Publications
- 64 results
- Tag: Calibration
- Tag: NO
- Tag: PSC
- Tag: XCO2
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2021, Snels, M., Francesco Cairo, Luca Di Liberto, Andrea Scoccione, Marco Bracaglia, Terry Deshler, Comparison of Coincident Optical Particle Counter and Lidar Measurements of Polar Stratospheric Clouds above McMurdo (77.85S, 166.67E) from 1994 to 1999, Journal of Geophysical Research: Atmospheres, 126, 6
Tags: Lidar, PSC
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, Livesey, N.J., W.G. Read, L. Froidevaux, A. Lambert, M.L. Santee, M.J. Schwartz, L.F. Millán, R.F. Jarnot, P.A. Wagner, D.F. Hurst, K.A. Walker, P.E. Sheese, and G.E. Nedoluha, Investigation and amelioration of long-term instrumental drifts in water vapor and nitrous oxide measurements from the Aura Microwave Limb Sounder (MLS) and their implications for studies of variability and trends, Atmospheric Chemistry and Physics, 21(20), 15409-15430, https://doi.org/10.5194/acp-21-15409-2021
Tags: H2O, Microwave, NO, Satellite, Trends
2021, Zhou, M., Langerock, B., Vigouroux, C., Dils, B., Hermans, C., Kumps, N., Nan, W., Metzger, J.-M., Mahieu, E., Wang, T., Wang, P. and De Mazière, M., Tropospheric and stratospheric NO retrieved from ground-based Fourier-transform infrared (FTIR) measurements, Atmospheric Measurement Techniques, 14(9), 6233–6247, https://doi.org/10.5194/amt-14-6233-2021
Tags: FTIR, NO
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, Gomez-Martin, L., Toledo, D.; Prados-Roman, C.; Adame, J.A.; Ochoa, H.; Yela, M., Polar Stratospheric Clouds Detection at Belgrano II Antarctic Station with Visible Ground-Based Spectroscopic Measurements, Remote Sensing, 13, 1412, https://doi.org/10.3390/rs13081412
Tags: UVVis, PSC, Clouds
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, 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, Snels, M., Scoccione, A., Di Liberto, L., Colao, F., Pitts, M., Poole, L., Deshler, T., Cairo, F., Cagnazzo, C., and Fierli, F., Comparison of Antarctic polar stratospheric cloud observations by ground-based and space-borne lidar and relevance for chemistry–climate models, Atmospheric Chemistry and Physics, 19, 955–972, https://doi.org/10.5194/acp-19-955-2019
Tags: Lidar, Model, PSC
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