D. Santaren

发表

Joint assimilation of eddy covariance flux measurements and FAPAR products over temperate forests within a process‐oriented biosphere model

E. Dufrene, C. Bacour, D. Berveiller, 2015 .

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)

C. Bacour, P. Peylin, N. MacBean, 2018, Geoscientific Model Development.

Ecosystem model optimization using in situ flux observations: Benefit of Monte Carlo versus variational schemes and analyses of the year-to-year model performances

Philippe Ciais, Philippe Peylin, Cédric Bacour, 2013 .

A global map of emission clumps for future monitoring of fossil fuel CO2 emissions from space

Philippe Ciais, Shu Tao, Greet Janssens-Maenhout, 2018, Earth System Science Data.

Optimizing a process‐based ecosystem model with eddy‐covariance flux measurements: A pine forest in southern France

Philippe Ciais, Nicolas Viovy, Philippe Peylin, 2007 .

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

P. Ciais, C. Bacour, B. Longdoz, 2017 .

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

C. Ottlé, F. Maignan, C. Bacour, 2022, Global Biogeochemical Cycles.

A local- to national-scale inverse modeling system to assess the potential of spaceborne CO2 measurements for the monitoring of anthropogenic emissions

P. Ciais, F. Bréon, F. Chevallier, 2021 .

Analysis of temporal and spatial variability of atmospheric CO2 concentration within Paris from the GreenLITE™ laser imaging experiment

P. Ciais, F. Bréon, M. Ramonet, 2019 .

Analysis of temporal and spatial variability of atmospheric CO2 concentration within Paris from the GreenLITE™ laser imaging experiment

P. Ciais, F. Bréon, M. Ramonet, 2019, Atmospheric Chemistry and Physics.

The Potential of Low-Cost Tin-Oxide Sensors Combined with Machine Learning for Estimating Atmospheric CH4 Variations around Background Concentration

P. Ciais, M. Ramonet, G. Broquet, 2021, Atmosphere.

Land surface model parameter optimisation using in-situ flux data: comparison of gradient-based versus random search algorithms

C. Bacour, P. Peylin, N. MacBean, 2018 .

Complementing XCO2 imagery with ground-based CO2 and 14CO2 measurements to monitor CO2 emissions from fossil fuels on a regional to local scale

P. Ciais, F. Bréon, F. Chevallier, 2022, Atmospheric Measurement Techniques.

Reconstruction of high-frequency methane atmospheric concentration peaks from measurements using metal oxide low-cost sensors

P. Ciais, M. Ramonet, G. Broquet, 2023, Atmospheric Measurement Techniques.

Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe

E. Ceschia, B. Heinesch, M. Mauder, 2024, International Journal of Applied Earth Observation and Geoinformation.