Publications
- 17 results
- Tag: C2H2
- Tag: Timeseries
- Tag: XCH4
- Clear all
2023, Zhou, M., Langerock, B., Wang, P., Vigouroux, C., Ni, Q., Hermans, C., Dils, B., Kumps, N., Nan, W., and De Mazière, M., Understanding the variations and sources of CO, C2H2, C2H6, H2CO, and HCN columns based on 3 years of new ground-based Fourier transform infrared measurements at Xianghe, China, Atmospheric Measurement Techniques, 16, 273–293, https://doi.org/10.5194/amt-16-273-2023
Tags: C2H2, C2H6, CO, FTIR, H2CO, HCN
2023, Ortega, I., B. Gaubert, J.W. Hannigan, G. Brasseur, H.M. Worden, T. Blumenstock, H. Fu, F. Hase, P. Jeseck, N. Jones, C. Liu, E. Mahieu, I. Morino, I. Murata, J. Notholt, M. Palm, A. Röhling, Y. Té, K. Strong, Y. Sun, S. Yamanouchi, Anomalies of O3, CO, C2H2, H2CO, and C2H6 detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability, Elementa: Science of the Anthropocene, 11 (1): 00015, https://doi.org/10.1525/elementa.2023.00015
Tags: C2H2, C2H6, CO, COVID, FTIR, H2CO, Ozone
2022, Trieu, T.T.N., I. Morino, O. Uchino, Y. Tsutsumi, T. Sakai, T. Nagai, A. Yamazaki, H. Okumura, K. Arai, K. Shiomi, D.F. Pollard, B. Liley , Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data, International Journal of Remote Sensing, 43:5, 1770-1799, https://doi.org/10.1080/01431161.2022.2038395
Tags: Aerosol, Clouds, FTIR, Lidar, Satellite, UVVis, XCH4, XCO2
2022, Butz, A., Hanft V., Kleinschek R., Frey M. M., Müller A., Knapp M., Morino I., Agusti-Panareda A., Hase F., Landgraf J., Vardag S., Tanimoto H., Versatile and Targeted Validation of Space-Borne XCO2, XCH4 and XCO Observations by Mobile Ground-Based Direct-Sun Spectrometers, Frontiers in Remote Sensing, 2, 53, https://doi.org/10.3389/frsen.2021.775805
Tags: FTIR, Validation, XCH4, XCO, XCO2
2022, Petropavlovskikh, I., Miyagawa, K., McClure-Beegle, A., Johnson, B., Wild, J., Strahan, S., Wargan, K., Querel, R., Flynn, L., Beach, E., Ancellet, G., and Godin-Beekmann, S., Optimized Umkehr profile algorithm for ozone trend analyses, Atmospheric Measurement Techniques, 15, 1849–1870, https://doi.org/10.5194/amt-15-1849-2022
Tags: Ozone, Timeseries, Umkehr
2021, Stanevich, I., D.B.A. Jones, K. Strong, M. Keller, D.K. Henze, R.J. Parker, H. Boesch, D. Wunch, J. Notholt, C. Petri, T. Warneke, R. Sussmann, M. Schneider, F. Hase, R. Kivi, N.M. Deutscher, V.A. Velazco, K.A. Walker, and F. Deng, Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation, Atmospheric Chemistry and Physics, 21, 9545–9572, https://doi.org/10.5194/acp-21-9545-2021
Tags: FTIR, Satellite, CH4, XCH4
2020, Trickl, T., H. Giehl, F. Neidl, M. Perfahl, H. Vogelmann, Three decades of tropospheric ozone lidar development at Garmisch-Partenkirchen, Germany, Atmospheric Measurement Techniques, 13, 6357–6390, https://doi.org/10.5194/amt-13-6357-2020
Tags: Lidar, Ozone, Timeseries
2018, Sterling, C.W., B.J. Johnson, S.J. Oltmans, H.G.J .Smit, A.F. Jordan, P.D. Cullis, E.G. Hall, A.M. Thompson and J.C. Witte, Homogenizing and estimating the uncertainty in NOAAs long-term vertical ozone profile records measured with the electrochemical concentration cell ozonesonde, Atmospheric Measurement Techniques, 11, 3661-3687, https://doi.org/10.5194/amt-11-3661-2018
Tags: CalVal, Sonde, Timeseries, Tropospheric Ozone
2015, Duflot, V., Wespes, C., Clarisse, L., Hurtmans, D., Ngadi, Y., Jones, N., Paton-Walsh, C., Hadji-Lazaro, J., Vigouroux, C., De Mazière, M., Metzger, J.-M., Mahieu, E., Servais, C., Hase, F., Schneider, M., Clerbaux, C., and Coheur, P.-F., Acetylene (C2H2) and hydrogen cyanide (HCN) from IASI satellite observations: global distributions, validation, and comparison with model, Atmospheric Chemistry and Physics, 15(18), 10509-10527, https://doi.org/10.5194/acp-15-10509-2015
Tags: C2H2, FTIR, HCN, Satellite, Validation