Publications

2021, Sha, M., B. Langerock, J.-F. L. Blavier, T. Blumenstock, T. Borsdorff, M. Buschmann, A. Dehn, M. De Mazière, N. M. Deutscher, D. G. Feist, O. E. García, D. W. T. Griffith, M. Grutter, J. W. Hannigan, F. Hase, P. Heikkinen, C. Hermans, L. T. Iraci, P. Jeseck, N. Jones, R. Kivi, N. Kumps, J. Landgraf, A. Lorente, E. Mahieu, M. V. Makarova, J. Mellqvist, J.-M. Metzger, I. Morino, T. Nagahama, J. Notholt, H. Ohyama, I. Ortega, M. Palm, C. Petri, D. F. Pollard, M. Rettinger, J. Robinson, S. Roche, C. M. Roehl, A. N. Röhling, C. Rousogenous, M. Schneider, K. Shiomi, D. Smale, W. Stremme, K. Strong, R. Sussmann, Y. Té, O. Uchino, V. A. Velazco, C. Vigouroux, M. Vrekoussis, P. Wang, T. Warneke, T. Wizenberg, D. Wunch, S. Yamanouchi, Y. Yang, and M. Zhou, Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stations, Atmospheric Measurement Techniques, 14, 6249–6304, https://doi.org/10.5194/amt-14-6249-2021
Tags: CalVal, CH4, CO, FTIR

2021, David, L., et al., XCO2 estimates from the OCO-2 measurements using a neural network approach, Atmospheric Measurement Techniques, 14, 117–132, https://doi.org/10.5194/amt-14-117-2021
Tags: FTIR, XCO2

2021, Dogniaux, M., C. Crevoisier, R. Armante, V. Capelle, T. Delahaye, V. Cassé, M. De Mazière, N. M. Deutscher, D.G. Feist, O.E. Garcia, D.W.T. Griffith, F. Hase, L.T. Iraci, R. Kivi, I. Morino, J. Notholt, D.F. Pollard, C.M. Roehl, K. Shiomi, K. Strong, Y. Té, V.A. Velazco, and T. Warneke, The Adaptable 4A Inversion (5AI): description and first XCO2 retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations, Atmospheric Measurement Techniques, 14, 4689–4706, https://doi.org/10.5194/amt-14-4689-2021
Tags: FTIR, Satellite, XCO2

2021, Massie, S.T., et al., Analysis of 3D cloud effects in OCO-2 XCO2 retrievals, Atmospheric Measurement Techniques, 14, 1475–1499, https://doi.org/10.5194/amt-14-1475-2021
Tags: FTIR, XCO2

2021, Noel, S., et al., XCO2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm, Atmospheric Measurement Techniques, 14, 3837–3869, https://doi.org/10.5194/amt-14-3837-2021
Tags: FTIR, XCO2

2020, Yamanouchi, S., K. Strong, E. Lutsch, and D.B.A. Jones, Detection of HCOOH, CH3OH, CO, HCN, and C2H6 in wildfire plumes transported over Toronto using ground-based FTIR measurements from 2002–2018, Journal of Geophysical Research: Atmospheres, 125, e2019JD031924, https://doi.org/10.1029/2019JD031924
Tags: FTIR, Fire, HCOOH, CH3OH, CO, HCN, C2H6

2020, Sun, Y., Liu, C., Zhang, L., Palm, M., Notholt, J., Yin, H., Vigouroux, C., Lutsch, E., Wang, W., Shan, C., Blumenstock, T., Nagahama, T., Morino, I., Mahieu, E., Strong, K., Langerock, B., De Mazière, M., Hu, Q., Zhang, H., Petri, C., and Liu, J., Fourier transform infrared time series of tropospheric HCN in eastern China: seasonality, interannual variability, and source attribution, Atmospheric Chemistry and Physics, 20, 5437–5456, https://doi.org/10.5194/acp-20-5437-2020
Tags: FTIR, HCN

2020, Wang, S., et al., Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements, Remote Sensing, 12(14), 2204, https://doi.org/10.3390/rs12142204
Tags: FTIR, Satellite, CalVal, CO2

2020, Yang, D., et al., Toward high precision XCO2 retrievals from TanSat observations: Retrieval improvement and validation against TCCON measurements, Journal of Geophysical Research: Atmospheres, 125, e2020JD032794, https://doi.org/10.1029/2020JD032794
Tags: FTIR, XCO2

2019, Mendonca, J., K. Strong, D. Wunch, G.C. Toon, D.A. Long, J.T. Hodges, V.T. Sironneau, and J.E. Franklin, Using a speed-dependent Voigt line shape to retrieve O2 from Total Carbon Column Observing Network solar spectra to improve measurements of XCO2, Atmospheric Measurement Techniques, 12, 35-50, https://doi.org/10.5194/amt-12-35-2019
Tags: FTIR, O2, XCO2