Publications

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, Lamy, K., Portafaix, T., Brogniez, C., Lakkala, K., Pitkänen, M. R. A., Arola, A., Forestier, J.-B., Amelie, V., Toihir, M. A. & Rakotoniaina, S., UV-Indien network: ground-based measurements dedicated to the monitoring of UV radiation over the western Indian Ocean, Earth System Science Data, 13(9), 4275-4301, https://doi.org/10.5194/essd-13-4275-2021
Tags: Erythemal UV, Spectral UV

2021, Wohltmann, I., ., von der Gathen, P., Lehmann, R., Deckelmann, H., Manney, G. L., Davies, J., et al. , Chemical evolution of the exceptional Arctic stratospheric winter 2019/2020 compared to previous Arctic and Antarctic winters, Journal of Geophysical Research: Atmospheres, 126, e2020JD034356, https://doi.org/10.1029/2020JD034356
Tags: Ozone, Polar, Sonde

2021, Tu, Q., F. Hase, T. Blumenstock, M. Schneider, A. Schneider, R. Kivi, P. Heikkinen, B. Ertl, C. Diekmann, F. Khosrawi, M. Sommer, T. Borsdorff, and U. Raffalski, Intercomparison of arctic xh2o observations from three ground-based Fourier transform infrared networks and application for satellite validation, , Atmospheric Measurement Techniques, 14(3), 1993-2011, https://doi.org/10.5194/amt-14-1993-2021
Tags: FTIR, Polar, Satellite, Sonde, XH2O

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, 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, 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

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

2016, Moshammer, H., Simic, S.; Haluza, D., UV 'Indices'-What Do They Indicate?, International Journal of Environmental Research and Public Health, 13(10)
Tags: Erythemal UV, Spectral UV, UV Index