32 citations as recorded by crossref.

1. Benchmarking the seasonal cycle of CO2 fluxes simulated by terrestrial ecosystem models S. Peng et al.
2. Parameterization of Tree and Shrub Stem Wood Density Adaptions to Multiple Climate and Soil Factor Gradients X. Song et al.
3. Biogenic isoprene emissions, dry deposition velocity, and surface ozone concentration during summer droughts, heatwaves, and normal conditions in southwestern Europe A. Guion et al.
4. Global Variability of Simulated and Observed Vegetation Growing Season D. Peano et al.
5. APIFLAME v1.0: high-resolution fire emission model and application to the Euro-Mediterranean region S. Turquety et al.
6. Parameterization of height–diameter and crown radius–diameter relationships across the globe X. Song et al.
7. Long-term Wood Production in Water-Limited Forests: Evaluating Potential CO2 Fertilization Along with Historical Confounding Factors J. Madrigal-González et al.
8. Global biogenic volatile organic compound emissions in the ORCHIDEE and MEGAN models and sensitivity to key parameters P. Messina et al.
9. A framework for benchmarking land models Y. Luo et al.
10. Impact of the New South Wales fires during October 2013 on regional air quality in eastern Australia G. Rea et al.
11. Using satellite data to improve the leaf phenology of a global terrestrial biosphere model N. MacBean et al.
12. Constraining a global ecosystem model with multi-site eddy-covariance data S. Kuppel et al.
13. Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables M. Dantas de Paula et al.
14. APIFLAME v2.0 biomass burning emissions model: impact of refined input parameters on atmospheric concentration in Portugal in summer 2016 S. Turquety et al.
15. 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 Y. Chen et al.
16. Impacts of land-surface heterogeneities and Amazonian deforestation on the wet season onset in southern Amazon J. Sierra et al.
17. Modelling LAI, surface water and carbon fluxes at high-resolution over France: comparison of ISBA-A-gs and ORCHIDEE S. Lafont et al.
18. A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle P. Peylin et al.
19. Droughts and heatwaves in the Western Mediterranean: impact on vegetation and wildfires using the coupled WRF-ORCHIDEE regional model (RegIPSL) A. Guion et al.
20. Simulating damage for wind storms in the land surface model ORCHIDEE-CAN (revision 4262) Y. Chen et al.
21. Seasonal leaf dynamics for tropical evergreen forests in a process-based global ecosystem model M. De Weirdt et al.
22. On the ability of a global atmospheric inversion to constrain variations of CO2 fluxes over Amazonia L. Molina et al.
23. Synthesizing models useful for ecohydrology and ecohydraulic approaches: An emphasis on integrating models to address complex research questions S. Brewer et al.
24. Future of African terrestrial biodiversity and ecosystems under anthropogenic climate change G. Midgley & W. Bond
25. Evaluation of Land Surface Models in Reproducing Satellite-Derived LAI over the High-Latitude Northern Hemisphere. Part I: Uncoupled DGVMs G. Murray-Tortarolo et al.
26. Model–data fusion across ecosystems: from multisite optimizations to global simulations S. Kuppel et al.
27. Impact of atmospheric corrections on satellite imagery for corn yield prediction using machine learning O. da Costa et al.
28. Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts C. Szczypta et al.
29. Multi-model assessment of trends, variability and drivers of terrestrial carbon uptake in India A. Rao et al.
30. Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models G. Forzieri et al.
31. Impact of precipitation intermittency on NAO-temperature signals in proxy records M. Casado et al.
32. Plant phenology evaluation of CRESCENDO land surface models – Part 1: Start and end of the growing season D. Peano et al.