Publications

2022, Davis, S.M., K.H. Rosenlof, D.F. Hurst, H. Voemel, and R. Stauffer, Stratospheric Water Vapor [in “State of the Climate in 2021”], Bulletin of the American Meteorological Society, 103 (8), S93-S96, https://doi.org/10.1175/BAMS-D-22-0092.1
Tags: H2O, Sonde

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, Nedoluha, G.E., R.M. Gomez, I. Boyd, H. Neal, D.R. Allen, D. Siskind, A. Amber, and N.J. Livesey, Measurements of Mesospheric Water Vapor from 1992 to 2021 at three stations from the Network for the Detection of Atmospheric Composition Change, Journal of Geophysical Research: Atmospheres, 127, e2022JD037227, https://doi.org/10.1029/2022JD037227
Tags: H2O, Microwave

2022, Flamant, C., P. Chazette, O. Caumont, P. Di Girolamo, A. Behrendt, M. Sicard, J. Totems, D. Lange, N. Fourrié, P. Brousseau, C. Augros, A. Baron, M. Cacciani, A. Comerón, B. De Rosa, V. Ducrocq, P. Genau, L. Labatut, C. Muñoz-Porcar, A. Rodríguez-Gómez, D. Summa, R. Thundathil, and V. Wulfmeyer , A network of water vapor Raman lidars for improving heavy precipitation forecasting in southern France: introducing the WaLiNeAs initiative, Bulletin of Atmospheric Science and Technology, 2, 10 , https://doi.org/10.1007/s42865-021-00037-6
Tags: H2O, Lidar

2022, Malina, E., Veihelmann, B., Buschmann, M., Deutscher, N. M., Feist, D. G., and Morino, I., On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases, Atmospheric Measurement Techniques, 15, 2377–2406, https://doi.org/10.5194/amt-15-2377-2022
Tags: CH4, FTIR

2022, Callewaert, S., Brioude, J., Langerock, B., Duflot, V., Fonteyn, D., Müller, J.-F., Metzger, J.-M., Hermans, C., Kumps, N., Ramonet, M., Lopez, M., Mahieu, E. and De Mazière, M, Analysis of CO2, CH4, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations, Atmospheric Chemistry and Physics, 22(11), 7763–7792, https://doi.org/10.5194/acp-22-7763-2022
Tags: CH4, CO, CO2, FTIR

2022, Schneider, M., B. Ertl, C. J. Diekmann, F. Khosrawi, A.N. Röhling, F. Hase, D. Dubravica, O.E. García, E. Sepúlveda, T. Borsdorff, J. Landgraf, A. Lorente, H. Chen, R. Kivi, T. Laemmel, M. Ramonet, Crevoisier, C., Pernin, J., Steinbacher, M., Meinhardt, F., Deutscher, N. M., Griffith, D. W. T., V.A. Velazco, and D. F. Pollard, Synergetic use of IASI profile and TROPOMI totalcolumn level 2 methane retrieval products, Atmospheric Measurement Techniques, 15, 4339-4371, https://doi.org/10.5194/amt-15-4339-2022
Tags: CH4, FTIR, Satellite

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, 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

2021, Tirpitz, J.-L., U. Frieß, F. Hendrick, C. Alberti, M. Allaart, A. Apituley, A. Bais, S. Beirle, S. Berkhout, K. Bognar, T. Bösch, I. Bruchkouski, A. Cede, K.L. Chan, M. den Hoed, S. Donner, T. Drosoglou, C. Fayt, M.M. Friedrich, A. Frumau, L. Gast, C. Gielen, L. Gomez-Martín, N. Hao, A. Hensen, B. Henzing, C. Hermans, J. Jin, K. Kreher, J. Kuhn, J. Lampel, A. Li, C. Liu, H. Liu, J. Ma, A. Merlaud, E. Peters, G. Pinardi, A. Piters, U. Platt, O. Puentedura, A. Richter, S. Schmitt, E. Spinei, D. Stein Zweers, K. Strong, D. Swart, F. Tack, M. Tiefengraber, R. van der Hoff, M. van Roozendael, T. Vlemmix, J. Vonk, T. Wagner, Y. Wang, Z. Wang, M. Wenig, M. Wiegner, F. Wittrock, P. Xie, C. Xing, J. Xu, M. Yela, C. Zhang, and X. Zhao, Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies on field data from the CINDI-2 campaign, Atmospheric Measurement Techniques, 14, 1–35, https://doi.org/10.5194/amt-14-1-2021
Tags: CalVal, UVVis