PUBLICATIONS
(based on ORCHIDEE Data Assimilation System)

2019

  1. 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  

2018

  1. 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  
  2. 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 
  3. 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 
  4. 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  

2017

  1. 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  
  2. 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  
  3. 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 

2016

  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 

2015

  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  

2014

  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  

2013

  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  

2012

  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  

2011

  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  

2010

  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 

2009

  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 

2007

  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