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Marimbordes, S., Birman, C., Fourrié, N., Sassi, Z., Arbogast, E. & Mahfouf, J.-F. (2025) Assimilation of land-surface temperature observations in a 2DEnVar surface data assimilation system within AROME-France. Quarterly Journal of the Royal Meteorological Society, e5021. Available from: https://doi.org/10.1002/qj.5021
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Marimbordes, S., Birman, C., Arbogast, E., Fourrié, N. & Mahfouf, J.-F. (2024) Towards a 2DEnVar surface data assimilation approach within the convective scale numerical weather prediction model AROME-France. Quarterly Journal of the Royal Meteorological Society, 150(765), 5225–5248. Available from: https://doi.org/10.1002/qj.4867
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Vittorioso F, Guidard V and Fourrié N: Assessment of the contribution of the Meteosat Third Generation Infrared Sounder (MTG-IRS) for the characterisation of ozone over Europe. Atmos. Meas. Tech., 17, 5279–5299, 2024 https://doi.org/10.5194/amt-17-5279-2024
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Rivoire, L., Marty, R., Carrel-Billiard, T., Chambon, P., Fourrié, N., Audouin, O., Martet M, Birman C, Accadia C and Ackermann J.. (2024) A global observing-system simulation experiment for the EPS–Sterna microwave constellation. Quarterly Journal of the Royal Meteorological Society, 150(762), 2991–3012. Available from: https://doi.org/10.1002/qj.4747
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Villeneuve E., Chambon P. et Fourrié N.: Synergistic approach of frozen hydrometeor retrievals: considerations on radiative transfer and model uncertainties in a simulated frameworkAtmos. Meas. Tech., 17, 3567–3582, 2024. https://doi.org/10.5194/amt-17-3567-2024
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Sassi M.Z., Fourrié N., Guidard V. and Birman C; (2023): Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France Model. Tellus A: Dynamic Meteorology and Oceanography, 75(1), 88–107. DOI: https://doi.org/10.16993/tellusa.48.
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Coopmann, N Fourrié, P Chambon, J. Vidot, P. Brousseau, et al.. Preparing the assimilation of the future MTG-IRS sounder into the mesoscale NWP AROME model. Quarterly Journal of the Royal Meteorological Society, 2023, DOI: https://doi.org/10.1002/qj.4548
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P. Chambon, J.-F. Mahfouf, O. Audouin, C. Birman, N. Fourrié, et al.. Global Observing System Experiments within the Météo-France 4D-Var Data Assimilation System. 2023, Monthly Weather Review, 151, 127–143, https://doi.org/10.1175/MWR-D-22-0087.1
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Coopmann O., N. Fourrié and V. Guidard (2022): Analysis of MTG‐IRS observations and general channel selection for Numerical Weather Prediction models. Quarterly Journal of the Royal Meteorological Society, 148, 1864-1885. 10.1002/qj.4282
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Barbosa-Silveira B., N. Fourrié, V. Guidard, P. Chambon, Jean-François Mahfouf, P. Brousseau, P. Moll, T. August and Tim Hultberg (2022): Preliminary Assessment of MetOp-Based Temperature and Humidity StatisticalRetrievals within the 3D-Var AROME-France Prediction System. Monthly Weather Review. 150(4) 733-752. DOI: 10.1175/MWR-D-20-0189.1
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C Flamant, 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, 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, Springer, 2021, 2 (1-4), pp.10. ⟨10.1007/s42865-021-00037-6.⟩ ⟨insu-03355725⟩
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Khodayar, S., Davolio, S., Di Girolamo, P., Lebeaupin Brossier, C., Flaounas, E., Fourrié, 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, Atmos. Chem. Phys., 21, 17051–17078, 2021. https://doi.org/10.5194/acp-21-17051-2021
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Vittorioso, F., Guidard, V. and Fourrié, N. (2021) An Infrared Atmospheric Sounding Interferometer – New Generation (IASI-NG) channel selection for numerical weather prediction. Quarterly Journal of the Royal Meteorological Society, 147(739), 3297–3317. Available from: https://doi.org/10.1002/qj.4129
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Fourrié, N., Nuret, M., Brousseau, P., and Caumont, O.: Data assimilation impact studies with the AROME-WMED reanalysis of the first special observation period of the Hydrological cycle in the Mediterranean Experiment, Nat. Hazards Earth Syst. Sci., 21, 463–480, https://doi.org/10.5194/nhess-21-463-2021 , 2021.