Publications
- 268 results
- Tag: Arctic
- Tag: Model
- Tag: Temperature
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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, Chane Ming, F., Hauchecorne A., Bellisario C., Simoneau P., Keckhut P., Trémoulu S., Listowski C., Berthet G., Jégou F., Khaykin S., Tidiga M. et al., Case Study of a Mesospheric Temperature Inversion over Maïdo Observatory through a Multi-Instrumental Observation, Remote Sensing, 15, 2045, http://doi.org/10.3390/rs15082045
Tags: Lidar, Temperature
2023, Mariaccia, A., Keckhut P., Hauchecorne A., Khaykin S., Ratynski M., Co‐Located Wind and Temperature Observations at Mid‐Latitudes During Mesospheric Inversion Layer Events, Geophysical Research Letters, 50 (9), pp.e2022GL102683, http://doi.org/10.1029/2022gl102683
Tags: Lidar, Temperature, Wind
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
2023, Farhani, G., Martucci, G., Roberts, T., Haefele, A., Sica, R.J., A Bayesian neural network approach for tropospheric temperature retrievals from a lidar instrument, International Journal of Remote Sensing, 44:5, 1611-1627, http://doi.org/10.1080/01431161.2023.2187723
Tags: Algorithm, Lidar, Temperature
2023, Barten, J.G.M., et al., Low ozone dry deposition rates to sea ice during the MOSAiC field campaign: Implications for the Arctic boundary layer ozone budget, Elementa: Science of the Anthropocene, 11 (1): 00086, https://doi.org/10.1525/elementa.2022.00086
Tags: Arctic, Ozone, Sonde
2023, Whaley, C.H., Law, K. S., Hjorth, J. L., Skov, H., Arnold, S. R., Langner, J., Pernov, J. B., Bergeron, G., Bourgeois, I., Christensen, J. H., Chien, R.-Y., Deushi, M., Dong, X., Effertz, P., Faluvegi, G., Flanner, M., Fu, J. S., Gauss, M., Huey, G., Im, U., Kivi, R., Marelle, L., Onishi, T., Oshima, N., Petropavlovskikh, I., Peischl, J., Plummer, D. A., Pozzoli, L., Raut, J.-C., Ryerson, T., Skeie, R., Solberg, S., Thomas, M. A., Thompson, C., Tsigaridis, K., Tsyro, S., Turnock, S. T., von Salzen, K., and Tarasick, D. W., Paper 1: Arctic tropospheric ozone: assessment of current knowledge and model performance, Atmospheric Chemistry and Physics, 23, 637–661, https://doi.org/10.5194/acp-23-637-2023
Tags: Arctic, Ozone, Sonde, Tropospheric Ozone
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
2022, Knowland, K.E., C. A. Keller, P. A. Wales, K. Wargan, L. Coy, M. S. Johnson, J. Liu, R. A. Lucchesi, S. D. Eastham, E. Fleming, Q. Liang, T. Leblanc, N. J. Livesey, K. A. Walker, L. E. Ott, S. Pawson, NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0: Stratospheric Composition, Journal of Advances in Modeling Earth Systems, 14(6), e2021MS002852, https://doi.org/10.1029/2021MS002852
Tags: Aerosol, Lidar, Model
2022, Bahramvash Shams, S., V. P. Walden, J. W. Hannigan, W. J. Randel, I. V. Petropavlovskikh, A. H. Butler, and A. de la Cámara, Analyzing ozone variations and uncertainties at high latitudes during sudden stratospheric warming events using MERRA-2, Atmospheric Chemistry and Physics, 22.8, 5435–5458, https://doi.org/10.5194/acp-22-5435-2022
Tags: Model, Ozone