Cédric Bacour

2025

• Raoult, N., Douglas, N., MacBean, N., Kolassa, J., Quaife, T., Roberts, A.G., Fisher, R., Fer, I., Bacour, C., Dagon, K., others, (2025). Parameter estimation in land surface models: Challenges and opportunities with data assimilation and machine learning. Journal of Advances in Modeling Earth Systems 17, e2024MS004733.
• Beylat, S., Raoult, N., Bacour, C., Douglas, N., Quaife, T., Bastrikov, V., Rayner, P.J., Peylin, P., (2025). Towards the assimilation of atmospheric CO2 concentration data in a land surface model using adjoint-free variational methods. Geoscientific Model Development 18, 7501–7527.
• Abadie, C., Maignan, F., Bacour, C., Peylin, P., (2025). Evidence for vegetation acclimation to atmospheric dryness during European droughts from a land surface model. Global Biogeochemical Cycles 39, e2024GB008362.

2023

• Perez-Quezada, J.F., Barichivich, J., Urrutia-Jalabert, R., Carrasco, E., Aguilera, D., Bacour, C., Lara, A., (2023). Warming and drought weaken the carbon sink capacity of an endangered paleoendemic temperate rainforest in South America. Journal of Geophysical Research: Biogeosciences 128, e2022JG007258.
• Bacour, C., MacBean, N., Chevallier, F., Léonard, S., Koffi, E.N., Peylin, P., (2023). Assimilation of multiple datasets results in large differences in regional-to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model. Biogeosciences 20, 1089–1111.
• Liu, X., Liu, L., Bacour, C., Guanter, L., Chen, J., Ma, Y., Chen, R., Du, S., (2023). A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band. Remote sensing of environment 284, 113341.

2022

• MacBean, N., Bacour, C., Raoult, N., Bastrikov, V., Koffi, E.N., Kuppel, S., Maignan, F., Ottle, C., Peaucelle, M., Santaren, D., 2022. Quantifying and reducing uncertainty in global carbon cycle predictions: Lessons and perspectives from 15 years of data assimilation studies with the ORCHIDEE terrestrial biosphere model. Global Biogeochemical Cycles 36, e2021GB007177.
• Stettz, S.G., Parazoo, N.C., Bloom, A.A., Blanken, P.D., Bowling, D.R., Burns, S.P., Bacour, C., Maignan, F., Raczka, B., Norton, A.J., others, (2022). Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework. Biogeosciences 19, 541–558.

2021

• Guanter, L., Bacour, C., Schneider, A., Aben, I., van Kempen, T.A., Maignan, F., Retscher, C., Köhler, P., Frankenberg, C., Joiner, J., others, (2021). The TROPOSIF global sun-induced fluorescence dataset from the Sentinel-5P TROPOMI mission. Earth System Science Data 13, 5423–5440.
• Chen, X., Ciais, P., Maignan, F., Zhang, Y., Bastos, A., Liu, L., Bacour, C., Fan, L., Gentine, P., Goll, D., others, (2021). Vapor pressure deficit and sunlight explain seasonality of leaf phenology and photosynthesis across Amazonian evergreen broadleaved forest. Global Biogeochemical Cycles 35, e2020GB006893.
• Remaud, M., Chevallier, F., Maignan, F., Belviso, S., Berchet, A., Parouffe, A., Abadie, C., Bacour, C., Lennartz, S., Peylin, P., (2021). Plant gross primary production, plant respiration and carbonyl sulfide emissions over the globe inferred by atmospheric inverse modelling. Atmospheric Chemistry and Physics Discussions 2021, 1–43.

2020

• Parazoo, N. C., Magney, T., Norton, A., Raczka, B., Bacour, C., Maignan, F., … & Frankenberg, C. (2020). Wide discrepancies in the magnitude and direction of modeled solar-induced chlorophyll fluorescence in response to light conditions. Biogeosciences, 17(13), 3733-3755.
• Bacour, C., Bréon, F. M., Gonzalez, L., Price, I., Muller, J. P., & Straume, A. G. (2020). Simulating Multi-Directional Narrowband Reflectance of the Earth’s Surface Using ADAM (A Surface Reflectance Database for ESA’s Earth Observation Missions). Remote Sensing, 12(10), 1679.

2019

• Viallefont-Robinet, F., Bacour, C., Bouvet, M., Kheireddine, M., Ouhssain, M., Idoughi, R., … & Rivière, T. (2019). Contribution to sandy site characterization: spectro-directional signature, grain size distribution and mineralogy extracted from sand samples. Remote Sensing, 11(20), 2446.
• Bacour, C., Maignan, F. MacBean, N., Porcar-Castell, A., Flexas, J., Frankenberg, C., Peylin, P., Chevallier, F., Vuichard, N., Bastrikov, V. (2019). Improving estimates of Gross Primary Productivity by assimilating solar-induced fluorescence satellite retrievals in a terrestrial biosphere model using a process-based SIF model, Journal of Geophysical Research: Biogeosciences, 124(11), 3281-3306.
• Bacour, C., Maignan, F., Peylin, P., MacBean, V., Bastrikov, V., Joiner, J., Köhler, P., Guanter, L., Frankenberg, C. (2019). Differences between OCO-2 and GOME-2 SIF products from a model-data fusion perspective, Journal of Geophysical Research: Biogeosciences, 124(10), 3143-3157.
• Peaucelle, M., Bacour, C., Ciais, P., Vuichard, N., Kuppel, S., Peñuelas, J., … & Delpierre, N. (2019). Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model. Global Ecology and Biogeography.
• Bacour, C., Briottet, X., Bréon, F. M., Viallefont-Robinet, F., & Bouvet, M. (2019). Revisiting Pseudo Invariant Calibration Sites (PICS) Over Sand Deserts for Vicarious Calibration of Optical Imagers at 20 km and 100 km Scales. Remote Sensing, 11(10), 1166.

2018

• Bastrikov, V., MacBean, N., Bacour, C., Santaren, D., Kuppel, S., & Peylin, P. (2018). Land surface model parameter optimisation using in situ flux data: comparison of gradient-based versus random search algorithms (a case study using ORCHIDEE v1. 9.5. 2). Geoscientific Model Development, 11(12), 4739-4754.
• Bousquet, P., Pierangelo, C., Bacour, C., Marshall, J., Peylin, P., Vaittinada Ayar, P., … & Gibert, F. (2018). Error budget of the MEthane Remote LIdar missioN (MERLIN) and its impact on the uncertainties of the global methane budget. Journal of Geophysical Research: Atmospheres.
• MacBean, N., Maignan, F., Bacour, C., Lewis, P., Peylin, P., Guanter, L., … & Disney, M. (2018). Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data. Scientific reports, 8(1), 1973.

2017

• Li, Y., Yang H., Wang T., MacBean N., Bacour C., Ciais P., Zhang Y., Zhou G. and Piao S. (2017), Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests, and its implication for simulated climate sensitivities, Global Biogeochemical Cycles, 31, doi:10.1002/2017GB005714.
• Thum, T., MacBean N., Peylin P., Bacour C., Santaren D., Longdoz B., Loustau D. and Ciais P. (2017), The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: case studies at two temperate forest sites, Agricultural and Forest Meteorology, 234:48-65

2016

• Peylin, P., Bacour, C., MacBean, N., Leonard, S., Rayner, P. J., Kuppel, S., Koffi, E. N., Kane, A., Maignan, F., Chevallier, F., Ciais, P., and Prunet, P. (2016). A new step-wise Carbon Cycle Data Assimilation System using multiple data streams to constrain the simulated land surface carbon cycle, Geosci. Model Dev. Discuss., doi: 10.5194/gmd-2016-13

2015

• MacBean, N., Maignan, F., Peylin, P., Bacour, C., Bréon, F.-M., and Ciais, P. (2015). Using satellite data to improve the leaf phenology of a global terrestrial biosphere model, Biogeosciences, 12, 7185-7208, doi: 10.5194/bg-12-7185-2015
• Bacour, C., Peylin, P., Macbean, N., Rayner, P.J., Delage, F., Chevallier, F., Weiss, M., Demarty, J., Santaren, D., Baret, F., Berveiller, D., Dufrêne, D., Prunet, P. (2015). Joint assimilation of eddy-covariance flux measurements and FAPAR products over temperate forests within a process-oriented biosphere model, J. Geophys. Res. Biogeosci., 120, 1839-1857, doi: 10.1002/2015JG002966

2014

• Santaren D., Peylin P., Bacour C., Ciais P., Longdoz B., (2014), Ecosystem model optimization using in-situ flux observations: benefit of Monte-Carlo vs. variational schemes and analyses of the year-to-year model performances, Biogeosciences Discuss., 10(100), 18009–18064.

2013

• Peng S.S., Piao S.L., Shen Z.H., Ciais P., Sun Z.Z., Chen S.P., Bacour C., Peylin P., Chen A.P. (2013), Precipitation amount, seasonality and frequency regulate carbon cycling of a semi-arid grassland ecosystem in Inner Mongolia, China: A modeling analysis, Agricultural and Forest Meteorology, 178: 46-55, doi: 10.1016/j.agrformet.2013.02.002

2012

• Kuppel S., Peylin P., Chevallier F., Bacour C., Maignan F., Richardson A.D., (2012), Constraining a global ecosystem model with multi-site eddy-covariance data, Biogeosci. 9, 3757-3776.
• Luo Y. Q., Randerson J. T., Abramowitz G., Bacour C., Blyth E., Carvalhais N., Ciais, P., Dalmonech D., Fisher J. B., Fisher R., Friedlingstein P., Hibbard K., Hoffman F., Huntzinger D., Jones C. D., Koven C., Lawrence D., Li D. J., Mahecha M., Niu S. L., Norby R., Piao S. L., Qi X., Peylin P., Prentice I. C., Riley W., Reichstein M., Schwalm C., Wang Y. P., Xia J.Y., Zaehle S., Zhou X. H. (2012), A framework for benchmarking land models, Biogeosciences, 9(10): 3857-3874, DOI:10.5194/bg-9-3857-2012

2011

• Verbeeck H., Peylin P., Bacour C., Bonal D., Steppe K. Ciais P. (2011), Seasonal patterns of CO2 fluxes in Amazon forests: Fusion of eddy covariance data and the ORCHIDEE model, Journal of Geophysical Research-Biogeosciences, 116: DOI: 10.1029/2010JG001544.

2009

• Jacquemoud S., Verhoef W., Baret F., Bacour C., Zarco-Tejada P.J., Asner G.P., François C., Ustin S.P. (2009), PROSPECT + SAIL models: A review of use for vegetation characterization, Remote Sensing of Environment, 113(1): S56-S66.

2007

• Maignan F., Bréon F.-M., Bacour C., Demarty J., Poirson A. (2007), Inter-annual vegetation phenology estimates from global AVHRR measurements. Validation with in situ data, Remote Sensing of Environment, 112(2):496-505
• Béal D., Baret F., Bacour C., Gu X.F. (2007), A method for aerosol correction from the spectral variation in the visible and near infrared.Application to the MERIS sensor, International Journal of Remote Sensing, 28 (3-4): 761-779.

2006

• Bacour C., Baret F., Béal D., Weiss M., Pavageau K. (2006), Neural network estimation of LAI, fAPAR, fCover and LAIxCab, from top of canopy MERIS reflectance data: principles and validation, Remote Sensing of Environment, 105(4): 313-325.
• Bacour C., Bréon F.-M., Maignan F. (2006), Normalization of the directional effects in NOAA-AVHRR reflectance measurements for an improved monitoring of vegetation cycles, Remote Sensing of Environment, Remote Sensing of Environment, 102(3-4): 402-413.
• Baret F., Morissette J., Fernandes R., Champeaux J.L., Myneni R., Chen J., Plummer S., Weiss M., Bacour C., Derive G. (2006), Evaluation of the representativeness of networks of sites for the validation and inter-comparison of global land biophysical products. Proposition of the CEOS-BELMANIP, IEEE Transactions on Geosciences and Remote Sensing, 44(7): 1794- 1803.

2005

• Bacour C., Bréon F.-M. (2005), Variability of biome reflectance directional signatures as seen by POLDER, Remote Sensing of Environment, 98: 80-95.

2003

• Di Bella C.M., Paruelo J.M., Becerra J., Bacour C., Baret F. (2003), Effect of senescent leaves on NDVI-based estimates of fAPAR: experimental and modeling evidences, International Journal of Remote Sensing, 25(23): 5415-5427.

2002

• Weiss M., Baret F., Leroy M., Hautecoeur O., Bacour C., Prévot L., Bruguier N. (2002), Validation of Neural Network techniques to estimate canopy biophysical variables from remote sensing data, Agronomie, 22(6):547-553.
• Bacour C., Jacquemoud S., Leroy M., Hautecoeur O., Weiss M., Prévot L., Bruguier N., Chauki H. (2002), Reliability of the estimation of vegetation characteristics by inversion of three canopy reflectance models on airborne POLDER data, Agronomie, 22(6):555-565.
• Bacour C., Jacquemoud S., Tourbier Y., Dechambre M., Frangi J.P. (2002), Design and analysis of numerical experiments to compare four canopy reflectance models, Remote Sensing of Environnement., 79(1):72-83.

2001

• Pinty B., Gobron N., Widlowski J.L., Gerstl S.A.W., Verstraete M.M., Antunes M., Bacour C., Gascon F., Gastellu J.P., Goel N., Jacquemoud S., North P., Qin W., Thompson R. (2001), The RAdiation transfer Model Intercomparison (RAMI) Exercise, Journal of Geophysical Research, 106(D11):11937-11956.

2000

• Jacquemoud S., Bacour C., Poilvé H., Frangi J.-P. (2000), Comparison of four radiative transfer models to simulate plant canopies reflectance – direct and inverse mode, Remote Sensing of Environnement, 74:471-481.

PhD

• Contribution à la détermination des paramètres biophysiques des couverts végétaux par inversion de modèles de réflectance : analyses de sensibilité comparatives et configurations optimales, Université Paris 7, 204 pages (http://www.theses.fr/2001PA077164)