Publications
- 449 results
- Tag: COVID
- Tag: HCN
- Tag: NO2
- Tag: Validation
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2024, Pardo Cantos, I., Mahieu, E., Chipperfield, M.P., Servais, C., Reimann, S., Vollmer, M.K., First HFC-134a retrievals from ground-based FTIR solar absorption spectra, comparison with TOMCAT model simulations, in-situ AGAGE observations, and ACE-FTS satellite data for the Jungfraujoch station, Journal of Quantitative Spectroscopy and Radiative Transfer, 318, 108938, https://doi.org/10.1016/j.jqsrt.2024.108938
Tags: CFC, FTIR, Model, Satellite, Validation
2023, Ortega, I., B. Gaubert, J.W. Hannigan, G. Brasseur, H.M. Worden, T. Blumenstock, H. Fu, F. Hase, P. Jeseck, N. Jones, C. Liu, E. Mahieu, I. Morino, I. Murata, J. Notholt, M. Palm, A. Röhling, Y. Té, K. Strong, Y. Sun, S. Yamanouchi, Anomalies of O3, CO, C2H2, H2CO, and C2H6 detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability, Elementa: Science of the Anthropocene, 11 (1): 00015, https://doi.org/10.1525/elementa.2023.00015
Tags: C2H2, C2H6, CO, COVID, FTIR, H2CO, Ozone
2023, Tu, Q., Hase, F., Chen, Z., Schneider, M., García, O., Khosrawi, F., Chen, S., Blumenstock, T., Liu, F., Qin, K., Cohen, J., He, Q., Lin, S., Jiang, H., and Fang, D., Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique, Atmospheric Measurement Techniques, 16, 2237–2262, https://doi.org/10.5194/amt-16-2237-2023
Tags: FTIR, NO2
2023, Poraicu, C., Müller, J.-F., Stavrakou, T., Fonteyn, D., Tack, F., Deutsch, F., Laffineur, Q., Van Malderen, R., and Veldeman, N., Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium, Geoscientific Model Development, 16, 479–508, https://doi.org/10.5194/gmd-16-479-2023
Tags: NO2, Satellite, Sonde
2023, Karagkiozidis, D., Koukouli M-E, Bais A, Balis D, Tzoumaka P., Assessment of the NO2 Spatio-Temporal Variability over Thessaloniki, Greece, Using MAX-DOAS Measurements and Comparison with S5P/TROPOMI Observations, Applied Sciences, 13(4):2641, https://doi.org/10.3390/app13042641
Tags: NO2, Satellite, UVVis
2023, Zhou, M., Langerock, B., Wang, P., Vigouroux, C., Ni, Q., Hermans, C., Dils, B., Kumps, N., Nan, W., and De Mazière, M., Understanding the variations and sources of CO, C2H2, C2H6, H2CO, and HCN columns based on 3 years of new ground-based Fourier transform infrared measurements at Xianghe, China, Atmospheric Measurement Techniques, 16, 273–293, https://doi.org/10.5194/amt-16-273-2023
Tags: C2H2, C2H6, CO, FTIR, H2CO, HCN
2023, Ratynski, M., Khaykin, S., Hauchecorne, A., Wing, R., Cammas, J.-P., Hello, Y., Keckhut, P., Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at Réunion island and the Observatoire de Haute-Provence, Atmospheric Measurement Techniques, 16, 997–1016, https://doi.org/10.5194/amt-16-997-2023,
Tags: Lidar, Validation, Wind
2022, Chang, K., Cooper O., Gaudel A., Allaart M., Ancellet G., Clark H., Godin-Beekmann S., Leblanc T., van Malderen R., Nédélec P., Petropavlovskikh I. et al., Impact of the COVID‐19 Economic Downturn on Tropospheric Ozone Trends: An Uncertainty Weighted Data Synthesis for Quantifying Regional Anomalies Above Western North America and Europe, AGU Advances, 3 (2), pp.e2021AV000542, https://dx.doi.org/10.1029/2021av000542
Tags: COVID, Lidar, Ozone, Trends
2022, Kotsakis, A., John T. Sullivan, Thomas F. Hanisco, Robert J. Swap, Vanessa Caicedo, Timothy A. Berkoff, Guillaume Gronoff et al., Sensitivity of total column NO2 at a marine site within the Chesapeake Bay during OWLETS-2, Atmospheric Environment, 277, 119063
Tags: Lidar, NO2
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