Publications
- 448 results
- Tag: Model
- Tag: Satellite
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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, 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., Ni, Q., Cai, Z. et al., Ground-Based Atmospheric CO2, CH4, and CO Column Measurements at Golmud in the Qinghai-Tibetan Plateau and Comparisons with TROPOMI/S5P Satellite Observations, Advances in the Atmospheric Sciences, 40, 223–234, https://doi.org/10.1007/s00376-022-2116-0
Tags: CH4, CO, CO2, FTIR, Satellite
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, Bruno, A.G., Harrison, J. J., Chipperfield, M. P., Moore, D. P., Pope, R. J., Wilson, C., Mahieu, E. and Notholt, J., Atmospheric distribution of HCN from satellite observations and 3-D model simulations, Atmospheric Chemistry and Physics, 23(8), 4849–4861, https://doi.org/10.5194/acp-23-4849-2023
Tags: FTIR, Model, Satellite
2022, Yang, Z., B. Demoz, R. Delgado, A. Tangborn, P. Lee, and J.T. Sullivan, The Dynamical Role of the Chesapeake Bay on the Local Ozone Pollution Using Mesoscale Modeling—A Case Study, Atmosphere, 13(5), 641
Tags: Lidar, Model, Ozone
2022, Hurst, D.F., M. Fujiwara, and S.J. Oltmans, Frost point hygrometers, In: Field Measurements for Environmental Remote Sensing: Instrumentation, Intensive Campaigns, and Satellite Applications, , 37-55, Ed. N. Nalli, Elsevier, Amsterdam, 458 pp
Tags: H2O, Satellite, Sonde
2022, Strahan, S.E., D. Smale, S. Solomon, G. Taha, M. R. Damon, S. D. Steenrod, N. Jones, B. Liley, R. Querel and J. Robinson, Unexpected Repartitioning of Stratospheric Inorganic Chlorine After the 2020 Australian Wildfires, Geophysical Research Letters, 49(14): e2022GL098290
Tags: Cl, Fire, Model
2022, Summa, D., F. Madonna, N. Franco, B. De Rosa, and P. Di Girolamo , Inter-comparison of atmospheric boundary layer (ABL) height estimates from different profiling sensors and models in the framework of HyMeX-SOP1, Atmospheric Measurement Techniques, 15, 4153–4170, https://doi.org/10.5194/amt-15-4153-2022
Tags: Lidar, Model
2022, Lutsch, E., D. Wunch, D. B. A. Jones, C. Clerbaux, J. W. Hannigan, T.-L. He, I. Ortega, S. Roche, K. Strong, and H. M. Worden, Can the data assimilation of CO from MOPITT or IASI constrain high-latitude wildfire emissions? A Case Study of the 2017 Canadian Wildfires, Earth and Space Science, p. 44, https://doi.org/10.1002/essoar.10510875.1
Tags: CO, Fire, Model, Satellite