Publications

2022, Shan, C., Wang, W., Xie, Y., Wu, P., Xu, J., Zeng, X., Zha, L., Zhu, Q., Sun, Y., Hu, Q., Liu, C., and Jones, N., Observations of atmospheric CO2 and CO based on in-situ and ground-based remote sensing measurements at Hefei site, Science of the Total Environment, 851, 158188, https://doi.org/10.1016/j.scitotenv.2022.158188
Tags: CO, CO2, FTIR

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, Malina, E., Veihelmann, B., Buschmann, M., Deutscher, N. M., Feist, D. G., and Morino, I., On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases, Atmospheric Measurement Techniques, 15, 2377–2406, https://doi.org/10.5194/amt-15-2377-2022
Tags: CH4, FTIR

2022, Callewaert, S., Brioude, J., Langerock, B., Duflot, V., Fonteyn, D., Müller, J.-F., Metzger, J.-M., Hermans, C., Kumps, N., Ramonet, M., Lopez, M., Mahieu, E. and De Mazière, M, Analysis of CO2, CH4, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations, Atmospheric Chemistry and Physics, 22(11), 7763–7792, https://doi.org/10.5194/acp-22-7763-2022
Tags: CH4, CO, CO2, FTIR

2022, Gordon, I.E., L.S. Rothman, et al., The HITRAN2020 molecular spectroscopic database, Journal of Quantitative Spectroscopy and Radiative Transfer, 277, 107949, https://doi.org/10.1016/j.jqsrt.2021.107949
Tags: Database, FTIR

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, Lutsch, E., D. Wunch, D. B. A. Jones, C. Clerbaux, J. W. Hannigan, T.-L. He, I. Ortega, S. Roche, K. Strong, and H. M. Worden, Can the data assimilation of CO from MOPITT or IASI constrain high-latitude wildfire emissions? A Case Study of the 2017 Canadian Wildfires, Earth and Space Science, p. 44, https://doi.org/10.1002/essoar.10510875.1
Tags: CO, Fire, Model, Satellite

2022, Noël, S., M. Reuter, M. Buchwitz, J. Borchardt, M. Hilker, O. Schneising, H. Bovensmann, J.P. Burrows, A. Di Noia, R.J. Parker, H. Suto, Y. Yoshida, M. Buschmann, N.M. Deutscher, D.G. Feist, D.W.T. Griffith, F. Hase, R. Kivi, C. Liu, I. Morino, J. Notholt, Y.-S. Oh, H. Ohyama, C. Petri, D.F. Pollard, M. Rettinger, C. Roehl, C. Rousogenous, M.K. Sha, K. Shiomi, K. Strong, R. Sussmann, Y. Té, V.A. Velazco, M. Vrekoussis, and T. Warneke, Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm, Atmospheric Measurement Techniques, 15, 3401-3437, https://doi.org/10.5194/amt-15-3401-2022
Tags: Algorithm, FTIR, Satellite

2022, Strahan, S.E., D. Smale, S. Solomon, G. Taha, M. R. Damon, S. D. Steenrod, N. Jones, B. Liley, R. Querel and J. Robinson, Unexpected Repartitioning of Stratospheric Inorganic Chlorine After the 2020 Australian Wildfires, Geophysical Research Letters, 49(14): e2022GL098290
Tags: Cl, Fire, Model

2022, Schneider, M., Ertl, B., Diekmann, C. J., Khosrawi, F., Weber, A., Hase, F., Höpfner, M., García, O. E., Sepúlveda, E., and Kinnison, D., Design and description of the MUSICA IASI full retrieval product, Earth System Science Data, 14, 709–742, https://doi.org/10.5194/essd-14-709-2022
Tags: FTIR, Satellite