Publications
- 11 results
- Tag: Model
- Tag: NO2
- Year: 2019
- Clear all
2019, Agustí-Panareda, A., Diamantakis, M., Massart, S., Chevallier, F., Muñoz-Sabater, J., Barré, J., Curcoll, R., Engelen, R., Langerock, B., Law, R. M., Loh, Z., Morguí, J. A., Parrington, M., Peuch, V.-H., Ramonet, M., Roehl, C., Vermeulen, A. T., Warneke, T., and Wunch, D., Modelling CO2 weather – why horizontal resolution matters, Atmospheric Chemistry and Physics, 19, 7347–7376, https://doi.org/10.5194/acp-19-7347-2019
Tags: CO2, FTIR, Model
2019, Emili, E., Barret, B., Le Flochmoën, E., and Cariolle, D., Comparison between the assimilation of IASI Level 2 ozone retrievals and Level 1 radiances in a chemical transport model, Atmospheric Measurement Techniques, 12, 3963–3984, https://doi.org/10.5194/amt-12-3963-2019
Tags: Model, Ozone, Satellite, Sonde
2019, Friedrich, M., M., Rivera, C., Stremme, W., Ojeda, Z., Arellano, J., Bezanilla, A., García-Reynoso, J. A., and Grutter, M., NO2 vertical profiles and column densities from MAX-DOAS measurements in Mexico City, Atmospheric Measurement Techniques, 12, 2545–2565, https://doi.org/10.5194/amt-12-2545-2019
Tags: FTIR, NO2, UVVis
2019, Gruzdev, A.N., Accounting for long-term serial correlation in a linear regression problem, IOP Conference Series: Earth and Environmental Science, 231, 012020, pp. 1–10, https://doi.org/10.1088/1755-1315/231/1/012020
Tags: NO2, UVVis
2019, Gruzdev, A.N., Accounting for serial correlation in a multiple linear regression problem on the example of analysis of the column NO2 content in the atmosphere, Izvestiya, Atmospheric and Oceanic Physics, 55, 65–72, https://doi.org/10.1134/S0001433819010043
Tags: NO2, UVVis
2019, Inness, A., Ades, M., Agustí-Panareda, A., Barré, J., Benedictow, A., Blechschmidt, A.-M., Dominguez, J. J., Engelen, R., Eskes, H., Flemming, J., Huijnen, V., Jones, L., Kipling, Z., Massart, S., Parrington, M., Peuch, V.-H., Razinger, M., Remy, S., Schulz, M., and Suttie, M., The CAMS reanalysis of atmospheric composition, Atmospheric Chemistry and Physics, 19, 3515–3556, https://doi.org/10.5194/acp-19-3515-2019
Tags: Model, Ozone, Sonde
2019, Lamy, K., T. Portafaix, B. Josse, C. Brogniez, S. Godin-Beekmann, H. Bencherif, L. Revell, H. Akiyoshi, S. Bekki, M. I. Hegglin, P. Jöckel, O. Kirner, B. Liley, V. Marecal, O. Morgenstern, A. Stenke, G. Zeng, L. N. Abraham, A T. Archibald, N. Butchart, M. Chipperfield, G. Di Genova, M. Deushi, S. S. Dhomse, R. Hu, D. Kinnison, M. Kotkamp, R.McKenzie, M. Michou, F. O'Connor, L. D. Oman, G. Pitari, D. Plummer, J. Pyle, E. Rozanov, D. Saint-Martin, K. Sudo, T. Y. Tanaka, D. Visioni, and K. Yoshida, Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative, Atmospheric Chemistry and Physics, 19, 10087–10110, https://doi.org/10.5194/acp-19-10087-2019
Tags: Model, Spectral UV, UVB
2019, McKenzie, R., G. Bernhard, B. Liley, P. Disterhoft, S. Rhodes, A. Bais, O. Morgenstern, P. Newman, L. Oman, C. Brogniez and S. Simic, Success of Montreal Protocol demonstrated by comparing high-quality UV Measurements with “World Avoided” calculations from two chemistry-climate models, Scientific Reports, 9, 12332, https://doi.org/10.1038/s41598-019-48625-z
Tags: Model, Spectral UV
2019, Stauffer, R.M., A. M. Thompson, L. D. Oman, and S. E. Strahan, The Effects of a 1998 Observing System Change on MERRA-2-based Ozone Profile Simulations, Journal of Geophysical Research: Atmospheres, 124: 7429– 7441, https://doi.org/10.1029/2019jd030257
Tags: Model, Ozone, Sonde
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