Publications
- 349 results
- Tag: BrONO2
- Tag: CH2O
- Tag: HFC
- Tag: Satellite
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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, Herrera, B., A. Bezanilla, T. Blumenstock, E. Dammers, F. Hase, L. Clarisse, A. Magaldi, C. Rivera, W. Stremme, K. Strong, C. Viatte, M. Van Damme, and M. Grutter, Measurement report: Evolution and distribution of NH3 over Mexico City from ground-based and satellite infrared spectroscopic measurements, Atmospheric Chemistry and Physics, 22, 14119–14132, https://doi.org/10.5194/acp-22-14119- 2022
Tags: FTIR, NH3, Satellite
2022, Sullivan, J., Apituley, A., Mettig, N., Kreher, K., Knowland, K.E., Allaart, M., Piters, A., Van Roozendael, M.,Veefkind, P.. Ziemke, J.R. Kramarova, N., Weber, M., Rozanov, A., Twigg, L., Sumnicht, G., McGee, T.J., Tropospheric and Stratospheric Ozone Profiles during the 2019 TROpomi vaLIdation eXperiment (TROLIX-19), Atmospheric Chemistry and Physics, 22, 11137–11153, https://doi.org/10.5194/acp-22-11137-2022
Tags: Lidar, Satellite, Sonde, UVVis
2022, Trieu, T.T.N., I. Morino, O. Uchino, Y. Tsutsumi, T. Sakai, T. Nagai, A. Yamazaki, H. Okumura, K. Arai, K. Shiomi, D.F. Pollard, B. Liley , Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data, International Journal of Remote Sensing, 43:5, 1770-1799, https://doi.org/10.1080/01431161.2022.2038395
Tags: Aerosol, Clouds, FTIR, Lidar, Satellite, UVVis, XCH4, XCO2
2022, Wells, K.C., Millet, D. B., Payne, V. H., Vigouroux, C., Aquino, C. A. B., De Mazière, M., de Gouw, J. A., Graus, M., Kurosu, T., Warneke, C., and Wisthaler, A., Next-generation Isoprene Measurements from Space: Detecting Daily Variability at High Resolution, Journal of Geophysical Research: Atmospheres, 127, e2021JD036181, https://doi.org/10.1029/2021JD036181
Tags: C5H8, FTIR, Isoprene, Satellite
2021, De Smedt, I., Pinardi, G., Vigouroux, C., Compernolle, S., Bais, A., Benavent, N., Boersma, F., Chan, K.-L., Donner, S., Eichmann, K.-U., Hedelt, P., Hendrick, F., Irie, H., Kumar, V., Lambert, J.-C., Langerock, B., Lerot, C., Liu, C., Loyola, D., Piters, A., Richter, A., Rivera Cárdenas, C., Romahn, F., Ryan, R. G., Sinha, V., Theys, N., Vlietinck, J., Wagner, T., Wang, T., Yu, H., and Van Roozendael, M, Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements, Atmospheric Chemistry and Physics, 21, 12561–12593, https://doi.org/10.5194/acp-21-12561-2021
Tags: CH2O, Satellite, UVVis
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, Tu, Q., Hase, F., Blumenstock, T., Schneider, M., Schneider, A., Kivi, R., Heikkinen, P., Ertl, B., Diekmann, C., Khosrawi, F., Sommer, M., Borsdorff, T., and Raffalski, U., Intercomparison of arctic XH2O observations from three ground-based Fourier transform infrared networks and application for satellite validation, Atmospheric Measurement Techniques, 14, 1993–2011, https://doi.org/10.5194/amt-14-1993-2021
Tags: FTIR, Arctic, XH2O, Satellite
2021, Stanevich, I., D.B.A. Jones, K. Strong, M. Keller, D.K. Henze, R.J. Parker, H. Boesch, D. Wunch, J. Notholt, C. Petri, T. Warneke, R. Sussmann, M. Schneider, F. Hase, R. Kivi, N.M. Deutscher, V.A. Velazco, K.A. Walker, and F. Deng, Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation, Atmospheric Chemistry and Physics, 21, 9545–9572, https://doi.org/10.5194/acp-21-9545-2021
Tags: FTIR, Satellite, CH4, XCH4
2021, Verhoelst, T., S. Compernolle, G. Pinardi, J.-C. Lambert, H.J. Eskes, K.-U. Eichmann, A.M. Fjæraa, J. Granville, S. Niemeijer, A. Cede, M. Tiefengraber, F. Hendrick, A. Pazmiño, A. Bais, A. Bazureau, K. F. Boersma, K. Bognar, A. Dehn, S. Donner, A. Elokhov, M. Gebetsberger, F. Goutail, M. Grutter de la Mora, A. Gruzdev, M. Gratsea, G.H. Hansen, H. Irie, N. Jepsen, Y. Kanaya, D. Karagkiozidis, R. Kivi, K. Kreher, P.F. Levelt, C. Liu, M. Müller, M. Navarro Comas, A.J.M. Piters, J.-P. Pommereau, T. Portafaix, C. Prados-Roman, O. Puentedura, R. Querel, J. Remmers, A. Richter, J. Rimmer, C. Rivera Cárdenas, L. Saavedra de Miguel, V. P. Sinyakov, W. Stremme, K. Strong, M. Van Roozendael, J.P. Veefkind, T. Wagner, F. Wittrock, M. Yela González, and C. Zehner, Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks, Atmospheric Measurement Techniques, 14, 481–510, https://doi.org/10.5194/amt-14-481-2021
Tags: UVVis, Satellite, NO2