AUTHOR]

Published
2008
Full Text
View/download PDF

45. Comparison of CMAM simulations of carbon monoxide (CO), nitrous oxide (N2O), and methane (CH4) with observations from Odin/SMR, ACE-FTS, and Aura/MLS.

Author

Jin, J. J., Semeniuk, K., Beagley, S. R., Fomichev, V. I., Jonsson, A. I., McConnell, J. C., Urban, J., Murtagh, D., Manney, G. L., Boone, C. D., Bernath, P. F., Walker, K. A., Barret, B., Ricaud, P., and Dupuy, E.

Abstract

Simulations of CO, N2O and CH4 from a coupled chemistry-climate model (CMAM) are compared with satellite measurements from Odin Sub-Millimeter Radiometer (Odin/SMR), Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS), and Aura Microwave Limb Sounder (Aura/MLS). Pressure-latitude cross-sections and seasonal time series demonstrate that CMAM reproduces the observed global distributions and the polar winter time evolutions of the CO, N2O, and CH4 measurements quite well. Generally, excellent agreement with measurements is found in CO monthly zonal mean profiles in the stratosphere and mesosphere for various latitudes and seasons. The difference between the simulations and the observations are generally within 30%, which is comparable with the difference between the instruments in the upper stratosphere and mesosphere. In general, the CO measurements also show an excellent agreement between themselves although MLS retrievals are noisier than other retrievals above 10 hPa (∼32 km). The measurements also show large difference in the lower stratosphere and upper troposphere. Comparisons of N2O show that CMAM results usually have a less than 15% difference to the measurements in the lower and middle stratosphere, and the observations are consistent as well. However, the standard version of CMAM has a serious low bias in the upper stratosphere. The CMAM CH4 distribution is also close to the observations in the lower stratosphere, but has a similar but smaller negative bias in the upper stratosphere. These negative biases can be reduced by introducing a vertical diffusion coefficient related to gravity wave drag. CO measurements from 2004 and 2006 show evidence of enhanced descent of air from the mesosphere into the stratosphere in the Arctic after strong stratospheric sudden warmings (SSWs). CMAM also shows strong descent of air after SSWs, but further investigation is needed. In the tropics, CMAM captures the "tape recorder" (or annual oscillation) in the lower stratosphere and the semiannual oscillations (SAO) at the stratopause and mesopause shown in MLS CO and SMR N2O observations. The inter-annual variation of the SAO at the stratopause in SMR N2O observations also shows a biennial oscillation, but CMAM cannot does not reproduce this feature. However, this study confirms that CMAM is able to simulate middle atmospheric transport processes reasonably well. [ABSTRACT FROM AUTHOR]

Published
2008
Full Text
View/download PDF

46. Partitioning between the inorganic chlorine reservoirs HCl and ClONO2 during the Arctic winter 2005 from the ACE-FTS.

Author

Dufour, G., Nassar, R., Boone, C. D., Skelton, R., Walker, K. A., Bernath, P. F., Rinsland, C. P., Semeniuk, K., Jin, J. J., McConnell, J. C., and Manney, G. L.

Subjects
CHLORINE, SPECTROMETERS, ATMOSPHERIC chemistry, FOURIER transform spectroscopy, HYDROCHLORIC acid, STRATOSPHERE
Abstract

From January to March 2005, the Atmospheric Chemistry Experiment high resolution Fourier transform spectrometer (ACE-FTS) on SCISAT-1 measured many of the changes occurring in the Arctic (50-80° N) lower stratosphere under very cold winter conditions. Here we focus on the partitioning between the inorganic chlorine reservoirs HCl and ClONO2 and their activation into ClO. The simultaneous measurement of these species by the ACE-FTS provides the data needed to follow chlorine activation during the Arctic winter and the recovery of the Cl-reservoir species ClONO2 and HCl. The time evolution of HCl, ClONO2 and ClO as well as the partitioning between the two reservoir molecules agrees well with previous observations and with our current understanding of chlorine activation during Arctic winter. The results of a chemical box model are also compared with the ACE-FTS measurements and are generally consistent with the measurements. [ABSTRACT FROM AUTHOR]

Published
2006
Full Text
View/download PDF

47. Synthesis and Ionic Conductivity of Cyclosiloxanes with Ethyleneoxy-Containing Substituents

Author

Zhang, Z., Lyons, L. J., Jin, J. J., Amine, K., and West, R.

Abstract

Pentamethylcyclopentasiloxanes (D5H) with oligo(ethylene glycol) substituents, D5N3 and D5S3, and a short-chain siloxane derivative MD6N3M were synthesized by B(C6F5)3-catalyzed dehydrogenative coupling and by platinum-catalyzed hydrosilylation reactions. Conductivities were studied when doped with lithium bis(trifluoromethylsulfonyl)imide (LiTFSI). The oxygen-linked cyclic siloxane D5N3 exhibits higher conductivity than trimethylene-linked siloxane D5S3. The substituted linear oligmeric siloxane MD6N3M has a lower Tg than the D5 siloxanes, and showed much higher conductivity at the same Li+ concentration. The curvature of the plot of conductivity vs temperature dependence indicates a free volume mechanism of ion transport.

Published
2005

49. Validation of ACE-FTS N2O measurements

Author

Strong, K., Wolff, M. A., Kerzenmacher, T. E., Walker, K. A., Bernath, P. F., Blumenstock, T., Boone, C., Catoire, V., Coffey, M., Mazière, M., Demoulin, P., Duchatelet, P., Dupuy, E., Hannigan, J., Höpfner, M., Glatthor, N., Griffith, D. W. T., Jin, J. J., Jones, N., Jucks, K., Kuellmann, H., Kuttippurath, J., Lambert, A., Mahieu, E., Mcconnell, J. C., Mellqvist, J., Mikuteit, S., Murtagh, D. P., Justus Notholt, Piccolo, C., Raspollini, P., Ridolfi, M., Robert, C., Schneider, M., Schrems, O., Semeniuk, K., Senten, C., Stiller, G. P., Strandberg, A., Taylor, J., Tétard, C., Toohey, M., Urban, J., Warneke, T., and Wood, S.

50. Validation of ACE-FTS N2O measurements

Author

Strong, K., Wolff, M. A., Kerzenmacher, T. E., Walker, K. A., Bernath, P. F., Blumenstock, T., Boone, C., Valéry CATOIRE, Coffey, M., Maziere, M., Demoulin, P., Duchatelet, P., Dupuy, E., Hannigan, J., Hoepfner, M., Glatthor, N., Griffith, D. W. T., Jin, J. J., Jones, N., Jucks, K., Kuellmann, H., Kuttippurath, J., Lambert, A., Mahieu, E., Mcconnell, J. C., Mellqvist, J., Mikuteit, S., Murtagh, D. P., Notholt, J., Piccolo, C., Raspollini, P., Ridolfi, M., Robert, C., Schneider, M., Schrems, O., Semeniuk, K., Senten, C., Stiller, G. P., Strandberg, A., Taylor, J., Tetard, C., Toohey, M., Urban, J., Warneke, T., Wood, S., K. Strong, M.A. Wolff, T.E. Kerzenmacher, K.A. Walker, P.F. Bernath, T. Blumenstock, C. Boone, V. Catoire, M. Coffey, M. De Mazi\`ere, P. Demoulin, P. Duchatelet, E. Dupuy, J. Hannigan, M. H\'opfner, N. Glatthor, D.W.T. Griffith, J.J. Jin, N. Jone, K. Juck, H. Kuellmann, J. Kuttippurath, A. Lambert, E. Mahieu, J.C. McConnell, J. Mellqvist, S. Mikuteit, D.P. Murtagh, J. Notholt, C. Piccolo, P. Raspollini, M. Ridolfi, C. Robert, M. Schneider, O. Schrem, K. Semeniuk, C. Senten, G.P. Stiller, A. Strandberg, J. Taylor, C. Tétard, M. Toohey, J. Urban, T. Warneke, and S. Wood

Subjects
lcsh:Chemistry, lcsh:QD1-999, lcsh:Physics, lcsh:QC1-999
Abstract

The Atmospheric Chemistry Experiment (ACE), also known as SCISAT, was launched on 12 August 2003, carrying two instruments that measure vertical profiles of atmospheric constituents using the solar occultation technique. One of these instruments, the ACE Fourier Transform Spectrometer (ACE-FTS), is measuring volume mixing ratio (VMR) profiles of nitrous oxide (N2O) from the upper troposphere to the lower mesosphere at a vertical resolution of about 3–4 km. In this study, the quality of the ACE-FTS version 2.2 N2O data is assessed through comparisons with coincident measurements made by other satellite, balloon-borne, aircraft, and ground-based instruments. These consist of vertical profile comparisons with the SMR, MLS, and MIPAS satellite instruments, multiple aircraft flights of ASUR, and single balloon flights of SPIRALE and FIRS-2, and partial column comparisons with a network of ground-based Fourier Transform InfraRed spectrometers (FTIRs). Between 6 and 30 km, the mean absolute differences for the satellite comparisons lie between −42 ppbv and +17 ppbv, with most within ±20 ppbv. This corresponds to relative deviations from the mean that are within ±15%, except for comparisons with MIPAS near 30 km, for which they are as large as 22.5%. Between 18 and 30 km, the mean absolute differences for the satellite comparisons are generally within ±10 ppbv. From 30 to 60 km, the mean absolute differences are within ±4 ppbv, and are mostly between −2 and +1 ppbv. Given the small N2O VMR in this region, the relative deviations from the mean are therefore large at these altitudes, with most suggesting a negative bias in the ACE-FTS data between 30 and 50 km. In the comparisons with the FTIRs, the mean relative differences between the ACE-FTS and FTIR partial columns (which cover a mean altitude range of 14 to 27 km) are within ±5.6% for eleven of the twelve contributing stations. This mean relative difference is negative at ten stations, suggesting a small negative bias in the ACE-FTS partial columns over the altitude regions compared. Excellent correlation (R=0.964) is observed between the ACE-FTS and FTIR partial columns, with a slope of 1.01 and an intercept of −0.20 on the line fitted to the data.

Catalog

Books, media, physical & digital resources
See catalog results