Publications
2023, Zhou, M., Ni, Q., Cai, Z. et al., Ground-Based Atmospheric CO2, CH4, and CO Column Measurements at Golmud in the Qinghai-Tibetan Plateau and Comparisons with TROPOMI/S5P Satellite Observations, Advances in the Atmospheric Sciences, 40, 223–234, https://doi.org/10.1007/s00376-022-2116-0
Tags: CH4, CO, CO2, FTIR, Satellite
2023, Poraicu, C., Müller, J.-F., Stavrakou, T., Fonteyn, D., Tack, F., Deutsch, F., Laffineur, Q., Van Malderen, R., and Veldeman, N., Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium, Geoscientific Model Development, 16, 479–508, https://doi.org/10.5194/gmd-16-479-2023
Tags: NO2, Satellite, Sonde
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
2020, Di Girolamo, P., Assessment of the potential role of atmospheric particulate pollution and airborne transmission in intensifying the first wave pandemic impact of SARS-CoV-2/COVID-19 in Northern Italy, Bulletin of Atmospheric Science and Technology, 1, 515–550, https://doi.org/10.1007/s42865-020-00024-3
Tags: Lidar, Aerosol, Health
2020, Di Girolamo, P., B. De Rosa, C. Flamant, D. Summa, O. Bousquet, P. Chazette, J. Totems, M. Cacciani, Water vapour mixing ratio and temperature inter-comparison results in framework of the Hydrological Cycle in the Mediterranean Experiment—Special Observation Period 1, Bulletin of Atmospheric Science and Technology, 1, 113–153, https://doi.org/10.1007/s42865-020-00008-3
Tags: H2O, Lidar, Temperature
2020, Stanevich, I., Jones, D. B. A., Strong, K., Parker, R. J., Boesch, H., Wunch, D., Notholt, J., Petri, C., Warneke, T., Sussmann, R., Schneider, M., Hase, F., Kivi, R., Deutscher, N. M., Velazco, V. A., Walker, K. A., and Deng, F, Characterizing model errors in chemical transport modeling of methane: impact of model resolution in versions v9-02 of GEOS-Chem and v35j of its adjoint model, Geoscientific Model Development, 13, 3829–3862, https://doi.org/10.5194/gmd-13-3839-2020
Tags: FTIR, Model, CH4
2019, Ji, D., Zhou, M., Wang, P., Yang, Y., Wang, T., Sun, X., Hermans, C., Yao, B., and Wang, G., Deriving Temporal and Vertical Distributions of Methane in Xianghe Using Ground-based Fourier Transform Infrared and Gas-analyzer Measurements, Advances in the Atmospheric Sciences, 37(6), 597-607, https://doi.org/10.1007/s00376-020-9233-4
Tags: CH4, FTIR
2018, Garcia, R.D., Barreto, A., Cuevas, E., Gröbner, J., García, O. E., Gómez-Peláez, A., Romero-Campos, P. M., Redondas, A., Cachorro, V. E., and Ramos, R., Comparison of observed and modeled cloud-free longwave downward radiation (2010–2016) at the high mountain BSRN Izaña station, Geoscientific Model Development, 11, 2139-2152, https://doi.org/10.5194/gmd-11-2139-2018
Tags: CH4, FTIR, N2O, Satellite, Validation
2015, Langerock, B., De Mazière, M., Hendrick, F., Vigouroux, C., Desmet, F., Dils, B., and Niemeijer, S., Description of algorithms for co-locating and comparing gridded model data with remote-sensing observations, Geoscientific Model Development, 8, 911-921, https://doi.org/10.5194/gmd-8-911-2015
Tags: FTIR, Model, Validation