Publications

  • Aires, Weston, de Rosnay, Fairbairn, Statistical approaches to assimilate ASCAT soil moisture information: Part II Evaluation and potential for assimilation, QJRMS, submitted, 2024.
  • Boucher, Aires, Doutriaux-Boucher, Introducing a New Partial Convolutional Neural Network for IASI Cloud Classification. RSE, submitted, 2024.
  • Heberger, Aires, Pellet, Improving Satellite Remote Sensing Estimates of the Global Terrestrial Hydrologic Cycle via Neural Network Modeling, submitted, 2024.
  • Nguyen, Aires, Satellite retrieval and downscaling of the peatlands using machine learning, IEE Transactions on Geoscience and Remote Sensing, Submitted, 2024.
  • Dinh, Aires, Rahn, Climate change impact on coffee production over Vietnam and Brazil, submitted to Earth’s Future, 2024.
  • Nguyen, Aires, A Downscaling of surface waters at global scale, submitted Remote Sensing, 2024.
  • Aires, Pellet, Introducing physical expert knowledge into AI models: An hybrid approach to close the water budget from satellite observations, J. of Hydrometeorology, in review, 2024.
  • Hascoet, Pellet, Aires, Learning global evapotranspiration dataset corrections from a water cycle closure supervision,  Remote Sensing, 2024, 16(1), 170,  10.3390/rs16010170.

2023:

  • Pellet, Aires, TA physical/statistical data-fusion for the dynamical downscaling of GRACE data at daily and 1 km resolution, J. of Hydrology, Vol. 628, 2024, 10.1016/j.jhydrol.2023.130565, 2023.
  • Dinh, Aires, Revisiting the bias correction of climate models for impact studies, Climate Change, 176, 140 (2023). 10.1007/s10584-023-03597-y, 2023.
  • Nguyen, Aires, A global topography-based floodability index for the downscaling, analysis and data-fusion of surface water datasets, J. of Hydrology, 10.1016/j.jhydrol.2023.129406, vol 620, Part A, 129406, 2023.
  • Boucher, Aires, Towards a new generation of AI-based IASI retrievals of surface temperature: Part II: Assessment, QJRMS, 10.1002/qj.4472, Vol 149, 754, pp 1593-1611,2023.
  • Boucher, Aires, Pellet, Towards a new generation of AI-based IASI retrievals of surface temperature: Part I: Methodology, QJRMS, 10.1002/qj.4447, Vol 149, 753, pp 1180-1196, 2023.
  • Ran, Aires, Ciais, Qiu, Wang, A Neural Network Classification Framework for Monthly and High Spatial Resolution Surface Water Mapping in the Qinghai–Tibet Plateau from Landsat Observations, J. of Hydrometeorology, 24, 10, 10.1175/JHM-D-22-0211.1, 2023.
  • Fluet-Chouinard, Stocker, Zhang, Malhotra,  Melton, Poulter, Kaplan, Goldewijk, Siebert, Minayeva, Hugelius, Prigent, Aires, Hoyt, Davidson, Finlayson, Lehner, Jackson, McIntyre, Reconstruction of three centuries of wetland loss, Nature Geoscience, 614, 281-286, 10.1038/s41586-022-05572-6, 2023.
  • Boucher, Aires, Improving remote sensing of extreme cases using AI methods – Application to IASI, Environmental Research Letter, 10.1088/1748-9326/acb3e3, 18, 024025, 2023.
  • Ran, Aires, Ciais, Qiu, Hu, Fu, Xue, Wang, The Status and Influencing Factors of Surface Water Dynamics on the Qinghai-Tibet Plateau During 2000–2020, IEEE Trans. on Geoscience & Remote Sensing, 61, 1-14, 4200114, 10.1109/TGRS.2022.3231552, 2023.

2022:

  • Dinh, Aires, Rahn, Statistical analysis of the weather impact on Robusta coffee yield in Vietnam, Frontiers in Environmental Science, Sec. Interdisciplinary Climate Studies, https://doi.org/10.3389/fenvs.2022.820916, 20 June 2022, 2022.
  • Pellet, Aires, Yamazaki, Zhou, A first continuous and distributed satellite-based mapping of river discharge over the Amazon, J. of Hydrology, 614, Par 1, https://doi.org/10.1016/j.jhydrol.2022.128481, 2022.
  • Fleischmann, Papa, Fassoni-Andrade, Melack, Wongchuig, Paiva, Hamilton, Fluet-Chouinard, Aires, Al Bitar, Bonnet, Coe, Ferreira-Ferreira, Barbedo, Hess, Jensen, McDonald, Ovando, Park, Parrens, Pinel, Prigent, Resende, Revel, Rosenqvist, Rosenqvist, Rudorff, Silva, Yamazaki, Collischonn, How much inundation occurs in the Amazon River basin?, RSE, https://doi.org/10.1016/j.rse.2022.113099, 2022.
  • Dinh, Aires, Nested leave-two-out cross-validation for the optimal crop yield model selection, Geoscientific Model Development, 15, 3519-3535, 10.5194/gmd-2021-218, 2022.

2021:

  • Bouillon, Safieddine, Whitburn, Clarisse, Aires, Pellet, Lezeaux, Scott, Clerbaux, Time evolution of the temperature profiles retrieved from 13 years of IASI data using an artificial neural network, Atmospheric Measurements Techniques, 10.5194/amt-2021-302, 2021
  • Fassoni-Andrade, Fleischmann, Papa, Wongchuig, Paiva, Moreira, Paris, Ruhoff, Barbosa, Maciel, Novo, Durand, Frappart, Aires, Ferreira-Ferreira, Espinoza, Laipelt, Melack, Stephane,  Espinoza-Villar, Pellet,Amazon hydrology from Space: Scientific advances and future challenges, Reviews of Geophysics, 10.1029/2020FG000728, 2021
  • Aires, Boucher, Pellet, Convolutional Neural Networks for satellite remote sensing at coast resolution. Application for the SST retrieval using IASI, RSE, 263, 112553, 10.1016/j.rse.2021.112553, 2021
  • Pellet, Aires, Yamazaki, Papa, Satellite monitoring of the water cycle over the Amazon using upstream/downstream dependency. Part~1: Methodology and initial evaluation, Water Resources Research, 57,5, 10.1029/2020WR028648, 2021.
  • Pellet, Aires, Yamazaki, Papa, Satellite monitoring of the water cycle over the Amazon using upstream/downstream dependency. Part~2: Mass-conserved reconstruction of total water storage change and river discharge, Water Resources Research, 57,5, 10.1029/2020WR028648, 2021.
  • Dorigo, Dietrich, Aires, Brocca, Dunkerley, Enomoto, Guntner, Hegglin, Hollmann, Hurst, Johannessen, Kummerow, Lee, Luojus, Looser, Miralles, Pellet, Recknagel, Vargas, Schenider, Schroder, Tapper, Vuglinsky, Wagner, Yu, Zappa, Zemp, Aich, Consistent monitoring of global water cycle variability across scales: What are we missing?, BAMS, 10.1175/BAMS-D-19-0316.1, 2021.
  • Aires, Weston, Fairbairn, De Rosnay, Statistical approaches to assimilate ASCAT soil moisture information: Part I Methodolgoies and first assessment, QJRMS, Vol 147, 746, pages 1823-1852, 10.1002/qj.3997, 2021.

2020:

  • Safieddine, Parracho, George, Aires, Pellet, Clarisse, Whitburn, Lezeaux, Thépaut, Hersbach, Radnoti, Goettsche, Martin, Doutriaux-Boucher, Coppens, August, Zhou, Clerbeaux, Artificial Neural Network to retrieve land and sea skin temperature from IASI, Remote Sensing, 12(17),10.3390/rs12172777, 2020.
  • Prigent, Kilic, Aires, Heygter, Pellet, Jimenez, Estimation of Sea Ice Concentration from multi-channel passive microwave satellite observations. Part 2: evaluation of a new methodology optimized for the Copernicus Imaging Microwave Radiometer, Remote Sensing, 12(10), 1594, 10.3390/rs12101590, 2020.
  • Kilic, Prigent, Aires, Heygster, Pellet, Jimenez, Ice concentration retrieval from the analysis of microwaves: a new methodoloy designed for the Copernicus Imaging Microwave Radiometer (CIMR), Remote Sensing,12(7):1060, 10.3390/rs12071060, 2020.
  • Fleischmann, Paiva, Collischonn, Siqueira, Paris, Moreira, Papa, Bitar, Parrens, Aires, Garambois, Trade-offs between 1D and 2D regional river hydrodynamic models, Water Resources Research, 56(8), 10.1029/2019WR026812, 2020.
  • Aires, Venot, Massuel, Gratiot, Pham-Duc, Prigent, Surface water evolution (2001-2017) at the Cambodia/Vietnam border in the Upper Mekong Delta using satellite MODIS observations, Remote Sensing, 12(5), 8000, doi.org/10.3390/rs12050800, 2020.
  • Aires, and Pellet, Estimating retrieval errors from neural network inversion schemes – Application to the retrieval of temperature profiles from IASI, IEEE TGRS, p. 1-11, 10.1109/TGRS.2020.3026944, 2020.
  • Pellet, Aires, Papa, Munier, Decharme, Long-term total water storage change from a SAtellite Water Cycle (SAWC) reconstruction over large South Asian basins, Hydrol. Earth Syst. Sci., 24, 3033–3055, 2020, https://doi.org/10.5194/hess-24-3033-2020.
  • Wang, Zhuang, Aires, Prigent, Yu, Keller, Bridgham, Simulating Holocen peat soil carbon accumulation in North America, JGR-Biosphere, https://doi.org/10.1029/2019JG005230, 2020.
  • Aires, F., Surface water maps de-noising and missing-data filling using determinist spatial filters based on several a priori information, RSE, i237 111481, https://doi.org/10.1016/j.rse.2019.111481, 2020.

2019:

  • Rodriguez-Fernandez, de Rosnay, Albergel, Richaume, Aires, Prigent, Kerr, SMOS neural network soil moisture data assimilation in a land surface model and atmospheric impact, Rem. Sens., 11, 1334, 10.3390/rs11111334, 2019.
  • Daskin, F. Aires , A.C. Staver, Determinants of tree cover in tropical floodplains: climate, fire, and hydrology, PNASS, 286, 1914, , https://doi.org/10.1098/rspb.2019.1755, 2019.
  • Dinh, L-A, and F. Aires, River discharge estimation based on satellite water extent and topography at high spatial resolution – An application over the Amazon, J. of Hydrometeorology, 10.1175/JHM-D-18-0206.1, 2019.
  • Favrichon, S., C. Prigent, C. Jimenez, and F. Aires, Detecting cloud contamination in passive microwave satellite measurements over land, Atmos. Meas. Tech., 12, 1531-1543, 10.5194/amt-12-1531-2019, 2019.
  • Kilic, L., P. Catherine, F. Aires, J. Boutin, G. Heygster, R. Tonboe, H. Roquet, Expected performances of the Copernicus Imaging Microwave Radiometer (CIMR) for an all-weather and high spatial resolution estimation of ocean and sea ice parameters, JGR-Oceans, 123(10), 7564-7580, 10.1029/2018JC014408, 2019.
  • Pellet, V., F. Aires, S. Munier, D. Fernández Prieto, G. Jordá, W.A. Dorigo, J. Polcher, and L. Brocca, Optimisation of satellite observations to study the water cycle over the Mediterranean region, 23(1), Hydrol. Earth Syst. Sci., 465-491, doi: 10.5194/hess-23-465-2019, 2019.
  • Pham-Duc, B., F. Papa, C. Prigent, F. Aires, S. Biancamaria, and F. Frappart, Variations of surface and subsurface water storage in the Lower Mekong Basin (Vietnam and Cambodia) from Multisatellite Observations, Water, 11, 75, 23(1), doi: 10.3390/w11010075, 2019.

2018:

  • Aires, F., C. Prigent, F. Papa, E. Fluet-Chuinard, B. Lehner, and D. Yamazaki, Comparison of visible (G3WBM and GSWO) and multi-satellite (GIEMS-D3) global inundation datasets at high-spatial resolution, RSE, 216, 427-441, 10.1016/j.rse.2018.06.015, 2018.
  • Pellet, V., and F. Aires, Analyzing the Mediterranean water cycle via satellite data integration, Pure Appl. Geophys, 10.1007/s00024-018-1912-z, 1-29, 2018.
  • Aires, F., C. Prigent, S. Buehler, M. Milz, P. Eriksson, and S. Crewell, Towards more realistic hypotheses for the information content analysis of cloudy/precipitating situations – Application to the hyper-spectral instrument in the microwaves, QJRMS, 10.1002/qj.3315, 2018.
  • Alemohammad, S.H., Kolassa, J., Prigent, C., Aires, F. and Gentine, P. Global Downscaling of Remotely-Sensed Soil Moisture using Neural Networks, HESS, 10.5194/hess-2017-680, 2018.
  • Pellet, V., F. Aires, Bottleneck channels algorithm for satellite dimension reduction: A case study for IASI, IEEE TGRS, 56, 10, 6069-6081, 10.1109/TGRS.2018.2830123, 2018.
  • Mathieu, J., and F. Aires, SUsing neural network classifier approach for statistically forecasting extreme corn yield losses in Eastern United States, Earth and Space Science, 10.1029/2017EA000343, 2018.
  • Mathieu, J., and F. Aires, Impact of agro-climatic indices to improve crop yield forecasting, Agriculture and Forest Meteorology, 253-254, 15-30, 2018.

2017:

  • Munier, S., F. Aires, A new global method of satellite dataset merging and quality characterization constrained by the terrestrial water cycle budget, RSE, 205:119-130, 10.1016/J.rse.2017.11.008, 2017.
  • Alemohammad, S.H., B. Fang, A.G. Konings, J.K. Green, J. Kolassa, C. Prigent, F. Aires, D. Miralles, and P. Gentine, Water, energy, and carbon with artificial neural networks (WECANN): A statistically-based estimate of global surface turbulent fluxes using solar-induced fluorescence, Biogeosciences, 14, 4101-4124, 10.5194/bg-14-4101-2017, 2017.
  • Wang, D., C. Prigent, L. Killic, S. Fox, C. Jimenez, F. Aires, C. Grassoti, and F. Karbou,Surface emissivity at microwaves to millimeter waves over polar regions: parameterization and evaluation with aircraft experiments, J. Atmos. and Ocean. Technology, 34(5), 10.1175/JTECH-D-16-0188.1, 2017.
  • Salameh, E., F. Frappart, F. Papap, A. Guntner, V. Venugopal, A. Getirana, C. Prigent, F. Aires, D. Labat, and B. Laignel, Fifteen years (1993-2007) of surface freshwater storage variability in the Ganges-Brahmaputra River basin using multi-satellite observations, Water, 9(4), 245; 10.3390/w9040245, 2017.
  • Kolassa, J., P. Gentine, F. Aires, and C. Prigent,  Remote sensing of soil moisture using AMSR-E and ASCAT synergy. Part 2: Product Evaluation, RSE, 195:202-217, 10.1016/j.rse.2017.04.020, 2017.
  • Pham-Duc, B., C. Prigent, F. Aires, Surface water monitoring in the Mekong delta over a year with Sentinel-1 SAR observations, Water, 9, 6, 366, 10.3390/w9060366, 2017.
  • Prigent, C., F. Aires, D. Wang, S. Fow, S. Harlow, Sea-surface emissivity parameterization from microwaves to millimeter waves, QJRMS, 143, 702, 596–605, 10.1002/qj.2953, 2017.
  • Pham-Duc, B., C. Prigent, F. Aires, and F. Papa, Comparisons of global terrestrial surface water datasets over 15 years, J. of Hydrometeorology, 10.1175/JHM-D-16-0206.1, 2017.
  • Aires, F., L. Miolane, C. Prigent, E. Fluet-Chouinard, B. Lehner, and F. Papa, A global, long-term and high spatial resolution inundation extent database, J. Hydrometeorology, 10.1175/JHM-D-16-0155.1, 2017.

2016:

  • Wang, D., C. Prigent, F. Aires, and C. Jimenez, A statistical retrieval of cloud parameters for millimeter wave Ice Cloud Imager on board Metop-SG, IEEE TGRS, 99, 10.1109/ACCESS.2016.2625742, 2016.
  • Mathieu, J., and F. Aires, Statistical impact models for agriculture: an application of mixed-effects and neural networks for corn over USA, J. Appl. Meteor. Climatol., 10.1175/JAMC-D-16-0055.1, 2016.
  • Prigent, C., C. Jimenez, F. Aires, Towards an “all-weather”, long record, and real-time surface temperature retrievals from microwave satellite observations, JGR, 10.1002/2015JD024402, 2016.
  • Pellet, V., and F. Aires, F., Dimension reduction of satellite observations for remote sensing, Part II: Illustration using hyper-spectral microwave observations, QJRMS, 10.1002/qj.2857, 2016.
  • Aires, F., V. Pellet, C. Prigent, J.-L. Moncet, Dimension reduction of satellite observations for remote sensing, Part I: A comparison of compression, channel selection, and bottleneck channel approaches, QJRMS, 10.1002/qj.2855, 2016.
  • Kolassa, J., P. Gentine, C. Prigent, and F. Aires,  Remote sensing of soil moisture using AMSR-E and ASCAT observations, RSE, 1-73, 1-14, 2016.
  • Prigent, C., Lettenmeyer, F. Aires and F. Papa, Challenges in satellite remote sensing of continental hydrology, Surveys in Geophysics, 10.1007/s10712-015-9339, 37 (2), pp 339–3552015, 2016.

2015:

  • Pan, M., C.K. Fisher, N.W. Chaney, W. Zhan, F. Aires, W.T. Crow, D. Entekhavi, and E. Wood, Triple collocation: Beyond three estimates and separation of structural/non-structural errors, RSE, 171, 299-310, 2015.
  • Birman, C., J.-F. Mahfouf, F. Aires, C. Prigent, E. Orlandi, and M. Milz, Information content on temperature and water vapour from an hyper-spectral microwave sensor, QJRMS, 10.1002/qj.2608, 2015.
  • Rodriguez-Fernandez, N.J., F. Aires, P. Richaume, F. Cabot, C. Jimenez, J. Kerr, J. Kolassa, A. Mahmoodi, C. Prigent, and M. Drush, Soil moisture retreival from SMOS observations using neural networks, IEEE TGRS, 53, 11, 10.1109/TGRS.2015.2430845, 2015.
  • Lipton, A.E., P Liang, C. Jimenez, J.-L. Moncet, F. Aires, C. Prigent, R. Lynch, J.F. Galantowicz, R.P. d’Entremont and G. Uymin, Sources of discrepancies between satellite-derived and land surface model estimates of latent heat fluxes, JGR, 120, 2324-2341, 10.1002/2014JD022641, 2015.
  • Prigent, C., P. Liang, Y. Tian, F. Aires, J.-L. Moncet, and S.-A. Boukabara, Evaluating modeled microwave emissivity, JGR, 120, 2706-2718, 10.1002/2014JD021817, 2015.
  • Aires, F., C. Prigent, E. Orlandi, M. Miltz, P. Eriksson, and S. Crewell, Microwave hyper-spectral measurements for temperature and humidity atmospheric profiling – Par I: Clear-sky case, JGR, 120, 21, 11,334-11,351, 10.1002/2015JD023331, 2015.
  • Papa, F., F. Frappart, Y. Malbeteau, M. Shamsudduha, V. Venugopal, M. Sekhar, G. Ramillien, C. Prigent, F. Aires, R.K. Pandey, S. Bala, and S. Calmant, Satellite-derived surface and sub-surface water storage in the Ganges-Brahmaputra river basin, JoH: Regional studies, 10.1016/j.ejrh.2015.03.004, 2015.
  • Munier, S., F. Aires, S. Schlaffer, C. Prigent, F. Papa, P. Maisongrande, and M. Pan, Combining datasets of satellite retrieved products. Part II: Evaluation on the Mississippi Basin and closure correction model, JGR, 10/2014, 10.1002/2014JD021953, 2015.
  • Prigent, C., F. Aires, C. Jimenez, F. Papa and J. Roger, Multi-angle backscattering observations of continental surfaces in Ku band (13 GHz) from satellites: understanding the signals, especially in arid regions, IEEE Trans. on Geoscience and Rem. Sens., 53, 3, 2015.

2014:

  • Matsui, T., J. Santanello, J. Shi, W-K Tao, D. Wu, C. Peters-Lidard, E. Kemp, M. Chin, D. Starr, M. Sekigushi, and F. Aires, Introducing multisensor satellite radiance-based evaluation for regional Earth system modeling, JGR, 119: 10.1002/jgrd.v119.13, 8450-8475, 2014.
  • Paul, M., and F. Aires, Using Shannon’s entropy to sample heterogeneous and high-dimensional atmospheric datasets, QJRMS, 10.1002/qj.2373, 2014.
  • Aires, F. Combining datasets of satellite retrieved products. Part I: Methodology and water budget closure, J. of Hydrometeor., 10.1175/JHM-D-13-0148.1, 2014.
  •  Aires, F., F. Papa, C. Prigent, J.-F. Crétaux and M. Berge-Nguyen, Characterization and downscaling of the inundation extent over the Inner Niger delta using a multi-wavelength retrievals and Modis data, J. of Hydrometeoroloy, 27, 1958-1979, 10.1175/JCLI-D-13-00161.1, 2014.
  • Aires, F., P. Gentine, K. Findell, B.R. Lintner, and C. Kerr, Neural network-based sensitivity analysis of summertime convection over continental US, J. of Clim., 27, 1958-1979, 10.1175/JCLI-D-13-00161.1, 2014.

2013:

  • Papa, F., F. Frappart, A. Guntner, C. Prigent, F. Aires, W.B. Rossow, A. Getirana, and R. Maurer, Surface freshwater storage and variability in the Amazon basin from multi-satellite observations, 1993-2007, JGR, 118, 21, 11.951-11.965, 10.1002/2013JD020500, 2013.
  • Foley, E., A. Friend, D. Dalmonech, F. Aires, A. Archibald, P. Bartlein, L. Bopp, J. Chappellaz, P. Cox, N. Edwards, G. Feulner, P. Friedlingtein, S. P. Harrison, P.O. Hopcroft, C.D. Jones, J. Kolassa, J. Levine, I.C. Prentice, J. Pyle, N. Vazquez Riveiros, E. Wolff, S. Zaehle, Improving constraints on biopheric feedbacks in Earth system models, Biogeosciences Discuss, 10, 10937-10995, 10.5194/bgd-10-10937-2013, 2013.
  • Jimenez, C., D.B. Clark, J. Kolassa, F. Aires, C. Prigent, and E. Blyth, A joint analysis of modeled soil moisture fields and satellite observations, JGR, 118, 12, 6771-6782, 2013.
  • Prigent, C., F. Aires, F. Bernardo, J.-C. Orlhac, J.-M. Goutoule, H. Roquet, and C. Donlon, Analysis of the potential and limitation of microwave radiometry for the retrieval of Sea Surface Temperature: Definition of new mission concepts, JGR, 118, 6, 3074-3086, 10.1002/jgrc.20222, 2013.
  • Tian, Y., C.D. Peters-Lidard, K.W. Harrison, C. Prigent, H. Norouzi, F. Aires, S.-A. Boukabara, F.A. Furuzawa, and H. Masunaga, Quantifying uncertainties in land surface microwave emissivity retrievals, IEEE TGRS, 99, 10.1109/TGRS.2013.2244214, 2013.
  • Aires, F., F. Papa and C. Prigent, A long-term, high-resolution wetland dataset over the Amazon basin, downscaled from a multi-wavelength retrieval using SAR, J. of Hydrometeorology, 14, 594-6007, 2013.
  • Kolassa, J., F. Aires, J. Polcher, C. Prigent, C. Jimenez, and J.M. Pereira, Soil moisture retrieval from multi-instrument observations: Part I – Information content analysis and retrieval methodology, JGR, 118, 10, 4847-4859, 10.1029/2012JD018150, 2013.

2012:

  • Aires, F., O. Aznay, C. Prigent, M. Paul, F. Bernardo, Synergetic multi-wavelegnth remote sensing versus a posteriori combination of retrieved products: Application for the retrieval of atmospheric profiles using MetOp measurements, JGR, 117, D18304, 10.1029/2011JD017188, 2012.
  • Ferraro, R., C. Peters-Lidard, C. Hernandez, F.J. Turk, F. Aires, C. Prigent, W. Lon, S-A. Boukabara, F. Furuzawa, K.Gopalan, K. Harrison, F. Karbou, L. Li, C. Liu, H. Masunaga, L. Moy, S.Ringerud, G. Skofronick-Jackson, Y. Tian, N-Y. Wang, An evaluation of microwave land surface emissivities over the continental UnitedStates to benefit GPM-era precipitation algorithms. IEEE Trans. on Geosci. and Rem. Sens., 99, 1-31, 10.1109/TGRS.2012.2199121, 2012.
  • Aires, F., Using random-effect models to build impact indices when the available historical record is short, J. Appl. Meteorol. and Climat., 51, 1994-2004, 10.1175/JAMC-D-11-0125.1, 2012.
  • Paul, M., F. Aires, and C. Prigent, An innovative physical scheme to retrieve simultaneously surface temperature and emissivities based on a high-resolution infrared emissivity interpolator, JGR, 117, D11302, 10.1029/2011JD017296, 2012.
  • Prigent, C., F. Papa, F. Aires, C. Jimenez, W.B. Rossow, E. Matthews, Changes in land surface water dynamics since the 1990s and relation to population pressure, GRL, 39, L08403, 10.1029/2012GL051276, 2012.
  • Bernardo, F., F. Aires, and C. Prigent, Atmospheric water vapour retrieval from microwave instruments – Part II : Evaluation for the Megha-Tropiques mission, QJRMS, 10.1002/qj.1946, 2012.
  • Aires, F., Bernardo, F., and C. Prigent, Atmospheric water vapour retrieval from microwave instruments – Part I : Methodology, QJRMS, 10.1002/qj.1888, 2012.

2011:

  • Prigent, C., J. Catherinot, R. Maurer, F. Papa, C. Jimenez, F. Aires, and W.B. Rossow, Evaluation of ‘all weather’ microwave-derived land surface temperatures with in situ CEOP measurements, JGR, 116, D23105, 10.1029/2011JD016439, 2011.
  • Prigent, C., N. Rochetin, F. Aires, E. Defer, J-Y Grandpeix, C. Jimenez, F. Papa, Impact of the inundated areas on the deep convection at continental scale from satellite observations and modeling experiments, JGR, 116, D24118, 10.1029/2011JD16311, 2011.
  • Aires, F., Marquisseau, F., Prigent, C., and Seze, G., A land and ocean microwave cloud classification derived from AMSU-A and -B, calibrated on MSG-SEVIRI infrared and visible observations, MWR, 139, 2347-2366, http://dx/doi.org/10.1175/MWR-D-10-05012.1, 2011.
  • Aires, F., C. Prigent, F. Bernardo, C. Jimenez, R. Sounders, and P. Brunel, A Tool to Estimate Land Surface Emissivities in the Microwaves (TELSEM) for use in numerical weather prediction schemes. QJRMS, 137: 690-699, 10.1002/qj.803, 2011.
  • Aires, F., Measure and exploitation of multi-sensor and multi-wavelength Synergy for remote sensing: Part I – Theoretical considerations, JGR, 116, D02301, 10.1029/2010JD014701, 2011.
  • Aires, F., M. Paul, C. Prigent, B. Rommen, and M. Bouvet, Measure and exploitation of multi-sensor and multi-wavelength Synergy for remote sensing: Part II – An application for the retrieval of atmospheric temperature and water vapour from METOP, JGR, 116, D02302, 10.1029/2010JD014702, 2011.

2010::

  • Aires, F., F. Bernardo, H. Brogniez, and C. Prigent, Calibration for the inversion of satellite observations, J. of Applied Meteorology and Climatology, 49, 12, 2458-2473, 2010.
  • Papa, F., C. Prigent, C. Jimenez, F. Aires, W.B. Rossow, and E. Matthews, Interannual variability of surface water extent at global scale, 1993-2004, JGR, 115, D12111, 10.1029/2009JD012674., 2010.

2009::

  • Jimenez, C., C. Prigent and F. Aires, Toward an estimation of global land surface heat fluxes from multisatellite observation, JGR, 114, D06305, 10.1029/2008JD011392, 2009.
  • Cheruy F., and F. Aires, Cluster analysis of cloud properties over the Southern Europe Mediterranean area in observations and a model, MWR, 137, 10, 3161-3176, 2009.