Publications
- 293 results
- Tag: C2H6
- Tag: H2O
- Tag: Model
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2022, Zuber, A., et al, Variability of water vapor in Central Mexico from two remote sensing techniques: FTIR spectroscopy and GPS, Journal of Atmospheric and Oceanic Technology, 39(8), https://doi.org/10.1175/JTECH-D-20-0192.1
Tags: FTIR, H2O
2022, Pardo Cantos, I., E. Mahieu, M. P. Chipperfield, D. Smale, J. W. Hannigan, M. Friedrich, P. Fraser, P.Krummel, M. Prignon, J. Makkor, C. Servaisj and J. Robinson, Determination and analysis of time series of CFC-11 (CCl3F) from FTIR solar spectra, in situ observations, and model data in the past 20 years above Jungfraujoch (46°N), Lauder (45°S), and Cape Grim (40°S) stations, Environmental Sciences, 2, 1487-1501, https://doi.org/10.1039/D2EA00060A
Tags: CFC, FTIR, Model
2022, Read, W.J., G. Stiller, S. Lossow, M. Kiefer, F. Khosrawi, D. Hurst, H. Vömel, K. Rosenlof, B.M. Dinelli, P. Raspollini, G.E. Nedoluha, J.C. Gille, Y. Kasai, P. Eriksson, C.E. Sioris, K.A. Walker, K. Weigel, J.P. Burrows, and A. Rozanov, The SPARC Water Vapor Assessment II: assessment of satellite measurements of upper tropospheric humidity, Atmospheric Measurement Techniques, 15, 3377-3400, https://doi.org/10.5194/amt-15-3377-2022
Tags: H2O, Satellite, Sonde
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, 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
2021, Khodayar, S., Davolio, S., Di Girolamo, P., Lebeaupin Brossier, C., Flaounas, E., Fourrie, N., Lee, K.-O., Ricard, D., Vie, B., Bouttier, F., Caldas-Alvarez, A., and Ducrocq, V, Overview towards improved understanding of the mechanisms leading to heavy precipitation in the Western Mediterranean: lessons learned from HyMeX, Atmospheric Chemistry and Physics, 21, 17051–17078, https://doi.org/10.5194/acp-21-17051-2021
Tags: H2O, Lidar
2021, Diekmann, C.J., Schneider, M., Ertl, B., Hase, F., García, O., Khosrawi, F., Sepúlveda, E., Knippertz, P., and Braesicke, P., The global and multi-annual MUSICA IASI {H2O, δD} pair dataset, Earth System Science Data, 13, 5273–5292, https://doi.org/10.5194/essd-13-5273-2021
Tags: H2O, Satellite
2021, Meng, L., J. Liu, D.W. Tarasick and Y. Li , Biases of Global Tropopause Altitude Products in Reanalyses and Implications for Estimates of Tropospheric Column Ozone, Atmosphere, 12, 417, https://doi.org/10.3390/atmos12040417
Tags: Sonde, Ozone, Model
2021, Schanz, A., Hocke, K.; Kämpfer, N.; Chabrillat, S.; Inness, A.; Palm, M.; Notholt, J.; Boyd, I.; Parrish, A.; Kasai, Y., The Diurnal Variation in Stratospheric Ozone from MACC Reanalysis, ERA-Interim, WACCM, and Earth Observation Data: Characteristics and Intercomparison, Atmosphere, 12, 625, https://doi.org/10.3390/atmos12050625
Tags: Microwave, Diurnal, Ozone, Model
2021, Sun, Y., Yin, H., Liu, C., Zhang, L., Cheng, Y., Palm, M., Notholt, J., Lu, X., Vigouroux, C., Zheng, B., Wang, W., Jones, N., Shan, C., Qin, M., Tian, Y., Hu, Q., Meng, F., and Liu, J., Mapping the drivers of formaldehyde (HCHO) variability from 2015 to 2019 over eastern China: insights from Fourier transform infrared observation and GEOS-Chem model simulation, Atmospheric Chemistry and Physics, 21, 6365–6387, https://doi.org/10.5194/acp-21-6365-2021
Tags: Model, FTIR, HCHO