Publications

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

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, 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, 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, Bernet, L, Boyd, I.; Nedoluha, G.; Querel, R.; Swart, D.; Hocke, K., Validation and Trend Analysis of Stratospheric Ozone Data from Ground-Based Observations at Lauder, New Zealand, Remote Sensing, 13, 109, https://doi.org/10.3390/rs13010109
Tags: Microwave, Ozone, Trends, Validation

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, von der Gathen, P., Kivi, R., Wohltmann, I. et al., Climate change favours large seasonal loss of Arctic ozone, Nature Communications, 725708, https://doi.org/10.1038/s41467-021-24089-6
Tags: Arctic, Ozone

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

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, Madonna, F., Summa, D.; Girolamo, P.D.; Marra, F.; Wang, Y.; Rosoldi, M., Assessment of Trends and Uncertainties in the Atmospheric Boundary Layer Height Estimated using Radiosounding Observations over Europe, Atmosphere, 12, 301, https://doi.org/10.3390/atmos12030301
Tags: Lidar, Sonde, Trends