Publications

2021, You, Y., B. Byrne, O. Colebatch, R.L. Mittermeier, F. Vogel, and K. Strong, Quantifying the impact of the COVID-19 pandemic restrictions on CO, CO2, and CH4 in downtown Toronto using open-path Fourier transform spectroscopy, Atmosphere, 12(7), 848, https://doi.org/10.3390/atmos12070848
Tags: FTIR, CO, CO2, CH4

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

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, 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, 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

2020, Byrne, B., J. Liu, M. Lee, I. Baker, K. W. Bowman, N. M. Deutscher, D. G. Feist, D. W. T. Griffith, L. T. Iraci, M. Kiel, J. S. Kimball, C. E. Miller, I. Morino, N. C. Parazoo, C. Petri, C. M. Roehl, M. K. Sha, K. Strong, V. A. Velazco, P. O. Wennberg, D. Wunch, Improved constraints on northern extratropical CO2 fluxes obtained by combining surface-based and space-based atmospheric CO2 measurements, Journal of Geophysical Research: Atmospheres, 125, e2019JD032029, https://doi.org/10.1029/2019JD032029
Tags: CO2, FTIR, Satellite

2020, Tu, Q., Hase, F., Blumenstock, T., Kivi, R., Heikkinen, P., Sha, M. K., Raffalski, U., Landgraf, J., Lorente, A., Borsdorff, T., Chen, H., Dietrich, F., and Chen, J., Intercomparison of atmospheric CO2 and CH4 abundances on regional scales in boreal areas using Copernicus Atmosphere Monitoring Service (CAMS) analysis, COllaborative Carbon Column Observing Network (COCCON) spectrometers, and Sentinel-5 Precursor satellite observations, Atmospheric Measurement Techniques, 13, 4751–4771, https://doi.org/10.5194/amt-13-4751-2020
Tags: CH4, CO2, FTIR, Model

2020, Sussmann, R., Rettinger, M., Can We Measure a COVID-19–Related Slowdown in Atmospheric CO2 Growth? Sensitivity of Total Carbon Column Observations, Remote Sensing, 12(15), 2387, https://doi.org/10.3390/rs12152387
Tags: FTIR, 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

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