(based on ORCHIDEE Data Assimilation System)


  1. Raoult, N., Ottlé, C., Peylin, P., Bastrikov, V., and Maugis, P., : Evaluating and Optimising Surface Soil Moisture drydowns in the ORCHIDEE land-surface model, Journal of Hydrometeorology, 22, 4, P. 1025-1043, doi: 10.1175/JHM-D-20-0115.1 


  1. Bacour, C., Maignan, F., MacBean, N., Porcar-Castell, A., Flexas, J., Frankenberg, C., Peylin, P., Chevallier, F., Vuichard, N., and Bastrikov, V.: Improving estimates of Gross Primary Productivity by assimilating solar-induced fluorescence satellite retrievals in a terrestrial biosphere model using a process-based SIF model, J. Geophys. Res. Biogeosci., 124, 11, 3281-3306, doi: 10.1029/2019JG005040  
  2. Bacour, C., Maignan, F., Peylin, P., MacBean, N., Bastrikov, V., Joiner, J., Köhler, P., Guanter, L., and Frankenberg, C.: Differences Between OCO-2 and GOME-2 SIF Products From a Model-Data Fusion Perspective, J. Geophys. Res. Biogeosci., 124, 10, 3143-3157, doi: 10.1029/2018JG004938 
  3. Peaucelle, M., Bacour, C., Ciais, P., Vuichard, N., Kuppel, S., Peñuelas, J., Marchesini, L.B., Blanken, P.D., Buchmann, N., Chen, J., Delpierre, N., Desai, A.R., Dufrene, E., Gianelle, D., Gimeno‐Colera, C., Gruening, C., Helfter, C., Hörtnagl, L., Ibrom, A., Joffre, R., Kato, T., Kolb, T.E., Law, B., Lindroth, A., Mammarella, I., Merbold, L., Minerbi, S., Montagnani, L., Šigut, L., Sutton, M., Varlagin, A., Vesala, T., Wohlfahrt, G., Wolf, S., Yakir, D., Viovy, N.: Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model, Submitted to Global Ecology and Biogeography, doi: 10.1111/geb.12937  


  1. Liu, D., Li, Y., Wang, T., Peylin, P., MacBean, N., Ciais, P., Jia, G., Ma, M., Ma, Y., Shen, M., Zhang, X., and Piao, S.: Contrasting responses of grassland water and carbon exchanges to climate change between the Tibetan Plateau and Inner Mongolia, Agricultural and Forest Meteorology, 249, 163-175, doi: 10.1016/j.agrformet.2017.11.034
  2. MacBean, N., Maignan, F., Bacour, C., Lewis, P., Peylin, P., Guanter, L., Köhler, P., Gomez-Dans, J., and Disney, M.: Strong constraint on modeled global carbon uptake using solar-induced chlorophyll fluorescence data, Scientific Reports, 8, 1973, doi: 10.1038/s41598-018-20024-w  
  3. Wang, F., Polcher, J., Peylin, P., and Bastrikov, V.: Assimilation of river discharge in a land surface model to improve estimates of the continental water cycles, Hydrol. Earth Syst. Sci., 22, 3863-3882, doi: 10.5194/hess-22-3863-2018 
  4. Raoult, N., Delorme, B., Ottlé, C., Peylin, P., Bastrikov, V., Maugis, P., and Polcher, J.: Confronting soil moisture dynamics from the ORCHIDEE land surface model with the ESA-CCI product: perspectives for data assimilation, Remote Sens., 10, 1786, doi: 10.3390/rs10111786 
  5. Bastrikov, V., MacBean, N., Bacour, C., Santaren, D., Kuppel, S., and Peylin, P.: 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), Geosci. Model Dev., 11, 4739-4754, doi: 10.5194/gmd-11-4739-2018  


  1. Li, Y., Yang, H., Wang, T., MacBean, N., Bacour, C., Ciais, P., Zhang, Y., Zhou, G., and Piao, S.: 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 
  2. Thum, T., MacBean, N., Peylin, P., Bacour, C., Santaren, D., Longdoz, B., Loustau, D., and Ciais, P.: 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, doi: 10.1016/j.agrformet.2016.12.004  
  3. Benavides Pinjosovsky, H. S., Thiria, S., Ottlé, C., Brajard, J., Badran, F., and Maugis, P.: Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6, Geosci. Model Dev., 10, 85-104, doi: 10.5194/gmd-10-85-2017  
  4. Druel, A., Peylin, P., Krinner, G., Ciais, P., Viovy, N., Peregon, A., Bastrikov, V., Kosykh, N., and Mironycheva-Tokareva, N.: Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0), Geosci. Model Dev., 10, 4693-4722, doi: 10.5194/gmd-10-4693-2017 


  1. MacBean, N., Peylin, P., Chevallier, F., Scholze, M. and Schürmann, G.: Consistent assimilation of multiple data streams in a carbon cycle data assimilation system, Geosci. Model Dev., 9, 3569-3588, doi: 10.5194/gmd-9-3569-2016 
  2. 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.: A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle, Geosci. Model Dev., 9, 3321-3346, doi: 10.5194/gmd-9-3321-2016  
  3. Chen, Y., Ryder, J., Bastrikov, V., McGrath, M. J., Naudts, K., Otto, J., Ottlé, C., Peylin, P., Polcher, J., Valade, A., Black, A., Elbers, J. A., Moors, E., Foken, T., van Gorsel, E., Haverd, V., Heinesch, B., Tiedemann, F., Knohl, A., Launiainen, S., Loustau, D., Ogée, J., Vessala, T., and Luyssaert, S.: Evaluating the performance of land surface model ORCHIDEE-CAN v1.0 on water and energy flux estimation with a single- and multi-layer energy budget scheme, Geosci. Model Dev., 9, 2951-2972, doi: 10.5194/gmd-9-2951-2016 


  1. MacBean, N., Maignan, F., Peylin, P., Bacour, C., Bréon, F.-M., and Ciais, P.: 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  
  2. 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.: 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  


  1. Santaren, D., Peylin, P., Bacour, C., Ciais, P., and Longdoz, B.: Ecosystem model optimization using in situ flux observations: benefit of Monte Carlo versus variational schemes and analyses of the year-to-year model performances, Biogeosciences, 11, 7137-7158, doi: 10.5194/bg-11-7137-2014 
  2. Kuppel, S., Peylin, P., Maignan, F., Chevallier, F., Kiely, G., Montagnani, L., and Cescatti, A.: Model–data fusion across ecosystems: from multi-site optimizations to global simulations, Geosci. Model Dev., 7, 2581-2597, doi: 10.5194/gmd-7-2581-2014  


  1. Peng, S. S., Piao, S. L., Shen, Z. H., Ciais, P., Sun, Z. Z., Chen, S. P., Bacour, C., Peylin, P., Chen, A. P.: 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 
  2. Kuppel, S., Chevallier, F., and Peylin, P.: Quantifying the model structural error in carbon cycle data assimilation systems, Geosci. Model Dev., 6, 45-55, doi: 10.5194/gmd-6-45-2013  


  1. Kuppel, S., Peylin, P., Chevallier, F., Bacour, C., Maignan, F., and Richardson, A. D.: Constraining a global ecosystem model with multi-site eddy-covariance data, Biogeosciences, 9, 3757-3776, doi: 10.5194/bg-9-3757-2012  


  1. Verbeeck, H., Peylin, P., Bacour, C., Bonal, D., Steppe, K., and Ciais, P.: Seasonal patterns of CO2 fluxes in Amazon forests: Fusion of eddy covariance data and the ORCHIDEE model, J. Geophys. Res., 116, G02018, doi: 10.1029/2010JG001544  


  1. Rayner P. J.: The current state of carbon-cycle data assimilation. Current Opinion in Environmental Sustainability 2, 289-296, doi: 10.1016/j.cosust.2010.05.005 


  1. Williams, M., Richardson, A. D., Reichstein, M., Stoy, P. C., Peylin, P., Verbeeck, H., Carvalhais, N., Jung, M., Hollinger, D. Y., Kattge, J., Leuning, R., Luo, Y., Tomelleri, E., Trudinger, C. M., and Wang, Y. -P.: Improving land surface models with FLUXNET data, Biogeosciences, 6, 1341-1359, doi: 10.5194/bg-6-1341-2009 


  1. Santaren, D., Peylin, P., Viovy, N., and Ciais, P.: Optimizing a process-based ecosystem model with eddy-covariance flux measurements: A pine forest in southern France, Global Biogeochem. Cycles, 21, GB2013, doi: 10.1029/2006GB002834